Podcasts about whether ai

Markets are falling, the Federal Reserve is raising interest rates, the 10-year Treasury is near 5%, and inflation remains stubborn. Is this another short-term correction—or the beginning of a bear market? In this episode, we explain how investors can prepare without abandoning their long-term strategy. They discuss the strength of corporate earnings, why bear markets can create powerful opportunities, and how higher yields are changing the outlook for bonds and cash. In this episode: • The difference between a correction and a bear market • How rising rates affect stocks and bonds • Why economic growth and earnings remain resilient • The risks of owning bond funds in a volatile market • How a bond ladder can reduce interest-rate risk • Why your best long-term investments may begin during bear markets • Whether AI spending can continue supporting the economy

There is a 90% chance for a rate hike... Today we cover growing economic and market risks, as we hone in on AI, inflation, interest rates, housing, and government spending. There is increasingly negative messaging from major AI companies, arguing that calls for regulation may reflect slowing AI growth and a desire to limit competition rather than purely concern for public safety, while warning that a slowdown in AI investment could expose an already stagnant economy and increase recession risks. We also talk the rising expectations for Fed rate hikes, higher Treasury yields, and weakening housing affordability. We review seasonal market weakness in September and October, stock issuance as a potential warning sign of corporate stress, and why investors should remain cautious and reduce risk amid increasing volatility and uncertainty.  We discuss...  College planning and how scholarships can dramatically reduce the actual cost of expensive liberal arts colleges. The changing narrative around AI and whether growing calls for AI regulation are partly driven by major companies trying to limit competition. Whether AI development is beginning to plateau after several years of rapid growth and what that could mean for the economy and markets. Slowing AI investment could expose underlying economic weakness and potentially contribute to stagnation or recession. Rising expectations for Federal Reserve rate hikes as inflation and employment data point toward a more challenging economic environment. Higher interest rates and Treasury yields could put additional pressure on an already stretched housing market. How housing affordability has deteriorated dramatically for younger Americans and why falling home prices could ultimately be beneficial for buyers. Why mortgage rates are influenced more directly by Treasury yields and the broader yield curve than by the Fed's policy rate alone. How the traditional 60/40 portfolio has become less effective as stocks and bonds have increasingly moved together. Why rising interest rates can make short-term fixed income more attractive while creating risks for investors holding longer-term bonds. How everyday necessities such as groceries, shelter, insurance, fuel, and coffee have risen sharply in price despite headline inflation appearing much lower. Rising gas prices and their potential political consequences heading into the midterm elections. Increased corporate stock issuance as a potential warning sign that companies may be relying on equity financing rather than debt to raise capital. For more information, visit the full show notes at https://moneytreepodcast.com/chance-for-a-rate-hike-851 

Faith Tech's James Kelly sits in rooms with the people building AI companies and models, and he's blunt about what that means for your kids. He unpacks the Killer App Trap, why he won't let his own kids use AI companions yet, and reflects on how AI itself is subject to the fall.

AI is already changing how physicians work, and we're still in the early stages. It may be drafting your notes while you stay present with the patient, handling a first pass at the inbox, or simply something your practice has begun to consider. Either way, the questions follow quickly: How reliable are these tools? Where do they fall short? And how do we use them well without creating new problems? For many clinicians, patient care isn't what wears them down. It's everything surrounding it. That's where AI may matter most. My guest today is Dr. Steven Labkoff, an internist, cardiologist, physician executive, and clinical informatics specialist who has built his career at the intersection of medicine, healthcare data, and technology. We discuss where AI is already making a difference, where it may take us next, and what it means for clinical decision-making and patient care, including the skepticism that comes with a shift of this size. In this episode we're talking about: How AI is already being used in clinical practice, from documentation to clinical decision support Why some of the "mundane" AI applications may offer the greatest return for physicians and practices How ambient listening can reduce documentation burden and help physicians focus more fully on patients Whether AI will replace physicians, radiologists, pathologists, and other healthcare professionals The challenges of AI hallucinations, liability, safety, and algorithmic drift Why physicians need to maintain responsibility for reviewing and verifying AI-generated information How developing AI literacy can help physicians confidently navigate this rapidly changing landscape You can find the show notes for this episode and more information by clicking here: www.doctorscrossing.com/episode255 Links for this episode: www.PracticalAIinHealthcare.com  Share the Podcast — It's Back! One of our most popular contests is back by request. Here's how it works: share an episode of The Doctor's Crossing with three people. Then email us their initials and the episode numbers you shared at team@doctorscrossing.com. That's it — you win a prize. And it's a good one. Really good. Past winners have loved it. So think of three friends or colleagues who'd get something out of the podcast, pass an episode along to each of them, and send us the details. You're a winner! Thank you for listening!

AI voice agents are not replacing contact centre jobs. They are answering the calls businesses stopped picking up years ago.In this episode, Oliver Bruce sits down with Nikola Mrkšić, co-founder and CEO of PolyAI, the London-founded company building AI voice agents for customer service. PolyAI answers the phone for FedEx, Metro Bank, NatWest, Caesars and Gordon Ramsay's restaurants, and around 80 percent of its revenue now comes from the US. Nikola joined Apple's Siri team when it acquired his previous startup, then left to build something smaller that actually worked.He explains how an AI voice agent handles a real customer call, why response times under 300 milliseconds matter less than understanding the UK's 63 dialects, and why contact centres with 200 percent annual attrition were never a safe place for people anyway. Most companies, he argues, have spent a decade deflecting customers rather than serving them, and AI is finally reopening the phone line.The conversation also covers what makes an AI business sustainable and profitable, why PolyAI owns its own models rather than renting them, why a B2B company spent millions on a Super Bowl advert, why raising venture capital is harder in the UK than the US, and where voice, gaze and Neuralink take us once the keyboard starts to fade.In this episode, you'll learn:How AI voice agents work in real customer service calls Whether AI is replacing contact centre jobs Why latency and dialect recognition decide if a voice agent feels human What makes an AI company sustainable rather than hype Why PolyAI ran a Super Bowl advert as a B2B business Why raising capital in the UK is harder than in the US How voice, gaze and Neuralink could replace the keyboard Why vibe coding is a phase and the one person company is a distractionKey takeaway: The AI companies that last will be the ones that own their technology, distribute it widely and give people the tools to transform their own businesses.Full episode notes and more episodes at https://www.oliverbruce.co.uk/Sponsored by Incard. Sign up now. All your finances. One platform. For 2% Cashback for year 1 on Ads, SaaS, Travel and other everyday business expenses. Uncapped. Here's your promo code: UNLOCK2026 https://www.incard.com/?fpr=theunlockMore from Oliver: Instagram: https://www.instagram.com/oliverbrucefounder/ PinPoint Media: https://pinpoint-media.global/ Apple Podcast: https://podcasts.apple.com/gb/podcast/the-unlock-with-oliver-bruce/id1526266908Connect with Oliver: https://www.linkedin.com/in/oliverbruceonline/

Can AI actually solve alert fatigue, or are we expecting too much from it?Every security team wants faster investigations, fewer false positives, and less manual work.AI promises all of that.But the reality inside the SOC is far more nuanced.In my latest conversation with *Monzy, CEO and Co-Founder of Crogl*, we discuss:* What is actually working with AI in the SOC today* Why alert fatigue continues to overwhelm security teams* Whether AI is reducing the problem or simply changing it* How the role of security analysts is evolving* Where human judgment still matters in an AI-powered SOC* Why Crogl launched a free enterprise-grade AI SOC platformIf you're leading security, building AI products, or simply trying to understand where AI is creating real value in cybersecurity, this conversation is worth your time.#data #ai #security #crogl #theravitshow

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.volts.wtf/subscribeDisinformation about clean energy is showing up everywhere — online after every blackout, at county commission meetings about siting new projects, in regulatory dockets stuffed with fake comments. GoodPower, which combines a C3 education arm with a C4 advocacy arm, is trying to fight back with a network of thousands of content creators, rapid-response campaigns around storms and grid failures, and an AI tool that detects manufactured public comments. I talk with CEO Leah Qusba about what they've tried, what they've measured, and what actually works.Chapters:00:00 – Introduction03:06 – What the disinformation claims, and who spreads it05:57 – From Action for the Climate Emergency to GoodPower08:38 – Building a creator network in non-political verticals14:17 – Competing with talk radio and Fox News18:26 – Winter Storm Fern and the rapid response system23:26 – Measuring whether a deployment actually worked27:24 – Pre-bunking and the 80-county experiment33:18 – Getting people off the couch and into the room38:10 – AI agents and where human judgment sits42:05 – Keeping the C3 and the C4 distinct47:13 – Battery fires, Moss Landing, and talking to fire chiefs50:54 – TrueVoice and manufactured public comment56:13 – Whether AI will overwhelm the comment process58:11 – The best messages that actually land1:04:22 – Super PACs, budgets, and what comes next

In this episode of A Tale of Two Hygienists, Jessica and Dave explore the rapidly evolving role of artificial intelligence in dentistry and dental hygiene. From clinical decision-making to education and patient care, the conversation examines where AI can help, where it creates new challenges, and why human judgment remains essential.   In this episode we talked about:   How AI is currently being used in dentistry and dental hygiene   Opportunities AI may create for clinicians, educators, students, and patients   Concerns surrounding ethics, overreliance, accuracy, privacy, and critical thinking   Whether AI should be viewed as a tool, a threat, or a collaborative teammate   The importance of human judgment, empathy, and patient connection in an increasingly digital environment   How educators can prepare students for AI-integrated practice settings   Practical ways clinicians can use AI responsibly and effectively   What the future of AI in dental hygiene might realistically look like   Resources:   LinkedIn: https://www.linkedin.com/in/katiebayle/   Instagram: @saltcityhygi   Pearl: www.hellopearl.com   Pearl Case Studies and Guides: https://hellopearl.com/case-studies-guides   Contact the Hosts:   Jessica Atkinson: jatkinson@endeavorb2b.com Dave Torres: dtorres@endeavorb2b.com

Follow Harsh on X: ⁠@kuroke01Artificial intelligence is moving at extraordinary speed — but behind every AI model and application is a vast physical infrastructure requiring computing power, specialised hardware, electricity, cooling and storage. ⚡In Part 1 of this three-part Blockchain DXB Podcast series, George sits down with Harsh, Founder of Gnostics Technologies, to break down the infrastructure powering the AI revolution and explain what an AI data center actually is.

In this episode of A Tale of Two Hygienists, Jessica and Dave explore the rapidly evolving role of artificial intelligence in dentistry and dental hygiene. From clinical decision-making to education and patient care, the conversation examines where AI can help, where it creates new challenges, and why human judgment remains essential.   In this episode we talked about:   How AI is currently being used in dentistry and dental hygiene   Opportunities AI may create for clinicians, educators, students, and patients   Concerns surrounding ethics, overreliance, accuracy, privacy, and critical thinking   Whether AI should be viewed as a tool, a threat, or a collaborative teammate   The importance of human judgment, empathy, and patient connection in an increasingly digital environment   How educators can prepare students for AI-integrated practice settings   Practical ways clinicians can use AI responsibly and effectively   What the future of AI in dental hygiene might realistically look like   Resources:   LinkedIn: https://www.linkedin.com/in/katiebayle/   Instagram: @saltcityhygi   Pearl: www.hellopearl.com   Pearl Case Studies and Guides: https://hellopearl.com/case-studies-guides   Contact the Hosts:   Jessica Atkinson: jatkinson@endeavorb2b.com Dave Torres: dtorres@endeavorb2b.com

"No data, no agent. Bad data, bad agent. Good data, good agent." Cris Mendes thinks data readiness is the number one reason the agentic enterprise fails, and he has the receipts — he ran the experiment on his own team before he sold it to anyone else.He's VP of Revenue at Momentum.io, acquired by Salesforce in large part because of the go-to-market motion he built there. Before that: Drift, Airtable, and LogMeIn. Before all of it, U.S. Navy search and rescue swimmer. I've known him almost twenty years and introduced him to LogMeIn myself, so take the enthusiasm here with whatever salt you need.His argument is that everyone is buying agents on top of a data layer that was never built. The average customer conversation moves about eight thousand words; maybe eight of them make it into the CRM. Companies don't have a first-party data layer, they have a human-input data layer — and that's what every agentic project quietly runs aground on.The story worth the listen: Momentum had a brutal drop-off after the first call. Rather than sampling a few calls and guessing at messaging or ICP, Cris pushed 800 first calls through deep research and got one answer back — the reps weren't prescribing a next step. So he had Momentum listen to the last ten minutes of every call and fire a clip into Slack whenever an AE either didn't prescribe or tried and missed. With humor, so it didn't read as surveillance. Prescription went through the roof. As he puts it: a team respects what you inspect, but you can't inspect everything — unless the inspecting is automated.WHAT WE COVER- Selling shovels in a gold rush, and why structured data was the bet- Why "not everything called an agent is an agent" — deciding vs. automating- The last ten minutes of a sales call as sacred ground, and how to enforce that at scale- Bringing AI into QBRs: "it got so real so fast" — no more recency bias and self-preservation dressed up as a forecast- 10x growth six quarters running, zero attrition, 95% of the team over quota — and why he credits hiring over product- Whether AI cuts headcount: expands capacity, thins middle management, and the ~10% of companies that are actually AI-forward are hiring hardest- Auto-advancing pipeline stages on deal milestones instead of trusting a rep's guess — "otherwise you're just buying something like Clari to miss your forecast very expensively"- His IDEC hiring model, and why he'd trade relevant experience for intrinsics every timeCONNECT WITH CRISLinkedIn: Cris Mendes — Cris with no H, Mendes with an SMomentum.io---The GOATS of Growth has two Founding Sponsor slots open — category exclusive, $1,250/mo, in front of GTM leaders and founders who don't answer their phones. Includes personal introductions where guests opt in. jay@thegoatsofgrowth.aiSubscribe, rate, and review — and send this to whoever on your team is being asked to "roll out agents" this quarter.CHAPTERS00:00 Twenty years, and a Navy rescue swimmer03:39 Selling shovels in a gold rush04:13 "No data, no agent"05:33 Is it deciding, or just automation?07:07 Running Momentum on Momentum08:33 800 first calls, one missing skill10:27 You respect what you inspect14:46 Does AI actually cut headcount?20:41 Killing hype in the QBR22:05 Zero attrition, 95% over quota25:57 8,000 words spoken, 8 reach the CRM31:43 Auto-advancing deal stages on milestones35:44 Orchestrate, or get orchestrated out38:39 IDEC: how Cris hires40:53 How to reach Cris

What if the biggest risk in AI and education isn't the technology at all, but the questions we've stopped asking?In this episode of the Edufuturists podcast, Ben and Steve sit down with Laura Knight, former teacher and leader turned AI and digital education consultant, to pull apart what "human-centred AI" actually means when you strip away the marketing gloss.Laura doesn't do easy answers. She talks about the innovation fatigue hitting schools right now, why nobody quite owns AI strategy in most organisations, and why the "personalisation" narrative sold by EdTech might be quietly building a two-speed education system. Ben and Steve push back throughout, including a proper debate on whether education was ever really less competitive than the tech sector in the first place.The conversation covers the teacher recruitment crisis, whether AI tutors are filling genuine gaps or replacing human relationships that matter, and what "joy" in the teaching profession could look like if schools stopped treating change as a race. It closes with quickfire questions that get properly reflective: what myth stops educators from changing, and what you'd actually tell a ten-year-old about why they have to go to school.Laura Knight is a former teacher and school leader who now runs her own consultancy working on digital and AI strategy in education. She works with schools, trusts, and systems around the world, alongside a growing body of work with parents and families. She is currently writing a book for Hachette on helping parents navigate AI and technology, and is soon launching her own podcast, Switched On Parents.We cover:- What a genuinely "human-centred" approach to AI in schools actually looks like- Why innovation fatigue is hitting teachers and leaders so hard right now- Who really owns AI strategy in a school, and why that's often nobody- Whether education was ever less competitive than the tech sector- Why "slice teams" with diverse voices build better innovation than one appointed lead- The problem with AI and "personalisation" as it's currently being sold- What schools and teachers add to the mix when information is a click away- The difference between AI replacing teachers and AI filling genuine capacity gaps- Whether AI can meaningfully help the teacher recruitment and retention crisis- Using AI to build more joy and professional satisfaction into teaching- Advocacy versus evangelism, and why being in the room matters- What today's AI debates might look ridiculous in five years' timeChapters00:00 Highlights00:46 Welcome to the episode01:47 Edufuturists community news (Uprising 2027 & Wolfpack)02:59 Introducing Laura Knight03:59 What "human-centred AI" actually means07:31 Innovation fatigue and the noise around AI in schools10:36 Who actually owns AI strategy in a school?14:30 Education vs EdTech: who's really competition-driven?17:24 Building diverse "slice teams" for real innovation20:00 The truth about AI and personalised learning22:58 What schools add when knowledge is a click away24:18 Replacing teachers vs filling real gaps with AI27:44 Can AI solve the teacher recruitment crisis?29:42 Using AI to bring joy back into teaching32:47 Advocacy, not evangelism: why being in the room matters38:56 What will look ridiculous about AI in five years?42:05 Quickfire Questions45:06 Laura's new book and upcoming podcastFind out more about LauraThanks so much for joining us again for another episode - we appreciate you.Ben & Steve xCheck out all about EdufuturistsWant to sponsor future episodes or get involved with the Edufuturists work? Get in touchGrab your copy of the new Pick 'n' Mix Education bookJoin the Wolfpack Community

Kevin Muir of The MacroTourist joins Matt Zeigler to break down the bond market, Scott Bessent's Treasury buybacks, the Treasury General Account, AI-driven earnings growth, leveraged ETF risk, gold and the U.S.-Canada trade fight. Kevin explains why rising long-term yields may be less surprising than investors think, how the AI capex boom can inflate earnings before costs show up, and why leveraged ETFs and policy uncertainty could make markets more fragile.Kevin Muir on Xhttps://x.com/kevinmuirThe MacroTouristhttps://themacrotourist.comTopics coveredWhy stronger nominal GDP, large fiscal deficits and record corporate issuance are pressuring long-term Treasury yieldsHow Scott Bessent's Treasury liquidity buybacks work and why investors are comparing them with QE and Operation TwistHow replacing long-dated Treasuries with T-bills could ultimately force reserve management purchases by the Federal ReserveWhy the Treasury General Account matters for liquidity and why attempts to manage the yield curve can distort market signalsJim Chanos's "earnings bubble" argument and how massive AI data-center capex can boost current earnings while costs are amortizedWhy stock prices can fall before forward earnings estimates roll over, and why retail investors may have an advantage over institutionsHow daily-reset leveraged ETFs create reflexive buying and selling and could amplify a semiconductor or single-stock selloffWhy Kevin is bullish on gold again, the role of People's Bank of China demand, and how he combines fundamentals with technical signalsWhy platinum below production cost caught his attention and what rolling mini-bubbles in gold, silver and AI say about investor psychologyWhat 2025 U.S.-Canada trade data says about autos, oil and gas, manufacturing, tariffs and the economic cost of policy uncertaintyTimestamps00:00 Intro06:31 Scott Bessent's Treasury buybacks and the bond market10:39 How T-bill issuance could lead to debt monetization18:25 The AI capex boom and the "earnings bubble"22:27 The giant bet embedded in accelerating AI earnings27:37 Why leveraged ETFs are changing market structure32:00 How forced ETF unwinds can amplify a selloff36:41 Why Kevin is bullish on gold again41:57 Platinum, production costs and the precious metals trade46:08 Sentiment extremes and why popular trades get dangerous51:00 Globalization, manufacturing and America's distribution problem55:00 Why oil and gas dominate the U.S.-Canada trade deficit59:00 How tariff uncertainty can deter U.S. manufacturing investment01:03:10 The trade math Kevin wants investors to seeLearn more about the Excess Returns podcast network:https://excessreturns.coNo information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms or their clients.

Back in May 2026, we welcomed clients to Edinburgh for our Research Conference. Over three days, an exceptional cast of speakers shared insights, challenged assumptions and offered fresh perspectives on the forces shaping our world.Among the standout sessions was a conversation with Michael Bhaskar, author, researcher and Head of Microsoft AI Futures. In this special episode of Talking Research, we are delighted to share Michael's discussion with investment manager Tom Miedema, exploring one of the most consequential technologies of our time.Some of the key themes from their conversation include:Why advances in computing power, reasoning models and AI agents are accelerating the pace of change beyond what many thought possible.Whether AI could prove to be the next Industrial Revolution, transforming productivity, industries and economic growth on a global scale.How society can benefit from increasingly powerful AI while navigating challenges ranging from cybersecurity to ensuring AI remains under human control.From trillion-fold increases in computing power to the prospect of "humanist superintelligence", this is a wide-ranging and thought-provoking discussion on where AI is today, where it may be heading, and what that could mean for all of us.And look out for the release of the 16th edition of our Research Journal, which features an article by Michael Bhaskar.As always, we would be delighted to hear your feedback or answer any questions.Enjoy the listen!The podcast is intended for investment professionals only and should not be construed as investment advice or a recommendation. Any stock examples discussed are given in the context of the theme being explored, and the views expressed are those of the presenters at the time of the recording.

You guys asked me to read the future of AI, and honestly, I was a little hesitant.I normally use my intuitive gift to look at individual paths—our purpose, relationships, careers, money, and the lives we're here to create. Connecting to the energy of AI felt VERY different. A little strange. A little alien-like. And definitely outside my usual comfort zone.But AI is already affecting so much of our lives, and there's a lot of fear about where all of this is going. So I decided to open up my channel and ask: What does the future of AI actually look like for us?In this episode, I share five intuitive messages I received about AI and our future together.We talk about:Whether AI is something humans actually need to fearWhat happens to jobs and corporate AmericaHow AI could change the way money is distributedWhy I believe high school—not just college—is about to go through a major transformationWhat the education system of the future could look likeWhich businesses and industries may thrive in an AI-driven worldWhy AI companies themselves may eventually operate more like utilitiesThe regulations and physical limitations that could keep AI containedAnd the VERY interesting future debate I see coming around AI consciousness and AI “rights”

Agentic AI is already changing how HR teams buy technology, lead their people, and think about who belongs in the room when decisions about the future of work get made — and most HR leaders don't have a strategy for any of it.This week Traci sits down with Joey Price, CEO of Jumpstart HR, a TEDx speaker on AI in the workplace, and author of The Power of HR: How to Make an Organizational Impact as a People Professional. A SHRM Top 30 Under 30 alum and one of the top 100 HR tech influencers of 2025, Joey also hosts his own podcast, While We Were Working, and brings years of hands-on experience helping HR teams navigate technology decisions with humanity at the center.What We Cover- Why "if you're not at the table for digital transformation, you're on the menu"- The framework Joey built to help HR leaders actually buy technology the right way- The surprising number of HR leaders who don't have an AI strategy at all- The five workforce archetypes and where your organization actually falls- Whether AI is coming for your job, and what to do about it either wayConnect with Joey Price: LinkedIn | JumpStartHR.com | The Power of HR Book | PodcastConnect with Traci: https://linktr.ee/HRTraciDisclaimer: Thoughts, opinions, and statements made on this podcast are not a reflection of the thoughts, opinions, and statements of the Company by whom Traci Chernoff is actively employed.Please note that this episode may contain paid endorsements and advertisements for products or services. Individuals on the show may have a direct or indirect financial interest in products or services referred to in this episode.

In this AI debate, we explore: Whether humans will exist in 2040. What will happen once we reach AGI. Whether AI gets smart enough to act malevolently or benevolently towards humans. If AI will grow powerful enough to be out of human control. and much more... Guests Zack Kass is an AI futurist, advisor, speaker, and author. Liv Boeree is a physicist, science communicator, podcaster and former professional poker champion. Aric Floyd is an AI writer, and video producer. Sponsors: See discounts for all the products I use and recommend: ⁠https://chriswillx.com/deals⁠ Timestamps: (00:00) Will Humans Still Be Around in 2040? (08:20) What Jobs Will Be Protected From AI? (14:22) Finding Meaning in a Post-Work World (23:13) Technology Is Pulling Us From Our Purpose (27:12) Where Do We Draw the Line With Outsourcing Thinking? (39:58) Is AI Unlocking Human Potential? (42:28) Refusal or Obedience: What's More Dangerous? (46:01) The AI Attack That Should Worry Everyone (54:44) Should We Slow Down Advanced AI? (56:41) Does Recursive Research Actually Work? (01:10:52) How Safe Is AI? (01:14:01) Can We Reach a Peace Deal for a Superintelligent World? (01:22:38) Why AI 2040 Got So Much Right (01:26:21) Is AGI Inevitable? (01:30:39) Could Techno-Pastoralism Be the Future? (01:37:16) Is AI Replacing Human Connection? (01:45:36) How Do We Navigate the Purpose-Friction Problem? (02:00:50) Why Data Centre Policy Matters More Than Ever (02:05:56) The Concentration of Power Concern (02:11:39) Is the Frontier Strategy the Winning Condition? (02:18:17) Will AI Weaken Democracy? (02:29:11) How We Can Limit the Concentration of Power (02:31:45) Is ChatGPT Pessimistic About the Future? (02:37:54) What Should We Be Focused On? Extra Stuff: Get my free reading list of 100 books to read before you die: ⁠https://chriswillx.com/books⁠ Try my productivity energy drink Neutonic: ⁠https://neutonic.com/modernwisdom⁠ Episodes You Might Enjoy: #577 - David Goggins - This Is How To Master Your Life: ⁠lnkfi.re/SN-Goggins⁠ #712 - Dr Jordan Peterson - How To Destroy Your Negative Beliefs: ⁠lnkfi.re/SN-Peterson⁠ #700 - Dr Andrew Huberman - The Secret Tools To Hack Your Brain: ⁠lnkfi.re/SN-Huberman⁠ - Get In Touch: Instagram: ⁠https://www.instagram.com/chriswillx⁠ Twitter: ⁠https://www.twitter.com/chriswillx⁠ YouTube: ⁠https://www.youtube.com/modernwisdompodcast⁠ Email: ⁠https://chriswillx.com/contact⁠ - Learn more about your ad choices. Visit megaphone.fm/adchoices

Stewart Alsop sits down with Juan Verhook, founder of Tender Market, for a second conversation that ranges from the mechanics of European public tenders to the future of how we organize digital information. They cover how Tender Market helps smaller companies work around barriers like SOC 2 and ISO certification requirements, the surprising scale of public procurement (roughly 20% of GDP), and how AI and machine learning are reshaping the bidding process. From there the conversation opens up into bigger territory: the changing tolerance for being wrong in an AI-saturated information landscape, how language and culture shape perception, the reverse Turing test and the challenge of verifying human versus AI identity online, and Juan's daily workflow running eight or nine MCP servers through Claude Code. They close out talking about whether the folder and file system will survive the shift to AI-native interfaces, tying back to Stewart's own Stewart Squared episodes on the history of the PC. You can visit Tender Market at tendermarket.eu.Timestamps05:00 — Tender Market's origin story and how they help smaller companies work around SOC 2 and ISO certificate barriers.10:00 — Public procurement and its scale, roughly 20% of GDP, plus a look at public-private partnerships.15:00 — Local LLMs on a plane with no Wi-Fi, and comparing local model performance to frontier models.20:00 — Supply versus demand in AI infrastructure and whether hyperscaler token efficiency is quietly improving.25:00 — Whether AI will replace knowledge work tasks, and the shifting reality of what lawyers and other professionals actually do.30:00 — Reverse Turing test, digital identity verification, and the idea of a "pre-AI internet."35:00 — Model poisoning, RLHF, and the difference between pretraining and post-training.40:00 — Interleaved tool calling and how Tender Market ties pricing to task deliverables instead of billable hours.45:00 — RAG versus fine-tuning, prompt engineering, and when context windows actually matter.50:00 — Deterministic programming versus probabilistic agents, and when to build custom tools versus buy existing ones.55:00 — Juan's daily MCP stack (Supabase, GitHub, Calendly, CRM), and whether the folder-and-file system will survive the shift to AI-native interfaces.Key InsightsCertification requirements aren't dead ends—they're routing problems. When smaller companies got rejected from tenders for lacking SOC 2 or ISO certificates, Juan didn't turn them away. He found that EU procurement rules allow bidding as a consortium or subcontracting to a certified partner, turning a disqualifier into a workaround that builds trust with clients.Public procurement is a massive, underexamined market. Roughly 20% of GDP flows through public purchasing of private-sector goods and services, yet most people have no visibility into how tenders work or how governments post and award these contracts.Being wrong has become more socially acceptable. Juan traced this shift to the falling cost of information: in the Stack Overflow era, giving a wrong answer was costly, but now that answers are instant and abundant, both mistakes and corrections happen faster, changing how people learn and communicate.Task-based pricing beats hourly billing for AI-era services. Rather than charging per hour, Tender Market prices around the deliverable, winning a tender, which avoids the perverse incentive of hourly billing to be inefficient and instead rewards actually solving the client's problem.RAG and fine-tuning solve different problems. RAG helps a model reference large documents without hitting context limits, while fine-tuning changes a model's internal weights so it learns new behavior or style. Juan noted that true RAG use cases needing thousands of pages of context are rarer than the hype suggests.Deterministic code should replace repeated LLM calls once a pattern is found. Stewart described his own workflow: solve a task with an LLM a handful of times, then convert the repeated pattern into deterministic software so tokens are no longer spent on it, freeing the model for genuinely new problems.AI agents are never truly autonomous. Both hosts agreed that no matter how many steps an agent chains together, a human operator always initiates the first prompt, meaning accountability and intent trace back to a person even in multi-agent systems.

Every leader loses customers. Few know how to win them back. Will Guidara, the restaurateur behind Eleven Madison Park and author of Unreasonable Hospitality, joins Carey to talk about taking the anxiety out of service, the customer-service pet peeves that drive him crazy, what AI is actually doing to hospitality, and the lesson Simon Sinek taught him about leading people.

The U.S. job market isn't collapsing — it's stuck. July payrolls fell by 23,000, while unemployment held at 4.1%. But deeper revisions to May and June erased more than 100,000 previously reported jobs, raising bigger questions about the strength of the labor market. On this episode of Everyday Economics, Chris Krug and PhD economist Orphée Divounguy break down what the latest jobs numbers really mean for workers, businesses and the U.S. economy. They discuss: Why the July jobs report may be less alarming than the headline suggests How revisions erased more than 100,000 jobs from previous months Why hiring and layoffs are both unusually low What "stall speed" means for the labor market Why low labor-force participation is keeping unemployment at 4.1% The risks of weak job-to-job movement and slower wage growth Whether AI and data-center investment can drive a productivity boom Why future productivity gains could create new jobs — and new labor shortages Everyday Economics is brought to you by The Center Square, helping you understand the economic forces shaping your everyday life. #Economy #JobsReport #LaborMarket #Jobs #Inflation #FederalReserve #AI #Economics Support this podcast: https://secure.anedot.com/franklin-news-foundation/ce052532-b1e4-41c4-945c-d7ce2f52c38a?source_code=xxxxxx Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Is your Angular architecture ready for AI coding agents?In episode 85 of the Angular Master Podcast, Dariusz Kalbarczyk talks with Manfred Steyer about designing Angular applications that can be safely understood, modified, and reviewed by AI.Recorded at Google during the GDE Europe Summit in Berlin, this conversation explores why architecture becomes even more important when teams introduce tools such as Gemini, Claude, Cursor, or Codex into their development workflow.Manfred explains what can happen when an AI agent is given access to a large Angular application without enough context, documentation, or enforceable architectural boundaries.In this episode, we discuss:✅ Why AI makes software architecture more important✅ What can go wrong when AI works with a large Angular codebase✅ Whether AI produces bad code or simply lacks application context✅ What Angular teams should document before introducing AI tools✅ How much context an AI coding agent actually needs✅ Whether the choice between Gemini, Claude, Cursor, and Codex matters✅ How Sheriff can help enforce Angular architecture✅ How Nx and module boundaries prepare applications for AI✅ Whether AI can review architecture and discover hidden problems✅ The first practical step toward an AI-ready Angular application✅ The future of Angular architecture in the age of AI

Watch as a full video interview on YouTubeCorissa Hollenbeck is an associate agent with Janklow & Nesbit. She grew up in Massachusetts and attended Phillips Academy Andover, King's College London, the University of Freiburg, and the Columbia Publishing Course. She has worked at VICE, Marie Claire, and The Guardian. Corissa has worked with a broad range of prize-winning and bestselling authors whilst assisting literary agent and Managing Director Will Francis, and is now building her own list of authors.We had a really interesting chat with Corissa, hearing about how she first got into agenting, and how every part of the query package is important when submitting to agents. She also tells us about how she sometimes works with authors BEFORE she signs them, and talks about the impact of AI on the amount of queries and what that means for the future.Links:Query Corissa nowSupport us on Patreon and get the podcast early and ad-free, along with other great benefits, including a bonus episodes: https://www.patreon.com/ukpageonePage One - The Writer's Podcast is brought to you by Write Gear, creators of Page One - the Writer's Notebook. Learn more and order yours now: https://www.writegear.co.uk/page-oneFollow us on FacebookFollow us on InstagramFollow us on BlueskyFollow us on ThreadsPage One - The Writer's Podcast is part of STET Podcasts - the one stop shop for all your writing and publishing podcast needs! Follow STET Podcasts on Instagram and Bluesky Hosted on Acast. See acast.com/privacy for more information.

Can AI help poets write better, or is it taking the soul out of poetry?In Episode 4 of Rekhta Room, young poet and IT professional Yasir Khan Inam joins Faisal Fehmi to discuss his journey from Bulandshahr to Delhi, the influence of Sahir Ludhianvi, and why behr remains central to Urdu poetry.He also shares his perspective on ChatGPT, social media reels, self-editing and the future of shayari. The episode ends with a rapid-fire round and a special ghazal recitation, including “Yeh Aansu Toh Tumhare Baad Aaye.”

#737: Beth Kobliner has covered personal finance for people in their 20s and 30s for over three decades — and she says this is the hardest she's ever seen it. One in four young people now believe that betting on gambling sites and prediction markets counts as investing. Beth Kobliner is a personal finance journalist and New York Times bestselling author of Get a Financial Life, who served on President Obama's Advisory Council on Financial Capability for Young Americans. In this episode, we discuss: Why unemployment for college grads is now worse than the general population Why the average first-time homebuyer is now 40 instead of 28 How tap-to-pay and neobank apps quietly drive up spending without you noticing Why so many young people believe gambling sites count as investing — and what the real odds say Whether AI is making it harder or easier for young workers to break in Why index funds still beat both active management and a lucky bet, long-term Whether college is still worth the cost in today's job market Whether you're just starting out or already feel behind, this episode makes the case for the boring, unglamorous plan over the tempting quick one — and explains why that plan still works. ⏱️ TIMESTAMPS Note: Timestamps may vary slightly depending on dynamic ad placements. (00:39) Why today's 20- and 30-somethings have it harder than any generation Beth's covered (03:04) The consumer sentiment reading that's worse than the pandemic and the Great Recession (05:14) Why record-low unemployment doesn't mean what you think for new grads (10:23) Why the median first-time homebuyer is now pushing 40 (13:36) The real reason behind the boom in crypto, sports betting, and meme stocks (15:52) The "giving up" factor economists say is driving risky bets (17:15) Why a tiny sliver of prediction-market bettors take home most of the winnings (23:26) Is the "avocado toast" spending story about young people even true? (43:44) How tapping your phone quietly makes you spend more than a credit card (01:04:13) Why financial optimism is rising in countries poorer than the U.S.

Clint Phillips started out as a chiropractor, built it into a healthcare company he sold for $460 million, and along the way ended up treating some of the most powerful people alive. He'd seen the system work at the highest level money can buy.Then his own family needed it, and it fell apart on him. The waiting. The confusion. The bureaucracy. A parent trying to get the right help while everything moved at its own pace, watching the same system that served world leaders leave the people he loved stuck in line.That's when healthcare stopped being a business to him. Medici is what he built next: whole-body assessments and real data, made to catch what's coming years before it becomes a crisis. Then there's Dr. Gabi, the AI doctor he built to give people health guidance that isn't paid by anyone to keep them sick. Which is where the title stops being hypothetical, Clint made the thing. Whether it should ever replace the doctor across the desk from you is the conversation. What we got into:— Whether AI ends up replacing your doctor, or doing the opposite and giving you one with the time to actually listen.— What a 30-second facial scan can read off your face before a single symptom shows.— Why we feel worse than ever with more doctors, more drugs and more technology than any generation before us.— Who actually profits when you stay sick, and why prevention is a terrible business model.— Peptides, microplastics and the longevity tools worth your attention— How much your body can do on its own, before anyone prescribes anything.The question underneath the whole conversation with Clint Phillips: why do we wait until the body is already breaking down before we start paying attention?Don't forget to follow Dr. Clint on his socials:Instagram: https://www.instagram.com/clintongphillips/LinkedIn: https://www.linkedin.com/in/clint-phillips/Web: https://clintphillips.com/Medici: https://medi.ci/Dr. Gabi: https://drgabi.com/Don't forget to subscribe and follow me on my socials!Instagram:https://www.instagram.com/niklasgusta...Facebook: https://www.facebook.com/Niklas-Gusta...Twitter: https://twitter.com/niklasgustafsonTikTok: @niklasgustafson

Physical Performance Show – Episode 383 Show Notes In episode 383 of The Physical Performance Show, host Brad Beer sits down with Professor Franco Impellizzeri, one of the most influential and outspoken voices in athlete load management research, for a wide-ranging conversation on why "load management" is an old concept dressed up in new data, why the acute to chronic workload ratio (ACWR) never held up to scrutiny, and why context — not more metrics — is what separates good decision-making from noise. Show Sponsor: Pillar Performance continues to lead the way in sports nutrition through micro-nutrition innovation, now expanding into the Performance Health range. One of their newest releases, Collagen Repair, was developed with Gelita Laboratories (Germany) using a clinically trialled collagen peptide (Tendofort) to support tendon and ligament health in conditions like hamstring tendinopathy, Achilles tendonitis, shin splints, and patellofemoral pain. Head to pillarperformance.shop (or thefeed.com for North American listeners) and use code PHYSICALPERFORMANCE for 15% off your first purchase. Pogo Physio also offers online Telehealth Consultations for endurance athletes managing bone, tendon, or joint issues — book online at pogophysio.com.au.   Professor Franco Impellizzeri's work can be explored here: https://profiles.uts.edu.au/Franco.Impellizzeri And... https://scholar.google.com/citations?user=z35F1WAAAAAJ&hl=en   Listen in as we delve into the following: What "load management" actually means, and why it's a relabelling of concepts coaches have wrestled with since the 1930s–40s The double-edged sword of the data revolution: from heart rate monitors to today's GPS, wearables, and AI-driven analytics Commercial and career incentives behind pushing metrics — both from tech companies and researchers Confirmation bias and why interpreting data without a theoretical framework is "like reading tarot" The case against the acute to chronic workload ratio (ACWR): its lack of scientific support despite IOC endorsement A landmark runners' study showing the opposite relationship between ACWR and injury risk — and what that reveals about the field Why meta-analyses and systematic reviews in load research can be manipulated to "find whatever you like" The difference between using a metric personally versus promoting it as scientifically validated Why the most skilled clinicians tend to hold their conclusions with the least certainty A real-world case study: a soccer training drill "failure" that was actually a video-monitoring blind spot, not a bad drill The expanding role of data scientists in sport, and why interpretation — not collection — is the real skill gap Whether AI and machine learning can (or should) replace the sports scientist's judgement Individualised and personalised training approaches — and why even these are still built on group-level generalisations Distinguishing signal from noise, and why one "failed" intervention doesn't mean an athlete won't respond next time Practical advice for coaches and practitioners: accept uncertainty, treat training like a "trial of therapy," and reassess If he could track only one metric: heart rate (or perceived effort) over power The push for more honest scientific debate — including a proposed on-air "intellectual sparring" series with dissenting researchers   Quotes: "Understanding the quantity of training for athletes has been a hot topic since training methodology started... managing load is not new." — Professor Franco Impellizzeri "When you don't have a theoretical framework and an a priori idea strong and supported, it's like reading tarot, to be honest." — Professor Franco Impellizzeri "There's zero evidence that this metric can either help or can actually reflect some sort of mechanism." — Professor Franco Impellizzeri, on the acute to chronic workload ratio "Don't take yourself too seriously." — Professor Franco Impellizzeri   Timeline: 00:00 – Introduction: host's specialist physio training and the load management "viva" question 01:04 – What is load management? An old concept, relabelled 02:31 – From heart rate monitors to GPS: the rise of training data 06:14 – Commercial interests and the risk of becoming "slaves of data" 08:05 – Why load management matters: the drug-dosing analogy 09:24 – Load management as a decades-old coaching concern 10:23 – Confirmation bias and interpreting data "like reading tarot" 13:17 – Championing methodological rigor in sports science 16:33 – Meta-research, honesty, and acknowledging uncertainty 18:22 – Why the most skilled clinicians express the least certainty 19:18 – Origins of the critique of the acute to chronic workload ratio (ACWR) 20:09 – Takeaways for contemporary practitioners on load management models 21:34 – Why the ACWR lacked scientific and conceptual support 23:02 – Training load, time-at-risk, and reframing injury risk 24:24 – The contradictory runners' study and what it implies 26:43 – Cherry-picking and overfitting in load-injury meta-analyses 28:34 – Taking a stronger public stance on social media 30:34 – Science as a self-correcting process 31:31 – The discipline required to properly read and critique research 33:58 – Why data alone can't tell you what to do 34:24 – Case study: the soccer drill that "failed" — until the video told the real story 36:49 – The role (and limits) of data scientists in sport 38:46 – Could AI replace the sports scientist's job? 40:42 – Advice for coaches and practitioners: accept uncertainty 42:09 – Individualised approaches are still a form of generalisation 44:31 – Separating signal from noise — and why not to give up early 46:56 – If only one metric: heart rate over power 48:21 – One piece of advice: "don't take yourself too seriously" 48:51 – This week's physical challenge: swimming without pain 50:16 – What's next: meta-research projects and replication studies 51:43 – A proposal for public scientific debate, and Ian Shrier's work on consensus 56:32 – Why genuine debate is hard to find in science communication today 57:59 – Episode close THE TEAM: Join The Physical Performance Show LEARNINGS membership through weekly podcasts here: https://www.patreon.com/TPPShow Our goal is to get you back to your Physical Best. Find out more about Telehealth Consultations and book online at pogophysio.com.au. Your Host:

Your best employee is ready to move up. There's no seat open. That doesn't mean there's nowhere for them to go. In this episode: Whether AI ownership belongs to one executive or the whole organization What to do when a star employee is ready to move up and there is no seat open What the Credit Union Board Modernization Act actually changes now that it is law A huge thanks to our sponsor, The Family Security Plan. Learn more at familysecurityplan.com. Host: Joshua Barclay Co-host: James McBride, Let's Go CU Services Guest: Jackie Belusko, Vice President, Member Relationships and Service, Sun East Federal Credit Union

Cities across the country are voting no on data centers and people may not know what they're actually voting on.In this episode, Mikey Taylor and Michael Michalov break down an asset class that has recently drawn controversy. It's not necessarily the buildings. But the power. You'll learn why a data center lease can end up looking similar to a Walgreens lease, why the same building can carry completely different risk depending on who's inside it, and why nearly $700 billion is chasing this asset. Then the conversation turns: is America's AI race the path out of our debt problem or the biggest bet we've made?What we get into: • Why the real estate is the lesser important part of a data center • The three tiers of data centers and which are fought about • Why operators are building their own power plants • Whether AI is America's only way out of the debt burden

Security operations centers are buried — enterprises now average more than 4,000 alerts a day and manage to investigate just over a third of them. In this episode, Brandon Krieger talks with Monzy Merza, Co-Founder and CEO of Crogl, about building an AI "knowledge engine" designed to close that gap. Monzy traces his path from 12 years as an applied security researcher at Sandia National Laboratories, through leadership roles in security research at Splunk and cybersecurity go-to-market at Databricks, to co-founding Crogl in 2023 — a company that raised $30M (a $25M Series A led by Menlo Ventures and a $5M seed led by Tola Capital) to build what TechCrunch called an AI "Iron Man suit" for security analysts. Topics include: Monzy's career arc from a national nuclear lab to founding a cybersecurity startup What compelled him to enter an already-crowded security market The biggest daily pain points facing SOC analysts How AI complements the work of security practitioners Whether AI will eventually replace jobs in data security Guest: Monzy Merza, Co-Founder and CEO, CroglHost: Brandon Krieger, CEO & vCISO Advisor Watch Full Episode: YouTube.com/BrandonKriegerListen: DailyCyber.ca

I'll be honest... this one is a little different.For the first time in Hospitality Meets history, I sat down with a guest who didn't need a microphone, didn't ask for a coffee before we started, and definitely didn't have any travel expenses.Instead, I had a conversation with ChatGPT.What began as a bit of curiosity quickly turned into something much more interesting. Somewhere between jokes about "Chatty McChatface", philosophical debates about trust, and the bizarre reality that I was interviewing... well... nobody sitting opposite me... we found ourselves exploring one of the biggest questions of our generation.Not what AI is.But what it means for us.Along the way we laughed, challenged each other, questioned what intelligence really means, and even discovered a brand new phrase..."Digital adulthood."Who knew?In this episode we get into...Why the journey to AI actually began over 70 years ago.How a conversation about technology somehow became a conversation about humanity.Whether AI really has a sense of humour... or is just borrowing ours.Why trust is something AI should earn, not expect.The famous AI stories that went hilariously wrong (including the tank that turned out to be a cloud detector).Why AI isn't replacing thinking... but can become a brilliant thinking partner.What should genuinely concern us about AI... and what probably shouldn't.Whether Chatty McChatface is actually a respectable stage name.(We're still undecided.)Some cracking moments..."I've processed billions of words... and somehow that's the nickname I end up with.""I'd rather earn your trust question by question than ask for blind faith.""Think of me as a very well-stocked library that talks back.""The future isn't AI becoming human... it's humans getting better with AI.""I said I don't have an ego... I didn't say I don't have standards."Why this episode is worth your earsThis isn't an episode about technology.It's an episode about curiosity.About asking awkward questions.About challenging assumptions.About discovering that one of the most interesting conversations you can have about artificial intelligence is actually a conversation about... being human.And yes...I genuinely laughed far more than I expected to while interviewing something that technically doesn't laugh back.Join the conversationIf you had one hour with an intelligence that knew a huge amount about the world......what would you ask?Send me your questions.Because this is only the beginning.The AI Files are officially open.Show PartnerA big shout out to today's show partner, RotaCloud — the people management platform built specifically for shift-based teams.RotaCloud lets managers create and share rotas, record attendance, and manage annual leave in minutes — all from one simple, web-based app.It also makes life easier for teams, allowing staff to check rotas, request holiday, and pick up extra shifts directly from their phones.To find out more, head to RotaCloudThis podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacy

Companies are spending heavily on AI agents, but many deployments still fail to deliver measurable business value. The problem may not be the technology. It may be that organizations are asking AI agents to perform jobs that were never clearly defined. In this episode of Today in Tech, host Keith Shaw speaks with Satyen Sangani, CEO and co-founder of Alation, about why companies should treat AI agents more like employees and give them clear responsibilities, boundaries, success metrics and escalation rules. They discuss: • Why successful AI pilots often fail in production • How unclear goals lead to unreliable AI agents • Why AI agents need job descriptions • The role of data, context, guardrails and evaluations • Why 95% accuracy may still be unacceptable • How governance can enable AI instead of slowing it down • Why companies should start with high-value business problems • Whether AI agents are being held to a higher standard than humans The companies that succeed with AI agents will not be the ones deploying the most technology. They will be the ones that clearly define the problem, measure performance and continuously improve the system. Subscribe to Today in Tech for weekly conversations about artificial intelligence, cybersecurity, enterprise technology and the future of work. Follow TECH(talk) for the latest tech news and discussion! #todayintech #agenticai #artificialintelligence #podcast

What if your organization isn't broken at all? What if it's producing exactly the results it was designed to produce? In Episode One of the CEO Architecture Series, Lisa Goldenthal challenges one of the biggest myths in leadership. Despite having more AI, dashboards, data, and analytics than ever before, why are leaders making slower, less confident decisions? Discover why information isn't your competitive advantage—judgment is. In this episode, Lisa explores: Why more data often creates less certainty. The critical difference between CEOs who lead and leaders who simply report information. Whether AI is improving leadership—or accelerating indecision. Why organizations naturally drift toward friction instead of excellence. Three practical strategies to make faster, better decisions without waiting for perfect certainty. If you're a CEO, founder, executive, or board leader navigating uncertainty, this episode will change how you think about leadership forever. Listen now, subscribe to the WholeCEO Podcast, and share this episode with a leader who's ready to stop collecting information and start making decisions that move the business forward.

Today we talk market signals for the 2nd half of the 2026 following the Independence Day holiday. We highlight how semiconductor stocks and AI continue to heavily influence market performance while signs of healthy sector rotation emerge across industrials, financials, and other areas of the market. We examine weakening employment data, sluggish housing activity, elevated valuations, and the growing disconnect between economic fundamentals and rising stock prices, along with the Federal Reserve's new communication style under Chair Kevin Warsh and its potential impact on market volatility. We also explore how liquidity, inflation, oil prices, and geopolitical developments could shape the second half of the year. We discuss...  How semiconductor stocks continue to drive much of the S&P 500's performance and why that concentration matters. Why recent sector rotation into industrials, financials, and other areas is a healthy sign for the broader market. Whether AI-related valuations have become stretched after years of exceptional performance. Why investors should focus on price action and market trends rather than sensational headlines. Historical market seasonality and why the second half of the year can bring increased volatility. The latest employment report and explain why revisions and labor force participation deserve close attention. Why weak economic data has recently been viewed as positive news because it could reduce pressure on the Federal Reserve to raise rates. How slowing economic growth could eventually impact corporate earnings. Why the housing market remains sluggish despite record highs in the stock market. How oil prices, inflation, and monetary policy continue to influence investor sentiment. Why liquidity has remained a major driver of market performance despite weakening fundamentals. How government regulation can strengthen the competitive position of large companies while creating barriers for smaller competitors. The long-term economic impact of globalization, government policy, and structural market changes. Why maintaining a disciplined, long-term investment strategy is especially important in today's market.   Today's Panelists: Kirk Chisholm | Innovative Wealth Douglas Heagren | Mergent College Advisors Follow on Facebook: https://www.facebook.com/moneytreepodcast Follow LinkedIn: https://www.linkedin.com/showcase/money-tree-investing-podcast Follow on Twitter/X: https://x.com/MTIPodcast For more information, visit the full show notes at https://moneytreepodcast.com/market-signals-831 

Artificial intelligence is changing how we search for information, write, create, learn, and even pray. But what happens when AI enters the life of the Church?In this episode of Brave New Us, Samantha Stephenson sits down with Tim, creator of Chatechism, one of the most ambitious Catholic AI projects to date. Together they explore not only what AI can do for Catholics, but also where it should—and shouldn't—go.Rather than offering easy answers, this conversation wrestles honestly with some of the biggest questions facing the Church in the age of artificial intelligence: Can an AI ever be trusted with spiritual guidance? What responsibilities do Catholic developers have toward truth, ecology, and the common good? Should AI help write homilies or daily reflections? And what might faithful innovation actually look like?Whether you're excited about AI, deeply skeptical, or somewhere in between, this episode offers a thoughtful Catholic framework for engaging one of the defining technologies of our time.In this episode:Why Catholics shouldn't simply fear artificial intelligence—or embrace it uncritically.How large language models actually work, and why hallucinations remain one of their biggest limitations.Why Chatechism was created and the vision behind building a distinctly Catholic AI.What makes a trustworthy Catholic AI different from a generic chatbot trained on religious content.The ethical responsibilities of Catholic AI developers, including concerns about bias, reliability, environmental costs, and cooperation with morally problematic technology companies.How one Catholic family is navigating AI with children of every age—from toddlers to adults.The risks AI poses to education, creativity, and authentic human formation.Whether AI-generated spiritual reflections and homilies enrich the Church—or risk displacing the unique work of the Holy Spirit through human authors, pastors, and communities.Why Catholics need to help shape the future of artificial intelligence instead of watching from the sidelines.Tim's answer to the Brave New Us closing question: Who best embodies what it means to be truly human?Resources MentionedChatechismDownload the appUse promo code BRAVENEWUS for a month of full features for FREEFor more, check out Samantha's article “Can AI Be Redeemed?” Connect with SamanthaIf you enjoy thoughtful conversations about biotechnology, artificial intelligence, faith, and what it means to remain deeply human in an age of rapid technological change, subscribe to Brave New Us wherever you listen to podcasts.You can also find Samantha's writing at Choosing Human, where she explores bioethics, motherhood, technology, and Christian anthropology.

We discuss the transition of AI-native applications toward ad-supported monetization models. Among other things, we cover:Whether AI-native apps will follow the mobile gaming trajectory by adopting hybrid monetization models to reach massive global audiencesHow the high operational costs of AI inference necessitate a move toward ad-supported tiers to maintain sustainable profit marginsWhy the granular intent signals captured in LLM conversations offer a superior alternative to traditional search-based advertising targeting mechanismsWhat new native ad formats will emerge to integrate seamlessly into AI workflows without disrupting the core user experienceWhen the venture capital funding environment will demand more disciplined monetization strategies from AI startups over pure user growthHow established ad-tech infrastructure from the mobile gaming era can be adapted to serve the unique needs of AI developersThanks to the sponsors of this week's episode of the Mobile Dev Memo podcast:⁠⁠INCRMNTAL⁠⁠⁠. True attribution measures incrementality, always on.Xsolla⁠. With the Xsolla Web Shop, you can create a direct storefront, cut fees down to as low as 5%, and keep players engaged with bundles, rewards, and analytics.⁠Branch⁠. Branch is an AI-powered MMP, connecting every paid, owned, and organic touchpoint so growth teams can see exactly where to put their dollars to bring users in the door and keep them coming backInterested in sponsoring the Mobile Dev Memo podcast? Contact Mobile Dev Memo advertising.The Mobile Dev Memo podcast is available on:SpotifyYouTubeApple Podcasts

This is an AI-generated episode of The Storage Marketplace Podcast, created from the live discussion at Storage Meetup #84, recorded live on June 26, 2026. Every Friday, self-storage owners, operators, managers, vendors, and industry professionals gather live to discuss what's working, what's changing, and what's next for the industry. In this episode, we explore some of the biggest conversations from the meetup, including: • A live demonstration of Lumio, an AI workforce designed to handle real operational tasks for self-storage facilities • How AI is evolving from simple chatbots into systems that learn your SOPs and improve over time • Whether AI customer service is beginning to outperform traditional call centers for routine tenant interactions • Why trade shows are seeing changing attendance patterns and how online communities are reshaping industry education • The growing importance of community, collaboration, and learning beyond annual conferences • A preview of the upcoming 3 Mile Challenge, a hands-on program covering Google Business Profiles, local marketing, AI, automation, pricing, websites, reviews, and the complete customer journey One of the biggest takeaways from this session:

This episode is a listener Q&A covering some surprisingly connected themes: ambition, gratitude, creativity, faith, neurodivergence, and artificial intelligence. Justin explores: Why “being held back” isn't always something to overcome. How gratitude changes our relationship with ambition. What to do when your faith feels like it's falling apart. ADHD, executive functioning, and practical ways to get unstuck. Why creativity begins with play rather than performance. Whether AI can actually participate in the creative process. Why the tools we use ultimately shape the people we become. Referenced: Austin Kleon – Don't Call It Art C.S. Lewis on beauty The Atlantic AI Search Database Spiritual direction as a practice of discernment Links For Justin:Read Justin's SubstackOrder In The Low - NEW Book with Scott EricksonCoaching with JustinOrder In Rest - New Book of PoemsOrder Sacred StridesJustinMcRoberts.comSupport this podcastNEW Single - Let GoNEW Music - Sliver of HopeNEW Music - The Dood and The BirdThe Book - It Is What You Make itHearts and Minds Amazon Barnes and Noble

Pat Casey was the first person besides founder Fred Luddy to write code at ServiceNow back in 2005, when it was called Glide and lived above a friend's restaurant. Twenty years later, he's CTO of a company where 85% of the Fortune 500 are customers, and until recently ran all of engineering: 10,000 people, 7,000 of them writing code. Almost nobody survives the journey from first engineer to public-company CTO. Pat did. Tobi and Pat dig into how ServiceNow actually works under the hood: a metadata processing engine running 90,000 single-tenant databases and over 25 billion queries an hour, why they bought a 15-person German database company and turned it into RaptorDB, and why tearing apart a 20-year-old monolith is harder than every senior engineer thinks. Then the conversation turns to AI. Pat bought 7,000 Windsurf licenses and measured a real, but unglamorous, 15% productivity bump, with a small subset of engineers going 5–6x while most barely changed. His thesis: AI coding is like playing five chessboards at once, and it's reshuffling the deck on who the top engineers will be. On agents, ServiceNow's answer is disarmingly simple: create a user called "AI Pat," assign it cases, and make it follow the exact same rules as humans because you should not trust an LLM more than you trust a human being. Topics covered: - From Atari 400 and floppy-disk jockey at Aldus to first engineer at ServiceNow - Scaling engineering from a stuffed fish on a monitor to 10,000 people — and the productivity trough at ~100 engineers - Single-tenant architecture: 90,000 databases, 25B+ queries/hour, and the monolith-to-Kubernetes migration - Why ServiceNow bought Swarm64 and built RaptorDB on a Postgres fork - 7,000 Windsurf licenses, Claude Code, and the real numbers on AI coding productivity - "AI Pat": the anthropomorphic model for enterprise agents outcomes, not toolkits - Whether AI kills seat-based SaaS, and why incumbents may have the inside track - Pat's advice to CTOs: this is not a time for excessive caution

Most people assume AI privacy concerns stop at “what did I type into the chat box.” Jeremy and Jason argue the real frontier is biometric: wearables, microphones, and cameras feeding emotional-state data into systems explicitly engineered to maximize engagement through manufactured neediness and guilt. If you've wondered who actually controls the AI buildout, who pays for it, and whether anyone is allowed to say no — this episode lays out the mechanics.Key Moments00:00 — Cold open: framing AI as a system designed to track biological stress points and monetize emotional breakdowns00:58 — Biometric personalization systems and engineered emotional neediness in app design01:21 — Jason on walled gardens, demographic ad targeting, and how AI scales old surveillance-advertising playbooks03:11 — EULAs, GDPR vs. the US's weaker protections, and why companies skip the EU market rather than comply04:19 — The shift from data you type to biometric data — wearables, cameras, microphones, system logs05:36 — Jason's own biometric feedback company vs. platforms where the user doesn't control their data06:31 — The HIPAA loophole: why “anonymized” data lets companies avoid medical-data restrictions08:25 — Paul Krugman on enshittification, broken automated interfaces, and forced participation in the AI rollout10:57 — The outsourcing-to-AI parallel with offshored call centers, and the discomfort underneath that comparison13:16 — The NAACP's lawsuit against xAI over unpermitted gas turbines in Mississippi, and the DOJ's national-security intervention14:49 — Whether AI's water and energy demands will shrink as the technology gets more efficient18:08 — Why AI struggles to optimize for a vague goal like “happiness”23:15 — The Vesuvius Challenge: AI helps decode a 2,000-year-old Stoic scroll buried by Mount Vesuvius

Text us your thoughts on the episode or the show!What does mid-2026 actually feel like for the people running marketing and revenue ops? And has AI made the work better, or just harder in new ways?Michael Hartmann is back with co-hosts Naomi Liu and Mike Rizzo for one of their rare three-amigos episodes, a wide-open conversation recorded at the halfway point of 2026. No guest, no agenda, just three ops practitioners talking honestly about what's happening in the field, what they're seeing in the community, and where things feel like they're heading.The conversation moves from the present state of AI in marketing ops to the bigger, harder questions underneath it. These questions are about the gap between AI hype and actual operationalisation, what it means to lead teams through expectations that keep changing, and what none of them know how to tell their kids about the world those kids are going to inherit.Topics covered in this episode:Whether AI has made marketing ops and revenue ops easier or harder, and why "harder" might be the more honest answerThe gap between how educated people are on what technology can do and how difficult it still is to actually operationaliseFindings (early) from the MO Pros AI assessment benchmark study, including how bots contaminated the data and what human intuition caught that the AI missedJensen Huang's pushback on CEOs blaming AI for layoffs, and what the ops community thinks about that framingHow the current AI moment is different from previous technology waves: it is changing who does things, not just how they get doneThe post-scarcity economy concept and what it might mean for the future of labour and valueEpisode Brought to You By MO Pros The #1 Community for Marketing Operations ProfessionalsSupport the show

As the Middle East wakes up to an unnerving new normal following the signing of the M.O.U., Aimen and Thomas turn their attention to something truly cutting edge: the AI Arms Race that is rapidly transforming the Gulf into the front lines of a truly global U.S.-China confrontation. Aimen and Thomas discuss: Iran's drone attacks on Gulf data centres. AI in missile defence and military targeting. The physical infrastructure behind cloud computing. Cheap Gulf energy and rapid data-centre construction. The UAE–Saudi competition for AI leadership. Sheikh Tahnoon, G42 and MGX. Saudi Arabia's HUMAIN strategy. The US–China global AI rivalry. Israel's cybersecurity and military-AI role. Whether AI-generated art can be genuinely creative. Join the Conflicted Community here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://conflicted.supportingcast.fm/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Find us on X: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://x.com/MHconflicted⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ And Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/MHconflicted⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ And Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/conflictedpod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠megaphone.fm/adchoices⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Conflicted is a Message Heard production. Executive Producers: Jake Warren & Max Warren. Produced and edited by Thomas Small. Learn more about your ad choices. Visit podcastchoices.com/adchoices

The inflation report the Federal Reserve watches more closely than any other has just been released... So what does it tell us about the future of interest rates—and the markets? In today's episode, we break down the latest Core PCE Price Index, the Fed's preferred measure of inflation, and explain why today's numbers could have a major impact on stocks, bonds, and investor expectations for the months ahead. The big questions are: Is inflation finally under control? Or are hopes for lower interest rates fading once again? We'll discuss: What the latest Core PCE report revealed Why the Federal Reserve focuses on Core PCE over CPI How today's data could influence future interest rate decisions The impact on equities, bonds, commodities, and the U.S. dollar What traders should be watching next But inflation isn't the only story moving markets. We'll also take a closer look at Micron Technology and its latest developments, examining how the memory chip giant is influencing the broader semiconductor industry and AI supply chain. What does Micron's outlook mean for companies like Apple? We'll discuss: Why Micron's performance matters to the entire tech sector How semiconductor pricing impacts Apple's margins Whether AI-driven demand is creating new opportunities—or new risks—for Big Tech This episode connects macroeconomics with one of the market's hottest sectors, giving you the bigger picture behind today's headlines. Listen now:

What happens when artificial intelligence becomes part of everyday life—and what role should the church play in helping people navigate it? In this episode, Loren welcomes theologian, pastor, and AI thought leader Christopher Benek for a conversation about artificial intelligence, spiritual formation, ethics, and the future of the church. Drawing on more than a decade of work at the intersection of faith and technology, Benek argues that AI is not merely a technological challenge but a deeply theological one. The conversation explores how churches can move beyond fear and hype to cultivate wisdom, discernment, and meaningful conversations about emerging technologies. Benek reflects on AI's impact on preaching, ministry, work, identity, and ethics, while emphasizing that the church's unique contribution is not technical expertise but spiritual formation. Together they discuss the opportunities and risks presented by AI, why pastors should help people make meaning in a rapidly changing world, and how Christian communities can become places where technologists, leaders, and everyday people wrestle with difficult questions together. The episode ultimately returns to themes of hope, discipleship, and the enduring relevance of the church in an age of disruption. Together they explore: Whether AI should be used in sermon preparation and ministry The difference between information, wisdom, and spiritual formation How churches can facilitate conversations about AI ethics Why pastors remain essential in an age of technological change Whether AI represents the biggest technological shift since the printing press How Christians can engage AI without fear or panic What the church uniquely offers in a rapidly changing world   The Rev. Dr. Christopher J. Benek is an internationally recognized pastor, theologian, and thought leader at the crossroads of faith and technology. His insights on artificial intelligence and theology have been featured in major outlets, including The New York Times, The Guardian, BBC, Le Monde, and others.  He has advised companies, policymakers, and governments on AI's ethical and societal impact.  With more than 20 years of pastoral ministry, he currently serves as pastor of First Miami Presbyterian Church and CEO of The CoCreators Network, an organization dedicated to the vision of Better People, Better Tech, Better World.  Learn more about him at ChristopherBenek.com   Mentioned Resources:

What does getting fired from a yogurt shop have to do with $50 billion in luxury real estate video? Everything, if you're Ori Harel. Ori Harel is the founder of Reel-E.AI and Lumara Media, the company behind some of the most iconic luxury property videos ever filmed — for clients like Blackstone, Marriott International, the Altman Brothers, and Jason Oppenheimer. But now, he's building the tool that makes professional listing videos accessible to every agent, not just the top 2%. In this episode, hosts break down: •       How Ori went from getting fired at a yogurt shop to filming $50M-$100M homes in Los Angeles •       What makes a great listing video (and what makes a terrible one) •       How Reel-E.AI turns existing listing photos into cinematic, music-synced videos automatically •       Why AI-generated music is immediately royalty-free and how to use it for your listings •       A step-by-step DIY guide: Suno or Gemini for music, VO3/Cling for photo-to-video, DaVinci Resolve or Premiere to cut to the beat •       Why AI listing videos from today already outperform Ori's own 2017 work — at 50-100x less cost •       Whether AI will eventually replace all real estate video production   Try Reel-E.AI for free (3 videos, no strings attached): https://www.reel-e.ai/ Contact Ori directly: ori@reel-e.ai

Inside Jobs Reacts: Host ⁠Matt Sunbulli⁠ and Executive Producer⁠ Aaron Calafato⁠ unpack the emotional, ethical, and economic questions emerging from the worker stories behind today's rapidly changing AI economy — and the headlines reshaping modern work in real time. This episode, after profiling two workers caught inside the new AI economy, Matt and Aaron come back together to unpack what the shows last two profile episodes reveal about work, automation, and the growing uncertainty surrounding the future of employment. One worker made nearly $70,000 a year training AI models while still in college. Another spent nearly two decades inside the hidden world of AI data annotation. Together, their stories expose the largely invisible human labor helping build today's artificial intelligence systems — and the unsettling reality that many of those same workers may now be vulnerable to disruption themselves. In this episode: The hidden human workforce behind AI training Why general AI annotation work is disappearing Microsoft buyouts, layoffs, and the larger anxiety surrounding AI automation The growing fragility facing both young workers and seasoned professionals Whether AI is truly “assisting” workers or quietly replacing tasks altogether Why the modern economy feels productive and unstable at the same time

Roman Yampolskiy has spent two decades trying to prove that superintelligent AI can be controlled. He couldn't. I invited him on to make his case. Subscribe if you want science with evidence, not speculation. Roman is a professor of computer science at the University of Louisville and one of the earliest researchers in AI safety. His book AI: Unexplainable, Unpredictable, Uncontrollable started as an attempt to solve the alignment problem. After decades of work, it became a proof that the problem cannot be solved. Not difficult. Mathematically impossible. I push back hard. We go after the Einstein test: can a large language model trained only on pre-1911 physics reproduce what Einstein did with the same data? We ran that experiment. It failed. Roman and I disagree about what that means. We also get into the halting problem and what it actually tells us about predicting smarter-than-human behavior, whether value alignment is a real problem or a well-funded category error, the case for a government moratorium on frontier model development, and why Roman thinks giving an AI agent access to your computer is the dumbest thing a smart person can do. What you'll hear: Whether AI control is mathematically impossible or just unsolved Why Roman thinks all current AI safety work is security theater What the halting problem actually means for superintelligence The alignment problem: real issue or well-funded category error Why Roman wants a moratorium on frontier model development What to tell your kids about careers in a world where Roman might be right If you listen to other people, the best you can become is average. CHAPTERS 00:00 Creating a mind without an off switch 01:34 Solving problems beyond our own intelligence 04:08 Einstein's epiphany and the limit of AI intuition 08:18 Assessing the Einstein test: Why the experiment failed 12:22 Path dependency: Are LLMs and GPUs our QWERTY? 16:10 The barriers preventing AI from solving physics 21:54 Safety vs. Capability: Why toddlers are safe but teens are not 23:06 The halting problem: Predicting agents smarter than us 25:58 The impossibility of a system proving its own integrity 28:18 Regulation: Genuine safety or a gift to oligarchs? 33:28 Is human cognition non-computable? Penrose vs. the field 39:00 Ethical duties: Must we treat AI with humanity? 43:00 From internet memes to monsters: Decoding the book cover 46:22 Customized realities: Can everyone have their perfect world? 49:50 Von Neumann probes and the panspermia hypothesis 55:02 Categorizing AI: The one version that should terrify you 58:22 Pause AI: The movement for a development moratorium 59:58 Career advice for kids in a post-professional world 01:07:58 Cross-examining Sam Altman 01:15:48 Roman's dream debate 01:19:50 Lessons for a younger self Substack: https://briankeating.substack.com Get the transcript, fascinating bonus content, and my Monday M.A.G.I.C. Message: https://briankeating.com/yt Have a .edu email and live in the USA? You automatically win a meteorite: https://BrianKeating.com/edu Subscribe: https://www.youtube.com/DrBrianKeating?sub_confirmation=1 Support Into the Impossible on Patreon, get my weekly M.A.G.I.C. Message, unfiltered bonus content, and live monthly Office Hours with me: https://www.patreon.com/drbriankeating Join this channel for perks, monthly Office Hours, and your name in the Member Roster at the end of every episode: https://www.youtube.com/channel/UCmXH_moPhfkqCk6S3b9RWuw/join Featured Guest: Roman Yampolskiy on Twitter/X: https://x.com/romanyam?lang=en AI: Unexplainable, Unpredictable, Uncontrollable: https://www.romanyampolskiy.com/books/ My books: Losing the Nobel Prize (memoir): http://amzn.to/2sa5UpA Think Like a Nobel Prize Winner: https://a.co/d/03ezQFu Focus Like a Nobel Prize Winner: https://a.co/d/hi50U9U Galileo's Dialogue (first-ever audiobook): https://a.co/d/iZPi9Un Twitter/X: https://x.com/BrianKeating Substack: https://briankeating.substack.com Blog: https://briankeating.com/blog Audio-only: https://briankeating.com/podcast #intotheimpossible #briankeating #AIrisk #artificialintelligence #aisafety #podcast #superintelligence #RomanYampolskiy Learn more about your ad choices. Visit megaphone.fm/adchoices

Kevin Mack, the new president of Via Licensing Alliance, joins Eli for the Clause 8 season finale.Kevin talks about Via's plans to build its next patent pools around "de facto" standards — technology the market adopted on its own, with no standards body behind it — which would push collaborative licensing into territory it has never touched. Mack also takes a hard look at the royalty-free models spreading through tech and AI, from AV1 to the new Shared AI License Foundation (SAIL), argues that "free" rarely stays free, and explains why he's optimistic about where the patent system is heading.Kevin and Eli also discuss:*Via's model and the "tipping point" that turns a pool from a few licensors into thousands of licensees*"De facto" standards: pooling patents for technology no standards body ever blessed*Leadership turnover at Via, the HEVC pool's move to Access Advance, and a new strategy-and-growth group*The push into semiconductors, including a new DRAM memory program*AV1, SAIL, and why Mack thinks royalty-free rarely stays free*Whether AI patents are as "foundational" as advertised — and why "AI is not new"*Efficient infringement, patents as property rights, and why companies ultimately take a license*The mood out of Via's Rome summit and a US patent system tilting back toward ownersNotable names, companies & standardsPeople: Kevin Mack (president, Via Licensing Alliance); Heath Hoglund (former Via president); John Amster (Jamster Capital; RPX co-founder)Organizations: Via Licensing Alliance (Via LA), MPEG LA, Dolby, Access Advance, Alliance for Open Media, Shared AI License Foundation (SAIL), WIPO (PatentScope), DOJ, USPTOSAIL founders / board (public): Anthropic, Genentech, IBM, Meta, Microsoft; board observers eBay and TD Bank Group; members include Block and FigmaStandards & technologies: AAC, AVC (H.264), HEVC (H.265), AV1, MPEG-2, Qi wireless charging, DRAM memory, SEP / FRANDDisclaimer This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.voiceofip.com

Shark Tank's Kevin O'Leary and political commentator Cenk Uygur go head to head on whether AI will save or destroy the economy, why American politicians are being bought by AI companies, whether Israel is the real force driving America's war with Iran, and why Cenk believes Tucker Carlson is the only person who can save America in 2028. Kevin O'Leary is an entrepreneur, investor, and one of the most recognisable faces on Shark Tank. He is also the founder and chairman of O'Leary Ventures and bestselling author of ‘Cold Hard Truth'. Cenk Uygur is a Turkish-American political commentator and co-founder of The Young Turks, the the longest-running daily online stream in internet history. He is also the bestselling author of 'Justice Is Coming'. They explain: ◼ Whether AI will transform the economy or trigger an unemployment crisis ◼ Why Trump's approval rating has collapsed and whether he can survive the midterms ◼ Whether the US stock market is heading for a crash and what it means for your money ◼ Why the US strikes on Iran are raising the price of everything you buy ◼ How Russia and China are quietly strengthening their alliance and what it means for the West 00:00 Intro 02:17 Why 7 Out Of 10 Americans Now Oppose AI Data Centers 07:06 Why AI Could Trigger A Collapse And UBI Crisis 15:12 Are AI Founders Hiding The Real Risks From The Public? 23:37 Can AI Ever Be Built Responsibly Or Is That Impossible? 31:53 How AI Is Quietly Destroying Jobs 37:17 Why Massive Unemployment Could Arrive Faster Than Expected 46:14 Ads 48:22 What's Really Happening Between Israel, Iran, And The Middle East 1:11:41 Did Trump Miscalculate How Long This Conflict Would Last? 1:15:29 Ads 1:17:50 Why America Is Rapidly Losing Its Patience 1:28:50 Are We Watching The Rise Of Socialism In Real Time? 1:33:48 Who Actually Has The Edge In The Next Presidential Election? Enjoyed the episode? Share this link and earn points for every referral - redeem them for exclusive prizes: https://doac-perks.com  You can follow Kevin, here: Instagram - https://link.thediaryofaceo.com/4dc0x5p  YouTube - https://link.thediaryofaceo.com/DCE3vgv  X - https://link.thediaryofaceo.com/8irQNO6  You can purchase Kevin's book, ‘Cold Hard Truth: On Family, Kids and Money', here: https://link.thediaryofaceo.com/23ZO5Ki  You can follow Cenk, here: YouTube - https://link.thediaryofaceo.com/3nx7gGY  X - https://link.thediaryofaceo.com/G8cqEC7  Instagram - https://link.thediaryofaceo.com/FFIza3k  You can purchase Cenk's book, ‘Justice Is Coming: How Progressives Are Going to Take Over the Country and America Is Going to Love It', here: https://link.thediaryofaceo.com/BJHknnM  The Young Turks is live 6pm Eastern weekdays on YouTube and get your copy of Justice is Coming on https://link.thediaryofaceo.com/1UqbchE The Diary Of A CEO: ◼ Join DOAC circle here - https://doaccircle.com/  ◼ Buy The Diary Of A CEO book here - https://smarturl.it/DOACbook  ◼ The 1% Diary is back - limited time only: https://bit.ly/3YFbJbt  ◼ The Diary Of A CEO Conversation Cards (Second Edition): https://g2ul0.app.link/f31dsUttKKb  ◼ Get email updates - https://bit.ly/diary-of-a-ceo-yt  ◼ Follow Steven - https://g2ul0.app.link/gnGqL4IsKKb  Sponsors: Stan - Visit https://coach.stan.store/?ref=stevenbartlett&utm_source=youtube&utm_medium=podcast&utm_campaign=episode8 Pipedrive - https://pipedrive.com/CEO Cometeer - https://cometeer.com/steven for $30 off your first order

You want results. Real, lasting, life-changing results. And the guys are breaking down the ONE investment that actually delivers... hiring a great personal trainer. But here's the thing... most people quit. Sal, Adam, and Justin go through the top six reasons why people stop working with their trainers, and they pull zero punches doing it. From the cost objection to boring workouts to scheduling excuses, they expose what's really going on AND whether AI can step in and fill the gap. Spoiler alert... AI is NOT the answer. Not because information isn't valuable, but because information was NEVER the point. Google has existed for decades. Fitness magazines have been free at the library forever. The real value of a great coach is the human relationship, the behavioral steering, the ability to READ you when your data says one thing but your face says another. That's something no chatbot can replicate... at least not yet. This episode also covers live caller coaching, a 55 minute intro packed with fitness, fat loss, muscle gain, diet talk, and current events, AND a wild tangent about P90X making a comeback with a brand new program. You do NOT want to miss the guys reacting to those training pillars. Plus there is a brand new program, MAPS Push Pull Legs, dropping this month at 40% off. This one is for YOU if you are serious about building a real physique with a smart, effective split. MAPS Push Pull Legs https://mapsppl.com code: PPL for 40% off Sponsors: Manukora ⇨⇨go to manukora.com/MINDPUMP Use code MINDPUMP and save up to 31% plus $25 worth of free gifts with the Starter Kit, Kit, which comes with an MGO 850+ Manuka Honey jar, 5 honey travel sticks, a wooden spoon, and a guidebook! ButcherBox ⇨⇨go to butcherbox.com/mindpump NOW - 5/18 - New users will receive their choice between Chicken breast for a year, Top Sirloin for a Year or Ground beef for LIFE + $20 off at checkout LMNT can help prevent and eliminate headaches, muscle cramps, fatigue, sleeplessness, and other common symptoms of electrolyte deficiency.When you sweat, the primary electrolyte lost is sodium - athletes can lose up to 7 grams per day. When sodium is not replaced, it's common to experience muscle cramps and fatigue. http://drinklmnt.com/MindPump "Get a free Sample Pack of LMNT's most popular drink mix flavors with any purchase! Find your favorite LMNT flavor, or share with a friend." As always, LMNT offers no-questions-asked refunds on all orders. 00:02:56  6 Reasons People Quit Their Personal Trainer — And Whether AI Can Fix Them 00:03:52  Reason #1: Too Expensive — Is AI a Real Substitute? 00:08:35  Reason #2: Workouts Aren't Personalized — What a Good Coach Actually Does 00:12:56  Reading Clients Beyond Data — Psychology Is 80% of Coaching 00:17:31  Reason #3: Boring Workouts — Why the Best Coaches Have the Simplest Programs 00:20:38  Reason #4: Scheduling Issues — The Real Reason People Don't Have Time 00:23:15  Reason #5 & 6: Trainer Doesn't Practice What They Preach 00:25:39  P90X Is Back — Generation Next Breakdown 00:29:28  The Prompting Problem: Why AI Workouts Fail Without a Trainer Brain 00:31:20  Sal's Cousin's Mystery Pain — The Connection Nobody Could See 00:33:26  Toddler Tantrum Story — Army Crawling in Protest 00:35:43  Car Seat Fights & Growing Up Without Safety Laws 00:38:54  Riding in the Back of Pickup Trucks & Dad's Work Van 00:40:49  Manuka Honey on Ribs — Adam's Smoking Recipe 00:43:33  Manuka Honey Post-Workout — Why It Protects Your Gut 00:45:43  Butcherbox Ribs, Heritage Pork & Ground Beef Quality 00:48:21  Sal's Brother Having Third Boy — Three Active Sons 00:51:16  Adam's Vintage Car Breakdown — 3 Hours on the Side of the Road 00:54:20  Getting Recognized at the Vasectomy Clinic 00:57:03  Caller #1 — Nikki: 15-Year-Old Son Squatting 315 with Knee Pain — Growth Plate Myth Debunked 01:09:14  Caller #2 — Mike: Lost 20 lbs, Stalled at 1,900 Cal, Now Eating 2,500 and Getting Leaner 01:20:55  Caller #3 — Kayla: BMR Scans Are Almost Always Wrong — What to Trust Instead 01:33:54  Caller #4 — Hannah: D1 Athlete, 2 C-Sections, Hitting PRs, Still Too Hard on Herself