Podcasts about Moat

Freedom feels very different when you have financial breathing room.Without reserves, every business decision becomes more emotional.In this episode of The Level Up Podcast, Paul Alex breaks down why transitioning entrepreneurs need to build a financial moat before walking away from a steady paycheck.When cash is tight, desperation can destroy your positioning.You may lower your prices, accept the wrong clients, or make short-term decisions simply because you need money immediately.A strong reserve gives you options.In this episode, you'll learn:• Why financial pressure can lead to weak business decisions• How cash reserves protect your pricing and negotiating power• Why lifestyle inflation should be avoided during the transition phase• How building several months of runway can create greater confidence and clarityThe truth is simple:Cash creates breathing room.Breathing room creates better decisions.Keep your expenses under control.Stack the reserves.Build a defensive wall around your personal finances before making the leap.When you no longer need every deal just to survive, you can negotiate from strength instead of fear.Build the moat.Protect the cash.Buy your autonomy.Your Network is your NETWORTH!Make sure to add me on all SOCIAL MEDIA PLATFORMS:Instagram: https://jo.my/paulalex2024Facebook: https://jo.my/fbpaulalex2024YouTube: https://www.youtube.com/channel/UCGhDAD1JyGGzSQUPD9lc9HQLinkedIn: https://jo.my/inpaulalex2024Looking for a secondary source of income or want to become an entrepreneur? Check out one of my companies below to see if we can help you:www.CashSwipe.comFREE Copy of my book “Blue to Digital Gold - The New American Dream”www.officialPaulAlex.com

Vivek Vaidya of super{set} joins Nick to discuss AI Cost Structures and Pricing, Proprietary Data Sets That Create Moats, and a Clear Method for Determining Which Problem to Solve First. In this episode we cover: Challenges and Considerations in Selling Companies  Building Companies and the Importance of Selling Ahead  Navigating AI-Native Products and Cost Structures  Valuation and Pricing of AI Companies  Data as a Moat in the AI Era  Distinguishing Between Frontier Labs and Startups  Open Source and Data Security in AI Products Guest Links: Vivek's LinkedIn Vivek's X super{set}'s LinkedIn super{set}'s Website The host of The Full Ratchet is Nick Moran of New Stack Ventures, a venture capital firm committed to investing in founders outside of the Bay Area. We're proud to partner with Ramp, the modern finance automation platform. Book a demo and get $150—no strings attached.   Want to keep up to date with The Full Ratchet? Follow us on social. You can learn more about New Stack Ventures by visiting our LinkedIn and Twitter.

René Saúl spent seven years running an offline agricultural lending business in Mexico before selling it and pouring the proceeds into Kapital, a bet that the future of B2B fintech in Latin America belonged to companies willing to become regulated banks. Today Kapital is the largest B2B fintech in the region, and René is the only founder in the space who has bought not one but two banks, one of the deals agreed to on a napkin.What We CoveredWhy the future of fintech is regulated, and why that was a contrarian call in 2021René's seven years running an offline agricultural lending business in MexicoThe founding thesis behind Kapital's one-stop B2B banking ecosystemHow Mexico's electronic invoicing system became Kapital's underwriting moatThe "red car theory" of spotting opportunities before they arriveBuying Banco Autofin on a napkin, and growing its deposits from $150 million to $400 million in three monthsAcquiring the banking, brokerage and payments assets of Grupo Financiero IntercamBuilding instant, 24/7 cross-border payment rails on top of SWIFTClosing the small business financing gap with AI-native underwritingWhy Mexico is becoming a cornerstone of America's AI manufacturing boomThe limits of banking an economy that still runs largely on cashKapital's growth numbers and its path to a dual listing in New York and MexicoKey TakeawaysMexico's electronic invoicing mandate hands Kapital more than 50,000 data points per customer, a seven-year head start on underwriting that competitors using third-party providers cannot easily close.For large enterprises and cash-strapped SMBs alike, a banking license, not a slicker app, is what earns the trust needed to hold their money and their cash flow.Opportunities have to be hunted, not waited for. Kapital tracked potential bank acquisitions for years so it could move in days when the Autofin deal appeared.Staying liquid and profitable before either acquisition is what let Kapital move fast when the opportunity came, rather than scrambling to raise capital under pressure.About René SaúlRené Saúl is the co-founder and CEO of Kapital, which he built after selling an offline agricultural lending business that financed berry and avocado exporters in Mexico and Peru. Under his leadership, Kapital has grown into a licensed financial group serving more than 300,000 customers across Latin America, with more than $5.3 billion in assets and two bank acquisitions behind it.Connect with Fintech One-on-One:Tweet me @PeterRentonConnect with me on LinkedInFind previous Fintech One-on-One episodes

Fabian Alefeld interviews Brandon Brodie, co-founder and CEO of Annihilator Broadheads, about how an Idaho elk hunt and a lost bull sparked a new broadhead concept sketched by Brandon's future partner Micah. They describe turning the 2D sketch into plastic CAD prototypes via Boise State, a makeshift “wind tunnel” test using Instant Pot steam, and early performance goals of flight, penetration, durability, and lethality. Field and improvised tests (steel drum, long-range accuracy, animal kills) plus third-party fluid dynamics modeling suggested Annihilator's design created unusually large high-pressure and low-tension effects.  After major supply failures with investment casting and metal injection molding - causing shortages, high scrap rates, and lost dealers - Brodie brought manufacturing in-house, adopting metal laser powder bed fusion, improving repeatability and enabling new geometries like the Katana. He outlines ongoing innovation, potential adjacent products, and plans to leverage Annihilator's additive capabilities for partnerships and contract manufacturing. 02:26 Elk Camp Origin 06:43 Sketch to Prototype 11:36 Instant Pot Wind Test 14:44 Performance Pillars 18:41 Steel Drum Proof 22:45 Real Hunt Validation 26:45 Fluid Dynamics Breakthrough 30:41 Engineering Led Marketing 33:32 Manufacturing Growing Pains 34:27 Industry Award Surprise 35:53 COVID Demand Crunch 36:54 Casting Supplier Failures 39:40 MIM Tooling Disaster 42:30 Additive Breakthrough 46:35 Learning Metal Printing 49:55 Repeatability and Materials 52:56 Katana Broadhead Innovation 57:49 Scaling R&D Team 

Amazon says more than 350 million shoppers have used Alexa for shopping over the past year, with active users nearly doubling and customer interactions increasing fivefold. Chris Walton and Jenn Hahn discuss whether Amazon is best positioned to move AI shopping beyond discovery and recommendations into actual purchasing and transactions. ▶️ Watch the full Fast Five episode here: https://youtu.be/VL3Q373gkfY

This week on the Friday Deploy, Ben and Andrew explore Uber's strategy of "rearward deploying" engineers to spread agentic AI workflows into departments like legal and marketing. They also dive into Anthropic making Claude Code's Auto Mode the default, Meta's new on-device Muse Glimmer model, and Tim O'Reilly's case for an open source AI ecosystem. Finally, they break down context engineering for the SDLC and examine new research showing why generalized agent skills outperform personalized ones. Register: Dev Interrupted Presents: The Software Factory RoundtableFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:After starting the tokenmaxxing panic, Uber's CTO is back with a very different AI storyAuto mode is now the default in Claude Code for Pro, Max, and Team plansIntroducing Muse Glimmer: An Open Agentic Model That Runs on Your DeviceWhy Open Source Matters for AIYour SDLC is your context engineeringDo personalized skills help coding agents? An empirical study of developer interaction historiesOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Is the next onchain bull market already taking shape? This week, we unpack Pump's resurgence and Fomo's explosive growth as social trading brings users back onchain. We debate Pump's buybacks and token value, Fomo's social moat, where crypto infrastructure captures value, and whether trading can become social media. Enjoy! TIMESTAMPS: 00:00 Intro00:46 Pump's Bull Case08:24 Are Pump's Revenues Real?13:33 Pump's Buyback Debate23:58 The Best Pump Pair Trade31:19 Fomo's Breakout Growth39:12 Fomo's Social Trading Vision44:17 When Social Trading Becomes Gambling50:03 Get Your DAS Tickets! FOLLOW THE SHOW › 0xResearch – https://x.com/0xResearch › Luke – https://x.com/0xMether › Carlos – https://x.com/0xcarlosg › Shaunda – https://x.com/shaundadevens › Ryan – https://x.com/AvgJoesCrypto › Telegram – https://t.me/+UFFz4z3qyrhhMDYx › Blockworks – https://x.com/Blockworks Check out Blockworks Research today! Research, data, governance, tokenomics, and models – all in one place Blockworks Research: https://www.blockworksresearch.com/ Free Daily Newsletter: https://blockworks.co/newsletter EVENTS › Join us at Digital Asset Summit 2026 Asia October 7th & Digital Asset 2026 London November 10-11th https://blockworks.com/events DISCLAIMER Nothing said on 0xResearch is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only. Any views expressed are opinions, not financial advice. Hosts and guests. mayhold positions in the companies, funds, or projects discussed.

"Send me a text"In this episode, I break down the difference between education that commoditizes you and education that makes you the only reasonable choice, using Seed as the example. How they teach the market why most probiotics fail instead of why probiotics are good, so their education disqualifies the competition instead of growing the category. How they own the language of quality so every comparison quietly tilts in their favor. And how Seed University turned thousands of influencers into a moat that gets stronger the more they scale, rather than a message that gets diluted. I also get honest about the risk of living by the science, because when you build a brand on rigor, critics will hold you to it. Then I give you the exact audit to run on your own content to find out whether you're building a moat or funding a leak. Because supplements are a trust-dependent, skeptical purchase, and education is one of the only ways to earn the sale, which means getting it wrong is uniquely expensive.Learn more about The Supplement Business Accelerator Group at https://creativethirst.com/groupIf you're interested in working with me and my team to improve your supplement business. You can learn more at my website https://creativethirst.comClick here to grab your copy of the Health Supplement Ad Swipe Guide.Discover what really works in funnel marketingNeed help increasing sales on your own? Click hereStuck at $1 - $5M in revenue? Click HereCase Study on how Creative Thirst added over $200,000 for one supplement brand

David Nichols of Loupe explains what actually changed in automation engineering this year, and why control retrofits just got far cheaper.Nearly twenty years into building high performance controls, David Nichols is blunt about what AI did to his business: what used to take six weeks now takes two, and his team ships roughly five times more software per sprint. An engineer dropped the raw documentation from a failing robotic cell into a folder, asked Claude for a state diagram, and got a reverse engineered flow chart in thirty minutes that beat anything the customer had. The error recovery gap causing the downtime was visible right there in the chart. A SASE member handed a model a hundred page ethernet specification and got working code for every function, plus tests, on the first try. That was a six week project. It took a day.The implication is the sharpest part of the conversation. Software rewrites used to be the dumbest thing an engineer could propose, because software was expensive and full of unknowns. That logic has inverted. If a rewrite takes a week and produces better documentation, better tests, and better coverage, then brownfield modernization stops being a risk calculation. His words: open season on old controllers. For an industry sitting on Windows 7 machines and undocumented cells one PC failure away from stopping a line, that is a different economic picture entirely.Vlad walks David through the full project lifecycle, and the answers stay practical. Discovery becomes a context gathering exercise where interview transcripts and a drawer full of legacy PDFs turn into control diagrams and proposals in days. Development becomes worth treating as a real software engineering project, because source control, digital twins, and automated testing are exactly what these models are fluent in. David is equally direct about platforms: the bottleneck in automation was never technical, it is cultural. His analogy is a shop that insists on carburetors because that is what the technicians know. The close tackles the chat's harder questions, including what is left of a software moat once building software is trivial. His book pick is Richard Rhodes and The Making of the Atomic Bomb.About David NicholsDavid Nichols is co-founder of Loupe, a West Coast automation engineering and systems integration company he started in 2007. Loupe does high performance controls work across aerospace, semiconductors, and metal cutting, built largely on the B&R Industrial Automation platform. He also founded SASE, the Society of Automation Software Engineers, a free community of roughly two thousand engineers. This is his fourth appearance on Manufacturing Hub, following episodes 29, 53, and 127.https://loupe.teamTimestamps0:00 Introduction2:45 Loupe, 20 years of controls, and the SASE community8:40 Carburetors in industrial automation: culture, not technology11:20 The ChatGPT moment versus the Claude Code moment20:20 Inside an integrator: six week sprints become two21:30 Reverse engineering a robotic cell in 30 minutes26:10 A 100 page ethernet spec turned into working code in a day27:50 Does this change who gets to be a builder40:40 AI across the project lifecycle from discovery to handoff49:00 How to actually get started, and what to prompt53:20 If software is no longer a moat, what is57:50 Predict the future, career advice, and the book pickReferencesSASE: https://sase.spaceClaude: https://claude.aiClaude Code: https://claude.com/claude-codeSendCutSend: https://sendcutsend.comAcquired Podcast: https://www.acquired.fmAbout Your HostsVladimir Romanov is a co-host of The Manufacturing Hub Podcast and the founder of Joltek, an independent manufacturing and industrial automation consulting firm specializing in modernization strategy, digital transformation, and workforce development. Joltek works with manufacturers and investors to de-risk modernization and build the internal capability to sustain results.Connect with Vlad: https://www.linkedin.com/in/vladromanov/Want to go deeper? Vlad and the team at Joltek have covered related topics here:Control System Modernization Strategy: https://www.joltek.com/blog/control-system-modernization-strategyEdge Computing and AI Value from Manufacturing Data: https://www.joltek.com/blog/edge-computing-ai-value-manufacturing-dataDave Griffith is a co-host of The Manufacturing Hub Podcast and founder of Capelin Solutions, an industrial automation firm helping manufacturers adopt smart manufacturing technology. He brings 15 years of experience in industrial automation and digital transformation.Connect with Dave: https://www.linkedin.com/in/davegriffith23/Subscribe to Manufacturing Hub: https://www.manufacturinghub.liveLinkedIn: https://www.linkedin.com/company/manufacturing-hub-networkYouTube: https://www.youtube.com/@ManufacturingHub

In this latest episode of Limited Supply, Nik gets in the guest seat for a conversation with Ryan Ayala for his show, The Alchemist's Library (https://www.alchemistslibrary.org/). Listen as Nik and Ryan break down why the old moats (distribution, proprietary data, a big audience) don't hold water the way they used to now that small teams are running 20-agent AI stacks and compressing weeks of execution into hours. Nik breaks down why agencies get brutal to run once you cross $200-250K a month, why raising too much money can trap a startup before it's proven anything, and where he is actually seeing opportunity right now in niche agencies and boring Main Street businesses nobody wants to touch. Also, Nik calls it out at the top of the episode...the Ecom Founders Q4 Summit is officially back! Third year running, and it's the biggest one yet. For more information, check out https://ecomfounders.com/pages/q4-summit. Questions on the Q4 Summit, or just want to talk about the episode? DM Nik on Twitter/X (@mrsharma) or email him at nik@nik.co --- Tatari helps brands run TV like a modern performance channel. Unlike most platforms that focus only on programmatic CTV, Tatari gives marketers access to all of TV - linear, streaming, programmatic CTV, and direct publisher inventory - in one platform. By combining premium inventory with transparent reporting and outcome-based measurement, Tatari lets growth teams evaluate TV the same way they evaluate paid search or paid social. The result: more control, better reach, and TV spend that can actually be tied back to business results. Learn more at https://lp.tatari.tv/limited-supply --- Want more DTC advice? Check out the⁠⁠⁠⁠⁠⁠⁠⁠ Limited Supply YouTube page⁠⁠⁠⁠⁠⁠⁠⁠ for more insider tips. And if you're looking for an instant stream of on-demand DTC gold, check out the⁠⁠⁠⁠⁠⁠⁠⁠⁠ Limited Supply Slack Channel⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Nik's most unfiltered, uncensored thoughts. Check out the Nik's ⁠⁠⁠⁠⁠⁠⁠⁠⁠DTC newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Nik on Twitter:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.twitter.com/mrsharma

Jeremy Au joins an episode of The Accidental VC podcast. Hosted by seasoned founders and VCs from ANZ and SEA, this show reveals how unlikely beginnings can lead to extraordinary outcomes. Whether you're building, backing, or just curious—tune in for stories, strategies, and sharp takes from those who've been there.  In this episode, we explore the thought that “Everyone wants a unicorn. But what if that's the wrong goal?” Mohan Belani and Jeremy Au join Milan Reinartz to challenge what founders and investors think they know about building in Southeast Asia, from venture capital and AI to startup exits, global expansion, and the future of entrepreneurship. Support The Accidental VC: https://www.youtube.com/@TheAccidentalVC  Watch, listen or read the full insight at https://www.bravesea.com/blog/stop-chasing-unicorns  BRAVE is Southeast Asia's leading tech podcast, hosted by Jeremy Au. Honest conversations with the region's top founders, investors, and operators on building startups in Southeast Asia. New episodes every week. Subscribe so you never miss one. Listen & Subscribe YouTube (English), YouTube (Bahasa Indonesia), Spotify (English), Spotify (Bahasa Indonesia), Spotify (Chinese), Spotify (Vietnamese), Apple Podcasts Follow BRAVE LinkedIn, X (Twitter), Instagram, TikTok, WhatsApp Follow Jeremy Au LinkedIn, X / Twitter, Instagram, TikTok, Facebook, Threads, Twitch Resources Get transcripts, startup resources & community discussions at www.bravesea.com #VentureCapital #SoutheastAsia #StartupFunding 00:00 Intro 02:44 What 2026 actually looks like in Southeast Asia 07:10 Big problems, small wallets: who in the region can actually pay 10:00 Why a $50 million exit is a real outcome 11:14 Power law investing vs micro private equity 17:13 Block lays off 40% and blames AI 18:43 Is Southeast Asia facing a K-shaped economy? 26:21 Future shock: a Waymo, a Costco chicken and no jobs 27:59 What founders should focus on now 31:03 Moat building in the age of AI 36:48 Quick fire: biggest wins and fails in VC

Welcome to a new episode of ASMR Sleep.In this episode, you will hear the rain in the moat.What sounds would you like to hear next time? Leave a comment in the review

Somewhere along the way, PR research came to mean a survey reverse-engineered to confirm whatever the client had already decided to say. Real research, the slow and expensive kind, stayed with the academics, because nobody on the agency or client side had the hours. So what happens when the cost of doing it right collapses? In this episode of The Trending Communicator, host Dan Nestle sits down with Rich Gallagher, Head of Comms Innovation at Brands2Life, whose answer to that question was to write the code himself. Each of his research reports started as something close to a dare — watch a month of business television, read every business-section story in three national papers, listen to a year of back catalog across 96 podcasts — and each came back with a number worth having, like the 12% of those shows actually built for the privately held companies his clients run. That method is the easy part to admire and the wrong part to copy, and the conversation goes well past it. Rich and Dan get into why curiosity has always been the one non-negotiable trait in a good PR person, and why for the first time there's something like a metric for it. They work through The Rise of Indie Journalism, Rich's study of 32 tech journalists who walked away from traditional mastheads and took their audiences with them. They dig into why generative engine optimization is quietly making niche trade coverage more valuable than a one-line mention in a marquee outlet, and what media relations turns into when it stops being a tier-one scavenger hunt. Rich also shares the app his team built to score World Cup managers on how hard they lean on clichés, and the uncomfortable pattern it surfaced about losing coaches. Listen in and hear about... Making AI watch a month of business television through closed captions The 96-show podcast audit and why only 12% were worth a pitch The Rise of Indie Journalism: 32 reporters, portable audiences, and the opportunity most brands are ignoring Why curiosity finally has something resembling a measurement How GEO is lifting niche and vertical media over marquee one-liners What clichés in a post-match press conference reveal about crisis response Notable Quotes from Rich Gallagher "You watch every single hour of market-day television on the three major business broadcast networks for a month? Like, no, of course not. That's like a Geneva Convention violation to force someone to do that. But now we have tools. You can scrape the closed caption for the hearing impaired and effectively make the AI watch the show." [07:16 → 08:01] "The challenge is you can't read everything all the time. But what if you could? And now that you have AI, you can. We can analyze all these things at a scale that doesn't exist even inside a very big agency, where you can not only make sure you're reading every single business section story that runs that quarter, but reading it with the same eyes." [33:06 → 33:47] "The most important thing for a successful PR person is curiosity. Really being genuinely interested in uncovering what's special about what your clients do. And it's kind of funny, because there's never really been a good metric for curiosity, and now we have it." [40:38 → 41:26] "I don't necessarily subscribe to 'media relations is dead.' But it kind of goes into a chrysalis and emerges as a beautiful butterfly every couple of years." [52:46 → 53:27] Resources and Links Dan Nestle Lilypath | Website The Trending Communicator | Website Communications Trends from Trending Communicators | Dan Nestle's Substack Dan Nestle | LinkedIn Rich Gallagher Brands2Life | Website Rich Gallagher | LinkedIn Princeton Narrative Lab | Website Expected Cliche Tracker | Website The Brands2Life Research Reports The Tech Podcast Opportunity for Privately Held Companies Breaking Through in Broadcast The Rise of Indie Journalism Timestamps 0:00 Intro: real research and its counterfeit cousin 2:33 Two nerds, two girl dads, one Princeton zip code 4:16 The ADP employment report and data a company already had 5:33 Moat, ad spend, and the run-up to 2016 7:16 "Make the AI watch the show" — Breaking Through in Broadcast 10:51 Predictive analytics the hard way: 150 hours, then 30 seconds 13:04 Why the AI policy came before the research 15:16 Three newspapers, three paywalls, three automations 15:57 Testing whether the AI actually read it 17:28 Podcast transcripts and the wild west of captions 19:56 Claude Code, Cowork, and what changed 22:53 Thirty sub-agents that never lose their place 26:06 Where deep research helps and where it stops 29:09 The Tech Podcast Opportunity: 96 shows and the 12% that mattered 31:32 Where the questions come from in the first place 38:13 The human-in-the-loop sandwich 40:38 Curiosity as the differentiator — and finally a metric 43:19 The Rise of Indie Journalism: Substack, Ghost, and Beehiiv 46:20 Velvet Underground economics and portable audiences 49:00 Media relations, dying or molting 55:27 Why GEO makes vertical media solid gold 59:17 Authority when the entity is a person, not a website 1:01:46 The cliché tracker, hot IPO summer, and what's next 1:05:04 Where to find Rich (Notes co-created by Human Dan, Claude, Fireflies, and Riverside) Learn more about your ad choices. Visit megaphone.fm/adchoices

Secrets Of Scotland Yard - Murder At Moat House FarmBecome a supporter of this podcast: https://www.spreaker.com/podcast/harold-s-old-time-radio--4206392/support.

Competitors can damage your margins, poach your best people, outspend you, undercut your prices and introduce technology that makes your current offer irrelevant. Worrying about them, however, is not a strategy. The better response is to build a competitive moat before you desperately need one. That means creating distinctive value, stronger client relationships, better delivery systems and advantages that rivals cannot easily or cheaply reproduce. How Much Attention Should We Pay to Our Competitors? Leaders should understand their competitors clearly, but they should not allow competitors to dictate every business decision. The objective is informed awareness rather than corporate paranoia. The intensity of competition depends on the market. In a commodity sector, price and supply capacity may determine almost everything. In a narrow market with only a few suppliers, gaining market share may be extremely difficult. Currency movements, technological disruption, regulatory changes, capital availability and the loss of key employees can also alter the competitive balance overnight. A rival with hundreds of salespeople may reach far more potential buyers than your team of twenty. A heavily funded newcomer may willingly destroy industry pricing to purchase market share. These threats are real, but constantly reacting to them can pull your organisation away from its own strategy. Do now: Identify the three competitor actions that could most seriously affect your revenue, margins or client retention. Why Is Competing on Price So Dangerous? Price competition is dangerous because a rival with deeper pockets can sustain losses for longer than you can. Once buyers become accustomed to discounted pricing, restoring the previous market rate can be painfully difficult. Many companies spend years building their prices to a sustainable level. Then a new entrant arrives and offers a similar product for substantially less. The newcomer may not need to make an immediate profit. It may be funded by a parent company, private equity, venture capital or profits from another division. This creates a zero-sum battle of winners and losers. Smaller firms often cannot match the discount without destroying their own margins. The answer is not always to become cheaper. It is to make direct price comparison harder by changing the value equation. Instead of allowing an apple-to-apple comparison, create a musk-melon-to-apple comparison. In Japan, premium musk melons command extraordinary prices because buyers perceive them as a completely different category of value. Do now: List the services, expertise, guarantees or outcomes that could move your offer beyond a direct price comparison. What Is a Competitive Moat in Business? A competitive moat is an advantage that protects your clients, revenue and market position from attack by rivals.Strong moats are valuable to buyers and difficult, expensive or time-consuming for competitors to copy. A moat might consist of proprietary technology, trusted relationships, specialist expertise, exclusive distribution, superior service, faster delivery, a powerful brand or a deeply embedded client ecosystem. In business-to-business markets, the moat may be the accumulated trust created through years of reliable execution. The irony is that companies usually need to build these defences while business is going well. Unfortunately, good times create complacency. Leaders are busy serving current demand, employees are fully occupied and there appears to be no urgent reason to invest in protection. That is precisely when the work should begin. Once the crisis arrives, the organisation may lack the time, cash or management attention required to respond properly. Do now: Ask what clients would genuinely miss if your company disappeared tomorrow. Their answers reveal the foundations of your moat. Why Do Companies Wait Until a Crisis to Innovate? Companies delay innovation because the cost and inconvenience are immediate, while the danger of doing nothing appears distant. A crisis suddenly reverses that calculation. Our experience at Dale Carnegie Tokyo Training illustrates the problem. Business was surging during 2018 and 2019. Revenue was strong, demand was high and the organisation was occupied with delivering training. Everything looked pretty peachy. Then Japan confirmed its first COVID-19 case in January 2020. Clients began cancelling scheduled programmes, and the outlook changed dramatically. We had no sufficiently developed moat against the disappearance of face-to-face delivery. Dale Carnegie had conducted virtual training internationally since 2010, but introducing it properly in Japan required curriculum translation, instructor development, producer training and financial investment. Before the pandemic, those barriers encouraged us to dawdle. Once survival was at stake, we found the money, time and determination remarkably quickly. In retrospect, the capability should have been built before the crisis. Do now: Identify one strategic capability your organisation keeps postponing because there is no immediate urgency. How Can a Business Create Value Competitors Cannot Copy? Distinctive value comes from solving client problems more completely, conveniently or reliably than the alternatives. The strongest advantages often combine several modest benefits into one difficult-to-replicate system. Leaders frequently believe they already provide sufficient value. The more useful question is: what additional impact could we create for the buyer? A manufacturer might attach consulting, installation, training or maintenance services to a physical product. A professional services company might add diagnostics, benchmarking, follow-up coaching, digital resources or implementation support. A software provider might reduce risk through stronger onboarding, integration assistance and user education. Some additions will cost money without producing an immediate, separate fee. That does not automatically make them a bad investment. Real moats are expensive. If an advantage is cheap and simple to introduce, competitors will reproduce it quickly. The goal is to provide musk-melon value at an apple price—or at a price only slightly above the apple. Do now: Brainstorm ten ways to save clients time, reduce their costs, lower their risk or improve the quality of their results. Should We Build a Competitive Moat When Business Is Strong? The best time to build a competitive moat is when revenue is healthy, clients are buying and the company still has strategic choices. Waiting until sales collapse removes many of those choices. Good times always feel as though they will continue. They do not. Economic downturns, geopolitical shocks, technological change, new regulations, shifts in buyer behaviour and unexpected competitors can all expose weaknesses that were invisible during periods of growth. This does not mean leaders should become pessimistic or divert unlimited resources into defensive projects. It means allocating regular time and budget to resilience, differentiation and innovation. Executives should examine which revenue streams depend on one client, one delivery method, one salesperson, one supplier or one technology platform. They should also test whether their supposed advantages are truly valuable to clients or merely internal beliefs. Moat building should become part of normal strategy, not an emergency activity launched after the castle is already under attack. Do now: Review your strategic plan and assign an owner, budget and deadline to one moat-building initiative. What Should Leaders Do About Competitors Now? Competitors deserve attention, but obsessing over them will not protect your business. The strongest defence is to become more valuable, more distinctive and more difficult to replace. Study the market, understand emerging threats and watch for changes in price, technology, regulation, talent and client expectations. Then turn the attention back to your own organisation. Ask what you can provide that buyers value and competitors struggle to reproduce. Look for ways to combine products with services, expertise with technology and quality with greater speed or convenience. Most importantly, do not wait for the next crisis. Build the moat while the business is healthy, because the moment when you urgently need protection is usually the worst possible moment to begin constructing it. Author Bio Dr. Greg Story, Ph.D. in Japanese Decision-Making, is President of Dale Carnegie Tokyo Training and an Adjunct Professor at Griffith University. He is a two-time winner of the Dale Carnegie "One Carnegie Award" in 2018 and 2021 and received the Griffith University Business School Outstanding Alumnus Award in 2012. As a Dale Carnegie Master Trainer, Greg is certified to deliver leadership, communication, sales and presentation programmes globally, including Leadership Training for Results. He has written several books, including the best-sellers Japan Business Mastery, Japan Sales Mastery and Japan Presentations Mastery, along with Japan Leadership Mastery and How to Stop Wasting Money on Training. His Japanese-language works include Za Eigyō（ザ営業）, Purezen no Tatsujin（プレゼンの達人）, Torēningu de Okane o Muda ni Suru no wa Yamemashō（トレーニングでお金を無駄にするのはやめましょう）and Gendaiban "Hito o Ugokasu" Rīdā（現代版「人を動かす」リーダー）. Greg also publishes daily business insights on LinkedIn, Facebook and X and hosts six weekly podcasts. On YouTube, he produces The Cutting Edge Japan Business Show, Japan Business Mastery and Japan's Top Business Interviews for executives and professionals seeking practical strategies for succeeding in Japan.

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With Episode 200 coming up, Karl and Erum switch roles and interview each other the way they usually interview their guests. Karl shares why he decided not to become a doctor, how interviewing bands in college taught him to connect with anyone, and what he learned about storytelling during a decade in public relations before starting Messaging Lab. Erum talks about her unexpected path from studying forensic chemistry and working in pharmaceutical labs to executive coaching, joining a startup accelerator on a ship traveling around the world, and working in energy policy from the Navajo Nation to Brussels. They also discuss what waiting tables taught them about sales and humility, why early-stage startups should sometimes stay quiet until they have real traction, and why strong relationships are something AI cannot replace. Along the way, they revisit favorite moments from past guests, including Vishaal Bhuyan, Casey Lardner, Glennis Mehra, Linnea Fletcher, Elizabeth Hénaff, Phil Morle, Michael Specter, and Sabriya Stukes. Their conversation is a reminder that there is no single path into the bioeconomy.Grow Everything brings the bioeconomy to life. Hosts Karl Schmieder and Erum Azeez Khan share stories and speak with the leaders and innovators using biology to change the world. Biology is the world's oldest technology, and it can be engineered. So, what are we growing?Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.messaginglab.com/groweverything⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Chapters:(00:00:00) Karl and Erum interview each other ahead of Episode 200(00:06:45) Erum's experience building a startup at sea with the Unreasonable Institute(00:13:30) Genspace's Break Into Biotech program and lessons from college(00:19:58) Leaving the pharmaceutical lab for positive psychology and executive coaching(00:26:40) What working in restaurants teaches about sales, empathy, and humility(00:33:20) How energy and water policy work with the Navajo Nation shaped Erum's perspective(00:40:02) Why staying quiet can be better than making a big launch announcement for an early-stage biotech company(00:46:31) Michael Specter discusses mistrust in science and the need for greater biology education(00:53:15) Career changes, layoffs, and staying adaptable in the age of AI(00:59:58) Advice for their younger selves and quick-fire questionsLinks and Resources:45. Insuring Your Lunch: Aanika's Vishaal Bhuyan Cracks the Microbial Code of Food Security139. Cultivating a Culture of Cultures? Genspace's Casey Lardner on Community Biotech30. Breaking into Biotech: Linnea Fletcher's Inclusive Education and Workforce Upskilling at InnovATEBIO117. From Lab Coats to CEO Notes: BioLabs' Glennis Mehra on Biotech Business in NYC104. Unseen Worlds: Exploring Environmental Microbiomes and Their Secrets of Human and Climate Impact with Dr. Elizabeth Henaff149. Beyond Capital: Phil Morle of Main Sequence Ventures on Collaboration as the New Competitive Edge44. Spec-Tacular Science: A Chat with Michael Specter on Denying Denialism39. From Microbe to Unicorn: IndieBio's Sabriya Stukes on the Journey of Biotech StartupsAI Value PyramidGrow Everything LinkedInBioInnovations Events - For 25% off use code: Grow EverythingTopics Covered:community biotech, biotech storytelling, biotech founders, biotech communications, life lessons in biotech, biotech careers, science entrepreneurship, biotech media, biotech community building, biotech journeyHave a question or comment? Message us here:Text or Call (804) 505-5553⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠ / ⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠ / ⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠ / ⁠⁠⁠⁠⁠⁠⁠⁠Youtube⁠⁠⁠⁠⁠⁠⁠⁠ / ⁠⁠⁠⁠⁠⁠⁠⁠Grow Everything⁠⁠⁠⁠⁠⁠⁠⁠Music by: Nihilore Production by: Amplafy Media

Databox is an easy-to-use Analytics Platform for growing businesses. We make it easy to centralize and view your entire company's marketing, sales, revenue, and product data in one place, so you always know how you're performing. Learn More About DataboxSubscribe to our newsletter for episode summaries, benchmark data, and moreIn this episode, Rick and Pete break down exactly why: the semantic layer, the metric definitions, and the standardized math that make an AI's answer trustworthy instead of a guess. If you've ever wondered why connecting five random MCP servers to Claude doesn't give you the same results as a purpose-built data layer, this is the episode.What you'll learn:Why raw data connected directly to AI can actively mislead youThe three things a system needs (semantic relationships, metric definitions, consistent statistical math) before AI can safely draw conclusionsReal examples of AI skills built on Databox MCP — sales pulse, content performance partner, weekly growth dashboardWhy "just hook up your MCPs" burns through AI credits without getting you a real answer

Everyone Has the Same AI Tools Now. So where's the Moat?In this episode of Tank Talks, host Matt Cohen sits down with Jacob Jackson, partner at Julian Capital and founder of Deep Checks. A physicist turned SaaS founder turned deep tech investor, Jacob brings a unique perspective on the shifting landscape of venture capital. He shares his personal journey from developing MRI techniques at UBC to founding MedStack, and why he made the full-circle pivot back to backing companies building real, hard technology.Jacob offers a frank assessment of the defensibility crisis in software, explains why AI is democratizing superpowers across every industry, and makes the case that deep tech offers faster exits and higher unicorn density than its reputation suggests. He also breaks down how Julian Capital supports founders with growth and go-to-market muscle, and why the team behind the idea matters more than ever in today's market.Whether you're a founder building hardware, an investor looking for the next generation of venture returns, or just trying to understand where technology is headed, Jacob Jackson delivers the kind of straight talk that cuts through the hype.Why Software's Moat Is Gone (04:00)* Jacob's firsthand experience building MedStack, where Amazon, Google, and Azure built competing products almost overnight* Why the defensibility crisis in SaaS is making it harder than ever for new companies to get off the ground* The shift from competing on product to competing on capital and go-to-marketRedefining Deep Tech: What Everyone Gets Wrong (06:44)* The biggest misconception: that deep tech requires 20-year fund cycles* How SpaceX-style private market liquidity proves milestone-based exits work* Why the hottest sector of the year is never where the biggest company gets seededHow AI Accelerates Hardware Development (08:23)* AI as a democratizing force that makes everything faster and more competitive* From CAD design to patent strategy: how AI is becoming a founder's essential tool* The commoditization of vertical robotics and what it means for defensibilityBuilding Moat in Deep Tech: Talent, Networks, and Network Effects (10:30)* Why network effects and talent density matter more than patents alone* How to pull the “ladder up” behind you as you scale* Incumbents vs. upstarts: why everyone has access to the same tools nowThe Rise of Deep Checks (18:01)* How Deep Checks became the world's largest network of deep tech founders and VCs* The platform that helps founders run a tight, accelerated fundraising process* Over $100 million deployed and 5,000+ founders submitted in just two yearsWhat Jacob Looks for in Founders (24:50)* The 50/50 split between team and idea* Why obsession and speed matter more than business experience* How to spot the founders who will learn to sell, recruit, and negotiateFrontier Tech vs. Deep Tech (29:20)* Why Julian Capital backs “picks and shovels” companies in spaces like fusion and quantum* The importance of market pull and meaningful near-term milestones* Why a 20-year fund cycle makes financial math nearly impossibleThe Data That Surprised Everyone (32:58)* Deep tech exits are 25% faster with more unicorns per dollar invested* Why historical data shows deep tech outperforming software* The role of capital flooding and dilution in venture returnsAbout Jacob JacksonJacob Jackson is a partner at Julian Capital and the founder of Deep Checks, the world's largest network of deep tech founders and VCs. A physicist by training, Jacob pivoted from academic research to founding MedStack, a privacy and security SaaS platform, before returning to his engineering roots as an investor. He now backs founders building hardware and tackling the world's hardest problems. Jacob is known for his data-driven approach, obsession with team quality, and candid takes on the future of venture capital.Connect with Jacob Jackson on LinkedIn: https://www.linkedin.com/in/jonlovekingsett?originalSubdomain=caVisit Julian Capital's website: https://www.julian.capital/Submit to Deep Checks: https://www.deepchecks.vc/Connect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

The  Moose on The Loose helps Canadians to invest with more conviction so they can enjoy their retirement. Today, we look at 4 companies with strong economic moats: Google Costco Visa Microsoft It's all about Dividend growth investing! Subscribe to the best free dividend investing newsletter: https://thedividendguyblog.com/newsletter Get the 20 income products guide for retirees: https://retirementloop.ca/income/

A quarter in the piggy bank has grown into a maze of UTMAs, 529s, custodial Roth IRAs, and the new child investment accounts. Tom and Don sort the options by what the money is actually for—and who keeps control.The 529 emerges as the flexible favorite, especially with its education uses and limited Roth rollover. Then the conversation turns to concentrated factor ETFs, the familiar Bitcoin argument, and whether private markets are really swallowing public investing.The through-line is refreshingly simple: match the account to the goal, favor broad diversification, and resist stories that make investing sound more complicated than it needs to be.00:00 Pshaw, Wordle, and the kid-money maze03:00 UTMAs and UGMAs: control has an expiration date05:34 Why 529 plans remain the flexible favorite09:01 Custodial Roth IRAs and an enormous head start11:15 New child accounts versus the 52916:02 MOAT and COWZ: clever ticker, concentrated portfolio20:48 Bitcoin, volatility, and the meaning of value26:51 Public markets versus the private-market storyQuestions? Comments? Click!

HubSpot lost roughly 75% of its blog traffic to AI search—and grew revenue 19% anyway. Everyone wrote the obituary for content marketing, but the traffic that died was the content HubSpot never had the right to own, and everything built on real authority held. In Episode 4 of the PESO Model® Diagnostic, I break down what survived, what didn't, and how to tell which of your own content is an asset versus exposure—before AI makes the call for you. Take your own PESO Model® Diagnostic: https://spinsucks.com/self-peso-diagnostic/ PESO Model® Certification: https://spinsucks.com/peso-model-certification/ Full article: https://spinsucks.com/communication/peso-model-diagnostic-hubspot

Follow us here: Spotify: https://spoti.fi/2cAY638 homepage: http://www.cosmic-gate.de Facebook: https://www.facebook.com/cosmicgate/ Instagram: https://www.instagram.com/realcosmicgate/ =============================== Episode 641: 01. Something Good & YOTTO - Good Time (Clothes Off) (Extended Mix) [Armada] 02. Beobê - Remains The Same (Extended Mix) [Disconnected] 03. Sven Pulsar - Not The End Of The World (Extended Mix) [Punx Records] 04. David Granha - All That's Left (Extended Mix) [Days Like Nights] 05. Room Service (DE) - Sun Dance (Original Mix) [Future Romance] 06. zaccwithtwocs - Resonating (Extended Mix) [No Place Like Home] 07. Braxton, Lauren L'aimant - Holding On (Icarus Extended Mix) [Colorize] 08. mOat, ALAY & Elliot Chapman - I Can't See Straight (Matador Remix) [Spectrum] 09. Mathame feat. Bonn - Follow (Extended Mix) [Neo/Mathame] 10. Eli & Fur - Ceremony (SCRIPT Remix) [Pias] 11. Cosmic Baby - Loops Of Infinity (Solee Remix) [White Label] 12. MORTEN & David Guetta - La Révolution (Extended Mix) [Future Rave] 13. UMEK - Vibrancy (Kosmo Remix) [1605] 14. Cosmic Gate & Arnej - Sometimes They Come Back For More (Album Mix) [Wake Your Mind]

Len Ward went from a Wall Street trading desk to leading the AI work at Commexis, an AI consulting and product development firm, and he has become a go-to voice for leaders trying to make sense of AI without the hype. In this episode he breaks down why AI is changing the business model itself, not just the speed of the work, and what owners should do about it right now.   Key Discussion Themes: - Why AI moves customers from search and retrieve to solve my problem - The unglamorous first step of AI success, organizing your data - What most CEOs still get wrong about AI, and the cost of missing it - Knowing your worth and charging for outcomes instead of hours - The marketing shift ahead, from brand to agent-to-agent buying   Listener Takeaway: AI is changing how customers find and choose businesses, all the way down to the model itself. Get your data in order, move quickly, and build your business to pilot the tools instead of depending on them.   Connect with Len: Website: https://commexis.com LinkedIn: https://www.linkedin.com/in/lenward/ X (Twitter): https://x.com/lenwardnj   About the Host: Entrepreneur Conundrum is hosted by Virginia Purnell, founder of Distinct Digital Marketing, where she builds human-driven AI systems that help business owners get their time back (and get seen). New episodes every Monday. Work with Virginia: https://www.distinctdigitalmarketing.com LinkedIn: https://www.linkedin.com/in/virginiapurnell   Listen to the Full Episode: https://entrepreneurconundrum.com/lenward

Most companies say they're doing AI. A surprising number are doing very little — and a Chief AI Officer at one of the world's largest automation platforms has the receipts to prove it. Motley Fool analyst Rachel Warren talks with Adam Field, Chief AI Officer at Tungsten Automation — a company serving 25,000 organizations including 40% of the Fortune 100 — about what separates real AI transformation from expensive spin. They get into why most enterprise AI pilots quietly die before they scale, what "boring AI" actually means and why it's the most important signal investors aren't paying attention to, and why the competitive moat that once made legacy software giants unassailable has effectively disappeared overnight. Host: Rachel Warren Guest: Adam Field Producers: Adam Landfair, Lauren Budabin Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

Great marketing can bring customers through the door. Weak operations will send them right back out. In this episode of The Level Up Podcast, Paul Alex breaks down why reliable fulfillment, strong systems, and consistent customer support matter more than flashy campaigns when building a business that lasts. Marketing creates attention. Operations create retention. You can generate thousands of leads, but none of it matters if your onboarding is confusing, your support is slow, or your product fails to deliver the promised result. In this episode, you'll learn: • Why strong marketing cannot compensate for broken fulfillment• How standard operating procedures create a predictable customer experience• Why improving operations can produce better returns than spending more on ads• How precision, speed, and quality control create a competitive advantage The truth is simple: Your competitors can copy your advertisements. They can copy your website. They cannot easily copy a culture built around flawless execution. Build the systems. Strengthen the backend. Serve your customers consistently. The boring details are what protect the brand and secure the profits. Your Network is your NETWORTH! Make sure to add me on all SOCIAL MEDIA PLATFORMS: Instagram: https://jo.my/paulalex2024Facebook: https://jo.my/fbpaulalex2024YouTube: https://www.youtube.com/channel/UCGhDAD1JyGGzSQUPD9lc9HQLinkedIn: https://jo.my/inpaulalex2024 Looking for a secondary source of income or want to become an entrepreneur? Check out one of my companies below to see if we can help you: www.CashSwipe.com FREE Copy of my book “Blue to Digital Gold - The New American Dream”www.officialPaulAlex.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Cliff Sentell co-founded Compass Professional Health Services in Dallas in 2005, where he and two partners each put in $20,000 and bought a single server. They started in healthcare price transparency, reverse-engineering the cost of specific procedures on specific plans out of billions of insurance claims. The first idea, selling to consumers, flopped, because frustrated patients wouldn't pay $20 to $30 a month for guidance they saw as nice-to-have. So they pivoted to employers, who were footing the bill for their workers' poor healthcare decisions, and wrapped the data in a tech-enabled service: an app, "health pros," and a custom CRM. Compass reached about $1 million in revenue in three to four years, grew from $3 million to $10 million fast, and scaled to roughly $30–40 million with 200 employees and Fortune 100 clients, T-Mobile its largest. They turned down growth equity investors to keep control and equity, funding growth off their own balance sheet. In 2018 Alight acquired Compass — mostly cash with a multi-year earnout — and revenue tripled inside Alight within three years. Today Cliff is a partner at Cypress Growth Capital, where he invests non-dilutive capital to help bootstrapped SaaS founders growth faster. The Cypress thesis is simple: in the AI era, industry domain knowledge is the moat, not features. Key Takeaways Sell To Payers — Frustrated consumers won't pay; find the customer whose real problem costs them money. Protect Your Equity — Declining growth equity kept control and made the eventual exit worth multiples more. Exit Isn't The End — After the acquisition, Compass re-found product-market fit and tripled revenue inside Alight. Flexible Beats Restrictive — Royalty funding flexes with cash, avoiding debt covenants and the loss of control equity brings. Outcomes Over Models — Value created, not the recurring-revenue label, now decides whether a company scales. Quote from Cliff Sentel, Partner at Cypress Growth Capital "The biggest thing that's changed now with AI in SaaS is differentiation. If you're really good at something, if you have domain expertise that other people can't do, and you add AI to that, your moat of better knowledge and capabilities gets wider. "That's fundamentally our investment thesis right now at Cypress. Can we find companies that are really good at a very specific domain capability, that have proprietary data, that create the system of action their customers use — feeding that information back into the knowledge set and building the moat wider and wider? "This is a moment where knowledge and expertise are at a premium. Not software, not how much you've built. How much do you know? That's what you're capable of achieving."  Links Cliff Sentell on LinkedIn Cypress Growth Capital on LinkedIn Cypress Growth Capital website Compass Professional Health Services (now Alight) Podcast Sponsor – LaunchBay LaunchBay helps B2B software companies automate client onboarding and implementation so customers activate faster and everyone stays aligned. If your onboarding includes data collection, setup steps, approvals, training, or any level of customization, LaunchBay replaces the messy mix of emails, spreadsheets, and meetings with a clear, all-in-one onboarding system. Teams use LaunchBay to onboard clients faster, stay on top of follow-ups automatically, and deliver a smoother experience, without hiring more people or adding more tools. Visit launchbay.com/practical and get 25% off your first 3 months on any LaunchBay plan. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

Benedict Evans, one of tech's most widely-read analysts, joins Jacob Effron. The conversation centers on Benedict's core thesis that comparing AI's scale to past platform shifts (the internet, mobile, PCs) is analytically useless, and that the more productive move is studying how those previous technologies actually evolved economically to reason about where AI's value will accrue. He argues the one genuine difference this time is that we don't know AI's physical or scientific limits, unlike past shifts where the boundaries were at least knowable, and that this uncertainty is what fuels both AGI hype and doomerism without resolving anything. Benedict unpacks why capabilities remain jagged, meaning usage is jagged too, why coding became the first real enterprise use case thanks to scalable verification, and why most consumer and enterprise use cases still have to be invented by entrepreneurs rather than emerging spontaneously once models improve. He also lays out why foundation model labs may end up structurally like TSMC rather than Windows, valuable but bounded rather than owning the entire stack, walks through why automation has historically meant more work rather than less (using a hundred years of rising accountant headcount as evidence), and explains why industries like Uber and Airbnb, or Caterpillar and the internet, show just how unevenly this kind of technology actually lands. Throughout, he offers candid, historically grounded takes on OpenAI's product sprawl versus Anthropic's narrow coding bet, Apple's stumbled AI moment, and why most companies, unlike Silicon Valley, have far bigger priorities than AI on their minds.   (0:00) Intro (1:31) Is AI Bigger Than the Internet? (10:10) Barriers of Getting From Demos to Daily Use (20:15) Why Job Predictions Fail (25:52) Where's the Moat? (33:55) Will Models Eat the App Layer? (39:25) When Average Isn't Enough and Models Don't Work (45:58) Reflections on OpenAI (55:04) Consumer Usage Is Still Shallow (58:51) What's Required for More Enterprise Adoption (1:03:47) Opinion on Sora (1:06:27) Quickfire With your host: @jacobeffron - Managing Director at Redpoint

Find me on Substack, search for my name.Robert P. Miles is an author, educator, and the world's foremost authority on Berkshire Hathaway's management culture. Robert has written three bestselling books on Warren Buffett, created the only graduate MBA course dedicated to Buffett's philosophies, and founded the Value Investor Conference in Omaha. His journey from an entrepreneur to a globally recognized Buffett scholar began with a single Berkshire annual meeting in 1996 — and Warren Buffett himself has been paying attention ever since.Episode Sponsor: Fiscal AI is a modern data terminal that gives investors instant access to twenty years of financials, earnings transcripts, and extensive segment and KPI data—use my link for a two-week free trial plus 15% off: https://fiscal.ai/talkingbillions/Notes:3:00 – Bob Miles is introduced as the world's foremost Berkshire Hathaway culture scholar, author of three (now four) bestselling Buffett books and creator of the only graduate MBA course on Buffett's philosophies.5:30 – His path began with Napoleon Hill's Think and Grow Rich and a failed high school "movie day" venture. The lesson that stuck: "you got to understand what business you're in."7:23 – His first 1996 annual meeting: Buffett tells a small shareholder, "between you and I we own half the company," and calls Wall Street "the legal pickpocket of the average investor."14:24 – The Dairy Queen story: a self-published "101 Reasons to Own Berkshire Hathaway," a line around the block, and Buffett walking through the door — leading to a two-book deal with Wiley.31:18 – On concentration: Buffett put 65% of his $20,000 net worth into Geico at 19, tied to his "star player" basketball analogy for conviction investing.36:41 – The three unchanging lessons of The Intelligent Investor — stocks are businesses, your partner is a manic-depressive Mr. Market, and margin of safety — because "principles are principles because they don't change."42:59 – A contrarian aside: private equity "has done more harm than good," with the Berkshire system as its inversion.53:43 – On Berkshire's real edge: "I see the moat as cash," the roughly $400 billion war chest that lets Ajit Jain write insurance the day after disasters strike.1:08:58 – On character over credentials: concentrating on admirable traits "there's no cost," regardless of background.1:10:34 – Miles' definition of success: stay humble enough to be taught, and "go to bed a little bit smarter" every day.Podcast Program – Disclosure StatementBlue Infinitas Capital, LLC is a registered investment adviser and the opinions expressed by the Firm's employees and podcast guests on this show are their own and do not reflect the opinions of Blue Infinitas Capital, LLC. All statements and opinions expressed are based upon information considered reliable although it should not be relied upon as such. Any statements or opinions are subject to change without notice.Information presented is for educational purposes only and does not intend to make an offer or solicitation for the sale or purchase of any specific securities, investments, or investment strategies. Investments involve risk and, unless otherwise stated, are not guaranteed.

For the last fifteen years, capital has relentlessly chased digital attention, turning it into a diluted and cheap commodity. The new luxury for consumers and investors alike is the "presence economy," where real-world, in-person experiences are driving unparalleled engagement and spending. With experiential spending up over 30% from pre-pandemic levels, the smartest brands are no longer building better digital vending machines, but rather creating meaningful tables for people to sit at.This episode breaks down the massive shift toward IRL (in real life) business models and why creating physical communities is the ultimate competitive moat. From slashing customer acquisition costs to unlocking new avenues for raising capital, hosting real-world events provides defensibility that competitors cannot simply duplicate. Listeners will learn how to strategically integrate IRL experiences into their existing operations to drive loyalty, retention, and revenue.KEY TOPICS DISCUSSEDThe transition from the digital attention economy to the physical presence economyPost-pandemic experiential consumer spending trends and travel statisticsThe explosive growth of golf demographics and the massive supply gap in physical hospitalityDifferences between transactional digital interactions and relationship-driven business modelsUsing in-person events to drastically lower customer acquisition costsBuilding highly defensible business moats through community and shared experiencesThe role of proximity and shared meals in raising capital and securing partnershipsKEY TAKEAWAYSAttention has become an infinite and cheap commodity, making genuine physical presence the new premium asset for businesses.Experiential spending has surged over 30% compared to pre-pandemic levels, proving consumers are voting with their wallets for real-world connection.A digital screen acts as a forgettable vending machine, while an in-person experience acts as a dinner table that fosters lasting relationships.Hosting intimate, real-world events can outperform months of paid digital traffic by deeply accelerating trust and slashing customer acquisition costs.Competitors can easily copy digital marketing funnels and pricing, but they cannot pirate or replicate the specific feeling of belonging created in a physical room.Meaningful capital is rarely raised through cold outreach; proximity builds the trust required for significant financial transactions and partnerships.CONNECT & TAKE ACTIONImagos Income Fund: Text "INCOME" or "DEALS" to 844-447-1555 to learn more about Matty A's private debt fund targeting 10% fixed returns paid out monthly.

For our cultural predictions roundup back in January, the musician and technologist Trevor McFedries predicted that 2026 was going to be a really good year—professionally speaking—for people with good taste. The jury's still out, but it's definitely turning into a big year for talking about taste. And for the first time in history, the tech world seems to be leading the charge, from engineers penning essays about how “personal taste” is the new moat, to startups promising us more aesthetically discerning AI, to the Palantir chore coat and tech billionaires sitting front row at Fashion Week.To make sense of why taste has become such a Silicon Valley buzzword—and what that tells us about the changing meaning and role of taste more broadly–we brought on Drew Austin, a writer and urban planner who runs the excellent Substack, Kneeling Bus, where he recently penned a piece called “Tastecore and the Enclosure of the Commons.” We discuss Drew's research on the tech world's changing relationship to fashion in the post-pandemic era, the growing epidemic of “tasteslop,” and how the current discourse frames taste as something less about personal distinction and more about gaining a competitive edge. Plus, we tap Pierre Bourdieu to try to parse the evolving function of taste in society over time—and what the tech industry's taste obsession can tell us about the shifting landscape of class and class antagonism.Follow Drew at Kneeling Bus on Substack.Read Drew on taste:“Tastecore and the enclosure of the commons”“Worn out: Tech elites' supposed indifference to fashion is a contempt for the commons” (Real Life)“Here comes a regular: Taste is obsolete & gatekeeping is code for what the internet took from us”“Bots in the beerlight: Sometimes embodiment is all you've really got”“Lo-fi beats for studying: How to push more through the human attention bottleneck”Additional references:“Taste is Eating Silicon Valley” by Anu Atluru (Working Theories)“Personal Taste is the Moat” by Wang Cong“Tasteslop: Notes on technological anxiety” by Emily Segal (Nemesis) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit theculturejournalist.substack.com/subscribe

Dr. Jürgen Schmidhuber, a renowned scientist and AI researcher widely regarded as one of the pioneers in the field, originated key ideas behind today's transformers, LSTMs, and recursive self-improvement through his lab's work. He argues that true AGI remains bottlenecked by physical hardware, that today's AI data center investments are headed for a correction as open-source keeps pace with closed labs, and that the path to general intelligence runs through artificial curiosity and self-generated experimentation rather than internet data. He closes by reconsidering mainstream AI safety arguments and offers a sweeping vision of self-replicating robot societies eventually colonizing the solar system.   (0:00) Intro (1:24) How Close Is Superhuman AI? (2:27) Why ChatGPT Didn't Surprise Him (3:21) The Path to Recursive Self-Improvement (9:01) Will AI Takeoff Feel Sudden? (11:02) Intelligence Means Efficiency (12:32) Advice for Labs: Beyond Human-Biased Data (17:10) Artificial Curiosity and the Theory of Fun (21:33) When Do We Get the AI Scientist? (24:07) AI Chemistry, MOFs, and Carbon Capture (25:04) Robotics Reality Check (28:23) The Data Center Bet: Overbuilt? (31:48) Open Source vs. Closed Labs (34:25) Does Being First to RSI Create a Moat? (38:06) AI Safety and Alignment Skepticism (43:44) Quickfire With your host: @jacobeffron - Managing Director at Redpoint

On this episode of Roofing Road Trips®, Karen Edwards sits down with Gokul Padmanabhan of HS Exit Advisors to unpack what it really takes to build a roofing business that performs even when you are not in the driver's seat. Together they walk through the "Dig a Moat, Build a Castle" framework, exploring owner mindset, financial discipline, revenue per employee and the kind of bold vision that positions your roofing business for a future exit. If you are overworked, burned out and wondering how to turn your roofing company into a healthy, scalable and sellable asset, this conversation is your roadmap.  Learn more at RoofersCoffeeShop.com!  https://www.rooferscoffeeshop.com/   Are you a contractor looking for resources? Become an R-Club Member today! https://www.rooferscoffeeshop.com/rcs-club-sign-up   Sign up for the Week in Roofing!  https://www.rooferscoffeeshop.com/sign-up   Learn more about HS Exit Advisors here! https://www.rooferscoffeeshop.com/directory/hs-exit-advisors  Follow Us!   https://www.facebook.com/rooferscoffeeshop/  https://www.linkedin.com/company/rooferscoffeeshop-com  https://x.com/RoofCoffeeShop  https://www.instagram.com/rooferscoffeeshop/  https://www.youtube.com/channel/UCAQTC5U3FL9M-_wcRiEEyvw  https://www.pinterest.com/rcscom/  https://www.tiktok.com/@rooferscoffeeshop  https://www.rooferscoffeeshop.com/rss  #RoofersCoffeeShop #MetalCoffeeShop #AskARoofer #CoatingsCoffeeShop #RoofingProfessionals #RoofingContractors #RoofingIndustry #HSExitAdvisors, #HSEXITADVISORS

Pat Dorsey is the Founder of Dorsey Asset Management, a $1.7 billion global public equity manager focused on companies with competitive advantages and long investment runways. Pat created Morningstar's moat research framework and led its equity research efforts for a dozen years before launching his firm in 2014. Our conversation covers the nuances of investing in businesses with wide moats across quantitative analysis, switching costs, network effects, brands, management, alignment, capital allocation, and reinvestment runways. We then turn to Pat's application of moat analysis to his investing, including concentration, global scope, position sizing, decision making, and lessons learned. Any leader should see for themselves the benefits of elite coaching. Try ALEX: tryalex.admiredleadership.com. Learn More Follow Ted on Twitter at @tseides or LinkedIn Subscribe to the mailing list Access Transcript with Premium Membership   Editing and post-production work for this episode was provided by The Podcast Consultant (⁠https://thepodcastconsultant.com⁠)

Recommending the wrong whiskey to a loyal customer does not just miss a sale. It breaks trust, and once trust breaks, no amount of personalization copy fixes it. Recorded live at K:LDN 2026 in London, this conversation is about the thing every brand now has in common. Everyone has access to the same AI tools. So what actually separates the brands winning with them from the ones just using them? Phillip Jackson sits down with Jake Cohen, VP of Insights at Klaviyo, and Tim Martin-Harvey, Head of Ecommerce at The Bottle Club, a UK multi-brand alcohol retailer carrying roughly 9,500 products. Their answer: memory. Not the AI kind, the brand kind… meaning the stored, structured context a business builds about its own customers and products over time. Tim explains how one mandatory checkout question, asking whether an order is a gift, for self-consumption, for hosting, or for trade, reshaped his customer insight and exposed why standard RFM and lifetime value metrics break down across different buyer types. Jake widens the lens, arguing that loyalty is better measured through engagement across touchpoints than through money spent, and that the brands seeing real gains from AI are the ones writing customer and product knowledge down as reusable context, what Klaviyo calls "artifacts." The conversation gets specific fast, down to the exact wrong recommendation that can cost a brand its credibility, and closes with Jake's straightforward plan for putting this into practice over the next 90 days. What you'll learn Why context, not performance marketing spend, is becoming the real competitive moat as every brand adopts the same AI tools How one checkout question corrected years of wrong assumptions about who buys and why at The Bottle Club Why standard RFM and lifetime value segmentation breaks down once you separate gift buyers from self-consumption buyers Why loyalty is better read through engagement than through total spend The exact kind of recommendation mistake that destroys customer trust, and how layered product data prevents it Jake Cohen's 30/60/90 day plan for building AI context that compounds over time Key takeaways As every brand uses the same AI tools, the real differentiator becomes stored context, meaning written detail about the brand, the customer, and the products, what Klaviyo calls "artifacts." The Bottle Club added one mandatory checkout question (gift, self-consumption, hosting, or trade), which corrected wrong assumptions about which products are gifts and showed that standard RFM and lifetime value metrics break down across different buyer types. Loyalty reads better through engagement across touchpoints than through money spent. The goal is asking the right questions instead of pushing a discount, then building context on each customer over time. Recommendations get dramatically stronger when product data (margin, weeks of cover, gift versus self-consumption, category nuance) is layered onto customer data. Recommend a Jack Daniels to a lifelong Jameson drinker and you have made, in Tim's own framing, the worst recommendation possible, one that costs more than the sale. Jake's plan: set up a service agent and build its skills first, then use Composer to explore your data and test ideas, then keep improving the skills as you learn, since the value compounds over time. Pull quotes "The word of the moment to me is actually context, and that context, if you can store it effectively and leverage it effectively, is the way that you can create a moat, because you can serve more people more personally, more memorably, which will create deeper relationships and, of course, more durable business over time." — Jake Cohen, VP of Insights, Klaviyo [2:08 to 3:04] "What starts to become very important in the world of AI post LLMs is that the most important thing a brand can do is show up for someone the way that they need when they need it." — Jake Cohen [9:09] "I genuinely think Klaviyo agent makes the most sense to be the agentic storefront, and that's not just me Klaviyo championing it. It's genuinely got the most context from multiple sources." — Tim Martin-Harvey, Head of Ecommerce, The Bottle Club [18:49 to 19:48] "The answer should not be, 'Great, here's 10% off, go buy one.' The answer should be, 'How long are you running? Do you have a color you're interested in? Do you have a race coming up?' As you start to collect that information, that helps build the context for that individual, and they become the type of customer that will stay with you for a lifetime." — Jake Cohen [10:26] Chapters 0:00 Cold open and introductions 4:45 Memory is the new moat, why context beats tools 8:00 The checkout question that rewrote The Bottle Club's customer data 9:15 Why RFM analysis breaks down across buyer types 10:40 Showing up for the customer the way they need, when they need it 12:15 The running shoe example, questions over discounts 19:08 The whiskey mistake, the worst recommendation in retail 20:38 Why Klaviyo believes it can power the agentic storefront 21:18 Jake's plan for the next 90 days In-Show Mentions: The Bottle Club Learn more about Klaviyo's Composer Associated Links: Check out Future Commerce on YouTube Check out Future Commerce Plus for exclusive content and save on merch and print Subscribe to Insiders and The Senses to read more about what we are witnessing in the commerce world Listen to our other episodes of Future Commerce Have any questions or comments about the show? Let us know on futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What happens to product leadership when anyone in the company can build? In this episode of Product Talk hosted by Digitalzone CPO Sonjoy Ganguly, Brainlabs CPO Adam Edwards will be speaking on how AI is eroding the technical moat and elevating judgment and scalability as the new competitive advantages for product leaders. He also shares how his team built a triad governance structure to democratize AI-building across a thousand-person ad agency without losing control of quality or client outcomes.

The boys are back with episode 72, where Rory Flynn and Drew Brucker attempt to discuss AI like serious adults. Yeah, that didn't work. They immediately detour into Figma Config, Waymo trust issues, Invisalign lisp watch, and the quiet horror of paying for AI models that may or may not be getting nerfed behind the curtain.This one gets into the big question creative teams keep circling: is taste still a moat in the AI era? Drew and Rory break down why “taste as a moat” is getting shakier, what types of taste are actually durable, and why timing, novelty, cultural awareness, editorial judgment, brand systems, and compounding context may matter more than ever.They also dig into Claude Fable, government access to stronger AI models, the widening gap between public and private model capability, Figma's new AI workflows, Weavy integration, Adobe Firefly Foundry, Disney's custom AI model deal, and Midjourney's V8.2 preview, texture upgrades, editing roadmap, and secret search tricks.---⏱️ Fast Hour00:00 The boys are back00:11 Rory recaps Figma Config03:13 Rory tries Waymo for the first time08:52 The algorithm ding09:59 Invisalign enters the chat10:41 Claude Fable returns nerfed13:32 AI regulation gets messy18:44 AI tools and IP risk22:33 Taste as a moat gets challenged25:02 Breaking down types of taste27:40 Timing, novelty, and AI trends29:53 Trend cycles hit warp speed31:12 AI slop can damage brands34:45 Vintage aesthetics and timing38:37 Taste needs systems now40:14 Evolving visual taste43:19 South Park and imperfect taste45:55 Figma updates and custom tools52:39 Shaders, motion, and Weavy56:01 Retention beats acquisition01:00:59 Adobe Firefly Foundry01:02:25 Disney enters custom AI models01:03:34 The custom model problem01:07:09 Midjourney preview mode01:08:18 Midjourney V8.2 texture and skin detail01:16:13 Midjourney V9 training and web redesign01:16:43 Midjourney editing roadmap01:21:34 Secret search tip01:23:03 Broken toes and podcast lore01:25:14 Listener shoutouts01:27:13 Subscribe, hype, tell a mechanic#FastHours #ArtificialIntelligence #AI #AICreative #GenerativeAI #AIArt #Midjourney #ClaudeAI #AdobeFirefly #Figma #Weavy #AITools #BrandStrategy #CreativeAI #AIWorkflow

In July 2010, the North East of England became the focus of one of the largest and most extraordinary police manhunts in modern British history. What began with a violent attack linked to the breakdown of a relationship quickly escalated into a nationwide search involving armed officers, helicopters, police dogs and roadblocks, as an armed fugitive evaded capture for almost a week. Millions followed the unfolding events live on television, with each new development leaving communities across Northumberland and Tyne and Wear wondering where he would strike next.At the centre of the case was 37-year-old Raoul Moat, a former nightclub doorman and tree surgeon from Newcastle upon Tyne. In this episode of British Murders with Stuart Blues, we examine the events that led to the 2010 Raoul Moat manhunt, exploring his troubled upbringing, his abusive relationship with Samantha Stobbart, and the chain of decisions that culminated in one of the UK's most infamous criminal investigations. Along the way, we remember the innocent people whose lives were forever changed, including Chris Brown and PC David Rathband.We also look at the unprecedented police operation that unfolded across the North East, the role played by Moat's accomplices Karl Ness and Qhuram Awan, the bizarre appearance of Paul Gascoigne during the final siege, the public reaction that followed, and the lasting legacy of a case that continues to be discussed more than a decade later. Rather than focusing solely on the man at the centre of the headlines, this episode remembers the victims, examines the wider impact of domestic abuse, and reflects on how a story that is often reduced to internet memes left real families carrying unimaginable loss.Exclusive content:Patreon - Ad Free, Early Access, Exclusive EpisodesFollow the show:British Murders with Stuart BluesDisclaimer:The case discussed in this podcast episode is real and represents the worst day in many people's lives. I aim to cover such stories with a victim-focused approach, using information from publicly available sources. While I strive for accuracy, some details may vary depending on the sources used. Due to the nature of the content, listener discretion is advised. Thank you for your understanding and support. Hosted on Acast. See acast.com/privacy for more information.

Kyle Grieve and Shawn O'Malley analyze American Tower, the global cell tower business that powers the wireless networks we rely on every day. They unpack how leasing tower space to carriers creates durable recurring revenue, why its stacked competitive advantages form one of the widest moats in the market, and how a steadily growing debt load complicates the picture. IN THIS EPISODE YOU'LL LEARN: (00:00:00) Intro (00:00:44) How American Tower powers the wireless networks we use (00:05:52) How AMT creates recurring revenue (00:07:04) Why adding additional tenants dramatically boosts profits per tower (00:12:56) The three moats protecting American Tower from competitors (00:30:22) Why the REIT structure forces heavy reliance on debt (00:36:56) What American Tower's capital allocation reveals about management (00:38:36) Whether the data center deal was worth it (00:52:19) How carrier consolidation threatens even the widest moats (00:56:22) Why a wonderful business isn't always a wonderful investment (01:06:48) Intrinsic value of AMT (01:09:04) Whether Kyle and Shawn will add AMT to the Intrinsic Value Portfolio Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Join the exclusive ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Mastermind Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Track ⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Portfolio⁠⁠⁠⁠⁠⁠⁠. Brad Jacob's first book, ⁠⁠How to Make A Few Billion Dollars⁠⁠. Brad Jacob's follow-up book, ⁠⁠How to Make A Few More Billion Dollars⁠⁠. Listen to Brad Jacob's ⁠⁠interview with David Senra⁠⁠. Follow Kyle on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Linkedin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow Shawn on ⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠Linkedin⁠⁠⁠⁠⁠⁠⁠⁠. Ad-free episodes on our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium Feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Get smarter about valuing businesses through ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Investor's Podcast Starter Packs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try our tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. SPONSORS Support our free podcast by supporting our ⁠⁠⁠⁠⁠sponsors⁠⁠⁠⁠⁠: ⁠⁠⁠⁠Fiscal.AI⁠⁠⁠⁠ References to any third-party products, services, or advertisers do not constitute endorsements, and The Investor's Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm

Burden Today or a Moat for Tomorrow.On the Avory Around the Desk podcast, Sean Emory of Avory & Company discusses why Meta may be misunderstood despite being the cheapest of the Mag 7, the second-fastest grower behind Nvidia, and having the highest gross margins in the group. He frames the key debate around whether Meta's aggressive AI and infrastructure CapEx is a near-term free cash flow burden or a long-term competitive moat, arguing AI is directly strengthening Meta's core ad business through better recommendations, engagement, and advertiser ROI. Sean highlights Zuckerberg's capital-allocation track record, Meta's distribution advantage across 3.56B users, and under-monetized assets like WhatsApp, Threads, and Meta AI. He outlines what to watch next, including signals of CapEx plateauing, revenue momentum, monetization progress, and risks such as a potential equity raise.00:00 Meta Debate Setup02:19 Six Questions Roadmap03:11 Quick Disclaimer03:41 Dont Bet Against Zuck05:38 What Market Misses10:00 Why Track Record Matters14:03 Distribution Flywheel16:54 CapEx Burden Or Moat22:53 Free Cash Flow Path24:36 What Were Watching27:12 Valuation Discipline28:01 Wrap Up And Next StepsHosted bySean EmoryFounder & Chief Investment OfficerAvory & Co.Websitewww.avory.xyzDisclaimerThis presentation is for informational purposes only and does not constitute an offer, recommendation, or solicitation to buy or sell any security. Past performance is not indicative of future results. All opinions expressed are as of the date of recording and are subject to change without notice. Any securities discussed may or may not remain in the portfolio. Please consult with a licensed financial advisor before making any investment decisions.© 2026 Avory & Co. All rights reserved.

Kyle Grieve and Shawn O'Malley analyze American Tower, the global cell tower business that powers the wireless networks we rely on every day. They unpack how leasing tower space to carriers creates durable recurring revenue, why its stacked competitive advantages form one of the widest moats in the market, and how a steadily growing debt load complicates the picture. IN THIS EPISODE YOU'LL LEARN: (00:00:00) Intro (00:01:51) How American Tower powers the wireless networks we use (00:06:21) How AMT creates recurring revenue (00:08:09) Why adding additional tenants dramatically boosts profits per tower (00:13:57) The three moats protecting American Tower from competitors (00:32:13) Why the REIT structure forces heavy reliance on debt (00:38:46) What American Tower's capital allocation reveals about management (00:40:22) Whether the data center deal was worth it (00:57:33) How carrier consolidation threatens even the widest moats (01:01:30) Why a wonderful business isn't always a wonderful investment (01:11:35) Intrinsic value of AMT (01:13:52) Whether Kyle and Shawn will add AMT to the Intrinsic Value Portfolio Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Join the exclusive ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Mastermind Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Track ⁠⁠⁠⁠⁠⁠The Intrinsic Value Portfolio⁠⁠⁠⁠⁠⁠. Brad Jacob's first book, ⁠How to Make A Few Billion Dollars⁠. Brad Jacob's follow-up book, ⁠How to Make A Few More Billion Dollars⁠. Listen to Brad Jacob's ⁠interview with David Senra⁠. Follow Kyle on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Linkedin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow Shawn on ⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠Linkedin⁠⁠⁠⁠⁠⁠⁠. Ad-free episodes on our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium Feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Get smarter about valuing businesses through ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Investor's Podcast Starter Packs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try our tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. SPONSORS Support our free podcast by supporting our ⁠⁠⁠⁠sponsors⁠⁠⁠⁠: ⁠⁠Plus500⁠⁠ ⁠⁠Netsuite⁠⁠ ⁠⁠Vanta⁠⁠ ⁠⁠Shopify⁠⁠ References to any third-party products, services, or advertisers do not constitute endorsements, and The Investor's Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm

Everyone is racing to the same place chasing a limited set of buyers—how will your “AI for BI” product stand out? I've been seeing teams heavily invest in copilots, agents, semantic layers, governance frameworks, and increasingly sophisticated models, yet many still hear the same feedback from sales prospects: “We may just build this ourselves?" Or they don't hear it, but suspect the customer is doing just that.  Whether they actually can DIY the solution is the wrong question. The bigger question is *why they believe they can.* Your product may have a genuine competitive advantage, but your real challenge is that this advantage isn't obvious to buyers. The moat exists, but it is invisible. What makes this relevant is that many capabilities once considered differentiators are rapidly becoming normalized. AI copilots, agentic analytics, governed data, semantic layers, and broad integrations now appear across nearly every platform in the category. As AI accelerates development, sophisticated engineering alone becomes harder to defend as a lasting advantage. So what actually creates a durable moat if the engineering and product seems easy to copy? I explore four areas: proprietary data, trusted relationships, and products that accumulate institutional knowledge remain difficult to replicate. And finally, user experience itself as a strategy. As users increasingly access your intelligence through AI agents rather than dashboards, their experience may become the moat that competitors can't copy. Highlights / Skip to: AI for BI and analytics products is facing a race to commoditization (2:09) Common moats that everyone is using right now and why they fail (3:28) Proprietary data as a moat (9:29) Being embedded in your community as a moat (11:14) Compounding institutional knowledge as a moat (15:22) UX design asa moat even when there is little/no UI to see (18:36) Find the baseline for customer experience to build into later strategies (25:11) Actionable questions to ask your team to move forward on finding your competitive differentiation as a B2B analytics product (28:02)   Links CED: A UX Framework for Designing Analytics Tools That Drive Decision Making

Nikesh Arora is the Chairman and CEO of Palo Alto Networks, the global cybersecurity leader. Since taking over in 2018, he has transformed the company from an $18 billion market cap business into one worth more than $225BN with more than 21,000 employees globally. Previously, Nikesh was President and COO of SoftBank, where he worked alongside Masayoshi Son and helped shape the firm's technology investment strategy.  AGENDA: 00:00 Why AI Token Prices Will Fall 90% — And Why That's Bullish for AI 07:40 The Frontier Model Problem: Breadth vs Depth in AI 11:30 Most Enterprises Are Using AI Completely Wrong 13:10 Why AI Could Cut Marketing, HR & Finance Teams in Half 16:00 AI Applications Will Have Opinions — SaaS Never Did 20:00 OpenAI, Anthropic & The Most Important Valuation Question in Tech 24:00 The Real Business Model of AI: Transaction Revenue Beats Advertising 25:10 Why Token Prices Must Collapse 28:20 Where Value Actually Accrues in AI: Models, Memory or Apps? 29:00 Why Memory Becomes the Biggest Moat in AI 32:00 Why Every Enterprise Should Be Scared Right Now 33:15 Should Governments Regulate Frontier AI Models? 37:10 Why Brian Armstrong's AI-First Playbook Doesn't Work Everywhere 40:00 The Biggest AI Mistake CEOs Are Making Today 42:00 How Nikesh Creates Darwinian Competition Inside Palo Alto 43:00 Do AI Companies Really Need Forward-Deployed Engineers? 45:00 Why Enterprise AI Products Still Aren't Ready 52:00 Systems of Record vs Systems of Intelligence: The Future of Software 54:00 Why AI Applications Will Replace Traditional SaaS Workflows 58:00 What Nikesh Learned From Google That Still Matters Today 1:04:00 From $200 and Two Suitcases to Running a $225B Company 1:10:00 Happiness, Gratitude and Why Tomorrow Matters More Than Ten Years From Now    

This week, Ben Jones and Karl Floersch join the show to discuss what happened to the L2s. We take a deep dive into Optimism's new strategy for 2026, the current state of Ethereum, why companies need to launch a chain, having a token, and more. Enjoy! -- Follow Karl: https://x.com/karl_dot_tech Follow Ben: https://x.com/ben_chain Follow Jason: https://x.com/JasonYanowitz Follow Empire: https://x.com/theempirepod -- Robots will soon outnumber humans onchain. peaqOS turns them into a new trusted liquid asset class, with yield tied to real-world workloads. It gives robots all they need to do business on any chain — and lets humans earn from automation. Explore the Machine Economy: https://peaq.xyz -- Timestamps: (00:00) Introduction (03:43) What L2s Got Right vs Wrong (12:46) peaq Ad (13:42) Optimism's Strategy in 2026 (32:36) What's Optimism's Moat? (40:02) Who Needs To Build a Chain? (51:20) The Current State of Ethereum (59:39) Launching a Token (01:03:10) What Defines Success in Crypto? -- Disclaimer: Nothing said on Empire is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Santiago, Jason, Rob and our guests may hold positions in the companies, funds, or projects discussed.

What happens when the cost of building software trends toward zero? When anyone can ship anything at any time, code stops being the competitive advantage. In this episode of the CPO Rising series, hosted by CentralSquare Technologies CPO Denise Hemke, Vercel CPO Tom Occhino speaks on what the moat actually looks like in an AI native world, why he shifted from roadmap curator to market interpreter and narrative builder, and what it took to build a culture where reliability and innovation do not fight each other but feed each other. From inventing Facebook mentions to creating React to scaling Vercel's self-driving infrastructure, Tom brings a rare engineering-first perspective on what product leadership is becoming.

Products can be copied. Service is much harder to steal. In this episode of The Level Up Podcast, Paul Alex breaks down why customer experience is one of the strongest moats a business can build. Let's be real… A competitor can copy your offer. They can copy your pricing. They can copy your software. They can even copy your marketing. But they cannot easily copy the way your company makes clients feel. In this episode, you'll learn: Why product features alone are not enough to protect your business How poor client experience destroys retention Why onboarding and fulfillment are where loyalty is built How elite service turns clients into referrals, defenders, and long-term believers The truth is simple: Your moat is not just what you sell. It is how you serve. If clients feel abandoned after they pay… They will leave the second another shiny offer appears. But if they feel supported… Heard… Protected… And genuinely taken care of… They will stay. They will refer. They will defend your brand. High-level operators do not just chase new leads. They pour into the clients they already have. They communicate fast. They solve problems quickly. They create trust through every interaction. Because elite fulfillment is the ultimate retention tool. Out care the competition. Serve at the highest level. Build the moat. And keep leveling up. Your Network is your NETWORTH! Make sure to add me on all SOCIAL MEDIA PLATFORMS: Instagram: https://jo.my/paulalex2024Facebook: https://jo.my/fbpaulalex2024YouTube: https://www.youtube.com/channel/UCGhDAD1JyGGzSQUPD9lc9HQLinkedIn: https://jo.my/inpaulalex2024 Looking for a secondary source of income or want to become an entrepreneur? Check out one of my companies below to see if we can help you: www.CashSwipe.com FREE Copy of my book “Blue to Digital Gold - The New American Dream”www.officialPaulAlex.com Learn more about your ad choices. Visit megaphone.fm/adchoices

I just sat my first open book exam, the format where you’re allowed to bring your notes. You can even bring the physical textbook if you want, a testing format that was totally new to me. Should be easy, right? That’s what your tricky examiners want you to think. And I know not to fall for it. I have a PhD in Humanities, two MA degrees and taught at three universities around the world. During my years of teaching, I wrote, administered and graded more exams and assignments than I can count. Now, back in school as I near my 50s, I’m working on a second Bachelor’s degree. This time in law so I can develop an exact understanding for what law memorization is all about. For my first exam, I scored “High Distinction.” That’s the top grade here in Australia. But here’s something to consider that probably no one else will tell you about open book exams: There was one question I got wrong. And it wasn’t even the one I thought I’d missed. This “error” suggests that having the textbook wouldn’t have saved me even if I’d brought it with me. No, the problem was caused by the open book format itself. In this experience-based guide, I’ll show you what this kind of exam actually tests, and how to prepare properly. That way you can avoid the same recycled study advice just about everyone else gives online. https://youtu.be/_orag2IBwbA What an Open Book Exam Actually Tests (It Isn’t What Most Guides Tell You) First, I have to tell you that I was initially surprised that open book testing exists in law school at all. Especially since to pay for my earlier university studies I took some high-stakes exams for jobs I worked to help pay my tuition at York University. For example, I worked as a store detective and having open book testing for the required security guard license would have been absurd. No employer wants a guard who needs to flip through a textbook to determine whether or not they’ve witnessed a crime, after all. But now that I’ve taken my first exam of this type, I’m fascinated and did some research on why such tests are administered in the first place. In this study, researchers Ming-Yin Chan and Kwok-Wai Mui reveal that open book examinations have existed since at least the 1930s. Using my university library access, I found one such early study in the Journal of Higher Education from March, 1934. As John and Ruth Stalnaker argue in Open-Book Examinations, such testing has many positives: Emphasis falls on the course objectives Students utilize facts to solve problems Inference skills are exercised More time tends to be spent by students on preparation rather than cramming They predict that these kinds of tests will be more widely used in the future and encourage more research into the best kinds of questions suited to this format. Are the questions suitable to the format of studying law? Now that I’ve sat for a couple, I think so. After all, law is the field where getting even just one section number wrong could change the outcome of a case. That means this kind of testing is only partially about testing recall. It’s more about determining whether you can read with precision and work with the exact information as worded on a variety of source materials while the clock is ticking. Twenty Questions, Sixty Minutes, and No Authentic Way to “Look Things Up” So there I was at my laptop, the entire device reduced to just one screen by a lockdown browser called Respondus. My first exam was for a course called “Legal Institutions and Processes.” It is heavy on history and legislation. The first few weeks involved a ton of dense reading from multiple textbooks and a legal dictionary. This is the kind of reading I really haven’t done since I changed my major from Political Science to English during the second year of my first undergraduate degree. Although I had dreamed at my naive young age of one day becoming the Prime Minister of Canada, I changed my mind that year after interviewing the premier of British Columbia for the student newspaper. He clearly lied in response to my question and I determined right then that I was never going to be anything like him. Anyhow, do the math with me. Twenty questions during an hour-long exam gives you three minutes per question. During that time, you need to Read each question carefully Check your answers Fight off all kinds of urges and fidgety feelings that arise when you’re trapped And due to how the lockdown browser software works, I was literally trapped. The rules dictated that I could not leave the computer until I ended the session or the time ran out. The Practical Reality of Flipping Through Notes If you’ve never sat for an exam like this, ask yourself: How much time can you really afford to spend flipping through fifty pages of notes looking for an answer you don’t know? There’s no cookie-cutter answer here, but without preparation, the answer may as well be “zero.” The research agrees. In a 2024 study involving 112 open book and 83 closed book cognitive psychology students, the open book group scored higher. However, they also took longer to finish their exams. One way to interpret these research findings is that having access to your textbook increases your accuracy. But at what price in a world where time is your scarcest resource? How Long Did I Spend? As a time-poor entrepreneur with lots of polymathic projects on the go, I finished my first open book test in approximately thirty minutes. But needing the time to do other things was only part of the reason. A lot of the questions I was able to answer simply by using critical thinking, a skill I taught at university as a professor myself for four years. If you’re interested, here’s a list of my favorite critical thinking books. But the real reason I finished early is because I took the exam without a textbook. And that means for me, it wasn’t an open book situation at all. At least not in the normal sense. Here’s what I mean: My Notes-Only Experiment: Testing Digital Amnesia Under Exam Conditions Years ago, I wrote about a condition the Kaspersky Lab researchers called “digital amnesia.” In brief, your mind blanks out when trying to access information because you’ve stored it on a device you trust instead of in your head. Back then, I argued that every time you reach for a search engine instead of pausing to ask your own memory first, you deskill it. This is not unlike the way your muscles droop when you stop performing pushups. Here’s my original digital amnesia article if you’re interested. Anyhow, I don’t know if I’ll take more advanced law school courses without buying the physical textbooks. But for this exam, I took it as my chance to run a more high-stakes experiment with digital amnesia than I’d ever tried before. Did I have to experiment under proctored conditions, with a grade attached? Of course. Because real test conditions matter. And all the more so in the age of Artificial Intelligence, which challenges many aspects of mind and memory as I’ve previously written about in the context of learning. Let me take you a bit deeper behind the scenes. Because if you know my work with the Magnetic Memory Method, you’ve probably seen me with books frequently. And it can be confusing to suddenly hear that I decided to study 100% online. Why I Refused to Buy the Course Textbooks on Purpose Two reasons. First, I’ve said it on the Magnetic Memory Method Podcast for years: I don’t memorize well from screens. In fact, 3x USA memory champion John Graham and I have talked about this “problem” of mine on more than one of our podcast conversations. I’m not alone with this problem. Some researchers even have a name for people who forget what they read from digital devices: the screen inferiority effect. Pablo Delgado and his research team probably gave away the best advice about how to handle the fact that we forget what we read from screens. They gave the solution away in the title of their 2018 Educational Research Review meta-analysis, “Don’t throw away your printed books.” Don’t throw print away indeed. Even some of the most pro-digital people I know follow this advice. For example, Andrew Mayne, host of the OpenAI podcast has been on my podcast to talk about how and why he still uses print journals and physical notebooks as part of training his memory. Second, I made this choice to dimensionalize my work on Peter of Ravenna, the 15th-century jurist who wrote about his legendary memory techniques. In my imagination, he wouldn’t have bought the textbooks either. All of which is to say that I knew what I was getting into when I made the deliberate choice to forgo ordering any of the physical textbooks for my first trimester of law school. But when I learned that my first test settings were going to be open book? I immediately had to reconsider my approach. And handle a frustration I faced with a contradiction in terms. The Unprintable Textbook Problem The assigned textbook, Laying Down the Law, is available through the university’s online library. But they’ve offered it in a digital format that makes printing individual chapters impossible. This means that a student who can’t afford the print edition, or doesn’t want to study from print, has exactly one permitted way to use the textbook: effective note taking. Could I have opened the library copy on a second computer during the exam? Technically, perhaps. But the rules make clear that accessing any secondary device counts as cheating. So I showed up to the test prepared with my handwritten textbook notes instead. I also prepared my own version of the lecture slides to make sure I could refer to them if needed. This required a couple of steps: Download them from the online course platform Upload them into Google Slides Export them as text files Edit the text into useful notes in a Google Doc Supplement the notes with my own observations Print them out Study them further from the printout These steps took time. But I wound up with much more understandable notes as a result. The notes not only fused the lecture content with the readings. I also got an additional review of the material. An Absurd Study Requirement Still, part of my mind couldn’t let go of the absurdity of the situation. I was preparing for an open book exam where the book is locked behind a screen you’re not allowed to open. Students willing to spend the money get to bring the textbook. Anyone else has to bring whatever they managed to copy out by hand. This is not a level testing field. It’s a paywall wearing an academic gown. In my case, the absurdity of this barrier served my learning experiment. But I had a choice. Plenty of students don’t. Think First, Verify Second: How I Actually Used My Notes So how did my handwritten notes and transformed notes based on the slides perform against the clock? At first, I didn’t use the notes at all. Instead, I initially answered every question by thinking first. Then I went over everything a minimum of three times, checking my answers for accuracy against the notes. In other words, I used my notes as a verification instrument, letting the answers come first from my memory. Now that you know how my exam went, let me consolidate everything into some tips for your own open book test. How to Prepare for Your First Open Book Exam: My Best Tips My study suggestions break down into practical strategies and mindset management. You really can’t have one without the other because unexpected things can and do happen no matter how prepared you come to a test. Build a Reading “Moat” Well In Advance Even before I knew about the assignment structure and course exams, I started reading the instant I had access to the course area. But not just the textbook. I made ample use of the included dictionary and memorized new terms using this tried and true vocabulary memorization process. To supplement the reading, I also found as many YouTube channels and podcasts about Australian law as I could. I listened intensely and watched as many hours of video tutorials as possible. Sometimes these audio and video supplements went quite ahead of the reading. So I took care to balance going too far afield of the requirements against making sure I was going through additional material related to legal institutions. Placing guardrails on myself required vigilant self-monitoring and discipline, but I wound up with a “moat” around the core reading. In other words, my core reading was surrounded by related multi-media study. How to Pass an Open Book Exam? Complete All the Readings & Every Exercise Often students ask me about how to find the most important details in their study materials. As I discussed in my tutorial on finding the main points in books and articles, many books include summaries and conclusions. And some include dedicated exercises. That was the case with Laying Down the Law. The instructor also included some additional exercises, and so I completed both. And this is exactly what you need to do too. Be a completist. I know it is tempting to search for hacks of every kind under the sun. But in reality, the point of studying something is to become an expert in that topic. Some experts certainly do skim and scan, but that doesn’t mean you should. Frankly, I found both the readings and the exercises for my first exam a bit boring. But I went through them anyway to help develop my understanding of the material. And to go beyond the call of duty so that later on, I will know I at least tried my best. How to Pass an Open Book Test with Help from AI As I discussed in my video tutorial on studying complex topics, I wrote an AI prompt to spar with and test my answers: https://www.youtube.com/watch?v=jfL5ygsYpyg The prompt is called A.I.M. and you’re welcome to grab it below if you want to give this GPT I trained for myself a try with your study material. Here’s an important point: Getting your reading down early and supplementing it with additional material enriches how you complete your exercises. Memorize Anyway, Even If You Have Textbook Access & Keep Flawless Notes One thing I kept hearing early on were sentiments like, “No one cares if you can remember legal Latin.” I took this point into consideration, but memorized the phrases I came across anyway. It turns out one Latin phrase did show up on the quiz. If I hadn’t memorized it, I would have been underprepared (especially since I did not have the textbook with me). Memorization of terms, dates, important names, sections and other minutiae related to your studies might not prove valuable in the end. But more practice with a variety of memory training techniques will provide many benefits. The core techniques I used for this part of the study process were: Memory Palaces Pegword method PAO System Spaced repetition Although it can take a while to learn and practice these mnemonic devices, it is well worth having them on your side. Organize & Supplement Your Notes Effectively I actually got the idea to print out the slides and then rearrange them from my friend Nick. At first, I thought it might be a waste of time. I already faced the problem of forgetting more from digital exposure. But as I edited the slides in a Google document, I realized that the additional exposure involved looking at the information from a unique perspective. While changing the format and organizing them into a structure I better understood, I was processing the information again. I wouldn’t call this form of learning either deep or shallow. It was simply an integrative step that enabled further questioning after I printed out the notes. And I found some initial study exercises in the notes that I later answered with a red pen after doing further research. For example, I extended my understanding of the “Cab-Rank rule” as you see here:   Additionally, I took a moment to set up the footer area. As you can see in the example, this simple trick indicates: To which lecture slide the notes belong The page number The total number of pages for this set of notes Although I felt a bit silly, and perhaps more like a secretary than a student doing this, the rewards were obvious as I was doing it. Knowing that each set of notes was full and completed reduced my test anxiety. And because the pages were numbered and using the footer showed me at a glance that I wasn’t missing anything, I spared myself any and all mystery about the status of my notes during the testing hour. This is not a small point because anxiety-induced memory loss is a real problem. Seriously. I can imagine nothing worse than my mind seizing up with worry that a page of notes had gone missing. Especially when the rules of the test required that I remain in front of the computer throughout. Finally, I bound each set of notes together with a simple clip from the stationery store. Again, it felt a bit secretarial, but it was really useful in making sure all of my notes were organized. I did the same with my handwritten notes. In this case, my handwritten notes were based entirely on key terms I thought would be important for the exam. What I found interesting is that most of what I had written out from the online textbook was the same as on the lecture slides. For more tips on dealing with your reading, check out how to take notes from a textbook. Follow up with my how to memorize a textbook training for what to do with your notes once you’ve got them. Take Deliberately Timed Breaks While Studying Provided you’ve started reading early and expanded your reading to include a variety of sources, it’s important to rest. Frankly, taking breaks is a weakness of mine. I love to plow forward. But I made myself take entire days off leading up to the exam where I didn’t read anything related to the exam. However, I did engage in reflective thinking about my studies. This simple activity while taking time off helps with memory formation and comprehension. Verify Your Sources Before Exam Day As a final step, I went through everything again the day before the exam. This included checking the file names of all my notes and various citations. Plus, there were various names and dates that I had memorized that were not on my notes. So I checked those, such as for the Mabo decision, an important legal case in Australia. Although I knew it was unlikely that a multiple choice question was going to confirm that I knew Mabo’s first name was Eddie, I checked my memory of the fact anyway. This simple verification step not only made sure that other details of the case were clear to me. It’s also just fun to check for accuracy. For Online Open Book Exams, Test All Software In Advance Since I’m a remote student, I not only made sure I completed installing the Respondus software days in advance of the exam. I also made sure all my software was up to date, from the browser to the operating system. Not only is regularly updating software a best practice. Knowing that everything is operational helps reduce exam anxiety. Control Your Mind While the Clock is Ticking Although I finished the exam quickly, it’s not that time wasn’t on my mind. In fact, it was raining hard and I hadn’t slept well. Both of these factors injected no small amount of misery into my mind. In my case, I kept thinking about Peter of Ravenna and how disappointed he would be. There wasn’t much room for memory techniques to shine during the exam experience. Then I started doubting that law school was such a great idea after all. As soon as I caught myself doing that, I started running some of the mantras I memorized prior to writing The Victorious Mind. Having this simple ritual focused my mind back on the task at hand by blowing the distracting thoughts away. If mind wandering causes you issues while sitting for exams, it could be worth looking into various mental routines you can practice. This complete guide contains multiple concentration meditations you might find useful as a learner. Why Do Teachers Give Open Book Exams? Although I passed with High Distinction, my first exam of this type felt alienating. I can’t quite put my finger on what bothers me about it. But to use a critical thinking tactic, I’ll try to steelman the format by way of understanding the reason behind the testing scheme. It’s clear that this kind of test is less about knowledge and more about how detail-oriented the student is. I also suspect that the reason the teacher gave an open book exam is twofold: One: Anti-Guessing Design The open book format means that you will actually go through your learning material. There’s no incentive to guess when you can look at your study sources, leading to at least one more pass through the material. Two: Blended Testing This exam was only part of the grading for the course. I still need to give an oral presentation and submit an essay. By having an initial exam with the anti-guessing design optimized to generate an additional review of the study material, it does set the stage for stronger performance. Summing up: A Plan for Your First Open Book Exam Because time is always in short supply, I suggest that you: Start reading as soon as possible, ideally before the course even begins. Take extensive notes and give yourself time to verify them. Complete all of the available practice questions. Use ChatGPT as a sparring partner, not as a source of answers. Schedule plenty of breaks. If you’re a remote student, check that all of your software is updated. If you would like access to the sparring partner I created for myself, it is called A.I.M. As a study prompt, it’s simple and direct. But I found that it helped me identify a number of blind spots in my thinking. Click or tap the image below to claim it: I don’t know what Peter of Ravenna would have to say about exams like this. But in my experience, the format rewards the prepared mind and the precise reader. I expect my memory will be tested in future law courses and because of the amount of review this kind of testing promotes, I expect the experience has indeed helped my recall. Even if in a different way than I’m used to when studying. For more of my experience and teaching on that, check out my guide on How to Study Effectively next. Above all, enjoy the learning process. We sometimes forget what a blessing it is to be able to study at all. Yet, here we all are, with more people on the planet studying than ever before. Don’t forget to celebrate the opportunity you have and bring that awareness to the exam. Keeping a positive attitude is a major skill that promotes massive success in all of life’s many “tests.”

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