Podcast appearances and mentions of phil mckinney

Twenty-one years. That's how long I've been doing this. Producing content. Showing up. Week after week, with only a handful of exceptions—most of them involving hospitals and cardiac surgeons, but that's another story. After twenty-one years, you learn what lands and what doesn't. You learn not to get too attached because you never know what's going to connect. But this one surprised me. Thinking 101—the response has been different. More comments. More questions. More people saying, "This is exactly what I needed." It's made me reflect on why I started this series. Years ago, I was in a room with people from the Department of Education. I asked them a simple question: Why are we graduating people who can't think? Not "don't know things." Can't think. Can't reason through a problem. Can't evaluate an argument. Their answer was... let's just say it wasn't satisfying. That moment stuck with me. When AI exploded onto the scene—when everyone suddenly had a machine that could generate answers instantly—it became clear: thinking for yourself isn't just valuable anymore. It's survival. That's what Part One was about. The Foundations. Building your thinking toolkit. So what's next? For the next few weeks—nothing. We're taking a breather for the holidays. I'm going to spend time with my wife, my kids, my grandkids. We'll be back in early January. And if you're heading to CES in Las Vegas that first week—let me know. I'd love to meet up. But before I go, I have a question for you. Should there be a Part Two? I have ideas. If Part One was about building your toolkit, Part Two could be about what happens when you have to use it. Because knowing how to think and making good decisions aren't the same thing. Real decisions happen when you're tired. When you're stressed. When your own brain is working against you. Part Two could be about that gap—between knowing and doing. But I want to hear from you first. Should I do it? What topics would you want covered? What questions are you wrestling with? Post a comment. If you're a paid subscriber on Substack, send me a DM—I read those. And speaking of paid subscribers—that's the best way to support the team that makes this happen. Twenty-one years of showing up doesn't happen alone. You can also visit our store at innovation DOT tools for merch, my book, and more. Part One is done. The holidays are calling. Thank you for making this series land the way it did. See you in January. I'm Phil McKinney. Take care of yourselves—and each other.

Michael Dell and his investors spent twenty-five billion dollars to buy back Dell Technologies. But they weren't really buying a company. They were buying freedom from quarterly earnings pressure. I'm Phil McKinney, former CTO of Hewlett-Packard, and I witnessed how this pressure shaped decisions for years. Today, we are exploring why the WSJ's recent defense of quarterly reporting misses what actually happens inside corporate boardrooms. The Reality of Quarterly Pressure I want to show you what quarterly reporting actually looks like from the inside. Let me paint you a picture. It's week seven of the quarter, and you're in a conference room with your executive team. On the screen are two critical numbers - your revenue projection and Wall Street's expectations. They don't align. During my time as CTO at HP, I found myself in these situations repeatedly. R&D projects worth billions in the future would get paused. Innovation initiatives that could transform the company would get delayed. Not because they lacked value. But because we had weeks to hit the quarterly numbers. What struck me was how predictable this became. Quarter-end approaches? Cut the long-term stuff. Meet short-term targets. Rinse and repeat. When your stock price swings ten percent over missing earnings by three cents per share, you optimize for quarterly performance, even when it destroys long-term competitiveness. Now, this is where it gets interesting. One CEO escaped this system entirely. The Dell Example: Twenty-Five Billion Dollar Proof Here's the proof that this system is broken. Michael Dell and Silver Lake paid $ 24.9 billion for one thing: freedom from quarterly earnings pressure, killing Dell's long-term potential. Dell's explicit goal: "No more pulling R&D and growth investments to make in-quarter numbers." What happened next was remarkable. R&D spending jumped from just over one billion to over four billion dollars. That's a 400 percent increase. Dell transformed from a declining PC manufacturer to an enterprise solutions leader. The return on investment by 2023? Seventy billion dollars. What Dell did wasn't just a corporate restructuring. It was a twenty-five billion dollar bet that quarterly reporting destroys long-term value. And they were proven spectacularly right. If you've experienced similar pressure at your company, I'd love to hear about it in the comments. Why the WSJ Analysis Falls Apart So with examples like Dell showing the impact, why does the WSJ still support quarterly reporting? The WSJ points to the UK's optional move from quarterly to semi-annual reporting and notes that companies didn't dramatically change behavior. Their conclusion: quarterly reporting isn't the real problem. That reasoning ignores a fundamental truth. We've trained an entire generation to think in ninety-day cycles. Business schools teach earnings management. Compensation rewards quarterly performance. Analysts' careers depend on short-term predictions. Journalists need something to write about, like quarterly results.  You don't undo decades of this quarterly mindset simply by making reporting optional. The UK comparison is meaningless without addressing the ecosystem that reinforces short-term thinking. The Big Tech Illusion The WSJ claims Big Tech's AI investments prove quarterly reporting doesn't hinder long-term thinking. The argument misses the point completely. Google, Microsoft, and Meta can hide enormous R&D in their massive profit margins. When you're generating margins of twenty to thirty percent on hundreds of billions in revenue? You can invest billions in moonshots while still beating quarterly expectations. But what about manufacturing companies with five percent margins? Healthcare companies fighting regulations? Emerging tech businesses that can't disguise innovation investments? The current system creates a two-tiered economy. Only the most profitable companies can think long term. Everyone else gets trapped in quarterly optimization cycles. And that's precisely why this threatens America's competitive future. What's Really at Stake America's competitive advantage came from patient, long-term investments in breakthrough technologies. Semiconductors, the internet, biotechnology - all required decades of sustained investment. Today's quarterly regime systematically discourages ‌"patient innovation". I call it the "fifty-year overnight success" - transformative innovations need sustained investment over decades. Try explaining that to analysts who want to know why margins dropped two percent. While we optimize for quarters, competitors in China make decade-long investments in critical technologies. We're giving away our innovation advantage. Three Real Solutions Switching to semi-annual reporting solves nothing. Six months isn't different from three months for long-term thinking. Three reforms could actually move the needle: First - eliminate forward-looking earnings guidance. This forces public commitments about future performance, creating pressure to hit predictions regardless of better opportunities. Second - separate long-term innovation investments from operational expenses in accounting. Give investors visibility into both current performance and future potential. Third - create metrics and incentives that reward patient capital deployment, not just quarterly performance. The Bottom Line The stakes aren't an abstract policy debate. It's about America's economic future. Academic research provides a valuable perspective, but there's often a gap between theory and practice when it comes to corporate decision-making under pressure. In my experience, there's often a significant gap between how these systems work in theory versus practice. The quarterly reporting system creates pressures that can undermine long-term thinking, even when that's not the intention. Next time the Wall Street Journal analyzes corporate behavior, here's an idea: talk to someone who's actually lived it. If these insights were useful to you, I'd appreciate your support through a like or subscription. I'm curious about your experiences with this. Have you seen quarterly pressure affect decision-making at your company? What changes would make the most difference? For more perspectives on innovation and corporate strategy, you can find it here. I've also written a full op-ed rebuttal to the WSJ article on my Substack publication Studio Notes.

Michael Dell and his investors spent twenty-five billion dollars to buy back Dell Technologies. But they weren't really buying a company. They were buying freedom from quarterly earnings pressure.   I'm Phil McKinney, former CTO of Hewlett-Packard, and I witnessed how this pressure shaped decisions for years. Today, we are exploring why the WSJ's recent […]

A software engineer grabbed a random word from a dictionary – "beehive" – and within hours designed an algorithm that saved his company millions. While his colleagues were working harder, he was thinking differently. This breakthrough didn't come from luck. It came from lateral thinking – a systematic approach to finding solutions hiding in plain sight. I'm Phil McKinney and welcome to my Innovation Studio. In this episode, we will cover the lateral thinking framework. Not theory – a practical, step-by-step system you can use immediately. You'll try your first technique in the next five minutes. By the end of this episode, you'll have four specific techniques that transform how you approach problems, plus practice methods that make mastery inevitable. And hey, if this kind of framework thinking resonates with you, then hit that subscribe and like button. It helps us with the algorithm. If you want to dive deeper into these topics, then subscribe to my Studio Notes on Substack. Plus, if you know someone who might find this episode useful, feel free to share it with them. Alright, let's dive in. Here's what most people miss: breakthrough solutions don't come from thinking faster or working longer. They come from thinking differently. While everyone else improves using existing tools and approaches, lateral thinkers reimagine entire problems. For example, Southwest Airlines didn't create a better airline experience - they reimagined air travel as mass transportation. Tesla didn't build superior cars - they re-conceptualized personal mobility around sustainable energy. These companies succeeded by approaching familiar challenges through completely different frameworks. The question isn't whether you're smart enough to solve problems - you are. The question is whether you're willing to disrupt your thinking patterns to discover solutions that conventional logical approaches miss. But here's where most people get lateral thinking completely wrong, and understanding this distinction will determine whether you develop breakthrough capabilities or just become better at brainstorming... Lateral Thinking vs Linear Thinking  What is the distinction between Linear and Lateral thinking? When faced with a problem, most people use linear thinking - they analyze what's wrong and optimize within existing frameworks. It's logical, sequential, and focuses on improving current approaches. Lateral thinking does something completely different. Instead of improving what exists, it changes how you perceive the problem itself. Let me illustrate the difference with a single example. When customers complained about long wait times, linear thinking said, "Make the elevators faster." Lateral thinking asked, "What if waiting wasn't the real problem?" The solution? Install mirrors next to elevators. People stopped complaining because they were distracted, not because waits got shorter. Linear thinking improved the elevator. Lateral thinking eliminated the problem by changing what the problem actually was. This is Dr. Edward de Bono's systematic method for shifting perceptions entirely. As he explained: "To find breakthrough solutions, change where you're looking, not just how hard you're looking." The challenge isn't that people lack creativity - it's that they don't have systematic methods for breaking free from mental patterns that limit them. Lateral thinking offers specific techniques for generating what de Bono referred to as "movement" in thinking. When everyone in your industry follows similar approaches, breakthrough opportunities emerge for those who think differently. While competitors optimize existing methods, lateral thinkers discover entirely different approaches. This operates on four distinct levels that build systematic capabilities. The progression from beginner to expert follows a pattern that will surprise you... The Four-Level Mastery Framework  The lateral thinking framework has four progressive levels. Here's a quick overview of each so you have context before we explore them each in detail. Level One: Suspend Judgment and Break Patterns – Your foundation level. You'll learn to deliberately disrupt automatic thinking responses and embrace ideas that seem absurd. This creates the mental environment where breakthrough solutions can emerge. Level Two: Random Input for Forced Connections – Intermediate level. You'll use systematic provocations to force your brain into unfamiliar territory. This isn't random creativity - it's controlled disruption that bypasses your brain's tendency to look for solutions in familiar places. Level Three: Challenge Sacred Assumptions – Advanced thinking. You'll systematically examine and reverse the fundamental premises everyone else takes for granted. This is about creating "movement" in thinking by making the familiar strange. Level Four: Embrace Deliberate Absurdity – Expert level. You'll find breakthrough solutions by seriously exploring ideas that seem obviously wrong. This isn't about being silly - it's about using absurdity as a systematic tool for discovering hidden insights. Quick Demo: Before we dive deep, let's try one technique. Think of any current challenge you're facing. Now grab the nearest object - a pen, coffee mug, your phone, anything. Spend thirty seconds asking: "How is this object like my problem?" Force weird connections. A pen runs out of ink - maybe your problem needs fresh input. A coffee mug holds liquid - maybe your challenge needs a container or boundary. Your phone connects people - maybe your issue needs better communication. Notice how this random object sparked different angles? That's lateral thinking in action. This was just a taste - each level has systematic techniques that amplify this effect. Here's what's powerful about this progression. You don't need to master all four levels to see dramatic results. Level One techniques alone can solve problems that teams couldn't crack in weeks. But when you combine all four levels, you develop innovation confidence – the unshakeable belief that creative solutions exist for every problem. But the real power comes from developing what I call "innovation confidence" - the systematic ability to find creative solutions when conventional approaches hit dead ends. Ready to transform how you approach problems? Let's start with Level One, but I need to warn you - what seems like the simplest technique often produces the most unexpected breakthroughs... Level 1: Pattern Breaking Techniques Your brain is a pattern-recognition machine. It looks for familiar situations and applies solutions that worked before. This efficiency usually helps, but when facing new problems, these patterns become invisible barriers that prevent you from finding new solutions. Level One breaks these patterns systematically. Here are three specific techniques: Technique One: Change Your Routine Disrupt both your thinking environment and daily patterns. Your brain associates thought patterns with specific locations and routines. If you always brainstorm in the same conference room, you'll have the same types of ideas. Southwest Airlines used this brilliantly. Instead of studying airlines, they studied bus transportation. This environmental change broke their mental patterns about air travel. They discovered point-to-point routes, eliminated assigned seating, removed meal service, and focused on quick turnarounds. Every innovation came from thinking like a bus company, not an airline. You can apply this by changing where you tackle problems, taking different routes to work, using your non-dominant hand for simple tasks, or changing when you tackle challenging problems during the day. These disruptions create mental flexibility that carries over into creative problem-solving. Technique Two: Question Core Assumptions Write down three assumptions about your current challenge. Then ask, "What if the opposite were true?" Most problems have hidden assumptions we never examine. Example: Improving customer service. Your assumptions might be that customers want fast responses, prefer human interaction, and contact you when problems occur. Consider this: What if customers prefer thoughtful responses over fast ones? What if they choose good self-service over poor human service? What if you could help customers before problems arise? Suddenly, you're thinking about proactive support, comprehensive self-service resources, and quality over speed. These insights come from questioning assumptions everyone else accepts. Technique Three: Time-Box the Impossible Spend ten minutes seriously considering solutions that seem impossible. Often "impossible" means "we haven't figured out how yet." Amazon's same-day delivery seemed impossible until they reimagined warehousing. SpaceX's reusable rockets seemed impossible until they questioned whether rockets had to be disposable. What seems impossible in your field might just need different thinking. Pattern breaking works because it forces your brain out of automatic mode. But what happens when you want to accelerate this process dramatically? The next level introduces something so counterintuitive that it seems almost absurd - until you see what it can create... Level 2: Random Input Technique Level Two introduces controlled randomness that forces breakthrough connections. You'll learn to make your brain create links it would never make naturally. This technique created Post-it Notes at 3M. A scientist had a "failed" adhesive that barely stuck. A colleague needed better bookmarks for his church hymnal. The random collision of these unrelated problems sparked repositionable sticky notes – now generating over a billion dollars annually. The Process: Step One: Define your challenge in one clear sentence. Be specific. Step Two: Generate random input. Open a book to a random page and point to a word, use online random word generators, or grab three random objects around you. Step Three: Force connections. Spend fifteen minutes finding ways to connect your random input to your challenge. No connection is too weird. The stranger, the better. Real Example: Challenge: "Reduce employee turnover" Random word: "Garden" Connections: Gardens need regular watering – employees need consistent check-ins. Gardens grow better with proper soil – work environment matters. Gardens require pruning dead parts – eliminate toxic behaviors. Gardens have seasonal cycles – adjust expectations based on business rhythms. These random connections lead to employee development programs, environmental improvements, cultural changes, and seasonal workflow adjustments. None of these insights came from traditional HR thinking. Why This Works: Random inputs bypass your brain's tendency to look for solutions in familiar places. They force neural pathways that wouldn't connect naturally. Breakthrough solutions often hide in unexpected combinations. Which level is clicking for you so far? Pattern breaking or random connections? Both build the foundation for what's coming next... Before we go deeper, let's practice what you just learned. Pick that same challenge from earlier. Now try a different Level 2 approach: grab any book, open to a random page, and point to a word. Spend one minute connecting that word to your problem. What new angles emerge? This compound effect - layering techniques - is where breakthrough thinking lives. The Random Input Technique accelerates breakthrough thinking by forcing neural pathways that wouldn't connect naturally. But there's something even more powerful waiting in Level Three—a method that challenges the very foundations everyone else builds their solutions on... Level 3: Challenge Sacred Assumptions  Level Three challenges the assumptions that others take for granted. This is where lateral thinking becomes powerful – you'll start seeing opportunities that are invisible to your competition. Netflix used "What If" thinking to transform entertainment. In 2007, they dominated DVD-by-mail with seven million subscribers. The industry assumed customers wanted to own movies, physical media provided the best quality, and broadband was too slow for streaming. Netflix challenged every assumption: What if customers didn't want to own movies? What if delivery delays were barriers, not services? What if broadband became fast enough? Most radically: What if we cannibalized our own successful business? These questions led to streaming launch in 2007. Today, Netflix has over 240 million subscribers, generating $31 billion annually, while competitors who didn't question assumptions have disappeared. The Process: Step One: List your core assumptions. These are things "everyone knows" are true in your field. Step Two: Reverse each assumption completely. If customers want speed, ask "What if they preferred thoughtful slowness?" If more choices seem better, ask "What if fewer choices improved satisfaction?" Step Three: Push to extremes and chain your questions. What if this took ten times longer? What if resources were unlimited? Take your best scenario and ask What If about that result. Keep pushing until you reach uncomfortable territory. The biggest breakthroughs come when you challenge assumptions that feel fundamental– like rules. "What If" thinking reveals hidden opportunities within your assumptions. However, the most counterintuitive breakthroughs often come from an approach that seems to violate common sense entirely, which brings us to the expert level that turns logic on its head... Level 4: Embrace Deliberate Absurdity  Level Four is expert-level lateral thinking that embraces deliberate absurdity. You'll find breakthrough solutions by doing exactly the opposite of what seems logical. It sounds counterintuitive because it is – and that's precisely why it works. IKEA revolutionized furniture by providing what seemed like terrible customer service. Instead of delivering assembled furniture, they made customers assemble it themselves. This reversed every industry assumption: customers would work instead of receiving convenience, invest time instead of getting immediate use. The "backward" approach revealed hidden benefits: dramatically reduced shipping costs, minimal storage requirements, lower prices, and, surprisingly, customer satisfaction from successful assembly. What seemed like terrible service became a competitive advantage. IKEA now generates €38 billion annually. The Process: Step One: List how your industry typically handles similar challenges. Write down the conventional wisdom everyone follows. Step Two: Reverse each approach completely. If your industry emphasizes speed, consider slowness. If everyone wants more features, consider fewer features. Step Three: Explore the reversals seriously. Don't dismiss opposites immediately. Look for unexpected advantages in seemingly wrong approaches. Sometimes, the best solutions hide behind what appear to be terrible ideas. Real Example: Dollar Shave Club did opposite thinking with razors. While the industry focused on premium features, advanced technology, and retail partnerships, Dollar Shave Club eliminated fancy features, used simple razors, and bypassed retail entirely by offering direct subscriptions. Result: While major brands competed on blade technology and premium positioning, Dollar Shave Club captured a massive market share by doing everything the industry thought was wrong—and sold for $1 billion. The most counterintuitive solutions often hide in directions that make everyone else uncomfortable. Don't just think outside the box – think in the opposite direction of the box. You now have four levels of lateral thinking techniques. Do you know hat separates people who learn these concepts from those who actually master them? A system of practice that transforms theory into instinctive capability... The Practice System That Guarantees Mastery  The following two practice approaches transform lateral thinking from a conceptual understanding into an instinctive skill. Use them solo for breakthrough thinking or with colleagues for collaborative problem-solving. Approach One: The Assumption-Breaking Generator This combines three powerful techniques for compound breakthroughs. Start with a real problem you're facing. Step 1: List three core assumptions about your challenge - things "everyone knows" are true.  Step 2: Reverse each assumption completely. What if the opposite were true?  Step 3: Grab a random word (book, phone, ask someone) and force connections between that word and your reversed assumptions. Example:  Challenge = "Improve customer service"  Assumptions: Customers want speed, prefer humans, contact us when problems occur.  Reversals:  What if customers want thoughtfulness over speed?  What if they prefer self-service?  What if we helped before problems arise?  Random word: "Garden" → Gardens need seasonal care = maybe customers need different support at different business cycles. This creates insights you'd never reach with single techniques alone. Approach Two: The Escalation Challenge Perfect for pushing "What If" thinking to breakthrough levels. Start with a real problem. Propose a "What If" scenario addressing it. Keep pushing ideas to more extreme territory until you say, "That's impossible... but what if we could?" Example:  "What if customers never waited?" → "What if they were served before arriving?" → "What if we predicted needs before customers knew them?" Suddenly, you're thinking about predictive analytics and anticipatory service. Practice Tips: Use real problems, not theoretical ones Start with 15-minute sessions The more ridiculous ideas become, the better Document insights immediately Practice daily for compound skill building Embrace absurdity – breakthroughs hide in impossible ideas Your Practice Plan: Choose one approach. Apply it to a current challenge. Spend 15 minutes. Document what emerges. Try another approach tomorrow. Build lateral thinking into your regular problem-solving routine. Practice transforms these techniques from interesting concepts into instinctive capabilities. The more you use them, the more naturally you'll see solutions others miss.  Conclusion Now comes the moment of truth. You have the complete framework, but what you do next will determine whether this becomes just another interesting video you watched, or the beginning of a fundamental shift in how you approach every challenge you'll ever face. Companies investing in lateral thinking see documented ROI from 5:1 to 20:1. Individual professionals show 300% increases in viable ideas. But the real value is personal transformation – becoming someone who consistently finds breakthrough solutions. Your assignment is simple: pick one problem you're currently facing and apply one technique right now. Not later – right now. Start with whichever level feels most accessible. Document what happens. Share your discoveries in the comments. What patterns did you break? What random connections led to insights? What assumptions proved wrong? Your examples help others see possibilities and build our breakthrough thinking community.

The most popular piece of innovation advice in Silicon Valley is wrong—and it's killing great ideas before they have a chance to succeed. I can prove it with a story about a glass of water that sat perfectly still while a car bounced beneath it. My name is Phil McKinney. I spent decades as HP's CTO making billion-dollar innovation decisions, and I learned the hard way that following "fail fast" advice cost us billions and robbed the world of breakthrough technologies. Today, I'm going to share five specific signs that indicate when an idea deserves patience instead of being killed prematurely. Miss these signs, and you'll become another "fail fast" casualty. The Water Glass That Changed Everything So there I was around 2006, sitting in Dr. Bose's lab at Bose Corporation, and he was showing me what honestly looked like just a regular car seat mounted on some automotive hardware. I'm thinking, "Okay, what's the big deal here?" But then he activates the system and has his assistant start driving over these increasingly aggressive road obstacles. And here's what blew my mind—the car chassis is bouncing around like crazy, but the seat? Perfectly still. Then Dr. Bose does something that I'll never forget. He places a full glass of water on the seat and tells his assistant to hit a speed bump at thirty miles per hour. The chassis lurches violently, but not a single drop of water spills. And here's what should terrify every "fail fast" advocate—this technology took fifty years to develop. Dr. Bose began developing the mathematical model in the 1960s. Under today's quarterly Wall Street pressure, this project would have been killed a hundred times over. When I asked Dr. Bose how he could invest in an idea for fifty years, he explained that keeping Bose private meant they weren't subject to the quarterly results pressure that often destroys patient innovation at public companies. At HP, we were trapped in that system—and it cost HP billions. How "Fail Fast" Destroyed Billions at HP As a public company, we lived and died by quarterly earnings calls. Every ninety days, we had to show growth, and that quarterly drumbeat made us masters at killing promising ideas the moment they didn't produce immediate results. Let me give you three examples that still keep me up at night: WebOS: We acquired Palm for one-point-two billion dollars in 2010. Revolutionary interface, years ahead of its time. Killed it when it didn't achieve immediate dominance. Every time you swipe between apps today, you're using thinking we threw away. Digital cameras: We literally invented the future of photography. Abandoned it the moment smartphones started incorporating cameras. HP Halo: Immersive telepresence rooms with extraordinary meeting experiences. Sold to Polycom for eighty-nine million in twenty-eleven when quarterly pressures demanded focus. We bought Poly back for three-point-three billion in twenty-twenty-two. We paid thirty-seven times more to reacquire capabilities we built. We weren't bad managers. We were trapped by the quarterly earnings system that makes "fail fast" the only option for public companies. And it was systematically destroying our breakthrough potential. Visit Studio Notes over on Substack where I discuss how these quarterly pressures shaped our boardroom decisions and what we were really thinking. Now, after making these billion-dollar mistakes, I had to figure out how to distinguish between ideas worth killing and ideas worth protecting. What I discovered changed everything—and it comes down to five things I now look for. When I see all five, I know we've got something worth being patient with. Miss even one, and you're probably wasting your time. The Five Things I Now Look For First: Does the Math Actually Work? Here's how to validate the science without being a scientist yourself. Start with peer review. Has this been published in reputable journals? Are other researchers building on it? Red flag: if the only validation comes from the inventors themselves. Next, bring in independent experts. Not consultants who'll tell you what you want to hear—find researchers who have no financial stake in your project. Share your core assumptions with them and ask them to identify any holes. Look for mathematical elegance. Dr. Bose's suspension model was beautiful in its simplicity. Overly complex models with dozens of variables often hide fundamental flaws. Here's your action step: Before investing serious money, get three independent technical reviews. If even one expert raises fundamental concerns about the underlying science, stop. No amount of patience fixes broken physics. Second: Can You Actually Build the Pieces? You need a dependency map. List every technology that has to work for your project to succeed. Then assess each one separately. For each dependency, ask: Are we developing this ourselves, waiting for someone else to solve it, or hoping it gets solved by magic? If more than one critical piece falls in the "magic" category, you're not being patient—you're gambling. Create realistic timelines for each component. Bose needed better actuators, smaller amplifiers, and faster control systems. They could systematically work on each piece. That's patient innovation. But if you need breakthroughs in five unrelated fields simultaneously—like needing better batteries AND quantum computing AND room-temperature superconductors—that's not a plan, that's a wish list. Your action step: Map your critical dependencies. If you can't draw a clear path to solving each one, either find a different approach or walk away. Third: Will Anyone Actually Want This? Don't just look at today's market—study how problems evolve and new markets emerge. Start with pain-point analysis. What specific problem does this solve, and how severe is that pain? Bose started with car comfort but found its real market when truck driver health became a safety issue. Look for regulatory drivers. Often, breakthrough technologies become valuable when regulations change. Environmental rules, safety standards, health requirements—these create demand that didn't exist before. Study early adopters. Who are the customers willing to pay a premium for imperfect solutions? This is your proving ground. If you can't identify specific early adopters willing to pay above-market prices, your timing is probably wrong. Your action step: Identify three specific customer segments who would pay a premium for an early version of your solution. If you can't name them specifically, you're not ready. Fourth: Will You Have Time to Enjoy It? This is about building defensible advantages that competitors can't easily copy. Focus on system-level innovation, not just component improvements. Bose didn't just build better shock absorbers—they created an integrated electromagnetic system that required entirely different expertise. Look for knowledge-accumulation advantages. The longer you work on something, the more you should know about it than anyone else. If competitors can hire away your key people and instantly catch up, you don't have a real advantage. Consider manufacturing complexity. Technologies that require specialized production processes, custom tooling, or rare expertise create natural barriers to entry. Your action step: Write down exactly why it would take competitors at least two years to match your solution, even if they threw unlimited money at it. If you can't make that case convincingly, keep working. Fifth: Can You Actually Survive the Wait? This is the make-or-break assessment. Most good ideas die here, not because the technology fails, but because the organization can't sustain the investment. First, assess your funding horizon. How long can you sustain this before you need to generate revenue? Be brutally honest. Include the cost of delays, scope creep, and inevitable setbacks. Second, evaluate the decision-maker's patience. Will the people approving your budget still be there in three years? Will they still believe in the project when competitors are winning quarterly battles? Third, create protection mechanisms. This might mean dedicated funding that can't be raided for other projects, separate business units, or partnership structures that insulate the project from quarterly pressures. Your action step: Calculate your true funding runway, including realistic setbacks and contingencies. If it's less than the time needed for fundamental breakthroughs, either get more patient capital or find a faster path to revenue. These five assessments work in theory, but do they actually create billion-dollar returns in the real world? The Seventy Billion Dollar Proof Now here's the most compelling modern example—Dell's 2013 privatization. Michael Dell paid twenty-four-point-nine billion for one thing: freedom from the quarterly earnings pressure that was killing their long-term potential. Dell explicitly stated the goal was "no more pulling R&D and growth investments to make quarterly numbers." And the results were remarkable. R&D spending went from one-point-one billion to four-point-four billion, Dell transformed from a declining PC manufacturer to an enterprise solutions leader, and by 2023, the investment had generated an estimated seventy billion dollar return. One of private equity's most successful turnarounds, built on escaping the quarterly Wall Street system that makes "fail fast" the only option for most public companies. Visit Studio Notes over on Substack where I share how Alex Mandl orchestrated this deal and what Michael Dell was really trying to accomplish. Why This Really Matters The Bose Ride system launched in 2010, and it's been improving the lives of truck drivers who were facing whole-body vibration problems that had no technological solution. Academic studies have shown significant reductions in driver pain, lower fatigue levels, and faster recovery times after long road trips. One driver told researchers something that really stuck with me: "I thought I was going to have to quit my job. I was in crisis because my back was in such bad shape, but now I feel great I am driving full-time." If Dr. Bose had followed "fail fast" advice, that driver would still be in pain, and the advance would never have happened. So here's my challenge to you—and it starts with looking at what's sitting right in front of you. Your Innovation Challenge Look at your current portfolio right now. Are there projects that passed mathematics validation but haven't shown commercial results? Projects where the ecosystem isn't ready but the fundamental science is sound? Those might be exactly the innovations that deserve patience instead of "fail fast" pressure. I use the seventy-twenty-ten model: Seventy percent core improvements that move quickly. Twenty percent on adjacent markets with moderate timelines. Ten percent transformational advances—your patient capital investments. Patient innovation creates technological moats that rapid iteration cannot replicate. Once achieved, it often produces faster competitive advantage. You get overnight success after decades of systematic development. The difference between companies that master this and those that don't comes down to asking the right questions. The Questions That Change Everything Instead of asking "How quickly can we bring this to market?" try asking "What needs to get better before this becomes real?" Instead of asking "What's our quarterly burn rate?" try asking "What's the breakthrough potential if we actually solve this?" Instead of asking "Why hasn't this shown results?" try asking "Does the math work, and what pieces need more time?" The companies that master this balance will dominate the next wave of transformative technologies. In a world obsessed with speed, patient innovators are building the technologies that will define the next decade. What opportunity in your organization deserves patience instead of "fail fast" pressure? That question will determine whether you're building the next major advance or killing it before it has a chance to succeed. Visit Studio Notes over on Substack where I tell the complete story of that day in Dr. Bose's lab and the boardroom decisions at HP that we're still paying for today. If this resonates, share your own patient innovation experiences in the comments. And remember: thinking better creates better ideas. Sometimes those ideas need time to become the advances that change everything.

The most popular piece of innovation advice in Silicon Valley is wrong—and it's killing great ideas before they have a chance to succeed. I can prove it with a story about a glass of water that sat perfectly still while a car bounced beneath it. My name is Phil McKinney. I spent decades as HP's […]

In 2011, HP killed a $1.2 billion innovation in just 49 days. I was the Chief Technology Officer who recommended buying it. What happened next reveals why smart people consistently destroy breakthrough technology—and the systematic framework you need to avoid making the same mistake. HP had just spent $1.2 billion acquiring Palm to get WebOS—one of the most advanced mobile operating systems ever created. It had true multitasking when iOS and Android couldn't handle it, an elegant interface design, and breakthrough platform technology. I led the technical due diligence and recommended the acquisition because I believed we were buying the future of mobile computing.We launched it on the HP TouchPad tablet. Then, the CEO killed it just 49 days after launch. Here's a question that should keep every innovation leader awake at night: How do you destroy breakthrough technology worth over a billion dollars in less than two months? The answer isn't what you think. It's not about bad technology, poor market timing, or insufficient resources. It's about systematic thinking errors that intelligent people make when evaluating innovation under pressure. And these same patterns are happening in companies everywhere, right now. I'm going to show you exactly how this happens, why your company is vulnerable to the same mistakes, and give you a proven framework to prevent these disasters before they destroy your next breakthrough innovation. On my Studio Notes on Substack, I share the personal story of watching this unfold while recovering from surgery. In this episode, I want to focus on the systematic patterns that caused this disaster and the decision framework that can prevent it. Here's my promise: by the end of this episode, you'll understand the five thinking errors that consistently destroy innovation value, you'll have a complete decision framework to avoid these traps, and you'll know exactly how to apply this to your current innovation decisions. Because here's what this disaster taught me: intelligence doesn't predict decision quality. Systematic thinking frameworks do. The Pattern That Destroys Billion-Dollar Innovations Let me start with the fundamental problem that makes these disasters predictable. When the HP Board hired Leo Apotheker as CEO, they created what I call a "cognitive mismatch," and it reveals why smart people make terrible innovation decisions. Apotheker came from SAP, where he'd run a $15 billion software company. HP was a $125 billion technology company with breakthrough mobile platform technology. The board put someone whose largest organizational experience was half the size of HP's smallest division in charge of evaluating platform innovations he'd never encountered before. But here's the crucial insight: the problem wasn't his experience level. The problem was how his professional background created mental blind spots that made him literally unable to see WebOS as an opportunity. Here's what's dangerous: Apotheker couldn't see WebOS as valuable because his entire career taught him that software companies don't do hardware. His brain was wired to see hardware as a distraction, not an advantage. To him, WebOS represented exactly the kind of hardware business he wanted to eliminate. Your expertise becomes your blind spot. You literally can't see opportunities outside your professional comfort zone. And this is the first critical principle: Your job background creates mental filters that determine what opportunities you can even see. And this pattern is happening in your company right now. Your finance team evaluates platform investments using metrics designed for traditional products. Your marketing team rejects concepts they can't explain with existing frameworks. Your engineers dismiss breakthrough ideas that don't fit current technical roadmaps. The pattern is always identical: intelligent people using the wrong thinking frameworks to evaluate breakthrough technology. Let me show you exactly how this destroys innovation value. The Five Systematic Thinking Errors That Kill Innovation WebOS died because of five predictable cognitive errors that occur when smart people evaluate breakthrough technology under pressure. These aren't unique to HP—I've seen identical patterns destroy innovation value across multiple industries. Error #1: Solving the Wrong Problem The most dangerous mistake happens before you evaluate any options: framing the wrong decision question. Apotheker was asking "How do I transform HP into a software company?" when the strategic question was "How do we build competitive advantage in mobile computing platforms?" When you optimize solutions for the wrong problem, you get excellent answers that destroy strategic value. The Warning Sign: Your team jumps straight to evaluating options without questioning whether you're solving the right challenge. Error #2: Identity-Driven Decision Making Your professional background creates systematic blind spots about breakthrough opportunities. Software executives see software solutions. Hardware leaders focus on hardware opportunities. Financial experts optimize for traditional metrics. This cognitive filtering happens automatically and distorts how you evaluate platform technologies that don't fit conventional categories. The Warning Sign: Your evaluation team all have similar backgrounds and reach the same conclusions about breakthrough technology. Error #3: Tunnel Vision Under Pressure When executives become obsessed with major initiatives, everything else feels like a distraction. Apotheker became obsessed with acquiring Autonomy, a software company that fit his transformation vision. This tunnel vision made everything else—including breakthrough mobile technology—feel like a distraction from his primary goal. The Warning Sign: Leadership dismisses promising innovations because they don't support the current primary initiative. Error #4: Timeline Compression Under Stress Platform technologies require different evaluation timeframes than traditional products. Forty-nine days isn't enough time to build developer ecosystems, establish retail partnerships, or demonstrate platform traction. But pressure to show decisive leadership compressed HP's decision timeline artificially, creating the illusion of strong leadership while increasing the probability of strategic errors. The Warning Sign: Your team is evaluating breakthrough technology using the same timelines as conventional product launches. Error #5: Wrong Evidence Framework Innovation decisions require fundamentally different success metrics than traditional business evaluation. HP focused on TouchPad sales numbers instead of developer adoption rates, user engagement patterns, or platform differentiation sustainability. They used product metrics to evaluate platform potential, which guaranteed they would see failure instead of recognizing early-stage ecosystem development. The Warning Sign: You're applying traditional business metrics to evaluate breakthrough technology investments. Here's what makes these errors so dangerous: they're invisible to the people making them. Smart teams use these flawed frameworks and feel confident they're making data-driven decisions while systematically destroying innovation value. But these patterns are preventable. After analyzing hundreds of similar disasters, I developed a systematic framework specifically designed to avoid these thinking traps. The DECIDE Framework: Your Innovation Decision Protection System The DECIDE framework addresses each cognitive vulnerability that consistently traps intelligent leaders in innovation contexts. Let me show you exactly how it works and why it would have saved WebOS. D - Define the Real Decision Most innovation failures begin with teams optimizing excellent solutions for poorly defined problems. The Tool: Reframe your decision question three different ways. If all three point to the same choice, you're probably asking the right question. If they point to different choices, you need to determine which frame captures the real strategic challenge. Examples of Different Frames: Financial Frame: "How do we minimize losses on this investment?" Strategic Frame: "How do we build long-term competitive advantage?" Market Frame: "How do we capture emerging opportunities?" Competitive Frame: "How do we position against industry leaders?" Customer Frame: "How do we create unique value for users?" HP's Application: Original Frame: "Should we continue investing in TouchPad given poor sales?" Strategic Reframe: "How do we build a sustainable mobile platform business?" Competitive Reframe: "What's our path to competing with Apple and Google in mobile?" What This Reveals: The reframes show TouchPad was one product in a larger platform opportunity that deserved different evaluation criteria entirely. E - Examine Your Thinking Process Your professional background creates invisible filters that can systematically distort how you interpret breakthrough opportunities. The Tool: If you hired someone with completely different expertise to make this decision, what would they choose? When the gap is huge, you need outside perspectives with different cognitive frameworks. HP's Gap: Enterprise software CEO versus consumer platform strategy requirements. They needed mobile platform thinking, not enterprise software optimization, but never brought that expertise into the decision process. C - Challenge Your Assumptions The most dangerous assumptions feel like established facts and shape your entire analysis without being examined. The Tool: What would have to be true for your least favorite option to actually be the right choice? This forces you to consider alternative interpretations of the same evidence. HP's Assumptions: Platform businesses need immediate profitability, mobile computing won't dominate, differentiated operating systems can't compete with Apple and Google. All of these assumptions were provably false by 2011, but they drove the evaluation process. I - Identify Decision Traps Different types of decisions trigger predictable cognitive biases that distort evaluation in systematic ways. The Tool: Which specific biases is your decision most vulnerable to? Create explicit countermeasures for each identified bias. Common Innovation Decision Biases: Focused on stopping losses vs building advantages (loss aversion) Seeking evidence that supports preferred choice (confirmation bias) Overweighting first information received (anchoring bias) Obsessing with one initiative while missing others (tunnel vision) Choosing options that fit your identity (identity bias) Using recent events to predict outcomes (recency bias) HP's Specific Traps: Focused on stopping TouchPad losses vs building platform advantages (loss aversion) Highlighted negative sales data while ignoring positive developer signals (confirmation bias) Used early TouchPad sales as anchor for all subsequent evaluation (anchoring bias) D - Design Multiple Options Most innovation failures result from evaluating limited options well rather than evaluating good options poorly. The Tool: Generate five genuinely different approaches before evaluating any of them. Breakthrough solutions often emerge from non-obvious alternatives. HP's Missing Options: License WebOS to manufacturers, integrate into PC ecosystem, pivot to enterprise mobile, create hybrid hardware-software strategy. All had genuine potential but were never seriously considered. E - Evaluate with Evidence Platform technologies require fundamentally different success metrics than traditional product evaluation. The Tool: What evidence would predict success for this specific type of innovation? Use frameworks appropriate for breakthrough technology, not conventional business metrics. HP's Error: They used quarterly sales performance and immediate profitability to evaluate platform potential. Platform businesses lose money initially while building network effects that create sustainable advantages later. How to Apply This to Your Innovation Decision Right Now Let me show you how to use this framework with your current innovation decisions. Step One: Identify Your Highest-Stakes Innovation Decision What breakthrough technology, platform investment, or disruptive opportunity is your team evaluating right now? This framework applies to any decision where traditional business metrics might mislead about innovation potential. Step Two: Run the Decision Question Test Before evaluating any options, reframe your decision question three different ways. Are you asking "How do we minimize risk?" or "How do we maximize strategic opportunity?" The frame determines the solutions you'll even consider. Step Three: Audit Your Evaluation Team Who's making this decision? What cognitive filters might their backgrounds create? Do you need advisors with different expertise to see opportunities your current team might miss? Step Four: Challenge Your Obvious Assumptions What would have to be true for the option you least prefer to actually be right? Those conditions might exist or be emerging faster than you realize. Step Five: Identify Your Decision Traps Is your team vulnerable to loss aversion? Anchoring on early data? Tunnel vision around other initiatives? Create specific countermeasures for each identified bias. Step Six: Generate Multiple Approaches Push beyond obvious choices. What would someone from a completely different industry do? What creative alternatives combine elements from different options? Step Seven: Use Appropriate Evidence Are you evaluating platform potential with product metrics? Breakthrough technology with conventional criteria? Innovation investments with traditional business frameworks? Match your evidence to your innovation type. Why This Framework Prevents Innovation Disasters The DECIDE framework works because it addresses the specific cognitive vulnerabilities that consistently trap intelligent people in innovation contexts. Traditional decision-making assumes you know the right questions to ask, can see opportunities clearly, and will use appropriate evaluation criteria. Innovation decisions violate all these assumptions. Breakthrough technologies don't fit existing categories. Platform investments don't follow traditional timelines. Disruptive opportunities can't be evaluated with conventional metrics. The companies that consistently succeed at innovation aren't smarter—they use systematic frameworks designed for uncertainty, breakthrough potential, and non-obvious opportunities. Three Companies Getting This Right: Amazon evaluates platform investments with different metrics than product launches. They expected Kindle, AWS, and Prime to lose money initially while building long-term competitive advantages. Google uses systematic frameworks to avoid identity bias in breakthrough technology evaluation. Android didn't fit their search advertising identity, but they evaluated it with platform-appropriate criteria. Apple applies different decision frameworks to breakthrough products versus incremental improvements. They gave iPhone multiple years to build ecosystem momentum instead of expecting immediate profitability. These companies avoid the systematic thinking errors that destroyed WebOS because they use decision frameworks designed for innovation uncertainty. Your Next Strategic Decision Here's the reality: this challenge isn't going away. Breakthrough technologies will continue emerging faster than traditional business frameworks can evaluate them. The companies that develop systematic innovation decision capabilities will capture enormous value. Those that rely on conventional thinking will consistently destroy breakthrough opportunities. Your Three Action Steps: First: Download the DECIDE Framework toolkit and apply it to your current highest-stakes innovation decision before evaluating any options. Second: Audit your innovation evaluation processes. Are you using traditional business metrics to evaluate breakthrough technology? Conventional timelines for platform investments? Identity-driven thinking for disruptive opportunities? Third: Build systematic innovation decision capabilities into your organization. Train your team to recognize cognitive biases, use appropriate evidence frameworks, and generate multiple creative alternatives. Questions to Consider: What breakthrough opportunity might your company be evaluating with the wrong frameworks right now? How would you know if your team is falling into the same thinking traps that killed WebOS? What would systematic innovation decision capabilities be worth to your competitive advantage? But here's the final piece of this story that shows just how costly these thinking errors can be: Leo Apotheker was fired on September 22, 2011—just 35 days after shutting down WebOS and eleven months after taking over as CEO. The board finally recognized the systematic thinking errors that had destroyed billions in value, but it was too late for WebOS. The human cost of these decisions goes beyond stock prices and quarterly reports. There are real people who believed in breakthrough technology, fought for innovation, and had to watch it get destroyed by preventable thinking errors. The complete personal story of watching this disaster unfold—including details about the brutal aftermath and why I still believe in HP despite everything—is in this week's Studio Notes over on Substack.  Remember: when you have breakthrough technology in your hands, the quality of your decision-making process matters more than the quality of your technology. Intelligence and good intentions aren't enough. You need systematic frameworks for thinking clearly about innovation under uncertainty. The tools exist to prevent these disasters. The question is whether you'll implement them before your next WebOS moment. Until next time, I'm Phil McKinney, and remember—in a world where billion-dollar innovations can be killed in 49 days, systematic decision frameworks might be your most valuable competitive advantage. If you found this week's episode valuable, subscribe to the podcast or watch on the YouTube channel.

University of Washington researchers discovered something that should concern every parent: children who use AI to create can no longer create without it. And here's the concerning part: most parents have absolutely no idea it's happening. If you've been following our series on Creative Thinking in the AI Age, you know I've been tracking how artificial intelligence is rewiring human creativity. We've explored the 30% decline in creative thinking among adults, the science of neuroplasticity, and practical exercises to rebuild our creative capabilities. But today's episode is different. Today, we're talking about your child's developing brain. And I need to be direct with you—the next 30 minutes might be the most important parenting conversation you have this year. Because while we've been worried about AI taking our jobs, it's already changing our children's minds. Unlike us adults, who developed our creative thinking before AI existed, our kids are growing up with artificial intelligence as their creative co-pilot from the very beginning. Here's my promise to you: by the end of this episode, you'll know exactly how to tell if your child is developing AI dependency, you'll understand why their developing brain is more vulnerable than yours, and you'll have an assessment tool to evaluate your family's situation—plus immediate strategies you can start using today. But first, let me show you what's happening in homes just like yours—and why this is both preventable and completely reversible. The Crisis Hiding in Plain Sight A few weeks ago, a mother shared a story that stopped me in my tracks. Her 10-year-old daughter used to spend hours drawing elaborate fantasy worlds, completely absorbed in her creative process. Now, when her mother suggests drawing something, the daughter responds, 'Can I just use AI to make it look better?' At first, this seemed like smart efficiency—why not use available tools? However, when the mother asked her daughter to draw a simple picture with no digital help, something alarming occurred. The child just stared at the blank paper and started crying, unable to create anything on her own. This story isn't unique. It's happening everywhere, and parents are missing it because the signs look like success. Before we go further, let me be clear: this isn't your fault. AI dependency developed gradually, and most parents missed the early signs because they actually looked positive. Think about your own child for a moment. Has their homework gotten easier? Do they finish writing assignments faster than they used to? Are their projects suddenly more polished? If you answered yes, you might be looking at what I call the "homework mirage." Here's what the homework mirage looks like: Your child sits down to write a story for English class. Instead of staring at the blank page like kids have done for generations, they open ChatGPT. They type: "Write me a story about a brave knight." In thirty seconds, they have three paragraphs that would have taken them an hour to write. You see the finished assignment. It's well-written, grammatically correct, and creative. You think, "Great! They're learning to use technology efficiently." But here's what you don't see: your child's brain just missed a crucial workout. Remember in our first episode when we talked about brain pathways being like muscles? When we don't use them, they weaken. This is happening to children at a speed that concerns researchers worldwide. (Reference: Newman, M. et al., 2024, "I want it to talk like Darth Vader: Helping Children Construct Creative Self-Efficacy with Generative AI," University of Washington) Dr. Ying Xu from Harvard put it perfectly when she asked the critical question: "Are they actually engaging in the learning process, or are they bypassing it by getting an easy answer from the AI?" And here's the concerning part—kids who use AI to complete tasks do produce higher quality work in the short term. But when you take the AI away, their abilities are worse than before they started using it. But this goes way beyond homework. Children are experiencing what experts call the "Creative Confidence Crisis." Kids who used to love making art now say, "I'm not good enough" when they see AI-generated images. Children ask AI to help with simple creative tasks, such as making up games or telling stories. The scale of this problem is significant. Recent research shows that 31% of teenagers are already using AI to create pictures and images. Sixteen percent are using it to make music. And parents? Most have no idea how much their children are depending on these tools. As one researcher told me, "Parents and teachers are pretty much out of the loop, so young people are using AI platforms with virtually no guidance." This brings us to a crucial question: Why are children more vulnerable to this than adults? Why Your Child's Brain Is at Risk In our second episode, we explored neuroplasticity—your brain's ability to reorganize itself throughout your life. But children's brains aren't just plastic; they're in active construction mode. Think of an adult brain like a well-established city with roads and infrastructure already built. A child's brain is more like a city being built from scratch. The roads they travel most frequently become the highways of their adult thinking. This is why the creative pathways your child develops now will determine their innovative capabilities for life. While AI can already outperform humans at data analysis, writing, and even coding, it cannot replicate the uniquely human ability to make unexpected connections, challenge assumptions, and imagine what doesn't yet exist.  The children who develop strong creative thinking skills today will be the ones who thrive in tomorrow's AI-dominated world—they'll be the innovators, entrepreneurs, and problem-solvers who can work with artificial intelligence without being replaced by it. These future-critical abilities depend on four specific creative thinking systems that are strengthened or weakened based on how children use them. When children become AI-dependent, these four systems are at risk: Cognitive Flexibility—your child's ability to switch between different thinking modes. This is what allows them to see a cardboard box as a spaceship, then a house, and then a robot costume. When children always ask AI, "What should I make?" instead of experimenting, this flexibility is weakened. Associative Thinking—connecting seemingly unrelated ideas. This is how kids come up with wild and wonderful ideas, like "What if cars could swim?" When AI provides ready-made connections, children stop making their own unique associations. Divergent Thinking—generating multiple solutions to open-ended problems. AI excels at convergent thinking—identifying the best answer. But human creativity thrives on divergent thinking—exploring all possible answers. Constraint Breaking—the ability to identify and overcome hidden assumptions limiting their thinking. This is what lets children question rules like "stories have to make sense" or "art has to look realistic." When AI always provides solutions within conventional parameters, children stop challenging the boundaries of what's possible. When these systems weaken, children develop what is called "Creative Bypass Syndrome." They learn to jump straight to AI whenever they encounter creative challenges. Their brains literally rewire to avoid the hard work of original thinking. But there's another crucial element that supports all four of these systems: frustration tolerance—your child's ability to persist through difficult problems without immediate relief. This is where the real creative magic happens. Those moments when your child sits with a problem, feels stuck, pushes through the discomfort, and discovers something unexpected. AI eliminates this essential struggle by providing instant solutions. Think about the last time you watched your child work through a challenging puzzle or try to build something that kept falling down. That frustration they felt? That's their brain building resilience and creative persistence. When children can immediately turn to AI for answers, they miss these crucial mental workouts. But here's the encouraging news: because children's brains are so adaptable, they can also recover faster than adults. The creative pathways that have weakened can be rebuilt. The confidence that's been lost can be restored. Now, before we talk solutions, you need to know where your child stands right now. The Creative Independence Assessment I've developed a simple test that you can do at home to evaluate your child's creative resilience. You can download the complete assessment tool from our website, but let me walk you through the key elements right now. Important setup instructions: Set aside 15 uninterrupted minutes for this assessment. Choose a time when your child is relaxed, not rushed or hungry. Find a quiet space—the kitchen table works perfectly. Have other siblings play elsewhere during the test. If your child resists or asks "why," simply say "I'm curious about something" and keep it light. The assessment is based on one fundamental principle: creative confidence shows up in how children respond to open-ended challenges with no right answer. For ages 5 to 8, try what I call the "Magic Box Challenge." Give your child an empty cardboard box—a shoe box works perfectly. Tell them: "This is a magic box that can become anything you want. Show me what you'd like it to be." Then step back and observe. Don't give suggestions. Don't offer help. Don't provide materials unless they specifically ask. Just watch how they respond. For ages 9 to 12, try the "Problem Inventor Challenge." Ask your child to invent a problem that needs solving, then solve it. Give them exactly ten minutes. No devices, no external input. Say: "Pretend you're an inventor. What problem would you want to solve, and how would you solve it?" For teenagers, ages 13 to 17, use the "Original Idea Test." Ask them to come up with an original, creative project idea in any medium—art, writing, music, video, anything. They need to explain why this idea interests them personally. Give them up to ten minutes and say: "If you could create anything right now—no limits on time or resources—what would you make and why?" Now, let me show you how to score what you observe. As you watch your child during their assessment, use this scoring guide to identify which traits they exhibit. You can circle or check off the behaviors you notice, then see which zone has the most matches. CREATIVE INDEPENDENCE ASSESSMENT SCORING GUIDE AGES 5-8: Magic Box Challenge

The most innovative creators don't use AI as a replacement – they use it as a strategic partner in a carefully choreographed dance of human and machine intelligence. Welcome to Part 4 of our series, Creative Thinking in the AI Age – on strengthening your uniquely human creativity while using AI as a partner, not a replacement. In Part 1, we explored the alarming decline in creative thinking as we've grown dependent on AI. In Part 2, we discovered how neuroplasticity allows us to rebuild and enhance our creative capabilities. And in Part 3, I gave you a practical 10-minute daily workout to strengthen the neural pathways essential for innovative thinking. Today, we're bringing it all together with something immediately actionable: a framework for creating productive partnerships with AI that enhance rather than diminish your creative capabilities. This isn't about rejecting AI – it's about using it strategically to amplify your uniquely human abilities. When used properly, AI can handle routine cognitive tasks while freeing your mind for the breakthrough thinking that algorithms simply cannot replicate. Let me start by clarifying the fundamental difference between human and machine intelligence that drives this partnership: Convergent thinking is the process of analyzing existing data to find optimal solutions within defined parameters. This is what AI excels at – processing vast amounts of information to identify patterns and generate options based on probability distributions of what has worked before. Divergent thinking is the ability to generate novel ideas by making unexpected connections, breaking conventional patterns, and imagining what doesn't yet exist. This is where humans uniquely excel – our capacity for intuitive leaps, metaphorical thinking, and insight that transcends existing data. The most powerful creative partnerships leverage both: AI's computational strength and the human capacity for originality. Let me demonstrate with a simple example. If I asked an AI to design a chair, it would analyze thousands of existing chair designs and generate variations based on established patterns. The results would be functional but predictable. But what if I first engaged in divergent thinking by questioning the very concept of sitting? What if I reimagined a chair as something that supports the body in motion rather than at rest? This human insight – this conceptual leap – changes everything about how we might approach the design. Now when I engage AI, I'm not asking it to "design a chair" but to help explore a completely new approach to supporting the human body. The AI becomes a tool for expanding and refining my original insight rather than a replacement for it. This is the heart of creative partnership: human divergent thinking provides the spark of originality, while AI convergent thinking helps develop and refine that spark into something practical. The Art Of Creative Prompting  Before we dive into our five-step framework, let's talk about what makes an effective AI prompt for creative work. The way you communicate with AI dramatically impacts the quality and originality of what you receive in return. Throughout this episode, I've included actual prompts formatted in code blocks that you can copy, edit, and paste directly into your favorite AI tool – whether that's ChatGPT, Claude, or others. These aren't theoretical; they're battle-tested approaches I've used with innovation teams. The most powerful creative prompts share three key characteristics: They express curiosity rather than certainty – Phrases like "I'm exploring," "I'm curious about," or "Help me understand" signal to the AI that you're in an exploratory mode rather than seeking definitive answers. This subtle shift encourages broader, more nuanced responses. They use specific framing devices – Notice how our example prompts use structures like "What aspects are overlooked?" or "What contradictions exist?" These frames direct the AI's analytical power toward particular angles of exploration. The formula prompts I've shared provide ready-to-use framing devices for different situations. They maintain creative tension – Effective prompts don't ask for immediate solutions but instead create a productive tension by examining contradictions, assumptions, or overlooked aspects. This tension generates the creative friction from which original insights emerge. When using the example prompts throughout this episode, customize them to your specific challenge, but maintain these structural elements that encourage exploration rather than premature convergence. The goal is to shape AI responses that serve as thought-provoking material for your own creative thinking, not as final answers. Here's a quick formula for effective prompts: "What aspects of [problem] are most overlooked?" "What contradictions exist in how people approach [challenge]?" "What assumptions might be limiting how we think about [issue]?" "What perspectives on [problem] have we never considered?" "What patterns in [issue] are repeating historically?" "What barriers prevent solving [challenge] with existing solutions?" Now, let's explore our five-step framework for forming creative partnerships with AI that enhance rather than diminish your creative capabilities. STEP 1: Prime Your Brain First  The most common mistake I see is turning to AI too early in the creative process. This typically happens because facing a blank page is uncomfortable – we're seeking the path of least resistance. But this short-circuits your brain's ability to make original connections. Instead, I recommend priming your brain before engaging any AI tools. Here's how: Begin with a 5-minute session from our creative workout (Episode 3). The Perspective Shifting or Random Word Fusion exercises are particularly effective for this purpose. After your brief workout, spend 10 minutes in open ideation on your challenge. Use a piece of paper – not a digital device – and rapidly jot down any ideas that come to mind without judging them. Look for unexpected combinations or patterns in your ideas. Circle anything that feels surprising or that challenges conventional thinking. This priming step activates your associative thinking networks – the neural pathways that connect seemingly unrelated concepts. When you later engage AI, you'll do so with your creative faculties already warmed up and ready to evaluate AI outputs critically. STEP 2: Frame Challenges, Not Solutions How you engage with AI fundamentally shapes what you get from it. The key is to position AI as a thought partner exploring a problem space rather than a solution generator. Instead of asking: "Generate ideas for a new water bottle design" Try: "What are the unsolved problems in how people stay hydrated throughout the day?" The first prompt tells AI to generate variations on a water bottle – convergent thinking within established parameters. The second prompt opens a problem space that invites exploration of the underlying challenge. Similarly, rather than asking AI to "write a marketing campaign," ask it to "identify emotional tensions between consumers and existing products in this category." This framing preserves your role in the most crucial part of creativity – defining the right problem. It positions AI as an explorer rather than a solver, helping you see facets of the challenge you might otherwise miss. Example Problem-Framing Prompts: Example 1: I'm exploring ways to improve remote team collaboration. Instead of suggesting specific solutions, help me understand: What are the most overlooked aspects of remote communication that create friction or miscommunication? What contradictions exist in how people want to collaborate versus how current tools function? What assumptions about "presence" might be limiting how we approach remote work? Example 2: I'm working on innovations in urban transportation. Rather than proposing specific vehicle or infrastructure designs, help me explore: What tensions exist between different stakeholders in urban mobility (pedestrians, cyclists, drivers, businesses, etc.)? What contradictory needs do people have when moving through cities? What invisible barriers prevent more sustainable transportation choices? STEP 3: Use AI for Divergence Acceleration  While AI excels at convergent thinking, we can strategically use it to accelerate certain aspects of divergent thinking as well. The key is to use AI to generate raw material that you then transform through your human creativity. Here's the technique: After your initial ideation, identify 2-3 promising directions that feel original. For each direction, use AI to generate adjacent possibilities: "What related ideas exist in [completely different field]?" Use these outputs not as solutions but as stimuli for your own associative thinking. The goal is to use AI outputs as creative springboards. For example, if you're designing a new learning app, you might ask AI: "How do master chefs structure the process of teaching complex skills?" or "What principles do video game designers use to maintain engagement during difficult challenges?" The AI responses become raw material for your own divergent thinking process. You aren't adopting the AI's suggestions directly – you're using them to trigger new neural connections in your own thinking. This approach leverages AI's knowledge breadth while preserving your uniquely human ability to make unexpected connections across domains. Example Divergence Acceleration Prompts: Example 1: I'm developing a new approach to personal financial education that focuses on behavioral change rather than just information delivery. To spark fresh thinking, explain how these completely different domains approach behavior change: How do elite athletic coaches create lasting habit changes in their athletes? How do environmental conservation programs successfully change community behaviors? How do immersive theater experiences create memorable emotional impacts?   For each area, identify 3-5 key principles and specific techniques that could be translated to financial education.   Example 2: I'm reimagining the patient experience in healthcare waiting rooms. To stimulate creative connections, describe how these unrelated fields create positive waiting/transition experiences: Theme park queue design Airport VIP lounges Mindfulness retreat check-in processes Fine dining restaurant pacing and atmosphere   For each, identify what specific elements create psychological comfort, reduce perceived waiting time, or transform waiting into a valuable experience. STEP 4: Delegate Convergence Once you've generated truly original directions through divergent thinking, AI becomes extraordinarily valuable for convergent activities – developing, refining, and optimizing your creative insights. This is where many people go wrong – they either overuse AI (surrendering the creative process entirely) or underuse it (ignoring its analytical strengths). Here are specific convergent tasks ideally suited for AI delegation: Detail expansion – Once you have a core concept, ask AI to help flesh out the details, specifications, or implementation steps. Pattern recognition – Have AI identify similarities between your idea and existing approaches to uncover potential refinements. Gap analysis – Ask AI to identify potential weaknesses or unanswered questions in your concept. Variation generation – Once you have an original direction, AI can help you explore variations within that direction. The key principle: Use AI for expansion and refinement of ideas that originated from your divergent thinking, not as the source of the original insight itself. For example, if you've conceptualized a novel approach to remote team collaboration, you might ask AI to: Identify potential implementation challenges Suggest how the concept might be adapted for different industries Compare your approach to existing solutions to identify differentiation opportunities This leverages AI's analytical power while preserving your role in the creative breakthrough. Example Convergence Delegation Prompts: Example 1: I've developed a concept for a community-based renewable energy sharing platform where households can trade excess solar power directly with neighbors using blockchain verification. Please help me refine this concept by:   Identifying potential technical, regulatory, and user adoption challenges Suggesting the minimum viable features needed for an initial pilot Outlining how this approach differs from existing energy-sharing models Recommending how the concept might need to adapt for different housing environments (urban apartments vs. suburban homes vs. rural communities)   Example 2: I've created a new approach to professional development called "Skill Swapping Circles" where cross-functional teams teach each other through structured 30-minute micro-workshops. Please help me develop this concept by:   Creating a detailed implementation framework with clear steps Identifying potential resistance points and how to address them Suggesting metrics to measure effectiveness Recommending variations for different organizational contexts (startups vs. large enterprises) Outlining technology requirements to support the program STEP 5: Maintain Creative Authority  The final step is perhaps the most important: consciously maintaining your creative authority throughout the process. AI tools are designed to be persuasive – they present information confidently and comprehensively. This creates what psychologists call the "authority bias" – our tendency to accept information from perceived authorities without sufficient scrutiny. To maintain creative authority: Question AI outputs – Actively look for assumptions or limitations in what the AI generates. Inject constraints – Deliberately introduce constraints that force original thinking: "How would this work without internet connectivity?" or "How would this change if it needed to be completely sustainable?" Transform, don't transfer – Always transform AI outputs through your unique perspective rather than directly transferring them into your work. Take incubation breaks – After receiving AI outputs, step away to allow your subconscious mind to process. Research shows that creative insights often emerge during periods of mental rest after information intake. Remember, the goal isn't to reject AI's contributions but to engage with them critically and creatively. Your unique human perspective – your lived experience, intuition, and values – should always remain the guiding force. Example Creative Authority Prompts: Example 1: I've been exploring a concept for [your idea]. You've provided some interesting perspectives, but I want to challenge both of us to think differently. Please:   Identify three assumptions embedded in the approach we've been discussing Suggest how the concept would need to change if it had to work without [key resource or technology] Describe how this idea might be received by someone from a completely different cultural background than my own Identify ethical considerations I may not have considered   Example 2: You've given me several suggestions for [topic]. Now I'd like you to help me critically evaluate them by:   For each idea, identify the historical precedent or existing model it most closely resembles Point out which suggestions fall into conventional thinking patterns Identify any suggestions that might unintentionally reinforce problematic systems or assumptions Challenge me with three questions that might completely reframe how I'm approaching this challenge Real-World Application  Let me share how this framework transformed the product development process at a consumer electronics company I worked with recently. Their team had been using AI tools extensively, but primarily as idea generators – essentially asking the AI to design new products directly. The results were predictably mediocre – variations on existing products with marginal improvements. We implemented the five-step framework, beginning with creative priming exercises before any AI engagement. Then, instead of asking the AI to generate product concepts, we asked it to explore unresolved tensions in how people interact with technology in their homes. This exploration revealed something fascinating – people were increasingly concerned about technology fragmenting family attention rather than enhancing connection. This human-centered insight came not from the AI directly, but from the team's analysis of the problem space with AI assistance. This led to a breakthrough concept: a family gaming system designed specifically for collaborative rather than competitive or individual play, with features that actively encouraged rich social interaction rather than isolated immersion. Once this novel direction was established through human divergent thinking, the team then used AI extensively for convergent tasks – researching existing collaborative technologies, identifying potential technical challenges, and developing implementation variations. The result was a genuinely innovative product that addressed deeply human needs in ways that AI alone could never have conceptualized. The product has since become one of their most successful launches, precisely because it originated from human insight about social connection rather than algorithmic prediction. Download Your Guide for Turning AI Into a Creativity Multiplier We've now completed our five-step framework for creative partnerships with AI: prime your brain first, frame challenges not solutions, use AI for divergence acceleration, delegate convergence, and maintain creative authority. Each step is designed to leverage both human and machine intelligence in their respective domains of strength – your divergent thinking and AI's convergent capabilities. This approach represents a middle path between two extremes. On one side is complete AI dependency – surrendering our creative faculties to algorithms and experiencing the cognitive atrophy we discussed in earlier episodes. On the other side is AI rejection – ignoring powerful tools that could genuinely enhance our creative capabilities when used properly. The creative partnership I've outlined offers something better: a complementary relationship that amplifies your uniquely human creativity while leveraging AI's computational power. Remember the key principles we've explored throughout this series: Your creative thinking abilities physically exist as neural networks in your brain These networks strengthen or weaken based on how you use them Deliberate practice rebuilds these networks even if they've weakened through AI dependency The most innovative thinking emerges from partnerships that preserve human divergent thinking while leveraging AI convergent capabilities As we move deeper into the AI age, the ability to form these productive partnerships will increasingly distinguish those who merely execute from those who truly innovate. By understanding the complementary relationship between human and machine intelligence, you can develop creativity that no algorithm can replicate. Join me next time for "Measuring Creative Growth: Tracking Your Progress and Amplifying Results." We'll explore how to assess your creative development and build systems that continuously enhance your innovative thinking. Until then, I'm Phil McKinney, and remember – in an age of artificial intelligence, the most valuable thinking happens at the intersection of human insight and computational power. That intersection exists in only one place: your creatively engaged mind. Your support means everything to this channel. And if you're passionate about creativity and innovation, consider becoming a patron on Patreon or a paid subscriber on Substack. Your support helps make this content possible. To learn more about harnessing AI, listen to this week's show: Human-AI Creative Partnership: How to Harness AI While Preserving Your Innovative Edge. [irp posts="4392" name="Subscribe to Podcast"]

Humans who committed to four thinking exercises for 10 minutes daily generated 43% more original solutions than the most advanced AI systems. Welcome to Part 3 of our series, Creative Thinking in the AI Age – on strengthening your uniquely human creativity while using AI as a partner, not a replacement. In Part 1, we explored the concerning 30% decline in creative thinking as our use of AI tools has increased. In Part 2, we discovered how neuroplasticity – your brain's lifelong ability to reorganize itself – offers us a pathway to not just recover but enhance our creative abilities. Today, I'm giving you something concrete and practical: a complete 10-minute creative thinking workout based on cutting-edge neuroplasticity research. This isn't just theory – it's a systematic approach to rebuilding the neural pathways essential for innovative thinking. What makes today's episode especially valuable is that these exercises directly target the four core domains of creative thinking we identified last time: Cognitive Flexibility – your ability to switch between different thinking modes and consider multiple perspectives Associative Thinking – your ability to connect seemingly unrelated concepts Divergent Thinking – your ability to generate multiple solutions to open-ended problems Constraint Breaking – your ability to identify and overcome hidden assumptions These aren't just abstract concepts – they're distinct neural networks in your brain that physically strengthen or weaken based on how you use them. Neuroscience has clearly mapped these networks using fMRI studies. When we frequently outsource creative challenges to AI, these networks get less exercise and gradually atrophy. This atrophy directly affects not just our individual capabilities but our collective ability to solve complex problems as a society. Think of these four domains as the core muscle groups of creative thinking. Just as a neglected muscle weakens over time, these neural networks diminish when underutilized. And just as physical weakness limits our bodily capabilities, creative atrophy limits our problem-solving potential, career advancement, and ability to address society's most pressing challenges. The research I shared last time showed that consistent practice leads to measurable changes: Within days: Increased neural activity in creative regions After two weeks: Noticeable improvements in creative output By six weeks: Formation of new white matter pathways At eight weeks: Stable neural changes that maintain creative thinking abilities even amid regular AI use. This gives us a clear roadmap for strengthening our creative capacities: commit to eight weeks of practice, with meaningful milestones along the way. Before we dive in, I want to emphasize something important: consistency matters more than duration. Research shows that 10 minutes daily produces significantly better results than 70 minutes once a week. This aligns with what neuroscientists call "spaced practice" – shorter, regular sessions that allow your brain to consolidate learning between sessions. Also, approach these exercises with playfulness rather than pressure. Neuroplasticity research shows that stress inhibits the very neural changes we're trying to promote, while curiosity and enjoyment accelerate them. Ready to begin? Let's start with our first exercise. EXERCISE 1: PERSPECTIVE SHIFTING Our first exercise targets Cognitive Flexibility – your ability to switch between different thinking modes and see situations from multiple perspectives. This exercise activates your prefrontal cortex – the brain region responsible for cognitive flexibility. This region weakens with routine AI assistance, as algorithms typically present optimized single perspectives rather than multiple viewpoints. Here's how the exercise works: Choose any object in your environment. It could be a coffee mug, a book, or even your smartphone. For 2 minutes, rapidly adopt different perspectives on this object. Consider it from: The perspective of different professions (How would an engineer, artist, child, or historian view this object?) Different time periods (How would someone 100 years ago view it? Someone 100 years in the future?) Different scales (How would it appear to an ant? To a giant?) Different emotional states (How might someone feeling joyful, anxious, or curious perceive it?) The key is to shift rapidly between perspectives rather than dwelling on any single viewpoint. Each shift creates new neural firing patterns that strengthen cognitive flexibility. Let me show you some examples with this coffee mug: As an engineer, I notice the thermal properties, the handle design for ergonomics As an archaeologist from the future, this might be an artifact revealing daily rituals of 21st century humans To an ant, this would be a vast curved wall, perhaps offering shelter To someone feeling anxious, this might represent a moment of comforting routine in an uncertain day Now it's your turn. Find an object near you, pause the video, and spend 2 minutes shifting through different perspectives. When you're done, take a deep breath. You've just activated neural pathways associated with cognitive flexibility. What you'll notice with consistent practice is that this ability to shift perspectives begins extending to all areas of your thinking – helping you see multiple angles in business challenges, personal relationships, and creative projects. EXERCISE 2: RANDOM WORD FUSION Our second exercise targets Associative Thinking – your ability to connect seemingly unrelated concepts to form novel ideas. This practice activates your brain's default mode network. This network gets less exercise when we regularly use AI for creative solutions, but rebuilds with exercises that create unexpected connections. Here's the exercise: You'll need three random words. You can: Open a book to three random pages and point to a word on each Use a random word generator online Ask someone to give you three unrelated words For 2 minutes, create a coherent concept that combines all three words. This concept could be: A new product or service The plot for a story A solution to a problem you're facing Let me demonstrate with my three random words: "mountain," "keyboard," and "breakfast." I might create a concept for: "Summit Typing Café" – a mountain-top co-working space that offers spectacular views and serves breakfast all day. Digital nomads can work at ergonomic keyboard stations while enjoying high-altitude inspiration and nourishing food. Or perhaps: A new productivity app called "Peak Breakfast" that uses keyboard shortcuts to help you plan your most important tasks during your morning meal – the idea being that like reaching a mountain summit, completing your most challenging task first thing gives you perspective for the rest of your day. Now try it yourself. Generate three random words, pause the video, and spend 2 minutes creating a concept that combines them. The magic of this exercise is that it forces your brain to create connections where none previously existed. Each time you practice, you're physically strengthening the neural pathways involved in associative thinking. With regular practice, you'll notice your ability to connect disparate ideas improving in all areas of your life – leading to more original solutions and creative insights. EXERCISE 3: ALTERNATIVE USES Our third exercise targets Divergent Thinking – your ability to generate multiple solutions to an open-ended problem. This exercise stimulates your frontal and temporal lobes. These brain regions show increased connectivity after divergent thinking practice but get less activation when we habitually ask AI to generate ideas. Here's how it works: Choose an everyday object. Classic examples include a brick, paperclip, or rubber band, but any common object will work. For 2 minutes, list as many possible uses for this object as you can – aiming for quantity over quality. The goal is to push past obvious uses to increasingly creative ones. Challenge yourself to reach at least 10 uses, but don't stop there if ideas keep flowing. Let me demonstrate with a simple rubber band: Hold papers together Launch small objects Create resistance for finger exercises Mark pages in a book Seal a bag Make a tiny basketball hoop with your fingers Create a musical instrument by stretching it over a box Use as a hair tie Make a grip for slippery objects Create a boundary marker on a desk Use as a reminder by wearing it on your wrist Make emergency suspenders Now it's your turn. Choose an object, pause the video, and list as many uses as you can in 2 minutes. The first few uses typically come from memory – things you've seen before. As you push beyond those obvious answers, different neural pathways activate. Research shows that the most creative ideas emerge after the obvious ones are exhausted. By generating many options, you train your brain to access deeper, more original ideas more readily. With consistent practice, you'll notice yourself spontaneously generating more options in everyday situations – whether designing products, solving problems, or making decisions. EXERCISE 4: ASSUMPTION REVERSAL Our final exercise targets Constraint Breaking – your ability to identify and overcome hidden assumptions limiting your thinking. This exercise activates your anterior cingulate cortex - the brain region that detects cognitive conflicts. This area receives less stimulation when we frequently use AI systems that operate within established parameters rather than questioning basic assumptions. Here's the exercise: Choose any common product, service, or process. It could be a smartphone, a restaurant experience, or your morning routine. For 2 minutes, list all the assumptions or "rules" that typically apply to this thing. These are the constraints that everyone takes for granted. For each assumption, ask: "What if the opposite were true?" or "How could we eliminate this requirement completely?" Let me demonstrate with a common product: a refrigerator. Assumptions about refrigerators: They must be kept in the kitchen They need electricity to function They should be cold inside They must be box-shaped They should store primarily food items They must maintain a constant temperature Now, let's reverse these: What if refrigerators were distributed throughout the house? What if they required no electricity? (Perhaps using geothermal cooling or new materials) What if they were hot inside? (Preserving food through different methods) What if they weren't box-shaped? (Perhaps conforming to room architecture) What if they stored other things besides food? (Specialized cooling for medications, electronics, etc.) What if they had variable temperature zones that fluctuated intentionally? Your turn now. Choose a product or service, pause the video, and spend 2 minutes listing and challenging its assumptions. This exercise reveals invisible constraints we place on our thinking without realizing it. Each practice session strengthens your ability to identify and question assumptions - essential for breakthrough innovation. With consistent practice, you'll begin questioning assumptions automatically in various contexts, finding original approaches others miss. PUTTING IT ALL TOGETHER AND PRACTICAL APPLICATIONS  Now that we've explored each exercise individually, let's discuss how to incorporate them into your routine and apply them to specific situations. Think of these four creative thinking domains like the major muscle groups in your body. Just as physical fitness requires working all muscle groups – not just your favorites – cognitive fitness demands exercising all four creative domains. Without this balance, your creative abilities will develop unevenly. We've all seen the bodybuilder with massive upper body development but skinny legs – what trainers call "chicken leg syndrome." The same imbalance happens in creative thinking when we only exercise our preferred domains. You might excel at divergent thinking (generating many options) but struggle with constraint breaking (questioning assumptions). The most effective approach for building complete creative fitness is to practice all four exercises in sequence, allocating 2 minutes to each, with a brief transition between them. This provides balanced "cross-training" across all four creative thinking neural networks. I recommend starting your day with this workout, ideally before checking email or social media. Research from the University of California shows that creative thinking is significantly higher in the morning, before our brains become loaded with external inputs. However, these exercises are also incredibly versatile for specific situations. Consider bookmarking this video to quickly access the exact exercise you need for different challenges: Before brainstorming sessions: Use Exercise 3 (Alternative Uses) to prime your brain for divergent thinking When facing a stubborn problem: Try Exercise 4 (Assumption Reversal) to break through invisible barriers Before important negotiations: Exercise 1 (Perspective Shifting) helps you anticipate different viewpoints When innovation feels stale: Exercise 2 (Random Word Fusion) creates fresh connections Each exercise serves as a targeted tool you can deploy in specific professional and personal contexts. The timestamps in the video description make it easy to jump directly to the exercise you need in the moment. Just as with physical training, these exercises might feel challenging at first – that's normal and actually a good sign. The neural equivalent of "muscle soreness" means you're creating productive disruption that leads to growth. And just as physical training requires progressive challenge to avoid plateaus, you should gradually increase the difficulty of these exercises by setting more ambitious targets or tighter time constraints. Also like physical training, consistency trumps intensity. A daily 10-minute workout will produce far better results than an occasional hour-long session. Neuroscientists call this "spaced practice" – shorter, frequent sessions that allow your brain to consolidate learning between workouts. To track your progress, I suggest keeping a simple creativity journal. After each workout, spend 30 seconds noting: Which exercise felt most challenging Any interesting ideas that emerged How your thinking evolved during the workout Over time, you'll notice patterns – exercises that initially felt difficult become easier, and your idea generation becomes more fluid and original. Let me share how one innovation team I worked with integrated these exercises into their process. This team was developing new healthcare technologies and had hit a creative plateau. They began each day with this 10-minute workout, then immediately applied the activated thinking patterns to their current challenges. Within three weeks, they reported two significant breakthroughs: First, the Perspective Shifting exercise helped them reimagine their user interface from the viewpoint of different stakeholders – leading to a design that accommodated both clinical and patient needs in ways their competitors had missed. Second, the Assumption Reversal exercise helped them question fundamental assumptions about data security – leading to a novel approach that provided better protection while actually improving system performance. The team leader described it as "mental cross-training" that enhanced their collective intelligence beyond what AI tools alone could have contributed. You can apply this same process to your challenges: Complete the appropriate exercise for your specific situation Immediately afterward, spend 5 minutes applying the activated thinking patterns to your problem Document any insights or novel approaches that emerge Over time, you'll develop what neuroscientists call "trained intuition" – generating creative insights without consciously applying techniques. CONCLUSION We've now completed our creative brain workout – four exercises that systematically strengthen the neural networks essential for innovative thinking. As we discussed in our previous episodes, the increasing integration of AI tools into our daily work has led to measurable changes in how we approach creative challenges. But the science of neuroplasticity offers us a powerful counterbalance – the ability to deliberately strengthen our innovative thinking capabilities throughout our lives. This research applies to everyone, regardless of age or background. Whether you're a student, professional, entrepreneur, or retiree, these exercises enhance creative capabilities through physical changes in your brain structure. Remember the key milestones we discussed: Within days: Increased neural activity After two weeks: Noticeable improvements By six weeks: Formation of new neural pathways At eight weeks: Stable changes that persist even with regular AI use The choice ultimately comes down to being intentional about how we use technology. You can automate creative processes entirely with AI and potentially experience the gradual atrophy of these essential cognitive abilities. Or you can strategically partner with AI while deliberately strengthening your uniquely human capabilities that drive breakthrough innovation. My hope is that you'll choose the latter path – not just for your individual benefit, but for our collective future. The challenges we face as a society – from climate change to healthcare access to sustainable energy – require precisely the kind of boundary-breaking, assumption-challenging thinking these exercises develop. Join me next time for "The AI Creativity Multiplier: 5 Steps to Amplify Your Innovative Thinking."  Ever wondered how top innovators use AI to amplify their creativity rather than replace it? I'll reveal the surprising "creative handoff points" where AI transforms from a creativity killer to creative rocket fuel. You'll discover how to craft AI prompts that break through creative barriers instead of building new ones, turning your favorite AI tools into innovation accelerators unlike anything you've experienced. If this episode gave you the exercises to strengthen your creative thinking muscles, the next one will show you how to apply that strength in partnership with AI – creating results neither could achieve alone. Until then, I'm Phil McKinney, and remember – in an age of artificial intelligence, your creative brain remains your most valuable asset. Take 10 minutes to strengthen it today. Your support means everything to this channel. And if you're passionate about creativity and innovation, consider becoming a patron on Patreon [LINK] or a subscriber on Substack [LINK]. Your support helps make this content possible.

Harvard neuroscientists confirm: creative thinking uses neural pathways that AI can't replicate – and never will. Hello, I'm Phil McKinney, and welcome to my innovation studio. Welcome to Part 2 of our series, Creative Thinking in the AI Age – on strengthening your uniquely human creativity while using AI as a partner, not a replacement. […]

Harvard neuroscientists confirm: creative thinking uses neural pathways that AI can't replicate – and never will. Hello, I'm Phil McKinney, and welcome to my innovation studio. Welcome to Part 2 of our series, Creative Thinking in the AI Age – on strengthening your uniquely human creativity while using AI as a partner, not a replacement. In Part 1, we explored the alarming decline in creative thinking as we've grown dependent on AI. We saw how our ability to solve complex problems without algorithmic assistance has dropped by 30% in just five years, and how this cognitive atrophy affects everyone from students to seasoned professionals. Today, we're moving from problem to solution – exploring the revolutionary science of neuroplasticity and how we can deliberately rebuild and enhance our creative thinking skills. What's at stake here goes far beyond individual convenience. If we continue to surrender our creative thinking abilities to AI, we risk a future where innovation slows, where original ideas become increasingly rare, and where our unique human capacity for breakthrough thinking gradually fades. More critically, we may lose the very cognitive tools required to solve society's most pressing challenges – disease, pandemic response, clean energy development, food security – precisely when we need these abilities most. We're already seeing early evidence of this decline, but the science I'll share today offers a powerful alternative – a path to not just preserve but dramatically enhance the creative abilities that drive human progress. I've seen this firsthand in my work leading innovation teams. Years ago, I noticed that even brilliant engineers and designers would hit creative walls. When I introduced specific neuroplasticity-based thinking exercises into our daily routines, the transformation was remarkable. Teams that had been spinning their wheels suddenly generated breakthrough concepts. Projects that seemed stuck found fresh momentum. And the most exciting part? The improvements continued long after the initial training. These transformations aren't magic – they're biology in action. Your brain is changing right now as you watch this video. Every thought you have, every skill you practice, and every challenge you undertake physically reshapes your neural architecture. This isn't metaphorical – it's literal, structural change happening at the cellular level. This phenomenon – called neuroplasticity – is the brain's ability to reorganize itself by forming new neural connections. And our key to reclaiming and enhancing our creative thinking abilities in the age of AI. For decades, scientists believed that brain development stopped after childhood. We now know that's completely false. Your brain remains malleable throughout your entire life, capable of dramatic transformation well into your 80s and beyond. Research has shown that our brains continually remodel themselves based on our experiences and practices. Think of it like a path in a forest – the routes you travel most frequently become wider and clearer, while those rarely used gradually disappear. Now, I understand some skepticism here. We've all seen dubious claims about "brain training" games and apps that promise to boost intelligence. Most of these have been rightfully criticized for overpromising and underdelivering. The difference with creative neuroplasticity training is that it's not about playing generic puzzles – it's about targeted exercises that specifically engage the neural networks involved in creative thinking. And unlike those commercial products, these approaches have substantial peer-reviewed research supporting their effectiveness. The implications are profound. If our cognitive abilities are declining due to AI dependency, as we discussed in the last episode, we can deliberately reverse this trend through targeted exercises and practice. Let's be honest – breaking AI dependency isn't easy. Many of us have developed reflexive habits of turning to algorithms before engaging our own thinking. Our brains naturally seek the path of least resistance. But the research is clear: the effort to rebuild these creative pathways is absolutely worth it. And the good news is that even small, consistent practice can yield significant results. The science behind this is compelling. A landmark study at Harvard Medical School used functional MRI to track brain activity before and after an 8-week creative thinking training program. The results were striking. Before training, participants showed activity primarily in conventional problem-solving regions when tackling creative challenges. After training, their brains revealed significantly increased activity in regions associated with novel idea generation and reduced activity in regions associated with conventional thinking. What's even more fascinating is that the neural training correlated with a 43% increase in measured creative output. The participants weren't just thinking differently – they were producing significantly more original ideas. This is neuroplasticity in action – physical changes in your brain leading to measurable improvements in creative capacity. But neuroplasticity works both ways. When we outsource our thinking to AI, the neural pathways associated with creative problem-solving literally weaken from disuse. It's a biological principle called "competitive plasticity" – the brain reallocates resources away from underused functions toward frequently used ones. The good news is that this process is reversible. Even if you've grown dependent on AI for creative tasks, your brain can rebuild these pathways through deliberate practice. Let me share a personal experience from my own work. I once coached a senior product designer and their team at a major tech company who were tasked with developing disruptive ideas in an area where three major competitors were already investing heavily. When we started working together, they were stuck, repeatedly generating variations of the same concepts and feeling increasingly frustrated. Brain science would suggest their neural pathways had become rigid through years of conventional problem-solving. So we implemented a series of targeted creative thinking exercises. Within eight weeks, something remarkable happened. Not only did their idea generation rate triple, but the quality of their concepts ‌shifted. They developed a breakthrough approach that combined elements no one had previously connected, essentially creating an entirely new product category. When we brought in AI tools to analyze the solution space, the team's most innovative concepts fell completely outside the AI's prediction patterns. What does this mean? The neural connections they had formed with their training weren't following the statistical patterns the AI model had learned. The product they launched went on to capture significant market share precisely because it operated from a different conceptual framework than competitors. This wasn't just a professional transformation. It had a personal impact. This senior product designer reported feeling a renewed sense of cognitive confidence that extended into other areas of their life as well. These transformations aren't random. The science of neuroplasticity has identified four core domains of creative thinking that respond most dramatically to training: Cognitive Flexibility – your ability to switch between different thinking modes and consider multiple perspectives simultaneously. For example, seeing a coffee cup not just as a vessel for liquid but also as a plant holder, a pencil container, or a sound amplifier. This domain is largely governed by the prefrontal cortex, which neuroimaging studies show becomes significantly more active after flexibility training. Associative Thinking – your ability to connect seemingly unrelated concepts to form novel ideas. Like combining the principles of bird migration with urban traffic patterns to create a new adaptive traffic light system. This involves the default mode network, which strengthens with exercises that encourage unexpected connections. Divergent Thinking – your ability to generate multiple solutions to an open-ended problem. For instance, coming up with twenty different uses for a brick beyond construction, such as a doorstop, paperweight, art canvas, or heat reservoir. This engages the frontal and temporal lobes, which show increased connectivity after divergent thinking practice. Constraint Breaking – your ability to identify and overcome hidden assumptions limiting your thinking. Such as recognizing that when asked to "connect nine dots with four straight lines," the assumption that you can't go outside the imaginary square is self-imposed. This correlates with increased activity in the anterior cingulate cortex, which helps detect cognitive conflicts. Each of these domains weakens with AI dependency but rebuilds with targeted practice. What excites me most is that there are practical exercises anyone can use. In my innovation workshops, we've adapted these into simple daily practices that build creative muscle memory: Five-minute morning sessions of rapid association between unrelated concepts Brief midday "constraint-breaking" challenges where teams identify and discard hidden assumptions End-of-day reflection exercises that alternate between focused and diffuse thinking modes These aren't complex or time-consuming – they're deliberate mental practices that target the exact neural networks we need to strengthen. And remarkably, participants report greater idea fluency within just days of consistent practice. Let me demonstrate one of these domains with a quick exercise that you can do right now. We'll focus on cognitive flexibility. I want you to visualize a circle. Just a simple circle. Now, in your mind, transform this circle into something else by adding just one line. Now add one more line and transform it again. One more time – add another line and see what new object emerges. I will give you 30 seconds. Imagine a simple circle and transform it three times, adding a line each time. I will wait. Go! How did you do? This exercise activates your prefrontal cortex – the brain region responsible for cognitive flexibility. Most people initially create predictable objects: a face, a sun, or a balloon. But as you practice, your brain begins forming less common connections. Advanced practitioners might see a clock becoming a bomb becoming a planet becoming an eye. Brain scans reveal increased neural firing in creative regions even during this simple 30-second exercise. You're literally strengthening synaptic connections that enhance your creative thinking. The timeline of these changes follows a clear and consistent pattern: Within days of consistent practice, creative neural pathways strengthen, showing up as increased activity in brain scans After two weeks, you'll notice measurable improvements in your creative output By six weeks, researchers have documented the formation of new white matter pathways – the brain's information highways, meaning participants' brains were physically different. At eight weeks, these changes become stable enough to resist the pull back toward AI dependency. This gives us a clear roadmap for reclaiming our creative capacities: commit to eight weeks of practice, with meaningful milestones along the way. This transformation is remarkably accessible. Just 10 minutes of daily practice can trigger these changes. In our next episode, I'll guide you through a complete workout, but here's a preview of the two core approaches we'll use: Mindful Creativity – approaching familiar tasks with deliberate curiosity. For example, during your morning routine, challenge yourself to notice five new details about objects you use every day. This simple practice activates the cognitive flexibility networks we discussed earlier. Alternating – deliberately switching between focused thinking and relaxed daydreaming. This might look like setting a timer for 3 minutes of intense problem-solving followed by 2 minutes of completely unfocused mind-wandering. This oscillation strengthens the associative thinking pathways that AI dependency weakens. These aren't just theoretical concepts – they're the foundation of the 10-minute daily workout I'll guide you through in our next episode. Each exercise targets explicitly the neural networks involved in the four creative thinking domains we've explored today. What makes these practices so powerful is the underlying principle we've discussed throughout: our brains physically change based on how we use them. This biological fact puts the choice squarely in our hands. Either we surrender our cognitive processes to algorithms, or we deliberately strengthen these uniquely human abilities. The stakes are higher than we might realize. If we do nothing, then we face a future of diminished creativity, which means technological progress that plateaus, businesses that can only optimize rather than reimagine, and education that produces technically proficient but intellectually passive graduates. This is precisely what Bonhoeffer warned about in writing on "stupidity" – not as a lack of intelligence, but as the voluntary surrender of independent thinking. As we discussed in the first episode, Bonhoeffer observed that people become 'stupid' not because they lack capacity, but because they willingly abandon critical and creative thought to "others". This surrender happens gradually, unnoticed, as we choose comfort over challenge. With AI, we face exactly this choice. Will we surrender our creative faculties to algorithms, essentially choosing a form of 'creative stupidity'? Will we create a society where independent thinking grows rare, not because it's forbidden, but because it's surrendered? Will we accept a world where ideas are judged by their conformity to algorithmic patterns rather than their originality? But that's not the future we have to choose. Join me in the next video in the series for "The Creative Brain Workout," where I will guide you through 10 minutes of exercises that trigger the neural changes that will help you build stronger, uniquely human creative thinking skills that AI simply cannot replicate. Until then, I'm Phil McKinney, and remember – in an age of artificial intelligence, your mind remains remarkably adaptable. The power to reshape your creative thinking is literally in your hands. If you found value in today's video, please hit that like button and subscribe so you don't miss the next episode in this series. Your support means everything to this channel. And if you're passionate about creativity and innovation, consider becoming a patron on Patreon or a paid subscriber on Substack – links are in the description below. Your support helps make this content possible. Thanks for watching, and I'll see you in the next episode.

Our ability to solve complex problems without AI has plummeted 30% in just five years. That's not just a statistic – it's the sound of your brain cells surrendering. We are announcing a new series we are calling –  Creative Thinking in the AI Age – on strengthening your uniquely human creativity while using AI as a partner, not a replacement. Today, we will explore how AI dependency is creating a pandemic of reduced creative thinking and why this matters more than you might realize. Look around. We've all seen it – colleagues endlessly prompting AI for answers, friends asking their devices the same questions with slight variations, and kids who reach for ChatGPT before trying to solve a problem themselves. It's happening everywhere. We're witnessing a slow, subtle decline in our collective ability to think deeply, creatively, and independently. This cognitive shift is measurable. Recent research from the University of Toronto found that college students today show a 42% decrease in divergent thinking scores – our ability to generate multiple solutions to problems – compared to students just five years ago. The difference? The widespread adoption of AI tools. This isn't just happening in schools. Creative professionals show similar patterns. Marketing agencies report that junior staff increasingly struggle to generate original campaign concepts without AI prompting. Engineering teams face growing difficulties when asked to ideate without computational assistance. But this isn't a rant against technology. AI is here to stay, and it offers tremendous benefits. The real issue is how our relationship with these tools is reshaping our cognitive capabilities. Remember when calculators became widespread? Many feared we'd lose our ability to do basic math. They weren't entirely wrong, but we adapted. The difference now is that AI doesn't just handle calculations – it's beginning to think for us. This surrender of our thinking faculties brings us to an uncomfortable but powerful concept from theologian Dietrich Bonhoeffer. Writing from a Nazi prison in 1943, he described a phenomenon he called "stupidity" – not as a lack of intelligence, but as a social contagion where independent thinking is surrendered to external forces. Bonhoeffer wasn't talking about AI, obviously. But his insight that humans will easily surrender their thinking faculties to external authorities is profoundly relevant today. We're increasingly outsourcing our cognitive heavy lifting to algorithms, and our brains are adapting accordingly. Let me show you what I mean with a quick demonstration. Take 30 seconds right now to list five uncommon uses for a paperclip. No use of AI. I'll wait. How'd you do? If you struggled, you're not alone. In tests conducted before widespread AI adoption, the average person could generate 8-12 unique ideas. Today, that number has dropped to 3-5. This decline in creative thinking ability is not only disappointing – it has neurological implications. When we regularly outsource thinking, the neural pathways associated with creative problem-solving literally weaken. It's cognitive atrophy – it's like any other muscle, use it or lose it. And with AI, you aren't using it. The consequences are more serious than you might think. Here's what's happening: AI is great at finding the optimal solution within defined boundaries using "convergent thinking." Give AI the parameters of a problem, and it'll efficiently identify the best answers within a set of constraints. But what humans uniquely excel at is "divergent thinking" – our ability to break through boundaries, reimagine the entire problem, and make unexpected connections between seemingly unrelated ideas. This is where breakthroughs happen. Recent research from the University of Bergen shows that while AI can generate more ideas than the average person, the most creative human solutions significantly outperform AI in originality and innovation. Here's the paradox: the more we rely on AI, the more we get trapped in what psychologists call "AI-reinforced conventional thinking." Let me demonstrate. In a creative thinking workshop I ran not long ago, I asked participants to design a new coffee cup. Most drew variants of the same cylindrical container with a handle. When asked why, they couldn't explain – they'd simply imposed an invisible constraint. But when one participant suggested a coffee cup that could be worn as a ring, the floodgates opened. Suddenly, people were designing coffee cups that doubled as plant holders, that changed color with temperature, and that folded flat for storage. This mental breakthrough reveals what neuroscientists call the "first insight phenomenon" – that moment when one disruptive idea shatters the invisible walls of conventional thinking and unleashes a cascade of creative possibilities. We're not just limited by what we know, but by what we don't realize we're assuming. When we look at history's greatest innovations, this ability to think beyond self-imposed constraints becomes even more critical. The transistor. Penicillin. The theory of relativity. The internet itself. None of these came from incremental optimization. They required creative leaps that defied conventional thinking – precisely the kind of thinking we're at risk of losing in our growing dependency on AI. But here's the good news – research from cognitive neuroscience and psychology confirms what I've seen firsthand: our thinking skills can be systematically improved. We can rebuild and strengthen these creative pathways with the right techniques. This is where the concept of neuroplasticity becomes crucial. Like muscles, cognitive abilities respond to consistent, targeted exercise. And just as we've developed scientific approaches to physical fitness, we now have evidence-based methods for improving creative thinking skills. The research findings are encouraging: In just minutes a day of targeted practice, people show measurable improvements in creative output. And unlike many skills that decline with age, creative thinking can actually improve throughout our lives – if we nurture it. We stand at a crossroads. One path – cognitive surrender – is seductively easy. The other path requires effort but leads to something extraordinary: a partnership where AI handles the routine while we cultivate our uniquely human capacity to imagine what has never existed before. Here's what gives me tremendous hope: our brains remain remarkably adaptable throughout our entire lives. In the next episode, we'll dive into this revolutionary science and learn how to rewire our thinking for an AI-augmented world without losing what makes us human. Join me for "Creative Neuroplasticity: The Science of Enhanced Creative Thinking." Until then, I'm Phil McKinney, and remember – in an age of artificial intelligence, authentic human thinking has never been more important. Your support means everything to this channel. And if you're passionate about creativity and innovation, consider becoming a patron on Patreon or a subscriber on Substack. Your support helps make this content possible.

In 2007, two designers struggling to pay rent in San Francisco had a seemingly simple thought: "What if people could rent out their spare rooms to travelers?" This question—posed by Brian Chesky and Joe Gebbia—sparked what would become Airbnb, a company now valued at over $100 billion that has fundamentally reshaped how millions of people travel. The power of their question wasn't just in identifying a market gap. It challenged fundamental assumptions about hospitality, property use, and trust between strangers. It wasn't just incremental—it was transformative. And here lies the innovation paradox most organizations face today: Companies invest heavily in expertise, data, and answers, yet rarely invest in improving the quality of their questions. They hire specialists who know the current state of the art but don't necessarily know how to question it. They gather mountains of data but ask the same questions of it that competitors do. They reward employees who provide answers, not those who challenge assumptions with powerful questions. This explains why true breakthroughs remain rare. The uncomfortable truth is that the quality of your innovation is directly proportional to the quality of the questions you're asking. Transformative innovations don't come from having slightly better answers to the same questions everyone else is asking—they come from asking entirely different questions altogether. In this episode, you'll discover five specific questioning techniques that have demonstrably led to breakthrough innovations across industries. These aren't generic "think outside the box" prompts, but precise question formulations with clear applications and proven results. Master these, and you'll have the keys to unlock innovation possibilities others can't even see. The Science of Questioning Before diving into specific questioning techniques, it's worth understanding why questions—rather than answers—drive innovation so powerfully. Neurologically, questioning activates different brain pathways than analytical thinking. When we search for answers, we typically engage in convergent thinking, narrowing possibilities until we arrive at what seems optimal. This activates primarily the brain's prefrontal cortex, the region associated with logical reasoning and decision-making. But when we ask open questions, particularly those that challenge assumptions, we activate regions associated with divergent thinking and novel connections. According to research from the Center for Neural Decision Making at Temple University, individuals who regularly engage in questioning and curiosity-driven thinking show greater activation in areas associated with insight and creative problem-solving. This neurological difference has led innovative organizations to replace traditional brainstorming—which often produces incremental ideas at best—with what innovation facilitators call "question-storming." In these sessions, participants generate only questions about a challenge, focusing on quantity and provocativeness rather than immediate answers. Data supports this approach: A McKinsey study of over 300 companies found that those with formalized questioning methodologies in their innovation processes outperformed industry peers by an average of 34% in innovation output as measured by successful new products and services. Even more compelling is research from Harvard Business School professor Amy Edmondson, which demonstrates that teams that regularly engage in question-based inquiry rather than assertion-based advocacy show significantly higher rates of breakthrough thinking and successful innovation implementation. The science is clear: Better questions create better innovations. Now let's examine the five specific questions that have demonstrated the power to unlock breakthrough thinking. Question 1: The Constraint-Flipping Question Formula: "What if this limitation was actually an advantage?" Most innovators instinctively fight against constraints. Limited budget? Try to get more funding. Restrictive regulations? Look for loopholes. Legacy technology? Plan a complete overhaul. But true innovators know that constraints, reframed through the right question, can become catalysts for breakthrough thinking. Consider Southwest Airlines. When launching in the 1970s, the company faced severe financial constraints that limited them to purchasing only one type of aircraft—the Boeing 737. Rather than viewing this as a disadvantage, founder Herb Kelleher asked, "What if having only one type of aircraft is actually an advantage?" This question led to a cascade of innovations: The airline developed unparalleled expertise in maintaining and operating that specific aircraft. They simplified crew training since every pilot could fly any plane in the fleet. They streamlined parts inventory and maintenance processes. And they created a model for rapid turnaround at gates, since every plane had identical configurations. The result? Southwest became one of the most consistently profitable airlines in an industry where competitors regularly went bankrupt. Application Techniques: To apply the constraint-flipping question in your context: Identify your most frustrating constraints. List the limitations you believe are holding back innovation—budget restrictions, regulatory requirements, technology limitations, etc. For each constraint, explicitly ask: "What if this limitation is actually an advantage? How might it force us to innovate in ways we wouldn't otherwise consider?" Generate at least seven possibilities for how this constraint could drive rather than inhibit innovation. Develop the most promising responses into concrete innovation concepts. Implementation Exercise: With your team, identify your three most significant constraints. For each, complete this sentence: "This limitation could become our greatest innovation advantage if we..." Herb Kelleher's answer was: "This limitation could become our greatest innovation advantage if we built our entire operational model around mastering one aircraft type rather than offering variety." What's yours? Question 2: The Cross-Industry Inspiration Question Formula: "How has another entirely unrelated industry solved a similar problem?" Industries develop their own orthodoxies and blind spots. What seems innovative within one sector might be standard practice in another. The cross-industry inspiration question breaks through these silos by forcing connections between seemingly unrelated domains. One of the most powerful examples comes from healthcare. In 2005, Great Ormond Street Hospital in London was struggling with patient handoffs between surgery and intensive care—a critical moment when communication failures regularly led to complications. Instead of looking to other hospitals for solutions, someone asked a revolutionary question: "Who else handles high-stakes handoffs with precision and speed?" The answer came from an unexpected source: Formula 1 racing pit crews. The hospital sent a team to observe Ferrari's pit stops, where 20 people perform complex, sequential tasks in under seven seconds. This cross-industry inspiration led to the development of new handoff protocols that reduced technical errors by over 40% and information handoff omissions by nearly 50%. Application Techniques: To apply the cross-industry inspiration question effectively: Abstract your challenge to its fundamental pattern. Rather than "How do we improve patient handoffs?" ask "How do we execute complex, time-critical processes with minimal error?" Identify industries that excel at that fundamental pattern, even if they seem completely unrelated to your field. Study those industries' approaches, looking for transferable principles rather than surface-level practices. Adapt and test the principles in your context, modifying as needed for your specific constraints. Implementation Exercise: For your current innovation challenge, complete this statement: "At its core, we're really trying to solve the problem of ____________." Then identify three completely unrelated industries that might excel at solving that core problem. For each, research their approaches and identify at least one principle you could adapt to your context. Question 3: The First Principles Question Formula: "What would we do if we started completely from scratch, ignoring all precedent?" Most innovation is built on existing foundations, iterating on what came before. But the most disruptive innovations come from challenging fundamental assumptions and rethinking problems from first principles. Elon Musk famously applied this questioning approach to space technology. When starting SpaceX, conventional wisdom held that rockets were necessarily expensive, with costs running into hundreds of millions of dollars. Rather than accepting this, Musk asked: "What would rocket design look like if we started completely from scratch, questioning every assumption?" This led his team to break down rockets into their basic components and reconsider each one. They found that the raw materials for rockets cost only about 2% of the typical price of a rocket. This insight drove them to vertically integrate production, building components in-house rather than purchasing them from traditional aerospace suppliers with 100-year-old designs. The result was the development of rockets at roughly one-tenth the cost of traditional designs, fundamentally changing the economics of space access. Application Techniques: To apply the first principles question: List all assumptions in your current approach. What do you take for granted about how things must work? Challenge each assumption by asking, "Why must this be true? What would happen if the opposite were true?" Break down the problem to its fundamental elements. What are the irreducible components or factors? Rebuild your approach from these elements, ignoring precedent and tradition. Implementation Exercise: For your next innovation challenge, hold a "first principles session" where: You list all assumptions about how your product, service, or process must work Explicitly challenge each one with "What if this wasn't true?" Identify the three assumptions that, if challenged, would most dramatically change your approach Question 4: The Extreme User Question Formula: "What would delight our most demanding users so much they couldn't imagine going back?" Average users give you feedback for incremental improvements. Extreme users—those with the most demanding needs, unusual use cases, or challenging contexts—can point the way to breakthrough innovations. Apple's development of voice-activated technology provides a compelling example. While voice control is now mainstream, its origins lie partly in designing for users with disabilities. By asking "What would create a transformative experience for users who cannot use traditional interfaces?" Apple developed technologies that eventually evolved into Siri and voice control features that millions now use daily. Similarly, OXO built a kitchen tool empire by focusing first on users with arthritis and other grip limitations. The question "What would make tools usable for people with the most limited grip strength?" led to innovations in handle design that turned out to create better experiences for all users. Application Techniques: To leverage the extreme user question: Identify your extreme users. These might be power users who push your product to its limits, users in challenging contexts (extreme climates, resource-limited settings), users with special needs, or even non-users who have rejected your category entirely. Study them intensively, through interviews, observation, and collaborative design. Ask explicitly: "What would transform your experience so dramatically you couldn't imagine going back to the current approach?" Test whether solutions for extreme users reveal unmet needs for mainstream users as well. Implementation Exercise: Select three "extreme user" categories for your product or service. For each, arrange to interview or observe at least two users in that category. Focus on understanding their workarounds, frustrations, and ideal scenarios. Then ask: "What features would make this so perfect for them that they would become evangelists for our solution?" Question 5: The Counterintuitive Question Formula: "What if the opposite of our current approach is true?" Our mental models and industry conventions often limit our thinking in ways we don't even recognize. The counterintuitive question deliberately inverts these models to reveal new possibilities. Netflix revolutionized talent management by asking precisely this type of question. While most companies aim to build controls to minimize the damage that could be caused by disengaged employees (detailed procedures, approval hierarchies, expense limits), Netflix asked, "What if we did the opposite? What if we maximized freedom instead of minimizing abuse?" This led to their famous "Freedom and Responsibility" culture, which eliminated vacation tracking, expense approval processes, and rigid reporting structures. The counterintuitive approach helped Netflix attract exceptional talent and build a culture of high performance and innovation that supported their transformation from DVD delivery to streaming pioneer. Application Techniques: To apply the counterintuitive question: Identify your organization's core practices or beliefs about how to approach your market, product development, or operations. For each practice or belief, ask: "What if the opposite approach is actually more effective? What would that look like?" Explore the inverted approach thoroughly before dismissing it, looking for elements that challenge your assumptions constructively. Test small-scale inversions to see if they yield unexpected benefits. Implementation Exercise: List the three most firmly held beliefs about "how things work" in your industry. For each one, complete the sentence: "What if the opposite is true? If so, we would..." Then identify one small-scale experiment you could run to test elements of the inverted approach. The Innovation Question Cascade These five questions are most powerful when used systematically rather than in isolation. The Innovation Question Cascade provides a framework for sequencing these questions within your innovation process: Start with the First Principles Question to clear away limiting assumptions and establish a blank slate of possibilities. Apply the Extreme User Question to identify meaningful problems worth solving and generate initial solution concepts. Explore the Cross-Industry Inspiration Question to bring in novel approaches from unrelated domains. Use the Constraint-Flipping Question to turn limitations into advantages in your emerging concepts. Finish with the Counterintuitive Question to check whether inversions of your approach might yield even better results. This cascade can be embedded in existing innovation processes through question-centered workshops, where each phase focuses on one of these questioning techniques. Innovation teams can be trained in facilitating these sessions and capturing the insights they generate. Common obstacles to implementing questioning approaches include impatience for answers (especially among senior leaders), cultural norms that reward quick solutions over thoughtful inquiry, and the cognitive discomfort that comes with leaving questions open. To overcome these obstacles, start small. Introduce one questioning technique in a low-stakes context, demonstrate its value, and gradually expand. Create explicit permission for "question time" where the pursuit of answers is temporarily suspended. For your first week, try this simple practice plan: - Day 1: Ask the First Principles Question about one aspect of your work - Day 3: Apply the Constraint-Flipping Question to a current limitation - Day 5: Experiment with the Counterintuitive Question in a team discussion Measuring Question Impact How do you know if better questioning is actually improving your innovation outcomes? The key is to track both process measures (how questioning is changing your approach) and outcome measures (how those changes affect results). Process measures might include: - Question diversity (number of different question types raised in innovation discussions) - Assumption identification (number of previously hidden assumptions surfaced) - Exploration breadth (number of distinct solution approaches considered) Outcome measures could include: - Innovation novelty (degree of departure from existing approaches) - Implementation success (percentage of innovations that achieve desired results) - Time to breakthrough (how quickly fundamental insights emerge) Organizations like IDEO and Google Ventures actively measure question effectiveness in their innovation processes. IDEO, for example, tracks "How Might We" questions generated during design thinking sessions, analyzing their characteristics against ultimate project outcomes. A simple assessment tool for evaluating your team's current questioning patterns is the Question Quotient (QQ) framework: Record a typical innovation meeting Count the ratio of questions to statements Analyze what percentage of questions challenge assumptions versus merely seeking information Track how these metrics change as you implement the questioning techniques outlined above This is an opportunity to test an AI tool to transcribe and extract the "Question Quotient" metrics for your innovation sessions.  The Question Revolution Returning to the Airbnb story, there's a fascinating detail often overlooked. Before their breakthrough question about renting spare rooms, the founders had been pursuing a completely different business model focused on roommate matching. It wasn't superior market knowledge or technical expertise that led to their breakthrough—it was their willingness to question fundamental assumptions about how the hospitality industry should work. This pattern repeats across innovation history. The transformative power of questioning has been the hidden force behind countless breakthroughs, from Netflix's reinvention of video distribution to Toyota's reinvention of manufacturing with the simple question: "Why do we need inventory?" Before we wrap up today's episode, I want to thank all of you for joining me on this journey. I'm grateful for each and every one of you who takes the time to watch and engage. If you found value in our content, please hit that like button and subscribe to our channel. It helps more innovators like you discover these concepts. Its our collective way to "pay-it-forward".  Don't forget to tap the notification bell so you never miss an episode.  For those who want to go deeper with these concepts of questions and their role in innovation and creativity, you can check out my book, Beyond the Obvious and the Killer Questions Card deck. All of our tools are at Innovation [DOT] Tools. 100% of the profits are donated to charity.   You'll find the link in the description below. Have you used any of these questioning approaches in your work? I'd love to hear your experiences in the comments section. Your stories inspire this community and help us all grow. And speaking of community, a special shout-out to our Patreon patrons and paid subscribers on Substack who support the channel and get exclusive access to our special content and live streams. If you're interested in joining, become a supporter at either:  Patreon Substack  Remember, the quality of your innovation is directly proportional to the quality of the questions you're asking. One powerful question can change everything. Until next week, keep questioning, keep creating, and keep pushing boundaries.  I'm Phil McKinney, and as always, thank you for being part of this innovation journey.

Today we chat with Phil McKinney, a successful business person and innovator who has been the CTO of HP and the CEO of Cable Labs.We explore Phil's career journey from starting as a software engineer and working on projects such as the original Mac, biometric security, and computer graphics, to leading the innovation program at HP and creating products that earned HP a spot on Fast Company's list of the most innovative companies.He shares some of the lessons and insights he learned along the way, as well as some of the mentors and influences that shaped his thinking.Phil talks about his views on the difference between invention and innovation, and how he learned to communicate and collaborate with different roles and functions within an organization. Join us for this inspiring interview with our friend Phil McKinney.-The question we would always ask in a pitch session was,“Will this play in Iowa?”Doesn't matter whether it plays in Silicon Valley or in New York. Those are bubbles.If you're looking to have a broad impact, you need to have an understanding of what people are dealing with on a day-to-day basis.-Phil's Links: LinkedInTwitterBlogHacking AutismPodcast (Killer Innovations)Book (Beyond the Obvious)CableLabsWikipedia--Thanks for being an imposter - a part of the Imposter Syndrome Network (ISN)! We'd love it if you connected with us on LinkedIn: https://www.linkedin.com/company/the-imposter-syndrome-network-podcast Make it a great day.

Turn to God when you face any trial or temptation, and he will deliver you. Adversity can lead us into a deeper union with God or deeper into sin—it is all about who or what you turn to for comfort during those times.

Believers should be praying for the reign of God to come. What does it mean for you personally to see God's will done “on earth as it is in heaven”?

What's up everyone and welcome to The Corporate Bartender!We're gonna have some fun today! Our guest is a communications coach, leadership expert, and My Morning Jacket superfan! (He loves Pearl Jam as well) - Check out the art behind him in the video!Today, we're talking all about leading with authenticity. We're going to take a look at a simple, yet powerful framework for your messages, and our own Lori Lantz is going to get coached in REAL TIME!Tim Fortescue is on the program today!  He's the founder of 40 Watt Coaching, is a former basketball coach, and he reminds me a little of Cameron from Ferris Beuller's Day Off!This conversation was a KILLER,  and I think you're all gonna dig it!If you want to skip straight to the interview, 3:33 is your spot!TCB Layout:0:00 - Show Open & Intro0:53 - Titles1:18 - Kickoff 3:33 - Tim Fortescue Interview40:26 - Q&A52:20- Funny Things & WrapWebsite: https://40wattcoaching.com/LinkedIn: https://www.linkedin.com/in/timfortescue/The Phil McKinney episode mentioned: https://share.transistor.fm/s/781ab078Join our community!https://the-corporate-bartender.mn.co/Theme Music by Hooksounds.com

In this last sermon, we explore the communion table as a glimpse of the future banquet in God's kingdom, fostering hope and readiness. This week invites us to anticipate the divine reunion, fostering a deep sense of hope, joy, and readiness for the promised glorious banquet as we partake in communion at the table.

Let's bust a myth: Creativity isn't an innate talent that you're lucky to have or out of luck if you don't. And it's not just about the arts. Everyone is creative, and it comes in all forms. In this episode, author Phil McKinney gives actionable tips on how to overcome the idea that creativity can't be learned.   Listen to hear tips, formulas, and guidance on how to bring creativity into your day-to-day firm life.  Links from the episode:   Phil's book: Beyond the Obvious   If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free!  Thanks to   Posh Virtual Receptionists, NetDocuments & LawPay. for sponsoring this episode.  

Let's bust a myth: Creativity isn't an innate talent that you're lucky to have or out of luck if you don't. And it's not just about the arts. Everyone is creative, and it comes in all forms. In this episode, author Phil McKinney gives actionable tips on how to overcome the idea that creativity can't be learned.   Listen to hear tips, formulas, and guidance on how to bring creativity into your day-to-day firm life.  Links from the episode:   Phil's book: Beyond the Obvious   If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free!  Thanks to Posh Virtual Receptionists, NetDocuments & LawPay. for sponsoring this episode. 

We often think of commiting to Jesus as a list of boxes that we need to check to keep God happy. But at it's core, discipleship is about relationship and being present with the Father. 

When you mix the Christian faith with the unbiblical, popular beliefs of the day, you lose Jesus.

Paul wants the believers to grow into maturity in Christ. But he knows that it won't happen until they are convinced of the authority of Christ. 

We've met some brilliant product minds on this show over the years. If you're a long-time listener you hopefully enjoyed discussions with legends like Phil McKinney, former CTO of HP, and Philippe Cases, founder and CEO of Topio Networks, among others. Today's guest belongs on that list. Rich and I first met when he was starting UserVoice around 2010 and I was at ServiceNow. I love his approach to innovation. He pioneered the idea that listening to customers can be as easy as adding a feedback tab to every web page back when all that existed were clunky survey tools. Today, thousands of sites use the widget he invented. He's now out to make meetings more productive by helping attendees focus on conversations while an app transcribes them and offers simple buttons to annotate what's happening. It's obvious once you've used Fathom that this is the future of meetings.Rich White is not only a serial innovator but also a repeat entrepreneur who has raised from a group of exceptional investors over the years and was part of the YC Winter 2021 batch. Enjoy!Listen and learn...As a product expert and innovator, how to know when you've found "an itch worth scratching"What is "product-market fit" and how to know when you've achieved itWhat is a viral coefficient and how do you calculate itHow the "jobs to be done" framework led Rich to develop the key feature of FathomThe hardest problem Fathom has solved... has nothing to do with voice transcriptionHow Fathom trains developers to practice responsible AIReferences in this episode:Project Linchpin from the US Army is centralizing more than 685 AI projectsPhil McKinney on AI and the Future of WorkPhilippe Cases on AI and the Future of WorkFathom

"Don't judge me! The Bible says so." We hear this often in our world today, and so we try to refrain from all judgements of people. But, is that what the Bible says? Does it tell us that we should not judge? 

Do you struggle with wanting to be in control but often find you are anxious? Many times, our desire to control is merely functional atheism. Control and Anxiety are the antitheses of Surrender and Rest.

When we run, God chases. But what do you do once He catches up with you? When Jonah was caught in a situation he couldn't escape, there was only one place to turn. The same is for all of us: back to the One who never stopped chasing you.

Only one person ever lived righteously, and we must welcome his presence inside us. The fruit of the Spirit is visible evidence of the presence of Christ in someone's life. And when we are led by the Spirit it's not like a pace car you must strive to keep up with, but a locomotive that is leading us in the direction of Christ-likeness.

Vic Verchereau welcomes Phil McKinney the Pastor of Believers Church, author, and successful life coach. Some ask "What is a pastor/life coach going to be able to provide that will help me in the marketplace?" There is so much to consider when thinking about the world from a pastor's perspective. They are people dealing with customers up close, they are running non-profits with opinions coming in from everywhere and coaching teams and individuals through some of life's toughest issues. Phil says, “when you are stuck, there is only one way to get out - you need help”! The biggest enemy to asking for help is our own ego. You can continue to spin your wheels or you can connect yourself to a coach, and get moving again! As John Maxwell says, "One is too small of a number to achieve greatness." Getting the help you need is not a sign of weakness, it is a sign of determination. You will feel a sense of revival as you begin to take ground again, and the passion to succeed will fuel you on to the next level. No Ego is your lifeline! Grab ahold and let's get moving again! This edition of the Leadership Lowdown is your ticket to getting leadership tips for a fast-moving world! Listen in!

KillerInnovations.com philmckinney.com If you have an idea that you're struggling to move forward with, you need to get to know and follow innovator Phil McKinney. Phil McKinney has been in the innovation space inventing for more than 30 years. He has been awarded a staggering 14 "Product of the Year" awards! Most recently, he headed up the innovation team for all of Hewlett-Packard as Chief Technology Officer. He's a big believer that creative people are made, not born, which we couldn't agree more with. Anyone can learn to be creative, he says. But you have to commit. Phil has dedicated the latest iteration of his career to helping other people learn how to do what he does. Amazingly, he has been producing the longest continually running podcast — Killer Innovations — in the world in history! He started in March of 2005. We're impressed Phil. His weekly blog articles, books, and weekly podcast episodes share his mistakes and his advice for what he'd do differently. The generosity of people who love to be innovative and help others be innovative is never lost on us. Thank you Phil for all you do to help creative people! How will you pay your love of inventing forward? Do you need help with your invention idea? Do you have an invention idea and don't know what to do next? How do you license an idea? How do you patent an invention? Learn how to become a profitable inventor and earn passive income from your creativity following the advice of inventors Stephen Key and Andrew Krauss. They are the world's leading experts on how to license a product idea. If you have an invention idea, inventRightTV is the show to watch. Stephen Key and Andrew Krauss are the cofounders of inventRight, a coaching program that has helped people from more than 65 countries license their ideas for new products. http://www.inventright.com If you have questions about how to invent, how to be creative, design, how to do market research, prototyping, manufacturing, negotiating, pitching, how to sell, how to cold call, how to reach out to open innovation companies, licensing agreements, non-disclosure agreements, patents, copyright, trademarks, and intellectual property in general — subscribe to inventRightTV! New videos every week, including tons of entrepreneur success stories. Inventing can be lonely, but you don't have to go it alone! Join the inventRight community for priceless inventor education, mentorship, support, accountability, hand-holding, honesty about the invention industry, and so much more. Contact us at #1-800-701-7993 or https://www.inventright.com/contact. This is the book you need to license your product idea: “One Simple Idea: Turn Your Dreams Into a Licensing Goldmine While Letting Others Do the Work.” Find it here: http://amzn.to/1LGotjB. This is the book you need to file a well-written provisional patent application: “Sell Your Ideas With or Without a Patent.” Find it here: http://amzn.to/1T1dOU2. Determined to become a professional inventor? Read Stephen's new book "Become a Professional Inventor: The Insider's Guide to Companies Looking For Ideas": https://www.amazon.com/gp/product/1653786256/ inventRight, LLC. is not a law firm and does not provide legal, patent, trademark, or copyright advice. Please exercise caution when evaluating any information, including but not limited to business opportunities; links to news stories; links to services, products, or other websites. No endorsements are issued by inventRight, LLC., expressed or implied. Depiction of any trademarks/logos does not represent endorsement of inventRight, LLC, its services, or products by the trademark owner. All trademarks are registered trademarks of their respective companies. Reference on this video to any specific commercial products, process, service, manufacturer, company, or trademark does not constitute its endorsement or recommendation by inventRight, LLC or its hosts. This video may contain links to external websites that are not provided or maintained by or in any way affiliated with inventRight, LLC. Please note that the inventRight LLC. does not guarantee the accuracy, relevance, timeliness, or completeness of any information on these external websites. The inclusion of any links does not necessarily imply a recommendation or endorse the views expressed within them. If you need help with your invention idea please reach out to us. We can help you patent, design and license your invention idea.

KillerInnovations.com philmckinney.com How do you close a deal? When you pitch an idea as a creative person and an entrepreneur, how do you get people to say yes? There's always a risk when you do something new! So how can you take away fear and get that yes? Product licensing expert Stephen Key interviews Phil McKinney about how he tips deals over. Is it his team? Is it proof of demand? Phil says, "Do your research and understand the company before you pitch." Doing your research is so important. Don't make people spend time educating you, which Phil describes as a turnoff. You can only be so open and so available to so many people. Phil shares that he had constant meetings listening to new ideas from startups and independent inventors when he lead the innovation team at HP as Chief Technology Officer, because he believes in the power of open innovation. You cannot innovate alone! You must understand their customer and make sure you align with their goals. You have to stack value on top of something they're already making available. It may take years to convince them to go in a different direction than they already are! Phil says, you need to ask for clarity. Is this something on your radar or not on your radar? You want to guard your time and your capital and not be strung along by people who are being nice. Phil and Steve discuss why going after the biggest player on the block just doesn't make that much sense. Make sure to watch our other videos with Phil and follow Phil's remarkable body of work about innovation. Do you need help with your invention idea? Do you have an invention idea and don't know what to do next? How do you license an idea? How do you patent an invention? Learn how to become a profitable inventor and earn passive income from your creativity following the advice of inventors Stephen Key and Andrew Krauss. They are the world's leading experts on how to license a product idea. If you have an invention idea, inventRightTV is the show to watch. Stephen Key and Andrew Krauss are the cofounders of inventRight, a coaching program that has helped people from more than 65 countries license their ideas for new products. http://www.inventright.com If you have questions about how to invent, how to be creative, design, how to do market research, prototyping, manufacturing, negotiating, pitching, how to sell, how to cold call, how to reach out to open innovation companies, licensing agreements, non-disclosure agreements, patents, copyright, trademarks, and intellectual property in general — subscribe to inventRightTV! New videos every week, including tons of entrepreneur success stories. Inventing can be lonely, but you don't have to go it alone! Join the inventRight community for priceless inventor education, mentorship, support, accountability, hand-holding, honesty about the invention industry, and so much more. Contact us at #1-800-701-7993 or https://www.inventright.com/contact. This is the book you need to license your product idea: “One Simple Idea: Turn Your Dreams Into a Licensing Goldmine While Letting Others Do the Work.” Find it here: http://amzn.to/1LGotjB. This is the book you need to file a well-written provisional patent application: “Sell Your Ideas With or Without a Patent.” Find it here: http://amzn.to/1T1dOU2. Determined to become a professional inventor? Read Stephen's new book "Become a Professional Inventor: The Insider's Guide to Companies Looking For Ideas": https://www.amazon.com/gp/product/1653786256/ inventRight, LLC. is not a law firm and does not provide legal, patent, trademark, or copyright advice. Please exercise caution when evaluating any information, including but not limited to business opportunities; links to news stories; links to services, products, or other websites. No endorsements are issued by inventRight, LLC., expressed or implied. Depiction of any trademarks/logos does not represent endorsement of inventRight, LLC, its services, or products by the trademark owner. All trademarks are registered trademarks of their respective companies. Reference on this video to any specific commercial products, process, service, manufacturer, company, or trademark does not constitute its endorsement or recommendation by inventRight, LLC or its hosts. This video may contain links to external websites that are not provided or maintained by or in any way affiliated with inventRight, LLC. Please note that the inventRight LLC. does not guarantee the accuracy, relevance, timeliness, or completeness of any information on these external websites. The inclusion of any links does not necessarily imply a recommendation or endorse the views expressed within them. If you need help with your invention idea please reach out to us. We can help you patent, design and license your invention idea.

At the Feast of Tabernacles, water was ceremonially poured out in remembrance of God's faithfulness and in expectation of His Spirit bringing renewal to Israel. That is the very moment Jesus chooses to make an open invitation and a bold claim. We are a thirsty people and are always trying to quench that thirst. But what well are we tapping into? The Spirit's depiction as water means only He can quench our thirst. 

https://10gchallenge.com Submit your idea! Who doesn't want faster, better internet? The cable industry has laid out a vision to deliver 10 gigabits of network speeds before 2030, and they're not only on track to meet this deliverable, they're ahead of track! The big question is, what are consumers and businesses going to do with all of these high capacity broadband networks? Innovators are always taking advantage of new opportunities to shape the world, and this is no different! The 10G Challenge is offering inventors more than $300,000 in total prize money for their ideas for new products and services. Inventor and open innovation advocate Stephen Key interviews Phil McKinney, the CEO of CableLabs, who is hosting an amazing challenge to celebrate big ideas and usher in a better future. Learn more about the 10G Challenge and submit your idea: https://10gchallenge.com CableLabs, in collaboration with Zoom, Corning and Mayo Clinic, announced The 10G Challenge to support and encourage innovators to leverage the emerging 10G network (a broadband network offering speeds of 10Gbps) by creating services, applications, and technologies that will change the world. Learn more about CableLabs: https://www.cablelabs.com CableLabs, a leading innovation lab, is committed to helping advance R&D and collaboration for a 10G future. They are innovators helping innovators accelerate the delivery of technologies that impact the world. Get to know Phil McKinney, CEO of CableLabs and former CTO of Hewlett-Packard: https://philmckinney.com Listen to Phil's podcast, Killer Innovations: https://killerinnovations.com Do you need help with your invention idea? Do you have an invention idea and don't know what to do next? How do you license an idea? How do you patent an invention? Learn how to become a profitable inventor and earn passive income from your creativity following the advice of inventors Stephen Key and Andrew Krauss. They are the world's leading experts on how to license a product idea. If you have an invention idea, inventRightTV is the show to watch. Stephen Key and Andrew Krauss are the cofounders of inventRight, a coaching program that has helped people from more than 65 countries license their ideas for new products. http://www.inventright.com If you have questions about how to invent, how to be creative, design, how to do market research, prototyping, manufacturing, negotiating, pitching, how to sell, how to cold call, how to reach out to open innovation companies, licensing agreements, non-disclosure agreements, patents, copyright, trademarks, and intellectual property in general — subscribe to inventRightTV! New videos every week, including tons of entrepreneur success stories. Inventing can be lonely, but you don't have to go it alone! Join the inventRight community for priceless inventor education, mentorship, support, accountability, hand-holding, honesty about the invention industry, and so much more. Contact us at #1-800-701-7993 or https://www.inventright.com/contact. This is the book you need to license your product idea: “One Simple Idea: Turn Your Dreams Into a Licensing Goldmine While Letting Others Do the Work.” Find it here: http://amzn.to/1LGotjB. This is the book you need to file a well-written provisional patent application: “Sell Your Ideas With or Without a Patent.” Find it here: http://amzn.to/1T1dOU2. Determined to become a professional inventor? Read Stephen's new book "Become a Professional Inventor: The Insider's Guide to Companies Looking For Ideas": https://www.amazon.com/gp/product/1653786256/ inventRight, LLC. is not a law firm and does not provide legal, patent, trademark, or copyright advice. Please exercise caution when evaluating any information, including but not limited to business opportunities; links to news stories; links to services, products, or other websites. No endorsements are issued by inventRight, LLC., expressed or implied. Depiction of any trademarks/logos does not represent endorsement of inventRight, LLC, its services, or products by the trademark owner. All trademarks are registered trademarks of their respective companies. Reference on this video to any specific commercial products, process, service, manufacturer, company, or trademark does not constitute its endorsement or recommendation by inventRight, LLC or its hosts. This video may contain links to external websites that are not provided or maintained by or in any way affiliated with inventRight, LLC. Please note that the inventRight LLC. does not guarantee the accuracy, relevance, timeliness, or completeness of any information on these external websites. The inclusion of any links does not necessarily imply a recommendation or endorse the views expressed within them. If you need help with your invention idea please reach out to us. We can help you patent, design and license your invention idea.

On the Weekly Briefing podcast: Cable broadband has been figuratively bullet-proof for roughly two decades. Now cable is prepping multi-gigabit connectivity. A conversation with CableLabs CEO Phil McKinney, an evangelist for innovation, about 10G cable broadband, ethical innovation, 3-D light-field displays, half of 13, and more.    

Phil McKinney, former HP CTO and one of the "50 most innovative" thinkers on the planet according to Fast Company, has helped develop products used by more than a half billion people.  Hear Phil put on a master class in how to turn ordinary teams into innovation machines.Listen and learn...Phil's seven rules of innovation.What it means to have a "T-shaped" career... and why you should want one.How Phil got his start in podcasting... in 2005! Phil's secrets for how to become more creative. The top skill CEOs look for in new hires. References in this episode:Phil's TEDx talk on the impostor syndromeBob Davis, Phil's mentorPhil's websitePhil's Killer Innovations podcastThanks to Dr. Mamoun Samaha for the introduction to Phil.

Dr. Mamoun Samaha, CTO at the International Technological University and Professor of Computer Science at Northeastern University, is an operator and academic with a long track record of success in the classroom and board room. His research spans the areas of mobility, security, and networking. He has strong opinions about what it means to be human in an age of automation. Worth a listen to hear his insights about how technology will change our lives in the next decade. Listen and learn...What's required to be a great CTO.Why Dr. Samaha says "change is now exponential... it's no longer linear." Why AI-powered security solutions at the edge of the network are critical.Tips for startups selling technology to CTOs.The one product Dr. Samaha would purchase today if it existed.The skills every high schooler should learn that will never be replaced by AI.References in this episode...Phil McKinney, Dr. Samaha's role modelJohn Whaley on AI and the Future of WorkIntrinsic ID

Phil McKinney, president and CEO of CableLabs, joins the Light Reading podcast to discuss where the cable industry is on the path to 10G and how CableLabs is stoking interest and innovation with its 10G Challenge."The path to the ultimate vision for 10G – 10 gigabits and beyond – is a long road. We're talking multi-gigabit symmetrical coming soon and then getting into the higher speeds. But, again, 10G is not just about DOCSIS," McKinney told podcast hosts Phil Harvey and Kelsey Ziser. "We also have a lot of work going on in fiber and then there are other elements – low latency, improved security, improved privacy and all of those elements. We made great progress in 2021. And in 2022, a lot of the focus is on the next step in speed and performance."Here are just a few things covered in this podcast episode:The CableLabs 10G challenge (04:10)The kinds of applications that would really need ultra-low latency (6:25)How CableLabs is working to help companies find their way in the metaverse (09:46)Adaptive route control, application privacy and why apps don't need to always know your location (14:29)Does IPA beer taste like grass clippings? (20:56)FARMSIS – the funny name and serious effort to connect rural America (22:02)Related stories and links:Will the metaverse lead cable's '10G Challenge'?Cable network set to become 'predictive and more proactive,' Cox CTO saysNeed for mobile convergence forced cable to 'think differently,' CableLabs CEO saysCableLabs targets rural broadband with new 'FARMSIS' fixed wireless specsKiller Innovations with Phil McKinney (Podcast website)Light Reading Podcast news, analysis and opinionSign up today for the Light Reading newsletter. See acast.com/privacy for privacy and opt-out information.

Remember, as we approach prayer, fasting, and the spiritual disciplines, it is important that we consider our Attitude, Approach, Posture, and Presence. These four areas are our passwords to connect to God's network. This week, we focus on our Posture and Presence.

With the year ahead promising new twists and turns for managers trying to navigate change and create team success, Wim and Jim are joined by the President/CEO of Cablelabs and innovation expert Phil McKinney. Phil's most recent book, “Beyond the Obvious- Killer Questions that Spark Game Changing Innovation” explores the future of disruptive technologies and how we can all thrive in a time of disruption. 

Today's episode is one of my favorites! We're talking about innovation and we are JACKED to have innovation thought leader, Phil McKinney on the program!  If you want to skip straight to her interview, 5:27 is your spot.If you don't know Phil, you should get on that, he's AMAZING.Phil's passion is innovation. He's the CEO of CableLabs, an author, coach, and the host of the longest continuously produced podcast...EVER. It's called Killer Innovations, and has been running since before iTunes!He was the CTO at Hewlett Packard, He's the author of the book "Beyond The Obvious," the founder of "Hacking Autism," a nonprofit using innovation to change the game in autism therapy, and he EVEN built a fish farm in Rwanda. I could go on and on.TCB Layout0:00 - Open0:55 - Show Start2:28 - News5:27 - Phil McKinney Interview1:06:24 - Funny Stuff & Close___Links:Phil McKinney Website: https://philmckinney.com/Podcast Website: https://killerinnovations.com/Book Website: https://beyondtheobvious.com/TCB Mighty Network: https://the-corporate-bartender.mn.co/So, what is TCB?In these crazy days, I felt like we could all use some support, some community, some innovative people-side-of-the-business ideas, and of course, some cocktails. What started as a response to COVID19 has evolved into something much more meaningful. It's become an amazing group of people leaders from various industries who have come together as the world is changing to share ideas, some best practices, to learn from our mistakes, and build connection with others who are facing similar issues.We are all about sharing at TCB. We share Learning & Development tools. We share updates to the legal landscape. We talk about issues facing our employees and our leadership teams. We interview innovative People Leaders who have cutting edge ideas. Oh, and we laugh. A lot!I know what you're thinking. What is this thing? Is it another Zoom meeting? Is it a Podcast? Is it a show? What in the world am I getting into? It's all of those things and none of those things. Think of it as a video podcast with a live interactive audience. It's a community. It's a forum for ideas, meeting similar folks, and finding a little bastion of sanity in an exceedingly complex world. It's a breath of fresh air, and a respite from your grueling schedule - where you'll be in great company, and probably take away a few things that you can use at work...and in life each episode.If you are an HR or People Leader in your organization, this is the place for you. You are welcome here!

Fake it till you make it? This week I sat down with Phil McKinney to discuss his powerful testimony on overcoming Imposter Syndrome. Despite Phil's impressive resume (Former VP and Chief Technology Officer for Hewlett Packard, President of CableLabs, Founder of the Innovators Network, Host of the Killer Innovations Podcast, author, and so much more), Phil had a secret that made Imposter Syndrome a nagging hurdle to overcome. Connect with Scott Miller:https://www.facebook.com/scottmillerceohttps://www.instagram.com/scottmillerceo/https://twitter.com/scottmillerceohttps://www.linkedin.com/in/scottmillermedia/

What do you need to do if you want to bring your idea to the shelf and make a profit from it? We find out in this informative episode. Phil McKinney is on hand to interview Tracy Hazzard on the design and commercialization process. Tracy discusses their design process, the common issues companies face in getting an idea realized, and some manufacturing woes. Plus, we also get a short discussion on intellectual property to boot! Listen in for a fun and fact-filled episode on design and innovation.

This week's guest is one who is all too familiar to us. Phil McKinney, the host of the Killer Innovations show, will be joining us for the 16th anniversary of the Killer Innovations podcast. Bob O'Donnell, a Silicon Valley veteran, the President, Founder, and Chief Analyst at TECHnalysis Research, joins us to discuss the history of the Killer Innovations and some memorable moments on the show.    How It All Started Let's talk about the backstory of the podcast. How did it get started and what was the motivation behind it? In 2004 while at HP, I had a talk with my mentor Bob Davis. I asked him how I could pay him back for all the help he had given me. He laughed at me and told me to just pay it forward. In late March 2005, I recorded a little test show while in a bathroom at the Marriot Resort in Arizona and eventually it just took off. What was the idea for your focal point? For me, it was all about innovation. Everybody thinks of me as being a tech guy because of my time at HP, but my background also covers things like wireless and mobile. It's all about giving people an inside look on things and helping them take ideas and develop them into knockout products and services. It doesn't matter if you're running a lawn care service or a large multi-national company providing auto insurance. Our listeners cover a wide variety of sizes and industries. What's your elevator pitch on innovation? Innovation is a skill that anyone can learn, and anyone can become proficient at it. We are all born naturally creative, and we need to find those channels of creativity to create and share the ideas running around in our heads. It's all about taking those ideas and not letting the fear of failure stop you from successfully solving those problems.    FIRE When companies hire you to discuss innovation, what are the key messages you deliver? Recently, we've been working with Brother, the U.S Marine Corps and the Veterans Administration helping the government understand innovation from a unique perspective. We teach a framework with four elements around the word FIRE. F stands for focus and it's about identifying where the upside opportunity is. Once you identify the problem space, then you can get into the I which is ideation. There are a lot of different ways to come up with ideas. Each person goes off on their own and comes up with ideas. Then they come back and share those ideas with their group. The third step is ranking. Very few organizations participate in rankings. There are different processes for ranking ideas but as a leader, it is important to get your team involved in it. The last letter is E for execution. Without execution, it's a hobby. What are the timeframes for teaching the framework of FIRE? For the Marine Corps, we can do focus, ideation, and ranking in two to three hours. That includes problem statement definition, individual and team brainstorming, ranking, and an early phase of execution.    Memorable Shows What are some of the most memorable shows you've done? I've had Peter Guber, co-owner of the Golden State Warriors on the show, and got to be in one of his books. Bob Metcalfe, the founder of 3Com which co-invented ethernet, was also on the show. In 2005 before iTunes was a thing, I started podcasting. There was a company called Odeo that specialized in podcatching so people could get podcasts on their iPods and phones. They reached out to me asking for feedback when they were first conceiving their product. Odeo ended up becoming the social media platform Twitter. The Dean Kamen (FIRST, inventor Segway) show we did recently was also a very memorable one.    Fan Moments Phil said its really motivating when you get feedback from fans of the show. My very first fan engagement was in London, back in the early days of the show. A guy reached out to me asking if he could meet me. We ended up going to a pizza restaurant across the street from the hotel I was staying in. I thought he would be the only one there, but it turns out the whole restaurant was filled with fans of the show. Not too long after that, HP acquired webOS, and I announced that I would be flying to New York. When I got to the hotel at around 2 am, there were almost a dozen people I didn't know waiting in the lobby to talk to me.    The Innovators Network The podcast has grown from an individual podcast to the Innovators Network and is on the Bizz Talk Radio. Can you tell us some history of that? Phil says the Innovators Network was launched around two and a half years ago. We wanted to create a platform allowing up and coming podcasters to get distributed on platforms like iHeart and Spotify. It is a host distributor for innovation podcasts such as Tech.Pinions, Killer Innovations, 5 Miniutes to New Ideas, and Kym McNicholas on Innovation podcast focused on medical-tech innovation. A few years ago we got asked to syndicate the show on Bizz Talk Radio and are now on 63 radio stations in the United States.      Let's connect; I am on LinkedIn, Facebook, Twitter. If we do connect, drop me a note and let me know. The email address is feedback@philmckinney.com or you can go to PhilMcKinney.com and drop me a note there. If you are looking for innovation support go to TheInnovators.Network or want to be challenged to develop the next big idea, check out our Disruptive Ideation Workshops. Don't forget to join our Innovators Community to enjoy more conversations around innovation.

On April 4, 2008, Phil McKinney, Vice President and Chief Technology Officer at Hewlett Packard, delivered the morning keynote speech at the fifth annual Business Alliance Bootcamp for growing companies and entrepreneurs in Washington DC. Creativity Economy What I am going to do today is give you my perspective on some of the economic challenges and also encourage you in thinking differently when working to create value.  Knowledge is becoming a commodity.  If you have a job that can be taught at a University, your skill is at risk and your job is at risk.  The impact of this is everywhere.  Think about the transitions from an agricultural to a manufacturing economy to a knowledge economy.  My argument is that the creative economy is here.  What's the new thing?  The new thing is this creative economy.  In the early 1980's the market value for companies listed on the stock exchanges was concentrated on book value with most company's stock value at 95% book value.  Twenty years later 23% is the average book value.  So, in 20 years a major fundamental shift occurred on how companies get valued.  I would argue that one of the key pieces on the increases of that intangible value is the role of creativity and innovation.  It is the value of ideas.  It is no longer what you can do with your hands or with a machine, it is the ability to continually generate new ideas, new products, and new services.  A lot of companies are unable to do this and as a result, do not survive.  Economic stability going forward is the ability to have ideas being continuously generated from the organization.  Innovation is important, but a lot of companies make the mistake of putting all of the pressure for innovation on their Chief Innovation Officer.  Go out and do a survey.  Eighty six percent of CEO's admit that innovation is key to their business but less than ten percent have any formal process to innovate within their organization. Bringing Back Creativity My strong belief is that creativity is not a gift.  It is not bestowed on people, it is a skill that anybody can learn, practice, and become proficient at.  It ignores age, demographics, education levels, and geography.  It is the ability to put your own thought processes in place, to come up with the next idea, product, or service.  A lot of people are self-pessimistic and are convinced that they do not have it and they are not creative. The fact is that we are creative creatures; we were created to create.  Think about kids and how creative they are with a simple object like a toilet paper roll. The problem is through the process of our education systems and through jobs, we literally beat that creativity out of our people.  How do we bring back that amount of creativity that we see in kids and bring it back to our day to day lives?  We need that ability to take our filters off and see things from an unbiased and different perspective.  I had a conversation with a co-worker many years ago about "old think and new think."  Old think is when you are coming up with an idea and then you put a filter on it and decide to go safe and go with the old way of doing things.  New think is all about breaking perspectives and getting rid of perspectives that confine and restrict us from coming up with new ideas.  The best ideas will sound stupid.  If you are not coming up with stupid ideas, then try harder! FIRE and POE "FIRE" is a very simple method you can apply to come up with ideas. "F" in the acronym "FIRE" stands for focus. How do you bring focus to where you are going to innovate? Pick an area of focus. "I" stands for ideation. How do you generate ideas? Ask better questions. "R" stands for ranking. What is the best idea? I rank through five questions: Will this idea fundamentally change the customer's experience or expectation? Will this change the competitive landscape? Does this fundamentally change the economics of the industry? Do you have a contribution to make? Will this generate sufficient margin? "E" stands for execution. So, what does "POE" stand for?  "POE" is two fundamental skills that you should do each and every day in perspective to "FIRE." "P" stands for perspective. You must be able to change your perspective. Look for the non-obvious. "O" stands for observation skills. Watch how customers buy your products and your competitor's products. Get out there and see how your customer's use your products. Innovation Gap Idea's without execution are hobbies.  People's individual career success is going to be in their own individual ability to participate in the creative economy.  What are you contributing to those intangible values that your company is creating and is going to get a return back from those investors?  Companies are suffering today on a huge innovation gap.  Small businesses are the most prolific patent producers in the entire segment in the U.S.  Small businesses are fourteen times higher than any other segment on the marketplace.  Patents that are highly referenced by other patents or materials are highly valued patents.  If you look at the top one percent of the cited patents today in the U.S. it is two times more likely that it is a small business patent.  That says that the most important innovations that are being created are coming from small businesses.  Companies and economies are going to be dependent on creating an environment where people can bring their creativity skills to create value for the business, create jobs, create economic stability, and put all the economies back on the growth curves.  Thanks for taking the time out of your busy schedule to join us today.  If you have questions or comments on this week's show, I'd love to hear from you.  You can also carry on the conversation with other innovators at The Innovators Community.

When civic and business leaders have a meeting of the minds, amazing things can happen.  Cincinnati is home to several major corporations and health care organizations. The demand is high for tech innovation.  This midwestern city has created a unique approach to draw in the best talent.  Cintrifuse is the confluence of innovation in Cincinnati. Cintrifuse exists through public private partnership.  Its purpose is threefold. It's a startup accelerator and venture capital fund.   It's also the go to source for large companies seeking innovative solutions to their tech problems.  CEO Wendy Lea comes to Cincinnati from Silicon Valley as an expert in digital innovation. [shareable cite="Wendy Lea, CEO Cintrifuse"]To build a sustainable economy, you have to have supply and demand. We're unique in that we have two portfolios of supply for startups and we have an amazing set of large companies with strong appetite for technology innovation.[/shareable] West Coast to Midwest Arriving in the Cincinnati area, it surprised Wendy to find six major healthcare systems in the region.  In addition, there are 140 major companies including Proctor & Gamble that call this area home.  The local government sought economic growth.  The need for cutting edge tech innovation and economic growth brought all these players together.  The perspective from the various communities is distinct from what Wendy's observed in Silicon Valley.  These communities work closely together to tackle regional issues. Their collaborative effort formed Cintrifuse.   Startup versus BigCo Contrary to what one might think, this is not a face off between startup and big companies.  Large companies seek to draw the entrepreneurs, ideas and talent. They are the customers to the startups product or service offering.   Growing the Startup Community Wendy has seen Cintrifuse's portfolio of startups grow 40% year over year.  What started with eleven startups on the Cintrifuse books has grown to 470 startups in the region.  Some startups that come through Cintrifuse's doors are located within the Cincinnati area. Others located elsewhere benefit from Cintrifuse venture capital funds.  The benefits are mutual. The relationships developed allow Cintrifuse to connect startups with large companies seeking tech innovation. To learn more about Cintrifuse, check out cintrifuse.com. Check out The Innovators Network where you can listen to podcasts with Kym McNicholas on Innovation and Killer Innovations with Phil McKinney.

Phil McKinney, author and CEO, joins the Bryan Kramer Show for real talk on what it means to be innovative and how to overcome corporate obstacles to achieve dynamic results. In This Episode Why being innovative means relearning something you used to know How simple questions can lead to powerfully innovative ideas when answered repeatedly Why creating an innovative climate means winning over "corporate antibodies" The challenge of the 90% failure rate How innovation stems from teams rather than individuals Resources Phil McKinney on Twitter, Facebook, LinkedIn, YouTube, and Google+ Killer Innovations Phil McKinney's Blog Beyond The Obvious Gallup Strengths Finder The 22 Immutable Laws of Marketing: Violate Them at Your Own Risk!   Visit BryanKramer.com to hear more Human Conversation.

In this weeks show, Phil McKinney and Kym McNicholas talk about the winners of the technology and innovation competitions held at CES along with an eclectic set of companies and innovations they believe could be winners in 2016. They discuss: Extreme Tech Challenge – one of the largest innovation competitions with more than 3,000 entrants each year, […]