Podcasts about Wall Street

This episode was sponsored by Cardiff & Sugartime Inc.    LightSpeed VT: https://www.lightspeedvt.com/ Dropping Bombs Podcast: https://www.droppingbombs.com/ Today's Dropping Bombs episode features David Sugarman, the former Wall Street vice president who talked his way into the NBA Players Association without a law degree and built a one-stop business empire for pro athletes under his "Sugar" persona.   David breaks down signing New Edition with $900 to his name, then the fallout years later: a federal grand jury testimony against his best friend, Fugees co-founder Pras Michel, tied to fugitive financier Jho Low, Leonardo DiCaprio, and Obama campaign money — plus the jail stint and divorce that cost him everything.   Wall Street, the Fugees, a fugitive financier, and a fall from grace — this episode has all of it, and somehow David is still standing. This one needs to be heard, not summarized.     

Inspired by a generation's obsession with startups and brunch, this Wall Street relationship manager combines the two on a silver platter. Side Hustle School features a new episode EVERY DAY, featuring detailed case studies of people who earn extra money without quitting their job. This year, the show includes free guided lessons and listener Q&A several days each week.Show notes: SideHustleSchool.comEmail: team@sidehustleschool.comBe on the show: SideHustleSchool.com/questionsConnect on Instagram: @193countriesVisit Chris's main site: ChrisGuillebeau.comRead A Year of Mental Health: yearofmentalhealth.comIf you're enjoying the show, please pass it along! It's free and has been published every single day since January 1, 2017. We're also very grateful for your five-star ratings—it shows that people are listening and looking forward to new episodes.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcast Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Ashley M. Fox. Summary of the Interview In this episode of Money Making Conversations Masterclass, Rushion McDonald interviews Ashley M. Fox—former Wall Street analyst, Howard University alum, financial educator, and founder/CEO of Emplify, a fintech platform focused on making wealth‑building accessible to everyday people. Ashley shares her journey from working with ultra‑high‑net‑worth clients on Wall Street to becoming an entrepreneur determined to bring financial education and empowerment to communities traditionally excluded from wealth conversations. She discusses the creation of Amplify, her financial fall and recovery, her work in schools and prison systems, and how digital content has allowed her to scale her mission globally. The discussion emphasizes mindset, self‑belief, access, and a practical path to wealth, even starting with as little as $20. Purpose of the Interview The interview aims to: 1. Inspire financial empowerment Ashley explains how anyone—regardless of background or starting point—can begin building wealth and shift generational outcomes. 2. Demystify investing and wealth-building She breaks down how simple investing can be, the power of small consistent contributions, and how wealth isn’t limited to entrepreneurs or high earners. 3. Highlight her fintech platform Emplify She shares how Amplify democratizes financial education through online tools, community, and accessible investing classes. 4. Encourage a mindset shift Ashley stresses the importance of eliminating fear, building confidence, and using logic instead of emotion when making financial decisions. Key Takeaways 1. Wealth Begins with Belief and Mindset Ashley learned on Wall Street that the biggest difference between wealthy and non-wealthy people is not education—it's self-belief. Many people don’t believe wealth is possible for them because they've never seen it. 2. You Don’t Need a Lot of Money to Start Investing She urges people to start with $20, even buying fractional shares. It’s consistency—not starting amount—that builds wealth. 3. You Can Invest in Others’ Ideas—Not Just Your Own Building wealth doesn’t require launching a business. Buying stock is one of the easiest ways to participate in wealth creation. 4. Ashley’s Own Journey Included Failure After leaving Wall Street, she was evicted, slept on her parents’ couch for two years, and maxed out credit cards. Her purpose kept her going. 5. Financial Education Should Start Early She developed financial education programs for schools, prison systems, and everyday families because adults often learn too late. 6. Emplify Scales Wealth Education Her platform offers 300+ hours of videos and tools, helping members open 3,000+ investment accounts and invest $7.4M collectively. 7. Social Media Is Her Biggest Access Point Ashley reaches millions by being authentic, relatable, and consistent—meeting people where they are. 8. You Must Pay Yourself First Most people pay bills, companies, and creditors before investing in themselves. She emphasizes reversing that pattern. 9. Logic Over Emotion Wealth requires logical decision‑making, especially in the market. Emotional reactions undermine long-term financial growth. Notable Quotes (Taken From the Transcript) On Wealth Mindset “When you think and know and believe you have the power to create wealth and you deserve wealth, you move a different way.” “There is no president that can build the wealth that you can create for your family.” On Starting Small “You don't have to have a lot of money to start. You just have to have the will to begin.” “A whole lot of $20 can get you to a million—as long as you don’t stop.” On Investing “Consider the companies you give your money to and own them, because they are a lot cheaper than you think.” “If I’m helping you build a billion‑dollar business by using your products, I deserve a piece of the pie.” On Self-Reliance “You pay everybody… the bartender, the mortgage company—and you’re the one without money. Who’s going to worry about you?” On Purpose and Identity “My story never changed. The mission was always dedicated to the people I didn’t see coming into that building on Wall Street.” “Emplify is the movement. It just has my DNA.” #SHMS #STRAW #BESTSupport the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcast Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Ashley M. Fox. Summary of the Interview In this episode of Money Making Conversations Masterclass, Rushion McDonald interviews Ashley M. Fox—former Wall Street analyst, Howard University alum, financial educator, and founder/CEO of Emplify, a fintech platform focused on making wealth‑building accessible to everyday people. Ashley shares her journey from working with ultra‑high‑net‑worth clients on Wall Street to becoming an entrepreneur determined to bring financial education and empowerment to communities traditionally excluded from wealth conversations. She discusses the creation of Amplify, her financial fall and recovery, her work in schools and prison systems, and how digital content has allowed her to scale her mission globally. The discussion emphasizes mindset, self‑belief, access, and a practical path to wealth, even starting with as little as $20. Purpose of the Interview The interview aims to: 1. Inspire financial empowerment Ashley explains how anyone—regardless of background or starting point—can begin building wealth and shift generational outcomes. 2. Demystify investing and wealth-building She breaks down how simple investing can be, the power of small consistent contributions, and how wealth isn’t limited to entrepreneurs or high earners. 3. Highlight her fintech platform Emplify She shares how Amplify democratizes financial education through online tools, community, and accessible investing classes. 4. Encourage a mindset shift Ashley stresses the importance of eliminating fear, building confidence, and using logic instead of emotion when making financial decisions. Key Takeaways 1. Wealth Begins with Belief and Mindset Ashley learned on Wall Street that the biggest difference between wealthy and non-wealthy people is not education—it's self-belief. Many people don’t believe wealth is possible for them because they've never seen it. 2. You Don’t Need a Lot of Money to Start Investing She urges people to start with $20, even buying fractional shares. It’s consistency—not starting amount—that builds wealth. 3. You Can Invest in Others’ Ideas—Not Just Your Own Building wealth doesn’t require launching a business. Buying stock is one of the easiest ways to participate in wealth creation. 4. Ashley’s Own Journey Included Failure After leaving Wall Street, she was evicted, slept on her parents’ couch for two years, and maxed out credit cards. Her purpose kept her going. 5. Financial Education Should Start Early She developed financial education programs for schools, prison systems, and everyday families because adults often learn too late. 6. Emplify Scales Wealth Education Her platform offers 300+ hours of videos and tools, helping members open 3,000+ investment accounts and invest $7.4M collectively. 7. Social Media Is Her Biggest Access Point Ashley reaches millions by being authentic, relatable, and consistent—meeting people where they are. 8. You Must Pay Yourself First Most people pay bills, companies, and creditors before investing in themselves. She emphasizes reversing that pattern. 9. Logic Over Emotion Wealth requires logical decision‑making, especially in the market. Emotional reactions undermine long-term financial growth. Notable Quotes (Taken From the Transcript) On Wealth Mindset “When you think and know and believe you have the power to create wealth and you deserve wealth, you move a different way.” “There is no president that can build the wealth that you can create for your family.” On Starting Small “You don't have to have a lot of money to start. You just have to have the will to begin.” “A whole lot of $20 can get you to a million—as long as you don’t stop.” On Investing “Consider the companies you give your money to and own them, because they are a lot cheaper than you think.” “If I’m helping you build a billion‑dollar business by using your products, I deserve a piece of the pie.” On Self-Reliance “You pay everybody… the bartender, the mortgage company—and you’re the one without money. Who’s going to worry about you?” On Purpose and Identity “My story never changed. The mission was always dedicated to the people I didn’t see coming into that building on Wall Street.” “Emplify is the movement. It just has my DNA.” #SHMS #STRAW #BESTSee omnystudio.com/listener for privacy information.

On today's show, we're reviewing a new book by Andrew Ross Sorkin called 1929: Inside the Greatest Crash in Wall Street History, and How It Shattered a Nation.Sorkin is best known for Too Big to Fail, his account of the 2008 financial crisis. In this book, he goes back nearly eighty years earlier to examine the most famous market collapse in American history.Most people know the basic outline. The stock market rose dramatically during the Roaring Twenties. Speculation took hold. The market crashed in October of 1929, and the Great Depression followed.But knowing the outline is not the same as understanding what happened.Sorkin's strength is narrative. He takes a complicated financial event and tells it through the people who experienced it. Bankers, traders, politicians, regulators, journalists, and ordinary investors appear not as distant historical figures, but as human beings operating under pressure.The book's central lesson is not simply that markets can fall. Everyone already knows that.The deeper lesson is that intelligent, experienced people can see warning signs and still fail to act.Why?Because the incentives of the moment are often stronger than the consequences of the future.-------**Real Estate Espresso Podcast:** Spotify: [The Real Estate Espresso Podcast](https://open.spotify.com/show/3GvtwRmTq4r3es8cbw8jW0?si=c75ea506a6694ef1)   iTunes: [The Real Estate Espresso Podcast](https://podcasts.apple.com/ca/podcast/the-real-estate-espresso-podcast/id1340482613)   Website: [www.victorjm.com](http://www.victorjm.com)   LinkedIn: [Victor Menasce](http://www.linkedin.com/in/vmenasce)   YouTube: [The Real Estate Espresso Podcast](http://www.youtube.com/@victorjmenasce6734)   Facebook: [www.facebook.com/realestateespresso](http://www.facebook.com/realestateespresso)   Email: [podcast@victorjm.com](mailto:podcast@victorjm.com)  **Y Street Capital:** Website: [www.ystreetcapital.com](http://www.ystreetcapital.com)   Facebook: [www.facebook.com/YStreetCapital](https://www.facebook.com/YStreetCapital)   Instagram: [@ystreetcapital](http://www.instagram.com/ystreetcapital)  

Geek grads are a hot commodity right now. AI companies and Wall Street are fighting to hire them. Plus, cold calling is trending on TikTok. We share our old school sales stories. Learn more about your ad choices. Visit megaphone.fm/adchoices

Het is een beetje een saai, ouderwets en gedateerd techbedrijf, maar tóch moet je erop letten, zegt onze gast, Jos Versteeg van InsingerGillisen. Infineon! Een Duits techbedrijf, volgens Jos in de verste verte niet vergelijkbaar met bijvoorbeeld TSMC, daar is de techniek te oud voor. Tóch vindt hij de cijfers interessant, omdat ze chips leveren voor datacenters. Daar hoopt hij meer over te horen. We kijken vooruit op de cijfers, en ook een klein beetje op die van AMD. In Beurs in Zicht stomen we je klaar voor de beursweek die je tegemoet gaat. Want soms zie je door de beursbomen het beursbos niet meer. Dat is verleden tijd! Iedere week vertelt een vriend van de show waar jouw focus moet liggen. Te gast: Jos Versteeg van InsingerGillisen BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Je hoort hem ook in de BNR-podcast Moerdijk: dorp van de rekening. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie.See omnystudio.com/listener for privacy information.

Caitlin Rea Clark, the daughter of a New York socialite and stepdaughter of a Wall Street financier who first joined the show on Episode 964's Saturday Series to talk about her larger-than-life parents, returns to share her own experience with postpartum depression — from the crushing anxiety and shame she hid from everyone around her to the difference proper treatment made the second time around. Reality Life with Kate Casey Summer Reading List: https://katecasey.substack.com/p/books-i-cant-stop-talking-about-this Vanity Fair Article: https://www.vanityfair.com/culture/story/martha-moxleys-diary What to Watch List: https://katecasey.substack.com Patreon: http://www.patreon.com/katecasey Instagram: http://www.instagram.com/katecaseyca Tik Tok: https://www.tiktok.com/@itskatecasey?lang=en Facebook Group: https://www.facebook.com/groups/113157919338245 Amazon List: https://www.amazon.com/shop/katecasey Twitter: https://twitter.com/katecaseySee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Jordi Visser is a veteran macro investor with 30+ years of experience and the author of the VisserLabs Substack. In this conversation, we break down the Leopold Aschenbrenner hedge fund unwind, the market crashes in South Korea and Japan, Kevin Warsh and the Fed's next move, and the case for compute scarcity as AI demand outpaces supply. We also discuss tokenization and why bitcoin remains the ultimate hedge and store of value in a world being reshaped by AI.======================Arch Public is an agentic trading platform that automates investment strategies across Stocks, Commodities, ETFs and Crypto. Whether you're rotating into AI & Gold, allocating to the S&P 500, or accumulating Bitcoin, Arch Public executes your plan 24/7 without ever taking custody of your assets or funds. Sign up today at https://www.archpublic.com, and start your FREE automated trading strategy! ======================Figure's $160k Community Appreciation (https://www.figure.com/crypto-community-appreciation/T&Cs (https://www.figure.com/crypto-community-appreciation/disclosures/) Need liquidity without selling your crypto? Take out a Figure Crypto-Backed Loan, allowing you to borrow against your BTC, ETH, or SOL with 12-month terms, 8.91% interest rates, and no prepayment penalties. Or check out Democratized Prime (https://figuremarkets.co/pomp) and earn ~8.5% APY on real world assets.Unlock your crypto's potential today at Figure! https://figuremarkets.co/pomp Figure Lending LLC dba Figure (NMLS 1717824). Loans subject to approval. Crypto collateral may be liquidated. Terms apply - see full disclosures at http://figure.com/disclosures/======================0:00 - Intro0:48 - Leopold's fund unwind & lessons from past blowups 9:21 - Hedge fund leverage & how AI is reshaping market structure11:45 - Korea & Japan's market collapse13:56 - AI will destroy all public companies?15:20 - The bull case for hyperscalers & compute scarcity27:44 - Why bitcoin is the best hedge fund ever29:12 - Kevin Warsh & the Fed33:48 - Does this help Wall Street or Main Street?36:47- Advice for a 25-year-old starting their career today41:18 - Bitcoin & the rest of crypto industry48:52 - Migration, digital money & the breakdown of borders57:56 - What Jordi is covering in his next video

Here's a look at the week ahead on Wall Street.

 Chris Markowski, the Watchdog on Wall Street, discusses the current financial landscape, emphasizing the importance of understanding market dynamics, the role of the Federal Reserve, and the impact of government intervention on economic growth. He critiques financial journalism for its lack of accountability and stresses the need for financial literacy and personal responsibility in investing. Markowski also explores the commodification of financial news and how advertising influences coverage, urging listeners to take ownership of their financial decisions.

Chris Markowski, the Watchdog on Wall Street, discusses the current state of the financial markets, emphasizing the importance of understanding market volatility and the risks associated with leveraged investments. He warns listeners about the dangers of chasing trends and the prevalence of affinity fraud and annuity scams targeting unsuspecting investors. Markowski advocates for sound investment strategies and the necessity of being informed and prepared to navigate the complexities of the financial landscape.

จินตนาการถึงเด็กหนุ่มวัย 24 ปีที่เพิ่งถูกไล่ออกจาก OpenAI แต่กลับมาสร้างกองทุน Hedge fund มูลค่าทะลุ 45 Billion Dollars หรือกว่าล้านล้านบาทได้ในเวลาไม่นาน เขาคือดาวรุ่งที่ร้อนแรงที่สุดใน Wall Street แต่ความบ้าคลั่งคือ เงินมหาศาลทั้งหมดนี้กลับอันตรธานหายวับไปในเวลาเพียงแค่ 3 วัน พอร์ตถูกบังคับขายล้างเกลี้ยงจนเกิดการเทรดระดับมโหฬารที่สั่นสะเทือนไปทั้งตลาด วันนี้เราจะมาเจาะลึกมหากาพย์ความโลภ การใช้ Leverage ดาบสองคม และทฤษฎีสมคบคิดสุดดาร์กที่ว่ากันว่า นี่อาจเป็นการปล้นกองทุนที่แนบเนียนที่สุดในประวัติศาสตร์ เกิดอะไรขึ้นกับอัจฉริยะคนนี้ และใครคือฉลามตัวใหญ่ที่ฮุบเค้กก้อนนี้ไป #ล้างพอร์ต #หุ้นAI #ข่าวการเงิน #ตลาดหุ้นสหรัฐ #บทเรียนการลงทุน #กองทุนล่มสลาย #ข่าวเศรษฐกิจ #ลงทุนหุ้น #HedgeFund #WallStreet #MarginCall #การเงินการลงทุน #เทรดหุ้น #วิกฤตหุ้น #Leverage #geekstory #geekforeverpodcast

Listen to Jim Cramer's personal guide through the confusing jungle of Wall Street investing, navigating through opportunities and pitfalls with one goal in mind - to help you make money. Mad Money Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

P.M. Edition for July 31. ExxonMobil and Chevron had a blockbuster quarter after the Iran war disrupted energy markets. Journal reporter Collin Eaton discusses the historic refining margins they're enjoying. Plus, America's lettuce growers are facing a steep decline in sales because of the cyclospora outbreak. As WSJ's Amira McKee explains, that's forcing some to make some tough choices about what to do with their current crops. And Apple saw a record decline in market cap after the iPhone maker's disappointing outlook. Alex Ossola hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The week was dominated by hedge fund Situational Awareness being forced to sell its equity holdings, leading to both a drop and a pop in AI-related stocks. What went wrong and what can we learn? Plus, we discuss why hyperscalers are moving in opposite directions, why Tesla may leave China, and the stocks on our radar. Travis Hoium, Lou Whiteman, and Jason Moser discuss: - Situational Awareness - Leverage Gone Wrong - Hyperscaler Divergence - Would You Rather? - Tesla in China - Stocks On Our Radar Companies discussed: Tesla (TSLA), GM (GM), Eli Lilly (LLY), Novo Nordisk (NVO), JPMorgan (JPM) SoFi (SOFI), SpaceX (SPCX), Costco (COST), Target (TGT), L3Harris (LHX), Keysight (KEYS). Host: Travis Hoium Guests: Lou Whiteman, Jason Moser Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit ⁠⁠⁠⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode 4193 │ July 31, 2026 $700 billion into AI data centers. Zero measurable GDP growth outside the spending itself. Wall Street is starting to notice. The people already knew. WHAT THIS EPISODE COVERS  Scott Kesterson closes out July — and a 26-day fast — with the most complete economic deconstruction of the AI hyperscaler model yet: a $700 billion annual capital expenditure cycle producing zero detectable macroeconomic productivity gain outside the tech sector itself, a circular financing structure Bloomberg mapped as Microsoft, OpenAI, and Nvidia essentially paying each other in a Ponzi loop, and AI stocks now representing 35% of the S&P 500 against a hollowed-out industrial base — making the current vulnerability structurally worse than the 1999 dot-com collapse, when America still made things. The episode then delivers the counter-narrative the hyperscalers did not see coming: consumer trust in AI as a decision-maker collapsed 28 points in 12 months, 50% of Gen Z is blocking AI-generated content, and what is actually emerging is not AI dependence but AI-assisted human discernment — people using the tool as a librarian rather than an oracle, making their own decisions better while refusing to let the machine make decisions for them, which is precisely why the profit model is breaking. Scott closes with the local sovereignty frame that underlies every episode — the real fight is land and water, not the building; the Community Sovereignty Framework v1.2 is free under every episode; and the people walking in the authority of Christ without fear of the tool are already winning, because the numbers confirm it. KEY QUESTIONS ADDRESSED What does the Deutsche Bank analysis of AI capital expenditure reveal — and why does $700 billion in annual hyperscaler spending producing zero measurable GDP growth outside the spending itself mean the AI economic model is structurally identical to the 1999 dot-com bubble, except with far less underneath it when it falls? What is the difference between AI as oracle and AI as librarian — and why does the collapse of consumer trust in AI decision-making alongside rising AI usage actually represent the most positive possible sign about human discernment and the people's capacity to use a tool without being used by it? Why does Scott argue that the real target in the fight against AI data centers is not the building or the company but the land and water rights that Wall Street will retain when the Ponzi loop collapses — and what does the Community Sovereignty Framework v1.2 give communities to fight that specific battle? ABOUT BARDSFM BardsFM is a daily independent podcast covering faith, liberty, history, and information warfare. Hosted by Scott Kesterson — combat veteran, documentary filmmaker, and rancher. Over 4,100 episodes and 50 million lifetime downloads. New episodes every weekday. bards.fm This episode was researched and produced under the Spatial Terra Intelligence Methodology (STIM v5) — the analytical framework built by Scott Kesterson — with AI-assisted research synthesis at a 70/30 human/AI authorship ratio, fully disclosed. All analysis, conclusions, and editorial judgments are those of Scott Kesterson. BardsFM's archive includes hundreds of episodes on prayer, scripture, and walking the Way of Christ — available free in the full episode catalog. DOWNLOADS Community Sovereignty Framework: click here AFFILIATE LINKS Bards Nation Health Store: www.bardsnationhealth.com MYPillow promo code: BARDS >> Go to https://www.mypillow.com/bards and use the promo code BARDS or... Call 1-800-975-2939.  EMPShield protect your vehicles and home. Promo code BARDS: Click here Treadlite Broadforks...best garden tool EVER. Promo code BARDS26: TreadliteBroadforks.com EnviroKlenz Air Purification, promo code BARDS to save 10%: www.enviroklenz.com Morning Intro Music Provided by Brian Kahanek: www.briankahanek.com Founders Bible 20% discount code: BARDS >>> TheFoundersBible.com Windblown Media 20% Discount with promo code BARDS: windblownmedia.com White Oak Pastures Grassfed Meats, Get $20 off any order $150 or more. Promo Code BARDS: www.whiteoakpastures.com/BARDS Mission Darkness Faraday Bags and RF Shielding. Promo code BARDS: Click here DONATIONS: If you wish to support this podcast directly you can donate here... DONATE: Click here MAILING ADDRESS: Xpedition Cafe, LLC Attn. Scott Kesterson 591 E Central Ave, #740

Bryan M. Bowden is an internationally recognized researcher, broadcaster, author, entrepreneur, and speaker whose work spans UFOs, cryptids, paranormal investigations, consciousness studies, remote viewing, and other unexplained phenomena. A native of New York City and a graduate of Pace University with a degree in International Finance, Bryan began his career in global finance, working with initiatives involving the International Monetary Fund (IMF), the World Bank, and leading Wall Street broker-dealers. He eventually transitioned from the corporate world to pursue his lifelong passion for investigating the unknown, dedicating decades to field research and media production.An active investigator since 1977, Bryan has explored countless reports involving Bigfoot, Dogman, UFOs, hauntings, psychic phenomena, and human consciousness. He is the creator and host of the popular YouTube series Third Eye Live, where he interviews leading researchers and experiencers while examining topics such as intuition, spiritual awakening, hidden knowledge, and UFO disclosure. Bryan has appeared on the Travel Channel, Discovery+, UFO Witness, Spaced Out Radio, documentaries, podcasts, and conferences throughout North America. Also an accomplished musician, artist, published author, remote viewer, and psychic medium, Bryan—known to many as Sir Bryan for his affiliation with the Knights Templar—continues to explore the mysteries that exist beyond conventional understanding.Spaced Out Radio is your nightly source for alternative information, starting at 9pm Pacific, 12am Eastern.  We broadcast LIVE every night. #UFO #UAP #AlienDisclosure #UFOSightings #UFOCoverUp #Aliens #SpacedOutRadio #Paranormal #UFOCommunity #disclosure -------------------------------------------------------You can now join the Space Traveler's Club;Join us at  https://www.patreon.com/sor_space_travelers_club  --------------------------------------------------------Grab Our Latest Spaced Out Radio Gear At:http://spacedoutradio.com/shop  It's a great way to support our show!--------------------------------------------------------OUR LINKS:TWITTER: https://www.twitter.com/spacedoutradio   FACEBOOK:https://www.facebook.com/spacedoutradioshow  SPACED OUT RADIO - INSTAGRAM:https://www.instagram.com/spacedoutradioshow  DAVE SCOTT - INSTAGRAM:https://www.instagram.com/davescottsor   TWITCH: https://www.twitch.com/spacedoutradioshow  WEBSITE: http://www.spacedoutradio.comGUEST IDEAS OR QUESTIONS FOR SOR?Contact Klaus at bookings@spacedoutradio.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/spaced-out-radio--1657874/support.

AI investing continues to shape markets as artificial intelligence (AI) moves beyond software and into the physical infrastructure of the global economy. From data centers and chips to space-based compute, autonomous trucks and humanoid robotics, the AI buildout is creating new questions about scarcity, supply chains and where value may accrue next.In this episode of The Bid, host Oscar Pulido is joined by Tony Kim, Head of the Global Technology Team within BlackRock Fundamental Equities. Fresh from his 13th annual technology tour across San Francisco and Silicon Valley, Tony shares what he heard from leading innovators and how the AI conversation has evolved from model development to compute, infrastructure, physical AI and the changing shape of the technology stack.Tony explains why AI investing may increasingly require looking across multiple layers of the ecosystem: the physical layer of power, chips, data centers and cloud infrastructure; the intelligence layer of foundation models; and the application and services layer where disruption remains a central question. The discussion also explores how AI is creating both scarcity and abundance, why data center demand is reshaping supply chains, and how countries and companies tied to the compute build-out may be positioned differently from more service-oriented parts of the market.Check out our previous tech tour episodes with Tony Kim:2025 - https://open.spotify.com/episode/6ffqOgM2CDbJGEoaWjgjIP?si=418fdf5f886c4f622024 - https://open.spotify.com/episode/3ruCZNZ7vHghypqwnQzslg?si=e62206f037df409bKey moments in this episode:00:00 Introduction01:57 AI Wave Expands - How AI investing is expanding from model development into space, robotics and physical systems.05:28 AI Goes To Space - How low Earth orbit satellites could create new forms of AI data and, potentially, new compute architectures.07:51 Physical AI Adoption - Why autonomous vehicles, self-driving trucks and humanoid robots are part of the broader physical AI story10:00 Rewiring The Internet14:38 Where To Invest Now - How the shift in market value toward compute and model-centric companies is reshaping stock market trends.18:55 Risks And Optimism22:38 Wrap Up And What's Next on The Bid AI investing, artificial intelligence, technology investing, capital markets, megaforces, data centers, robotics, stock market trendsSources: BlackRock Fundamental Equities analysis of AI-related capex spending through 2030, as of July 2026; “How much does a GW of data center capacity actually cost” Investing.com, 2025; S&P Global Indices as at July 14th 2026This content is for informational purposes only and is not an offer or a solicitation. Reliance upon information in this material is at the sole discretion of the listener. Reference to any company or investment strategy mentioned is for illustrative purposes only and not investment advice. In the UK and non-European Economic Area countries, this is authorized and regulated by the Financial Conduct Authority. In the European Economic Area, this is authorized and regulated by the Netherlands Authority for the Financial Markets. For full disclosures, visit blackrock.com/corporate/compliance/bid-disclosures.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most companies measure financial performance with precision—but struggle to measure the true value of their people.In this episode of Time to Reset, Penny Zenker sits down with entrepreneur and former Wall Street investment banker Jacob D. Chase, founder of The INFIN, to explore a new approach to measuring human capital, employee contribution, and organizational value.As AI transforms the workplace and top performers create exponentially more value, traditional performance reviews and compensation models are becoming outdated. Jacob explains why annual reviews often miss the employees making the biggest impact—and how organizations can use collective feedback to build a more accurate, fair, and motivating system.In this conversation you'll learn:Why traditional performance reviews failHow to measure employee contribution beyond job titlesThe connection between culture, performance, and business resultsHow AI is widening the gap between average and exceptional performersWhy crowdsourced feedback creates fairer compensation decisionsHow to identify hidden high performers before they leaveA new way to think about meritocracy, employee engagement, and leadershipWhether you're a CEO, HR leader, manager, entrepreneur, or team leader, this conversation offers practical insights into creating a workplace where people are recognized for the value they actually create.If you're ready to rethink performance management, employee recognition, and modern leadership, this episode is for you.Love the show? Subscribe, rate, review, and share! https://pennyzenker360.com/positive-productivity-podcast/

In this episode, we kick things off with a massive equipment theft bust as law enforcement officers across the Carolinas recovered ⁠thirteen semi-trucks, three trailers, and two motor vehicles worth over one million dollars⁠ during an ongoing Florence County investigation. Two North Carolina men face grand larceny and conspiracy charges for allegedly stealing nine commercial motor vehicles between November 2022 and October 2025, with the eighteen-vehicle recovery highlighting the critical importance of fast reporting and secure parking controls. Next, we explore the less-than-truckload sector where ⁠XPO delivered record-breaking second-quarter results that crushed Wall Street expectations⁠ with adjusted earnings per share of one dollar and seventy cents. The Greenwich-based carrier's LTL unit posted a seventy-nine point nine percent adjusted operating ratio, three hundred basis points better year-over-year, with management declaring the industry is still in the early innings of a multiyear double-digit rate growth cycle. Finally, we cover how ⁠Saia's softer full-year margin outlook sent shares tumbling twelve percent⁠ in midday trading Thursday despite delivering better-than-expected quarterly earnings. The Johns Creek carrier now expects to hit the lower end of its guidance range, with the addition of thirty-three new service centers since 2022 dragging on margins as these fresh facilities still trail the legacy network with operating ratios in the low-ninety percent range. ⁠Follow the FreightWaves Today Podcast⁠ ⁠Other FreightWaves Shows⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Competing in a Future World of Infinite Intelligence Navigation: Intro From Knowledge Workers to Judgment Workers The AI-Native Company: Org, Hiring, Culture The Human Element: Are We Underestimating It? Scenarios Our Take Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show:   Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Nuno Gonçalves Pedro Introduction Welcome to episode 79 of Tech DECIPHERED. Today, we take a leap into the big unknown. This is a thesis episode, not your classic analysis, in-depth sharing episode. The big idea for this episode is that we may be approaching the cognitive age, and how would one, or how would a company compete in a world of infinite intelligence? The big idea, again, is that intelligence, which has been mostly scarce and expensive for all of human history, might become abundant and cheap. If that happens, what happens to work, what happens to companies, what happens to society? This episode will be really framing a lot of these discussions. From knowledge workers to judgment workers, addressing the AI native company and how does that change, going into the human element and whether or not we’re underestimating it, and finally, ending up going into scenarios, feasible scenarios of a future where, well, intelligence is abundant. Intelligence is quasi-infinite or infinite itself.Bertrand Schmitt Yes. Big questions for this episode 79. From Knowledge Workers to Judgment Workers We can start with from knowledge workers to judgment workers. Let’s go back first to how came the knowledge worker. It’s a 20th-century invention from Peter Drucker in 1959. The idea here is that that category might be splitting. The production of knowledge itself is on its way to being commoditized by AI. However, our perspective is that judgment around production of knowledge is not disappearing and is staying for a bit control managed by humans. What’s your take on this, Nuno? Do you agree with this split?Nuno Gonçalves Pedro I think it’s a little bit more profound than that. It’s not just judgment. Definitely, human judgment will be needed. We’ve seen agents perform all sorts of funny things in the wrong way when left alone to their own devices. Even some very well-known AI researchers coming forward and saying, “Hey, I tried to use this myself, and actually I messed up some of my systems,” or “I messed some of my code. I messed up some of my flows for a period of time.” I think just having human-in-the-loop from a judgment standpoint will be needed for a significant amount of time. That is something you can’t just delegate into machines, into algorithms, et cetera. The second part is, ultimately, there needs to be contextualization, and that contextualization, I think, comes from two forms. One from actual data, where the machine, I think, at some point will catch up, or the machines will catch up. The algorithms, at some point, on the data analysis will get better and better and have probably the closest to the truth that you can get, minus all the biases that are in the data, just to be clear, because data has a ton of biases. We’ve looked at this in the past and discussed it at prior episodes. But maybe on that, I think the machine has a chance to catch up, or the machines have a chance to catch up, so there’s less of distinctiveness from the human standpoint. But then, on just the attributes, the ability when you’re judging some situation, you’re in the middle of the situation. You’re judging the person and how it’s acting, in some ways, a lot of the things that end up happening, end up happening because there’s human interaction. There’s someone on the other side. I see how they’re delivering the message, how they’re implicating. We’ll talk about it later in the context of the organization and what changes in companies. I don’t think it’s just judgment. I think there’s a little bit more than that. One of the reasons I went to the dark side of management early on in my career from being an engineer was Peter Drucker and this notion of the knowledge worker, which he later on reemphasized with the publishing of his book, which for me was seminal and defined a lot of my career in life, the post-capitalist society, which is this notion that information rich and information poor is going to be the key distinctiveness that will happen in the world. The two big camps, information rich, information poor, which links back to this invention of the term knowledge worker, that knowledge is going to be key in some ways. I think that’s what we’ve seen for the last decades. Again, I think judgment is not going anywhere, but I think it’s beyond judgment. There’s elements of humanity and involvement that won’t go away anytime soon, where human-in-the-loop are particularly critical. We’ll discuss later some scenarios, but for me, that’s my stick in the ground. I think human-in-the-loop is going to be critical for many decades to come.Bertrand Schmitt While we are talking about all of this, and we share some possible scenarios, there is always that question. This is moving so fast right now. If you think about AI 10 years ago, AI 5 years ago, AI with the launch of ChatGPT 3, and then AI the past 2 years, now we have agents that are running at scale. Things are moving very fast. I can tell you, me in 6 months, the change has been pretty dramatic in terms of what I can use AI for. There is always that question that whatever we are thinking about cannot just be connected to what we were able to do 6 months ago or even today, we have to think and project ourselves at least in the next 6–12 months. Of course, we can go beyond that, and we will do that with some future scenarios, but it’s a very fast-moving, and it’s not clear yet where are the limits.Nuno Gonçalves Pedro I think that’s a very fair point. Let me try to analyze things that I don’t think will change anytime soon for the next few years. Agreed with you that many things will change, and we’ll have a lot better tools, platforms out there. That will be difficult to predict what exactly won’t change. I think there’s elements of humanity, and some of them do relate to judgment, like having good or bad taste, having a view on it, on whether something looks good or bad. Obviously, all of this sometimes is subjective, but some of it may not be as subjective as people think it is. The elements of contextualization. I think a little bit going back to what we did at Chamaeleon ourselves, where we built this platform, Mantis, and the objective of building Mantis was not really to replace us, was that it was a core augmentation layer in some ways that we would use investment or investor judgment as humans in the loop to systematize pattern recognition and a variety of other things, but that Mantis would really elevate all that judgment, not just in terms of timing, us being more productive, but also in terms of the quality of the decisions we’re making. Think of it as a little bit like having our human judgment in the context of operating Chamaeleon at a higher altitude, where we are more aware of the things that are happening and how they actually happen. The ability to really get to the data pieces and then make decisions on top of that that generate the needed alpha in our case for investors. What I mean by this is I think there’s always going to be core elements of humanity that I do think are going to be difficult for the machines to replace. For example, the taste piece people are like, “I can figure out what’s the taste in the market.” Yeah, but that’s mainstream. That doesn’t identify what’s the next big thing, which normally doesn’t start from mainstream. It starts from something else. It could start from opinion leaders and influencers. It could start by someone having a different way of addressing a problem and having a solution that hasn’t been thought through. For example, elements of creativity, I think, in human judgment and in human operations is something that I feel the machine will still have difficulty to replace.Bertrand Schmitt Let’s not forget how today current algorithms are working by feeding them enormous quantity of data, actually as much data as we can find. Finding more data is becoming a limitation these days. What it means is that it’s very hard for AI to think beyond its training data. There is some level of logic that’s being added, but at the same time, take the launch of the iPhone. What was the opinion before launch? Is that no, it doesn’t make sense. Not enough battery life, no keyboard, no this, no that. If you just base your analysis on what’s written out there, what’s being sold out there, you would just say, “It’s going to fail.” AI might really follow that more generic advice and perspective because that’s what in the training data and that’s what they’re in volume. It’s, of course, raising a lot of questions of, how do you improve the quality of the training data? How do you separate the weed from the chaff? There are a lot of questions there, and obviously, it will get better over time. But it’s still a critical part of how it’s working today. It won’t be that easy to change. I really like your point regarding Mantis, and I will say in general, platforms that you build with AI or leveraging AI capacity. Because when we say knowledge production is going to disappear, but we’ll keep judgment, it will be a different type of judgment because the quantity and quality of knowledge we will have in front of us to build our judgment will be very different. If suddenly we have for free the work of 10 interns or 5 junior analysts or whatever, and you can run that on nearly anything you do in life or at work, it’s completely dramatic. Your judgment was not used to be exercised so often because often you were missing quality data to have a judgment. Before it was a lot of finger in the wind and trying to smell something, but you didn’t have enough to make a serious analysis. Except if you are working as a strategy consultant, as you used to do, Nuno. That part is actually quite interesting. That the judgment itself will be exercised much more often and hopefully on the base of much more in-depth analysis for a lot of things. We will work very differently.Nuno Gonçalves Pedro We will go in-depth, faster and more fact-based, more data-based along the way. The question some of you might have right now is, is there some judgment that’s going to go away? Is there some judgment? We seem to be defining that there’s this organization, we’ll talk about it later, that goes from doers more into deciders. I think there’s some nuances to that, so I’ll just hit pause on that. In terms of judgment, obviously, there’s judgment that has been hidden over the years under the pretense of being wisdom, but it’s actually not wisdom. It’s just repetitive tasking, and it’s rules-based for the most. There’s a lot of judgment done, in particular in the white-collar space, that you could say it’s just reps. People have been doing it all along like that, and so therefore to say, “I’ve done it before like this, so I’ll do it the same way.” There’s actually no best in class, no analysis, no nothing. It’s just, “I’ve done it like that before.” I think that type of judgment will disappear because, again, algorithms will be as good, if not much better at that. They’ll be better at figuring out, actually, this would be the better way to do this. That’s how you play it forward. Then the question is, if there are fundamental, wise people in the organization, people that can really take that more complex elements of judgment, how do you go from the world we have today, which is a world of apprenticeship, where people come out of college, they go and work, and they learn their way, and therefore, hopefully over time, some of them, not all of them, we know that, but some of them will develop that wisdom to be great decision makers 15, 20 years down the road? How do we do that in a world that now is saying, “I don’t need people out of college because I can do it myself, and I can do individual contributor, and I can have agents doing the work that would require some manifestation of management in the middle.” Basically, “I don’t need this stuff. I don’t need you.” It’s a little bit the story we’re in. How do you create then this apprenticeship? How do we create then wisdom? My two cents on that is that wisdom, because of what we were just discussing and what, for example, myself and Bertrand was just saying, because of more often interactions with more data-stressed information and insights, what will happen is people will get better through their own reps in whatever form they’re doing, in day-to-day life, in internships, et cetera. In some ways, that will create the accelerated growth. It’s a little bit the interactions with agents and the interactions with our beloved AI algorithms that will create that growth over time and maybe not as much with other people. That still leaves the question around social interactions, but that’s probably the way this gets sorted. Apprenticeship gets sorted through the machine and the human having more interactions in effect.Bertrand Schmitt I agree with you because when we talk about apprenticeship, in some ways a lot of time was wasted on stuff that were not that important. But in a way, that was the price you had to pay in order to be there when people make the big decision to try to get some wisdom from that one hour of interactions that’s really useful and make a difference out of your full week. But the rest of your full week was just basic stuff that you had to do like a machine in a way. Why not let a machine do that? That, for me, is a big question. You could argue there is a transition period where it could be hard. For instance, if you can work hand in hand with AI smartly while you are doing your 4, 5 years of universities, you could graduate with a very different knowledge, perspective, judgment, skill set than anyone who graduated 5 years ago. I think that part will require a question around, “How do you change education?” You see what I mean? If you keep education the same way, expecting that the output is someone that should go now into 5 years of apprenticeship, that’s not going to work because companies will be, “No apprenticeship anymore.” On the contrary, you have to come much more knowledgeable and ready to use the tools. The tools are so efficient that the bar pretty high. You need to come already very well-grounded. If the education is not doing their job, that will be trouble. That part for me, I think is often forgotten. In some ways, the new-found importance of universities as a place to, and not just universities, the trade to really deliver people who are ready for the workforce. If on the business side, the expectation can change, of course, you have to change the education on the other side. My worry probably right now is that it doesn’t look like universities are in touch with what businesses are looking for, businesses are working on. Of course, that’s very worrisome because the cost of university has increased very significantly. It’s not clear quality of education has improved at all. If anything, it could be the opposite. It’s pretty scary. Of course, it’s going to raise a lot of questions. How much is education worth in that type of situation? Maybe another point because we talk a lot about apprenticeship, how this stuff was useful, but at the same time, if we go back in time, not long ago in the ’50s, if you wanted to be a developer, for instance, ’50s, ’60s, the job was very different. There was barely any programmation language out there. You had to use punch cards. Your time truly spent doing the coding was very limited. Once you had your stuff working, then, the debugging was a total nightmare. My point is that no one is looking back to that time saying, “You know what? It was great. It was a great way to learn and to do an apprenticeship for 5 years. To do that crappy job of punching cards for the boss.” There was little value in this. Guess what? Everyone is happy it’s not being done anymore by anyone. I think we also have to see what AI is bringing in a similar way is that everyone’s job is going to become quite different. There are a lot of big parts of the job who are not going to look back with fondness. Just looking back as, “Wow, that was very machine-like type of job. I’m glad I’m done with it.” People will want to jump directly to the next step. You don’t need to go to the punch card phase to be able to be a good developer for the past 40 years. I guess it will be the same with AI.Nuno Gonçalves Pedro I think so. The difficulty we have as humans is to also visualize dramatically different scenarios and landscapes, professionally. It’s difficult for us to anticipate what are the jobs of the future. Jobs have changed a lot in the last few decades, not even the last century. What people do, the migration initially from the agricultural society to then the industrial society to then the services society, and in some ways, the shift within the services industry, and now we’re seeing another shift, so we can’t really anticipate what those jobs look like. Back to your point on education, because I think that’s a very important point. If you’re right now an undergraduate student or a postgraduate student, for that matter, and you’re not figuring out your own mechanisms of learning outside of your syllabus, outside of what your professors are telling you, et cetera, you’re going to face very difficult times. If you’re not right now using all these AI tools proficiently, all these cycles of vibe coding, co-working, et cetera, with agents in the mix, you’re going to have a really tough time. If you’re not at this point in time as proficient as someone like myself or Bertrand, and given that we’re nerds, we’re relatively proficient with a lot of these tools that are out there. On top of it, some of us have our own platforms in-house. If you’re not as proficient as we are with those tools, you’re going to have a very difficult time because then people like us won’t need you. I think that’s the sad truth. It’s like at some point, if you’re not needed, you’re not needed. Then again, you may find something else that’s more interesting for you to do. Start your own company, go join a new exciting job doing whatever it is that you need to do next, et cetera. But again, I think the bar is very high. If you’re in college right now, again, undergrad, postgraduate, this is the time of transition. This is the worst time. It’s not the best time, it’s the worst time. Because education and all these institutions haven’t adapted to it yet. You need to adapt. You need to adapt. You need to adapt. If you don’t, you’re going to pay for it, not just in the loans you need to repay, but also in terms of actually having difficulty finding your career path in those first few critical years.Bertrand Schmitt You need to be especially proactive when you’re facing this type of period where businesses are adapting as fast as they can because they all know it’s going to be survival of the fittest very quickly. Universities typically are working on a very different pace, and it’s pretty guaranteed they are not going to have adapted as fast as businesses. In time of big dramatic change, it will be trouble. It will be trouble. Yes, you will have not fun. Not saying it was part of the deal when you sign up for that loan and decided to go for university. But that’s life. There has been issues before. It’s not the first time. You have to do something about it. You talk about your perspective about, “Hey, why do we need you if you are not already fluent and very efficient with these tools and stuff?” The truth, in some ways, it’s even worse than that. Each time we spend with someone who is not efficient with all of this is less time we spend with the tools that are already providing magic for us.Nuno Gonçalves Pedro Exactly.Bertrand Schmitt It’s a very big choice of, “Hey, do I spend more time training this person?” Do I just… there is an opportunity cost. Or, do I spend more time staying at light speed? Why do I slow down to do something else in the hope that maybe I will get to return versus the light speed I’m already on? It’s a lot of tension. Again, it’s certainly new. But if we want to look back, I think you talk about the switch from agriculture and society, industrial society, and now the service industry. The reality is that, yes, we have made dramatic changes in the past before. 140 years ago, we were 90% agricultural society in Europe, in the US, 90% of us. Today, it’s what? 2%. So my point is that that’s a normal evolution. There is no progress without change. Sometimes the rate of change is soft, and sometimes you have a step function. Now it’s a step function, and it’s also a pretty fast step function. Before, it could take decades to get new stuff being put in place, to have electricity come up, this or that. Now we see that the rate of investment in AI is insane, way beyond anything we have seen before. Two, in a way, a lot of the architecture behind the scene was already there to support an even faster transition. What’s new might be the pace of the transition, how unnatural it might look. But at the same time, if you put yourself in the shoes of someone who lived 150 years ago, I mean, this was also a dramatic change for them. From horses to cars to planes to rockets, pretty big change, maybe even bigger change.Nuno Gonçalves Pedro Maybe the silver lining, just to bookend this section, is one, there will be new roles. There are a lot of things we can’t anticipate. There will be new roles, there will be new jobs being created, and new things that we can’t really quite grasp yet. The second part is that the rules are changing, and they’re changing, I would say, in general, for the better. If you are a decision-maker or an organization, and you still have your job, you’re probably making more important decisions with more data, with more tooling around you, with less red tape, hopefully over time. I know that will not hold true for all the big corporations out there that are listening to us, but it is starting to happen. Things are making an impact on how decision-making is made. There’s less and less red tape along the way in certain organizations. There are more and more fact-based discussions happening as we move along. The silver lining is better jobs, more jobs, different jobs in the future, hopefully as well. Secondly, the second part of the silver line is that the jobs that exist today, hopefully, will be more interesting, certainly on the knowledge space and on this judgment space that we’re now introducing as part of this episode. The AI-Native Company: Org, Hiring, Culture Switching gears, maybe to how does that shift? How does the company of the future look like? How does an AI native company look like? I feel there are a lot of discussions on, “Oh, you only need one person to run everything.” Let’s not go to that level. We’ve had a couple of episodes where we focused on AI as your co-founder and a couple of other elements that you guys can go back to. Let’s focus on a more evolutionary view of what’s happening to organizations, and maybe start with the org structure. In general, we should see more flat organizations where mid-level managers have to justify their pay in some ways because middle management are routers. They are normally routing tasks. It’s sometimes aggregating it, synthesizing it, and pulling it back up. Guess what? AI and agents in general are very good at that. The synthesis piece, et cetera, is not as well needed. One could say there are several elements of middle management that are valuable, like the coaching of people, the creation of apprentices, and the accountability that comes with some of middle management. But lo and behold, most of middle management is seen as a little bit of a thin line that doesn’t need to necessarily exist. I feel we’re moving into a world of smaller teams, more senior teams, where there’s more judgment at the top, where you’ll have people that both do a mix of what we used to call management in its new form, but also a lot of individual contribution. If you’re not used to that, if you’re not used anymore to be an individual in the future, again, and if you’re a very senior in an organization, maybe this is the right time to either reinvent yourself, find some other job that doesn’t require as much of that, which we’ll have plenty of those jobs for the next few decades, or maybe retire. I’ve actually, shockingly enough, seen people who have said, “You know what? This thing is changing too fast, too dramatically. My industry is changing quite aggressively right now. I’m about to retire in a couple of years. I’m just going to retire now.” I’ve literally met two people who have done that. Again, there’s nothing wrong about it. I think we’re, again, going through a step function and a huge shift, but figuring out where you fit in this new model of organizations, more senior at the top, smaller teams, more of a mix of individual contribution with management than ever was done before.Bertrand Schmitt I agree with you. In some ways, I’m not surprised that some people might say, “You know what? It’s now time to retire.” I feel a bit sad, maybe because it means you don’t like to keep reinventing yourself and changing your habits and thinking about new stuff. You were a creature of habits, I would say, if that’s your conclusion. But everyone is entitled to their own opinion, obviously, and a way of life. I guess that’s what happened, again, at regular times in the past in terms of big change. What I can see is that the rise of, you can call it the full-stack individual, someone who will have multiple roles inside the team. Before, you had to really separate the role. Especially in the US, there is such a clear separation between every role you can have in a company. Let’s take a tech company. You will have people doing design, people doing different types of designs, people doing front-end development, back-end development, and operations. You see step-by-step hyper-specialization. I have seen that, and it’s true that the level of complexity you had to deal with at some point requires some level of hyper-specialization because it will take you 6, 12 months in order to be really, really strong on a specific topic, a specific language. God forbid, trying to go deep into something that you had no real experience into. But I feel with AI, it’s a big change, actually. It’s the opportunity to go beyond that. It’s the opportunity to do more, to touch more. You can combine designing and shipping code, product managing and shipping code, being an analyst and deploying. Of course, we have to think how it works because putting a marketer shipping code to production, maybe that will get you into trouble. But I think that there must be some change. We see it changing dramatically, how fast we can get into something, something different from what we are used to. I think it would be crazy not to take that opportunity to dramatically change the scope of many positions and put an end to that hyper-specialization. I think for me, in some ways, hyper-specialization was bad. There is only so much you want to be a specialist in because a lot of things, a lot of opportunities are actually coming from the mixing of many different ideas, many different perspectives, and you lose if you go to hyper-specialization.Nuno Gonçalves Pedro I don’t think the age that is coming is the age of the generalist. I think it’s going to be the age of the multispecialist. We’re going to go into an age of multispecialization, which is a little bit, we’ve mentioned it as well in the past, what Amazon defines as an athlete or T-shaped or pie-shaped people, people that have on top an amazing ability to do general management, strategy, managing teams, et cetera, then have spikes. Spikes into business development, corporate development, product management, whatever it is. With AI and with agents, the development of those spikes, as we’ve been discussing in this episode, will actually be easier. It’s almost like a given. If you want to go deeper and deeper into a certain area, you can go much faster. I think that level of multispecialization is going to be really cool to observe. I’m not sure we’ve had an age of multispecialization over the years. Maybe people would point out, well, the Da Vinci example, people that are great across very different areas. Maybe that’s an example of multispecialization. But honestly, from my perspective, this is going to be an exciting time because of that, because you’ll have people who, instead of being just focused on this area of sales, and I only do that, they can actually and should actually do a lot of other things. So the work, as we were talking before, can be more interesting. More demanding as well, because the judgments you need to make are more complex. The context you need to actually gain needs to be gained much faster. At a level of magnitude, you haven’t been able to do it before. Talk about information overload. But actually, ultimately, the roles can be a lot more interesting, a lot more exciting, because I can jump around. If I’m an investor, in this case, we have two investors on this conversation. But if I’m an investor, one of the things that we start looking at is actually not just looking at a startup as, is this startup doing something in AI or not? Is it AI-enabled or not? Is it an AI platform or not? But actually, more fundamentally, is this an AI native startup? Meaning, organizationally, culturally, is this the company that’s already in the AI age? How is the team working? How are they defining things? It’s not just that they only have two or three people. It’s like, what are those two or three people doing? How are they doing it? What cadence are they doing it on? What tools are they using? How are they making decisions? I feel we’re still actually relatively early on that track. It’s very interesting because we’ve had all these companies raising mega rounds. First round out, we invested in one of them, but there have been many frontier labs out there raising a ton of money. But a lot of them don’t have a fundamentally different way of doing business. Of organizing themselves, of how they do the day-to-day. Although they’re working on cutting-edge stuff, with very notable exceptions, they’re actually not using it themselves. They’re not actually shifting how they do stuff themselves.Bertrand Schmitt For me, that’s very interesting because in the past, I used to be quite conservative on how you manage and run a company in the sense that if you’re already in tech, if you are already on the cutting edge of what technology can deliver, and this and that, don’t waste time trying to invent a new org structure. Just focus on delivering something great, amazing, and be great at technologies. That’s already your huge differentiator. At the time, there was no real reason to innovate on the team organization. I have seen so many teams that tried to innovate, and it was just catastrophic because there was not much to innovate on, because we had decades of optimization that we could leverage. There was no reason to invent. But here it’s very different. There is a dramatic shift in how you can organize differently a company. I don’t think there are any blueprints yet on what’s the best way to do it because it’s too new. But at the same time, I would feel very bad to invest or support a company that first is not focused on AI or AI-enabled, but at the same time is not trying to innovate on the team itself. Because if you don’t do that, you’re going to get killed by someone who is going to innovate better than you on not just the product, but on the org as well.Nuno Gonçalves Pedro Indeed. The shifts are pretty substantial. If you look, for example, just at hiring, what do you hire for? Certainly, there’s this element of the multispecialized orchestrator, which normally will be someone with quite a lot of wisdom and expertise. It doesn’t necessarily mean someone who’s old, but someone who has the ability to work with all the AI tooling and platforms out there and be an orchestrator of agents. Why do they make judgments, make decisions, move stuff forward really, really, really quickly? Again, those jobs are going to be the best jobs. The second part, I think that is very interesting, around hiring, is you’re going to skew towards the elements that are potentially either very aligned with the use of AI tooling and platform, AI expertise, or being AI native, or someone who’s used to using AI. That’s one side of the fence. On the other side, you’re going to actually be optimizing to hire people that have the characteristics that will be difficult for AI to replace immediately, like taste and the notion of fundamental accountability and notion of implications, the notion of how you affect change in organizations, how you affect change in individuals, the elements of coaching, and beyond coaching. You’ll be optimizing for those kinds of hires as well. Then, last but not least, for me, I feel that there is a momentum already happening. I think it will happen even more, which is the tendency to under-hire rather than over-hire. The moment of the good old days of blitz scaling, “Oh, let me go and hire 300 people to scale my go-to-market and just land grab market.” Now, that’s not how it’s going to work. People are going to try and first get the efficiencies in-house with top talent and see if there’s, at the end, the need to hire more people or not, rather than the other way around. I think the issue here is a little bit of what we alluded to before in this episode. There is a tax on individuals. If you hire more people, you’ll have to manage people, you’ll have to work with them, et cetera. If I don’t need to, I might as well work with the agents that the tools and platforms that I use give me access to. Because that’s a world that’s much more efficient, right?Bertrand Schmitt I’m in total agreement with you on this. It’s definitely raising way more questions than before because, again, on one side, you have the product, the technology used to build products that are completely different. At the same time, all of this is also enabling new ways to design organizations and to scale differently, especially in a world where, as we have seen in 3, 6, and 12 months, stuff that you thought were impossible are suddenly becoming possible. So you’re, “Hey, I’m going to scale and burn a shitload of money for 6 months before I know if there is any return.” Versus, “You know what? Maybe I just wait 6 months. The AI has improved enough so that we don’t need this new team. We don’t need these people to do stuff.” Because actually, if you just wait 6 months, we will have stuff coming for free from either new AI models or new AI tools or this or that. If you remember, we used to say that in mobile, things were going three times as fast as on the web in terms of pace of innovation and speed of development and stuff. I mean, with AI, it’s 5X mobile.Nuno Gonçalves Pedro Maybe even more. Yes, well.Bertrand Schmitt Maybe even more, maybe 10X. Every assumption around blitz scaling or scaling in general was based on past assumptions. It’s not based on how is the industry evolving today. Might make more sense for you to really grow your agents and spend more money on more tokens. I remember, of course, Jensen is selling his business interest, but he was saying, “Hey, for each one of my 450K engineers, he better spend 250K in tokens a year.” I’m not saying it’s the right way to say it, but I think there is some truth in it, and that would be something to think about. Have we maxed out the token usage per employee? I’m not talking in a stupid way because token maxing and wasting money has no value and is as stupid as it gets. But if you are truly getting a return on these tokens, can you use more? Can you generate more? Can you create more loops so that one engineer manages not just 10 agents, but 50 agents, but 200 agents? I think that’s the big question. We’re trying to add more people. More people means more management, more issues, more this, more that. That would be a fair question. Another piece of the puzzle is how do you build in a way your… I don’t know if it’s a digital twin, but more like the digital version of your companies represented by agents. How do you make sure that everything you do as a business is truly captured, is truly leveraged so that your agents are getting better and better? Not just because the model gets better, but because you are putting more data into it, because it has more opportunity to learn, and as a result, gets better at your specific business.Nuno Gonçalves Pedro The next big thing is culture. How does culture change? I think the biggest shift that I see is, why would you do meetings all the time?Bertrand Schmitt Yes.Nuno Gonçalves Pedro At least at Chamaeleon, we have a very small team, just by the way. We have a very small team at Chamaeleon. We’ve reduced by way more than 50% the time we spend on meetings between each other across the board, one-on-ones, partner meetings, et cetera. I think we’re really pushing to be more and more asynchronous. There’s stuff you can process via message. I was just asking one of my colleagues, “Can you just send me that prompt for that so I can just do that on CoWork?” Or “Can I just go on Mantis and do this? Can you tell me the cycle?” Or vice versa. Basically, it’s a little bit like you’re just going to do it. I don’t need to meet. I don’t need to meet all the time. There are some things where we still need to meet and interact, and we need to brainstorm at times, and we need to go to a different level of abstraction on the top end. Then on the lower end, there might be things that are a little bit more specific and governance-related and operational-related that we need to agree on that are more sticky. But otherwise, the culture is going to be biased towards build. “Go and do it,” rather than, “Let’s do a meeting.”Bertrand Schmitt Yes.Nuno Gonçalves Pedro Async is the thing. I’m more and more like we have a couple of interns this summer. “Can we async this?” They’re like, “What does that mean?” “Can we make this interaction asynchronous?” Because synchronous interactions for me are very expensive. Can you send me something that I can process, and then I can send it back to you? We don’t waste time on you giving me context and whatever. Then I’m not ready quite yet because I need to process it. Maybe I’m in between two meetings that I’m actually thinking about other things in my mind.” Again, I feel that shifts how stuff is done. One, build rather than meeting. Two, asynchronous versus synchronous. In some way, millennials had it right when they shifted a lot to messaging and stuff like that. Let’s do more asynchronous rather than synchronous, those two elements from just an operating model of the company are significant. Maybe this is a good time for me just to put one parenthesis because there’s this thing that’s bugging me as we’re talking here. Everyone who is listening to us at this point in time might be saying, “Cool, but I work for this large organization. We’re just now…” Everything we’re saying here is contextualized by time. We’re giving you extreme situations. We’re looking into the future. Some companies that we’re talking about might be doing this already as we speak. Some of them might be in the process of doing this and might in the next couple of months be doing it like we are describing it here. Some of them might take years to get there. Then again, some of the companies that might take years might actually be destroyed in between or meanwhile, and be disrupted. Some of them might not because they’re in very legacy businesses, and it’s fine, and it’s okay. Again, don’t take everything that Bertrand and I are saying today as this is gospel, and it’s going to happen tomorrow, and why the hell are we not doing it? We think that aspirationally, this is where you should be moving to as an organization, whatever size you’re at. Speed will matter, as we discussed before, but not everyone, obviously, is going to move as fast as we’re describing it here.Bertrand Schmitt Yes. Me, for instance, take inspiration often with what some of the AI labs, frontier AI labs, are doing, the way they are working, especially in OpenAI and Anthropic. They are clearly at the top of the spear in terms of what is it that you can do because they have access to models we don’t have access to, because they have unlimited tokens they can use for tasks. They hire people who are, of course, 100% on AI. They are the best example of what is achievable if you have the top minds, if you have the latest models, if you have unlimited tokens. From there, you can take that for our needs and for our situation, and others in industries that are not as advanced. Definitely, you have some time. But as you say, things are moving fast, things are changing. Wall Street is going to expect better returns because when we discuss all of this, the conclusion is that you should be able to do more with less. That’s as real as it gets at some point. By the way, that’s what you see. You see better performance, a better business performance right now. So even if you might not get disrupted, you’d better start there. For some, it might take more time, and they might still be fine.Nuno Gonçalves Pedro Maybe to bookend this section, clearly what we’re saying is organizations are going to change. Their MOs are going to change, the structures are going to change. There are elements of what we discussed before in terms of judgment that are fundamental to this. The ability that in some ways, one would say a lot of the technique of getting solutions out there, even in brainstorming or problem-solving, is going to get democratized. The algorithms are able to do that. On the other hand, having points of view and having wisdom is not necessarily democratized, necessarily by the machines. It can be facilitated, it can be more productive in achieving that level of wisdom, but wisdom still will matter at the end of the day. We’re not saying that’s out of the question. Actually, that’s going to be the asset. People who have fundamental wisdom that can come to the table and frame things. We see this even today in prompt engineering, on just creating prompts. The better your prompt is, the better the outcome is going to be, the result that you get from the algorithms. That’s not going to change, in my opinion, anytime soon. That UI interaction piece is not going to change anytime soon. Again, if you’re an organization thinking through organizational structure, culture, if you’re thinking through hiring, these are some of the elements that we think will give you an opportunity, but I would actually go one step further. On the positive side, I would say, they give you arbitrage. If you’re able to move faster than your competitors and really adapt your org faster, you’ll reap the benefits faster as well. That’s what many still say and relate to as the word innovation. That’s how innovation gets accelerated. I think there’s a huge opportunity right now for arbitrage. If you move fast, experiment, experiment on new org structures, experiment with talent, you’ll know that some of them will work well, some of them will fail miserably, so you can’t experiment on literally everything. On the other side, I think the doomsday scenario is if you don’t, if you’re on the other side and your competitor is outpacing you on trying these different organizational models, structure, hiring models, and operating models, they’ll potentially just disrupt you. They’ll do stuff that you thought you had the moat on, and lo and behold, you don’t anymore. Sometimes it comes just from org, just from injection of people with a different MRO, different operating model.Bertrand Schmitt The Human Element: Are We Underestimating It? Maybe we can move to our next section about the human elements. Are we underestimating it or are we overestimating it? The three things that are a big part of the human elements, emotion, creativity, and synthesis. Is it just soft skills, replaceable part? On the contrary, is it the durable part now that we have automated intelligence?Nuno Gonçalves Pedro I’ll start with emotion first because I think it’s probably the easiest of all the ones you’ve mentioned. Emotion is key. Many of you listening to us will know this. The way you deliver a certain message, the emotion that you have when you deliver it, just in and of itself, this could be a sentence, it’s something verbal, et cetera. Makes a difference between the person or the people on the other side actually adopting it or actually just resisting it. Emotion is critical. It’s what runs the world. Everyone talks about a bunch of things, but emotion is a currency that is still naturally human. It will be, I feel, difficult for these AI tools and platforms to recreate it fully until there’s some literally very high-definition manifestation of them as avatars or some physical manifestation of them as robots and all that stuff. It will take a while for that emotion to be manifested. Emotion, I think, is still something that we as humans have as a moat, and it’s critical. As you mentioned before, I was a strategy management consultant at McKinsey, and getting people to action is actually 80% about the delivery, communication, the emotion that you surround the project itself, more than sometimes the truth. It’s great to have the truth and to have something that is similar to the truth in terms of analysis, but in some ways, that’s not what really moves change. Change is moved by, I would argue, a significant amount of emotion and alignment on emotions.Bertrand Schmitt You could argue that’s something that most politicians have perfectly understood. If you look at most campaigns these days, everything on emotions, maybe the tagline might be one word. It’s interesting when you see from that perspective that actually it’s very little on facts, very little on all of this, but more about emotion. You could argue it’s the same for businesses in the future? That’s a fair question. I think creativity is another one that’s quite important. At the same time, it’s not so easy because I must say I’m quite amazed when I’m looking for creativity from AI, either to generate the image, to generate video, to generate audio, or to generate text. AI can be pretty creative. I still think you need to control its creativity; you need to understand what’s good, what’s bad, what’s quality, but at the same time, I can see even in creative tasks, AI can be a very strong partner. I’m talking about any creative task, like invent a name for a product, let’s brainstorm the mission for the company. AI can actually be doing a pretty impressive job. That’s the type of job where you will hire experts, where you will use some of the best people in your team to help you for days. We say, “You can do quite a lot.” It’s an interesting one because I think there is some unique human creativity, and at the same time, AI can be pretty strong at creative task as well.Nuno Gonçalves Pedro I agree. In particular, if it represents benchmarking, if it represents repetition, if it represents seeing the world and then coming up with something that presents itself as creative, to be honest, it can actually outpace humans. If it’s like genuine light bulb moments of creativity, angles that haven’t been tried before, certainly not in the same way, I think humans still have the advantage. To your point, I agree. This is not a humans-win situation. On the previous one, on emotion, still, part of it is because, also on emotion, there are exchanges. You and I might be looking at each other, and from the facial expressions and the reactions, where you judge that for AI to get there, it’s going to take a long time. There’s going to be a lot of very complex algorithmic stuff put into that for AI to be able to create synthetic emotional behaviors, but creativity, I agree with you. There are a lot more nuances to it today, where AI does have significant advantages at the end of the day. Synthesis depends. Synthesis, I feel, if we’re talking about holding a bunch of messy assumptions, contextualized inputs with different layers of data adjacent to them and then trying to create and form one coherent, fully accountable point of view that you stake something on, like a decision, a company, a business unit, whatever, I think humans have the advantage. Part of it is the complexity of what we have today with generative, pre-trained transformers, today with GPTs, where the hallucination comes through, where it’s really more statistical analysis. Over time, maybe synthesis will be a forte for AI. Right now, I think we still have that ability to really be the ultimate decision-makers and judge-makers and have that wisdom put at the table to make those decisions. Honestly, models are very good on balancing both sides, so ended up, as we say in Portuguese, neither fish nor meat. It’s to balance both sides’ answers. That’s not helpful in most cases. When you’re in a difficult position where, for example, the future of a company, company is almost dying, what do you do? I’m not sure your AI algorithms that are going to give you a great solution. Because it will give you a median or average solution, which likely will lead you to a median or average outcome, which in this case would be failure. Again, on synthesis, there are some areas of advantage for human beings. If you are looking for clearly synthesized perspectives on certain elements that are maybe less edge-focused, they’re more than the normal part of the normal distribution, then probably AI agents are brilliant at that. All the tools we have today are pretty good at that, and I think they’ll just get better over time. That’s how I see synthesis.Bertrand Schmitt I think a lot of improvements will come with a better fine-tuning of agents to what’s special about your company. Because if you just take a general agent, there is only so much. It can understand your industry, your company, and your way of working. I think that part of making sure your agents are finely trained, finely tuned on your own business, so that they can give you a really well-calibrated feedback, will have a lot of importance.Nuno Gonçalves Pedro I think that’s absolutely spot on. Maybe to end it, what is definitely different about humanity? Definitely, emotion, as we discussed, some pieces of synthesis. Creativity, maybe the light bulb creativity, not the more repeatable creativity, the one that you can put and encapsulate into processes in some ways. There are elements of us being physical, which robots can’t still recreate. That’s definitely an advantage. The embodied, we’re embodied. That’s obviously a huge advantage. With that also comes advantages because we have to interpret each other, and we have to see the complexities in physicality that land to it. Is human and the human element categorical difference? If we’re having a more philosophical discussion around this, I think it is. I think it will be for at least the foreseeable future and maybe decades to come, even in whatever scenarios we’ll discuss, which is our next section, scenarios.Bertrand Schmitt I would say projecting beyond 10 years is always pretty hard on this because, again, some of the improvements we are talking about we can imagine based on how it has evolved, but at the same time, there will be disruptions in AI. Stuff that we take for granted in terms of weakness, especially, might not be there in a few years from now. Either because it has been solved through brute force or because the field will have made significant change and improvements and discoveries, making some of our points moot. If we talk about embodiment, obviously, robots are coming. How fast, how cheap? That will be a big question. Right now, they’re not very smart. They’re usually very specialized. The more we move to a more general form factor, humanoid form factor, the more I think it will change. Also, another piece of the puzzle is that we have the assumption of agents having trouble to convince humans and stuff. At some point, we keep assuming that humans in the loop. If we’re talking about agents convincing another agent, not having embodiment might be even more efficient. That will be another perspective. Going forward, we will have not just agents we control who are doing a job and scanning the job, but agents truly interacting with other agents. You have agents controlled by one person, one team in your company, working either together or maybe not confrontationally, but trying to think and having different perspectives with another agent, controlled by other teams. I don’t think we have seen much of that now. We have seen mostly agents that are controlled by one team doing one job in one direction. Not multiple teams agents working together, or against or in parallel with another team agent. I think we will see some interesting things coming out of that.Nuno Gonçalves Pedro Scenarios Switching to scenarios, we love our two-by-twos. We haven’t done one in a while. This time it’s a two by two. We have four scenarios. I think on one axis, we would have potentially the capabilities of AI. One side would be more incremental. The other side would be the extreme full AGI. I’ll define it in a bit so that we can at least have a little bit of a definitional view on what the AGI is. Then the other axis would be how gains are distributed, concentrated versus broad. Obviously, if they’re very concentrated, it’s more unequal. It only goes to a few companies, a few people, a few individuals. If it’s broad, it’s much more dispersed through society, et cetera. AGI, just to try to define it, the formal definition of it is that it’s a hypothetical AI that matches or exceeds human capabilities across virtually all cognitive and practical tasks. In some ways, AGI can learn, reason, and adapt to novel situations across any domain. Then there are several mutations on this, but there’s one notion, or rather, there are three notions that normally are across a lot of these definitions. One is generalization, ability to seamlessly transfer knowledge from one domain to another without needing retraining, which is a very impressive skill that we humans still seemingly have. Autonomy in agency, the capacity to operate independently, set goals, plan and execute complex tasks. I think AI is their issue with agents to a lot of that extent. Then, last but not least, human parity, performing economically valuable work at or above the level of a typical human knowledge worker. If you listen to one of our last episodes, you’ll realize that Bertrand and I have slightly different views on AGI, and if it’s already here or not. I think, definitionally, maybe we have slightly different views on what the definition actually is. For me, maybe AGI is a little bit more what some would call superintelligence and generalized superintelligence. Strict to census, Bertrand is more connecting to AGI as in its prime definition. It behaves as well or better than a human thing. Maybe that’s what’s leading us to differences on whether AGI has arrived or not.Bertrand Schmitt Personally, I will have a different scale where I will put AGI, as you just said, in some ways, relatively similar in performance to your average human being. On top of it, it’s able to touch different domains that most humans are not able to do. Usually, there is some level of specializations where in AI, it can be more generic. I will put ASI, Artificial Superintelligence, as clearly the step beyond. Something that, on any dimension you pick, it’s able to beat a human expert. From my perspective, I think we already discussed that, but we are at AGI already. We have AI that can do way better, not just way better, but at least as well as humans on many topics, sometimes better. Yes, there are some topics that are not for AI yet. Embodiment, for instance, to flock with your humanoid robot in 2026. For me, we are partially there or fully there in AGI. If we take the stricter definition, ASI, we are definitely not there, but my guess is that it’s moving quite fast. We might be there in a few years from now. I don’t think we are talking about multi-decades. It’s 5 years, maybe 10. Of course, there are questions because people will say, for instance, “Hey, how do you become truly super-intelligent when all your training is based on human data?” That’s not an easy one because how do you train on that? To be way better, not just a bit better, but way better. Maybe I’m going on a tangent, but some are looking at AI learning from AI, AI being taught from AI, AI fighting with AI, AI challenging AI. The same way we saw this AlphaGo moment where AI was not trained anymore, like in chess with human moves, but has been trained to play against itself. That’s when it reached superintelligence in Go. It reached superintelligence by playing against itself and basically letting go of that human baggage, if you want, and going to the next level. What I found interesting in that, actually, first, that’s what happened, but two, there was some analysis that the average level of Go players and the top players went up after AlphaGo because AlphaGo, in a way, opened doors that humans didn’t believe were open in front of them, or they didn’t see them. They didn’t see these doors, so they didn’t bother to open them. AI opened new doors, but interestingly enough, humans improved after that, thanks to AI. You see what I mean? It was an interesting, okay, that self-learning from AI was the way to go beyond the current level of human knowledge and human expertise, but at the same time, humans were able to follow up. It was not like suddenly humans are totally useless crap. They improved. Did they still beat AI? Maybe not, but it was definitely also helpful.Nuno Gonçalves Pedro Back to our scenarios. We’re going to take the definitional extreme just for argument’s sake for scenarios. We’re going to talk about maybe what you were saying, ASI rather than full AGI, but like ASI. Again, artificial superintelligence as the extreme on the one hand. Let me talk about maybe the first scenario that would come to mind. Maybe we can call it the plateau scenario. All of this was great, but it was all smoke and mirrors. They were great at some cognition stuff. They’re a great tool. At some point, they’re going to hit a wall. Hallucinations are never going to be a thing of the past. We can’t fully trust them on really hardcore stuff. We’ll gain productivity enhancements. We’ll keep gaining those productivity enhancements, but at some point in time, we really won’t reach ASI. We really will be stuck with what we have. It’s a little bit like we get the next big thing, the next big spreadsheet, the next big internet, but it’s not going to change the whole world beyond just productivity, enhancements, and amazing tools that we have available to us that makes us much better. In that scenario, the winners will continue being fast adopters, probably small and medium businesses, because there won’t be a push for maximum speed either, so they’ll catch up at some point. Then AI native companies will be better companies than other companies, but not necessarily overall disruptors across the board. It’s not necessarily a new species of companies. It’s just companies that are a little bit better at doing stuff, which we also saw during the internet phenomenon and that first big push forward and then bubble, where we had some companies that were fundamentally different on how they operated. It took us another couple of decades for companies to be more and more digitally native along the way. Basically interesting, but it’s boring. It’s like, cool, we got tools, we got promised the world. What are the implications? All these companies that are worth trillions and trillions of dollars are not worth trillions and trillions of dollars. Because at some point we’ll face competition, commoditization. It will just be tools and platforms. They will not unlock that next stage. Therefore, this will have been a bubble, and likely it would be a hard landing to that bubble. That’s the implication.Bertrand Schmitt I would just say that, yes, I agree with you, but I would just say overall, even if it stopped today in terms of quality improvement, speed or stuff, or it barely improves, I still think we will have 10 years of madness just to leverage everything that we have today.Nuno Gonçalves Pedro Understood, Bertrand. This is a scenario. I understand, but maybe we’re going to hit a wall, and we’re going to hit that wall next year, or we’re going to hit that wall in 2 years or whatever.Bertrand Schmitt Possibly. I’m just saying we still have 10 years of goodness from that big push in AI we experienced the past few years.Nuno Gonçalves Pedro Absolutely. Agreed, but it’s boring.Bertrand Schmitt It’s boring. It’s a plateau.Nuno Gonçalves Pedro It’s a plateau. The second one is more of something that we have AI, but humans in the loop are going to be critical along the way. The judgment work that we described earlier in the episode is going to be critical to everything that happens. It’s, I would call it the augmentation scenario. The AI will be a great augmentation tool for humans, but humans will never really quite stop being in the loop. Some of the gains that AI has are broadly distributed in society and in the startup, big corporation and small medium business world. Everyone will have access to them. We humans, are still very important. We have all these augmentation things, and AI is mostly benign. There will be a couple of issues, but honestly, at the end of the day, we’re just better. We’re better, faster, more data-driven, more factually current. We’re doing stuff faster, but humans

Long before Google, Amazon, or Microsoft, computer technology shaped how people worked, how markets operated, and how businesses became big. After World War II, military officials and their partners in industry looked to the newly invented electronic computer as they sought to cut costs, speed up labor, manage supply chains, and—they hoped—bring stability to the postwar economy. Their efforts would shape early computer science and the first applications of computer technology in manufacturing and business, with profound consequences for workers and managers alike. By the 1960s, practices originally developed to improve industrial efficiency were being used by Wall Street, influencing how markets worked and even how traders thought. Digital technology became central to finance, tying together far-flung trading floors and automating decision making—with alarming consequences, including the 1987 Black Monday crash.  In Coding Capitalism: Computers and the Remaking of the Postwar US Economy (Columbia University Press, 2026), Dr. Devin Kennedy offers a new history of the digital economy, showing how the computer emerged from—and transformed—capitalism in the United States. He traces how computer science and technology were made by industry, which molded computation to manage factories, financial markets, and entire firms. Drawing on the archives of businesses, computer researchers, regulators, and financial institutions, Coding Capitalism retells the story of the postwar economy and the computer, revealing how mid-century business laid the foundations of the digital world. Bridging business and economic history with the history of science and technology, this book uncovers the prehistory of big tech and demonstrates how capitalism has shaped computing since its invention. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts.  Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Could rising oil prices, interest-rate uncertainty, and massive AI spending change the market outlook?Jeremy Siegel, Wharton Emeritus Professor of Finance, examines how energy supply disruptions could affect inflation and growth, what the Federal Reserve may do next on interest rates, why Wall Street is scrutinizing AI infrastructure spending, and how tariffs and demographic change could shape the broader economy. Hosted on Acast. See acast.com/privacy for more information.

The AI race is entering a new phase, and it's no longer just about who has the smartest chatbot. This week, the Iron Gate team breaks down the growing battle between open-source and closed AI models, why leaders like Jensen Huang, Elon Musk, and Sam Altman are taking sides, and what it could mean for the future of investing. They also discuss Google's latest earnings, why billions in AI spending rattled Wall Street despite strong results, and why long-term investors should look beyond the headlines. The conversation also explores why hyperscalers like Google, Microsoft, Amazon, and Meta remain at the center of the AI revolution, and why demand for computing power continues to surge. Finally, the team shares why they're optimistic about America's reindustrialization, the massive wave of infrastructure investment underway, and how market volatility can create some of the best long-term investment opportunities. Whether you're following AI, the stock market, or simply looking to become a better investor, this episode offers valuable perspective on one of the biggest stories shaping the future. Here's to wise investing.

Amazon and tech stocks give the markets a boost.

LISTEN and SUBSCRIBE on:Apple Podcasts: https://podcasts.apple.com/us/podcast/watchdog-on-wall-street-with-chris-markowski/id570687608 Spotify: https://open.spotify.com/show/2PtgPvJvqc2gkpGIkNMR5i WATCH and SUBSCRIBE on:https://www.youtube.com/@WatchdogOnWallstreet/featured  Chris examines the spectacular collapse of a high-profile AI hedge fund and explains why chasing extraordinary returns often ends in extraordinary losses. He argues that leverage, speculation, and "genius" investing are no substitute for disciplined risk management, urging investors to focus on proven long-term strategies instead of the latest Wall Street sensation.

Long before Google, Amazon, or Microsoft, computer technology shaped how people worked, how markets operated, and how businesses became big. After World War II, military officials and their partners in industry looked to the newly invented electronic computer as they sought to cut costs, speed up labor, manage supply chains, and—they hoped—bring stability to the postwar economy. Their efforts would shape early computer science and the first applications of computer technology in manufacturing and business, with profound consequences for workers and managers alike. By the 1960s, practices originally developed to improve industrial efficiency were being used by Wall Street, influencing how markets worked and even how traders thought. Digital technology became central to finance, tying together far-flung trading floors and automating decision making—with alarming consequences, including the 1987 Black Monday crash.  In Coding Capitalism: Computers and the Remaking of the Postwar US Economy (Columbia University Press, 2026), Dr. Devin Kennedy offers a new history of the digital economy, showing how the computer emerged from—and transformed—capitalism in the United States. He traces how computer science and technology were made by industry, which molded computation to manage factories, financial markets, and entire firms. Drawing on the archives of businesses, computer researchers, regulators, and financial institutions, Coding Capitalism retells the story of the postwar economy and the computer, revealing how mid-century business laid the foundations of the digital world. Bridging business and economic history with the history of science and technology, this book uncovers the prehistory of big tech and demonstrates how capitalism has shaped computing since its invention. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts.  Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/american-studies

Join the Conversation at 303-477-5600 or text to 307-200-8222. Monday-Friday, 3 pm-6 pm MT. https://RushToReason.com Hour 1 Stage 4 Cancer, Heart Disease, and the Health Choices That Could Change Everything. Kick off Health and Wellness Wednesday with John Rush as he dissects new revelations about Anthony Fauci and the unresolved mysteries of the COVID era. Then, plunge into two gripping, real-life stories of defying the odds—where hope, healing, and prevention take center stage. What if stage 4 cancer isn't the end—but a new beginning? Emma Victoria Johnson reveals how she turned a devastating diagnosis into a story of hope, discovering lifesaving breakthroughs at Oasis of Hope. Hear how bold lifestyle changes, nutrition, and immune health fueled her fight for recovery. Next, Wayne Elliott recounts surviving a heart attack at just 35. Discover the unconventional choices he credits with transforming his life—and what most people overlook about heart health. Obesity, statins, Alzheimer's, toxins, and the daily habits that could change your future—don't miss these life-altering insights. John wraps up with a bold question: Is our addiction to convenience silently sabotaging our health? This hour is packed with inspiring stories, frank conversations, and eye-opening ideas that might just make you rethink your everyday choices. Timestamps 11:46 — Emma Victoria Johnson — https://www.oasisofhope.com 30:38 — Wayne Elliott — https://straussnaturals.com HOUR 2 Freedom, Socialism, Fauci, and Colorado's Political Crossroads. Start with a wake-up call: Richard Battle lays out why America stands at a crossroads—can free enterprise and liberty survive in a world drifting toward socialism? Hear powerful arguments for economic freedom, plus a candid look at inflation, government overreach, and immigration. John tackles Colorado's political storm, revealing why divided conservatives could see their state slip away for good. Sunny Kutcher of Young Americans Against Socialism brings the heat, exposing the rapid rise of socialist ideas and the high stakes for government accountability. Dive into Fauci's testimony, pandemic fallout, free speech battles, and border clashes—plus, why the next Colorado election could change everything. If you care about America's future, you can't afford to miss this. Timestamps 1:09 — Richard Battle — https://RichardBattle.com 30:37 — Sunny Kutcher — https://yaas.org Hour 3 COVID Secrets, AI Showdown, and Colorado's Tech Future Hang in the Balance Uncover the untold story behind COVID lockdowns as Michael Pack reveals what went into the making of ‘Lockdown Dissidents.' Go behind the scenes with Fauci's diary, the fallout of school closures, and the fight for civil liberties. John Rush pulls back the curtain on the backlash he faced for challenging the status quo—proving why questioning authority is more important than ever. Then, shift gears as Scott Garliss breaks down the high-stakes world of Wall Street and artificial intelligence—revealing how today's tech battles could decide America's financial future. John fires back at short-sighted tech critics, champions AI innovation, and explains why your vote could shape the next era of American leadership. Timestamps 1:07 — Michael Pack — https://palladiumpictures.com/ 28:34 — Scott Garliss — https://www.bentpinecapital.com/

Join the Conversation at 303-477-5600 or text to 307-200-8222. Monday-Friday, 3 pm-6 pm MT. https://RushToReason.com Hour 1 Stage 4 Cancer, Heart Disease, and the Health Choices That Could Change Everything. Kick off Health and Wellness Wednesday with John Rush as he dissects new revelations about Anthony Fauci and the unresolved mysteries of the COVID era. Then, plunge into two gripping, real-life stories of defying the odds—where hope, healing, and prevention take center stage. What if stage 4 cancer isn't the end—but a new beginning? Emma Victoria Johnson reveals how she turned a devastating diagnosis into a story of hope, discovering lifesaving breakthroughs at Oasis of Hope. Hear how bold lifestyle changes, nutrition, and immune health fueled her fight for recovery. Next, Wayne Elliott recounts surviving a heart attack at just 35. Discover the unconventional choices he credits with transforming his life—and what most people overlook about heart health. Obesity, statins, Alzheimer's, toxins, and the daily habits that could change your future—don't miss these life-altering insights. John wraps up with a bold question: Is our addiction to convenience silently sabotaging our health? This hour is packed with inspiring stories, frank conversations, and eye-opening ideas that might just make you rethink your everyday choices. Timestamps 11:46 — Emma Victoria Johnson — https://www.oasisofhope.com 30:38 — Wayne Elliott — https://straussnaturals.com HOUR 2 Freedom, Socialism, Fauci, and Colorado's Political Crossroads. Start with a wake-up call: Richard Battle lays out why America stands at a crossroads—can free enterprise and liberty survive in a world drifting toward socialism? Hear powerful arguments for economic freedom, plus a candid look at inflation, government overreach, and immigration. John tackles Colorado's political storm, revealing why divided conservatives could see their state slip away for good. Sunny Kutcher of Young Americans Against Socialism brings the heat, exposing the rapid rise of socialist ideas and the high stakes for government accountability. Dive into Fauci's testimony, pandemic fallout, free speech battles, and border clashes—plus, why the next Colorado election could change everything. If you care about America's future, you can't afford to miss this. Timestamps 1:09 — Richard Battle — https://RichardBattle.com 30:37 — Sunny Kutcher — https://yaas.org Hour 3 COVID Secrets, AI Showdown, and Colorado's Tech Future Hang in the Balance Uncover the untold story behind COVID lockdowns as Michael Pack reveals what went into the making of ‘Lockdown Dissidents.' Go behind the scenes with Fauci's diary, the fallout of school closures, and the fight for civil liberties. John Rush pulls back the curtain on the backlash he faced for challenging the status quo—proving why questioning authority is more important than ever. Then, shift gears as Scott Garliss breaks down the high-stakes world of Wall Street and artificial intelligence—revealing how today's tech battles could decide America's financial future. John fires back at short-sighted tech critics, champions AI innovation, and explains why your vote could shape the next era of American leadership. Timestamps 1:07 — Michael Pack — https://palladiumpictures.com/ 28:34 — Scott Garliss — https://www.bentpinecapital.com/

Join the Conversation at 303-477-5600 or text to 307-200-8222. Monday-Friday, 3 pm-6 pm MT. https://RushToReason.com Hour 1 Stage 4 Cancer, Heart Disease, and the Health Choices That Could Change Everything. Kick off Health and Wellness Wednesday with John Rush as he dissects new revelations about Anthony Fauci and the unresolved mysteries of the COVID era. Then, plunge into two gripping, real-life stories of defying the odds—where hope, healing, and prevention take center stage. What if stage 4 cancer isn't the end—but a new beginning? Emma Victoria Johnson reveals how she turned a devastating diagnosis into a story of hope, discovering lifesaving breakthroughs at Oasis of Hope. Hear how bold lifestyle changes, nutrition, and immune health fueled her fight for recovery. Next, Wayne Elliott recounts surviving a heart attack at just 35. Discover the unconventional choices he credits with transforming his life—and what most people overlook about heart health. Obesity, statins, Alzheimer's, toxins, and the daily habits that could change your future—don't miss these life-altering insights. John wraps up with a bold question: Is our addiction to convenience silently sabotaging our health? This hour is packed with inspiring stories, frank conversations, and eye-opening ideas that might just make you rethink your everyday choices. Timestamps 11:46 — Emma Victoria Johnson — https://www.oasisofhope.com 30:38 — Wayne Elliott — https://straussnaturals.com HOUR 2 Freedom, Socialism, Fauci, and Colorado's Political Crossroads. Start with a wake-up call: Richard Battle lays out why America stands at a crossroads—can free enterprise and liberty survive in a world drifting toward socialism? Hear powerful arguments for economic freedom, plus a candid look at inflation, government overreach, and immigration. John tackles Colorado's political storm, revealing why divided conservatives could see their state slip away for good. Sunny Kutcher of Young Americans Against Socialism brings the heat, exposing the rapid rise of socialist ideas and the high stakes for government accountability. Dive into Fauci's testimony, pandemic fallout, free speech battles, and border clashes—plus, why the next Colorado election could change everything. If you care about America's future, you can't afford to miss this. Timestamps 1:09 — Richard Battle — https://RichardBattle.com 30:37 — Sunny Kutcher — https://yaas.org Hour 3 COVID Secrets, AI Showdown, and Colorado's Tech Future Hang in the Balance Uncover the untold story behind COVID lockdowns as Michael Pack reveals what went into the making of ‘Lockdown Dissidents.' Go behind the scenes with Fauci's diary, the fallout of school closures, and the fight for civil liberties. John Rush pulls back the curtain on the backlash he faced for challenging the status quo—proving why questioning authority is more important than ever. Then, shift gears as Scott Garliss breaks down the high-stakes world of Wall Street and artificial intelligence—revealing how today's tech battles could decide America's financial future. John fires back at short-sighted tech critics, champions AI innovation, and explains why your vote could shape the next era of American leadership. Timestamps 1:07 — Michael Pack — https://palladiumpictures.com/ 28:34 — Scott Garliss — https://www.bentpinecapital.com/

Ative seu cupom Flavio Conde pra a consultoria personalizada https://lvnt.app/61t6dr31/07 - Bolsa +0,47%%. SANB11 +13% e BRAV -3% Olá, sejam bem-vindo a mais um Fechamento de Mercado da Levante, com Flávio Conde, hoje é 6a. feira, graças a Deus, dia 31 de julho, e temos duas recomendações de streaming para o fim de semana com a mesma, atriz principal, Claire Danes: 1ª. O Monstro em Mim, de 2025, onde escritora famosa se envolve em um estranho jogo mental com seu novo vizinho, um homem rico e poderoso que pode ser um assassino. São 8 capítulos e passa rapidinho. A 2ª. é a famosa Homeland, de 2019, com 8 temporadas e 12 capítulos cada. Onde a Um soldado americano desaparecido é recebido como herói quando regressa após passar oito anos em cativeiro no Iraque. Mas, uma analista da CIA suspeita da história e acredita que ele possa ser um enviado pelos terroristas para atacar os EUA. OS Eu assisto pulando as partes de enrolação, mas a série é muito boa O Ibovespa (IBOV) engatou o segundo dia de ganhos consecutivos, em pregão reduzido por atraso na abertura. As negociações na bolsa brasileira começaram com quase três horas de atraso, reduzindo o fluxo no último pregão do mês – que, em operações normais, tende a ser maior por ajustes em posições.Nesta sexta-feira (31), o principal índice da bolsa brasileira terminou as negociações com alta de 0,47%, aos 177.999,00 pontos. Com o avanço, o IBOV acumulou valorização de 2,27% na semana. Em julho, o Ibovespa também teve saldo positivo em 3,47% com os estrangeiros voltando às compras em 72% dos dias de bolsa.Os índices de Wall Street encerraram o pregão em alta, após um dia de ativos voláteis. O tom positivo foi puxado pelo salto de 15,32% das ações da Amazon em reação ao balanço do segundo trimestre (2T26). Dow Jones: +0,53%, S&P 500: +0,70% e Nasdaq: +1,00%. Já o dólar à vista encerrou as negociações a R$ 5,0704, com alta de 0,18%. Na semana, a moeda norte-americana acumulou queda de 0,21% sobre o real. Em julho, a divisa teve desvalorização de 1,79%.Os juros subiram acompanhando os americanos. Os prefixados de 2037 fecharam a 14,80% x 14,77%, ontem. O IPCA+ 2037 fechou em 8,01% x 7,96%, ontem. Nos EUA, as taxas de juros das Treasuries de 10 anos subiram mais para 4,74% a.a. x 4,68%, ontem e o 30 anos subiu mais para o recorde recente de 5,28% a.a. x 5,21% ontem.Por aqui, o mercado consolidou a aposta de corte de 25 pontos-base na taxa Selic pelo Comitê de Política Monetária (Copom) do Banco Central. A curva a termo precifica praticamente 100% de probabilidade de redução na Selic próxima quarta-feira (5).No Brasil, o Banco Central divulgou que o setor público consolidado (governo central, estados, municípios e estatais, à exceção de Petrobras) teve déficit primário de R$ 55,313 bilhões em junho, após déficit de R$ 56,131 bilhões em maio. Em junho de 2025, o resultado foi deficitário em R$ 47,091 bilhões.Veja no vídeo as análises e recomendações do analista CNPI Flávio

NEWS TRADER - Próximo Curso Intensivo en Vivo | Agosto 2026 - Cómo Interpretar las Noticias que Mueven al Mercado Global. Más Info Aquí!

Apple heeft een erg goed kwartaal achter de rug. De omzet steeg flink, naar meer 109 miljard dollar. Dat is beter dan waarop was gerekend. Het waren vooral de iPhones die het ‘m deden. De helft van de omzet komt van de telefoons. En ook de winst (net geen 30 miljard) zag er perfect uit. Al met al mooie cijfers voor afzwaaiend topman Tim Cook. Alleen wordt zijn laatste optreden overschaduwd door een pijnlijke waarschuwing. Hij verwacht namelijk dat de chiptekorten de omzet én winst gaan raken. Deze aflevering hebben we het over die tegenvaller. Beleggers reageren heftig op het nieuws, wij zoeken uit of die reactie terecht is. Beter gaat het bij Amazon. Dat aandeel schiet omhoog. Beleggers reageren helemaal happy op de resultaten én de investeringsplannen van de techreus. Ook Amazon blijft als een malle geld in AI investeren. 220 miljard dollar dit jaar, weer 20 miljard dan eerder begroot. Alleen afgelopen kwartaal gaf het al 53 miljard uit aan nieuwe datacenters. Hebben we het ook over Universal Music Group. Dat opende ook de boeken, maar daar werd dan weer extreem somber op gereageerd. In korte tijd ging er meer dan 20 procent van de beurswaarde door het putje. Verder deze aflevering: Kan ASML de Chinese copycat's aan? ING wordt een soort van Netflix Tesla wil Chinese divisie afstoten, voor fusie SpaceX Te gast: Jos Versteeg van InsingerGilissen BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Je hoort hem ook in de BNR-podcast Moerdijk: dorp van de rekening. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie.See omnystudio.com/listener for privacy information.

July 2026 Sustainable Stock and ETF Picks. Includes articles on the top sustainable pharmaceutical companies, clean energy ETFs, and more! By Ron Robins, MBA Transcript & Links, Episode 169, July 31, 2026 Hello, Ron Robins here. Welcome to my podcast episode 169, published on July 31, 2026, titled "July 2026 Sustainable Stock and ETF Picks." Now, before I begin, I want to apologize if my voice at any time sounds a little rough! This podcast is presented by Investing for the Soul. Investingforthesoul.com is your go-to site for vital global, ethical, and sustainable investing mentoring, news, commentary, information, and resources. Remember that you can find a full transcript and links to content, including stock symbols and bonus material, on this episode's podcast page at investingforthesoul.com/podcasts. Also, a reminder. I do not evaluate any of the stocks or funds mentioned in these podcasts, and I don't receive any compensation from anyone covered in these podcasts. Furthermore, I will reveal any investments I have in the investments mentioned herein. I have a terrific crop of 27 articles for you in this podcast! Note: Sometimes companies are covered more than once. Now with so many articles to potentially cover, I've chosen 4 to quote from. Titles and links to the other 23 can be found on the webpage for this podcast edition. ------------------------------------------------------------- 1) Top 10: Sustainable Pharmaceutical Companies from sustainabilitymag.com I'm beginning this podcast with an article that reviews an industry that is controversial for some ethical and sustainable investors. Nonetheless, the sponsor of this industry analysis needs to be considered. The title of the article is: Top 10: Sustainable Pharmaceutical Companies from sustainabilitymag.com. It's by David Weston. Here is some of his analysis. "Here we present the pharmaceutical companies leading in corporate responsibility, innovation and dedication to a healthier, increasingly sustainable future. 10. Boston Scientific (BSX) Founded: 1979 HQ: Marlborough, US Net Zero Target: 2050 In the short term, it aims to achieve a 46.2% absolute reduction in Scope 1 and 2 emissions by 2030 – compared to a 2019 baseline. By 2050, it wants to achieve a 90% absolute reduction. 9. UnitedHealth Group (UNH) Founded: 1974 HQ: Eden Prairie, US Net Zero Target: 2050 UnitedHealth Group is working to source 100% of its energy from renewable sources and reduce Scope 1 and 2 emissions by 60% by 2030. 8. Danaher (DHR) Founded:1969 HQ: Washington, DC, US Net Zero Target: 2050 Danaher's 2025 Scope 1 and 2 emissions were 30% lower than the 2021 baseline, with 70% of the electricity consumed in its operations drawn from renewable sources. 7. Elevance (ELV) Founded: 1944 HQ: Indianapolis, US Net Zero Target: 2030 Elevance Health… uses 100% renewable electricity, and encourages suppliers to adopt science-based targets… Its initiatives include energy and water efficiency, responsible waste management and low-carbon commuting. 6. Medtronic (MDT) Founded: 1949 HQ: Minneapolis, US Net Zero Target: 2045 Medtronic aims to have 75% of its suppliers backed by science-based targets by 2030… Medtronic also wants to reduce absolute Scope 1 and 2 GHG emissions 52% by FY30 from a 2020 base year. Top 5... 5. McKesson (MCK) Founded: 1833 HQ: Irving, US Net Zero Target: Reduce direct GHG emissions by 50% by 2032. It aims to reduce direct GHG emissions by 50% by 2032 from a 2020 base year. 4. Bayer (BAYN) Founded: 1863 HQ: Leverkusen, Germany Net Zero Target: Before 2050 By the end of 2029, it targets a 42% reduction in Scope 1 and 2 emissions from a 2019 baseline. Strategies include… transitioning to 100% renewable electricity. 3. CVS Health (CVS) Founded: 1963 HQ: Woonsocket, US Net Zero Target: 2050 In 2021, CVS Health emerged as a global leader by securing SBTi validation for its net zero targets… The company is targeting 50% renewable electricity by 2040. 2. Haleon (H6G.SG) Founded: 2022 HQ: Weybridge, UK Net Zero Target: 2040 Haleon uses 100% renewable electricity across its production facilities. 1. Thermo Fisher Scientific (TN8.F) Founded: 2006 HQ: Waltham, US Net Zero Target: 2050 Thermo Fisher Scientific… interim targets including a 50% reduction in greenhouse gas emissions from 2018 levels and 80% renewable energy use by 2030." End quotes. ------------------------------------------------------------- 2) Riding the Green Wave: Clean Energy ETFs Benefiting from etftrends.com Now the case for green energy is clearer than ever, and this article offers reasons for it and what investments to look at. It's titled Riding the Green Wave: Clean Energy ETFs Benefiting from etftrends.com. It's by Ryan Schloesser, and here are some quotes from his article. "Following a multi-year slump in clean energy ETF performance, geopolitical tensions sparking global energy security concerns and energy demand from AI data center projects have driven clean energy investment in 2026… (Starting with) Gains in (3) Global Clean Energy (ETFs) 1. iShares Global Clean Energy ETF (ICLN) tracks the performance of the S&P Global Clean Energy Index… (The) iShares Global Clean Energy ETF has climbed over 20%, and has received inflows of $507 million so far in 2026. 2. Fidelity Clean Energy ETF (FRNW) tracks the Fidelity Clean Energy Index, targeting global companies that derive at least 50% of their revenues from renewable energy. The fund has seen a return of 17.3% and inflows of $60 million this year.  3. Invesco Global Clean Energy ETF (PBD) follows the performance of the WilderHill New Energy Global Innovation Index… (The) Invesco Global Clean Energy ETF has climbed 19% and recorded inflows of $6.5 million in 2026.  Capturing the North American Energy Shift (are the following 4 funds) 1. Invesco WilderHill Clean Energy ETF (PBW) tracks the WilderHill Clean Energy Index… The fund has climbed 20.6% this year with outflows of -$305.2 million as surging Treasury yields and potential interest rate hikes pressure smaller-cap holdings.  2. First Trust NASDAQ Clean Edge Green Energy Index Fund (QCLN) tracks the NASDAQ Clean Edge Green Energy Index targeting North American companies across the green value chain… The fund has grown 27.2% this year and received inflows of $110 million.  3. ALPS Clean Energy ETF (ACES) and 4. (the) ALPS Electrification Infrastructure ETF (ELFY) both provide North American exposure to the clean energy sector. (The) ALPS Clean Energy ETF tracks the CIBC Atlas Clean Energy Index… Focusing more on the electrification infrastructure component of the clean energy transition, (the) ALPS Electrification Infrastructure ETF tracks the Ladenburg Thalmann Electrification Infrastructure Index, providing exposure to the companies physically supplying electricity and grid infrastructure. This year, the funds have returned 5.4% and 22.7%, with inflows of $12.8 million and $58.6 million, respectively.  (And 2) Pure Play (Funds with) Exposure to Solar and Wind 1. Invesco Solar ETF (TAN) offers concentrated exposure to a portfolio of companies involved in the global solar value chain by tracking the MAC Global Solar Energy Index. 2. First Trust Global Wind Energy ETF (FAN) tracks the ISE Clean Edge Global Wind Energy Index. (The) Invesco Solar ETF has returned 14.7% with inflows of $536.1 million in 2026, while (the) First Trust Global Wind Energy ETF has risen 21.8% and recorded inflows of $62.8 million over the same period." End quotes. ------------------------------------------------------------- 3) 3 AI Infrastructure Stocks That Could Double by 2027 from finance.yahoo.com Many ethical and sustainable investors are heavily invested in the AI sphere. So as an homage to them, I have this recent article titled 3 AI Infrastructure Stocks That Could Double by 2027 from finance.yahoo.com. It's by Will Healy at fool.com. Here's a bit of what he says in his article. "1. Nvidia (NVDA) trades at a P/E ratio of 31, which is actually less than the S&P 500 average of 32. This has occurred as Nvidia's revenue grew by 85% yearly in the first quarter of fiscal 2027 (ended April 26). When also considering the 211% profit increase for the same period, the earnings multiple would arguably appear low even if Nvidia's stock price were to double. 2. CoreWeave (CRWV) As one of the leading neocloud companies, CoreWeave has drawn increased attention. Amid the potential for massive stock gains, huge losses and rapidly rising debt levels have soured some investors on this company… CoreWeave has Nvidia as an investor and a partner. That gives the company capital and access to Nvidia's latest technology, giving CoreWeave a competitive advantage. 3. Meta Platforms (META) Facebook parent Meta Platforms is in the process of transitioning into more of an AI-oriented enterprise. The company pledged to spend between $125 billion and $145 billion in capital expenditures (capex), most of which will probably go to building more AI infrastructure… Indeed, the 26% forecasted revenue increase for 2026 is a slowdown from Q1. Nonetheless, that would put downward pressure on an already low P/E ratio if the stock price stayed the same. Moreover, if Meta's AI inspired more confidence, its current valuation indicates the stock price could double without making Meta an expensive stock." End quotes. ------------------------------------------------------------- 4) Top Wind Energy Stocks to Add to Your Portfolio for Solid Long-Term Returns -- from Zacks.com Lastly, I have this article covering a sector that most of you are concerned with. It's titled Top Wind Energy Stocks to Add to Your Portfolio for Solid Long-Term Returns -- from Zacks.com. It's by Avisekh Bhattacharjee. Here are some quotes from his article. "(Note that this is) an updated edition of the May 28, 2026 article. 1. NextEra Energy (NEE - Free Report) is a public utility holding company engaged in the generation, transmission, distribution and sale of electric energy. The Zacks Rank #2 (Buy) company's competitive energy business, NextEra Energy Resources LLC ('NEER'), is a leading generator of wind energy globally. 2. Duke Energy (DUK - Free Report) is a premier utility service provider offering efficient power and energy services. The Zacks Rank #2 company is currently focused on expanding its scale of operations, implementing modern technologies at its facilities as well as enhancing its renewable generation portfolio by investing heavily in infrastructure and expansion projects. 3. American Electric Power (AEP - Free Report) is a public utility holding company, which, through directly and indirectly owned subsidiaries, generates and transmits electricity. Wind forms a part of the company's broader strategy to diversify its generation portfolio and lower carbon emissions… The Zacks Rank #2 company is expanding its regulated renewable asset base. 4. Vestas Wind Systems (VWDRY - Free Report) is a renowned designer, manufacturer, installer and service provider for wind turbines across the globe. To capitalize on rising demand for renewable power, the company emphasizes wind capacity expansion, technological advancement and sustainable energy development… In June 2026, the Zacks Rank #2 company secured five new orders to deliver wind turbines in Germany." End quotes. ------------------------------------------------------------- 23 more articles from around the world with Sustainable Investment Picks for July 2026. 1. Title: This Solar Power Stock Still Has a Bright Future from barrons.com. By Avi Salzman. 2. Title: Solar Beats Coal for the First Time: 3 Dividend Stocks to Buy Now from fool.com. By Reuben Gregg Brewer. 3. Title: 3 Consumer Staples Stocks Riding The Fairtrade Spending Trend from simplywall.st. Reviewed by Sasha Jovanovic. 4. Title: 1 Nvidia-Backed AI Infrastructure Stock to Buy Hand Over Fist Right Now from fool.com. By Dave Kovaleski. 5. Title: Top 10: Wind Power Companies from energydigital.com. By James Darley. 6. Title: This AI Infrastructure Company Has a $638 Billion Backlog and Is Trading Near an 18-Month Low from fool.com. By Matt Frankel, CFP®. 7. Title: 3 Green Investment Stocks Backed By Copper, Biofuels And Solar Demand from simplywall.st. Reviewed by Sasha Jovanovic. 8. Title: Forget Nvidia: This Infrastructure Upstart Is The Real Backdoor AI Winner from fool.com. By Leo Sun. 9. Title: 3 Stocks to Buy on the AI Infrastructure Sell-Off from fool.com. By Geoffrey Seiler. 10. Title: This ESG ETF Owns Google and Intel but Won't Touch Meta, and It's Up 22% in a Year from finance.yahoo.com. By Michael Williams at 24/7 Wall St. Continuing 12. Title: 3 Alternative Energy Stocks Investors Are Watching After The Oil Shock from simplywall.st/. By Sasha Jovanovic. 13. Title: ENVX Stock Soars at Yahoo: Is This the Next Big Environmental Investment?! From catalogo.cpal.edu.pe/. By CPAL. 14. Title: Buy 3 High-Flying Alternative Energy Stocks to Tap AI Data Center Boom from Zacks.com. By Nalak Das. 15. Title: 1 Growth Stock That's Pulled Back 39% and Looks Worth Buying Aggressively Right Now from theglobeandmail.com. By Sneha Nahata at fool.ca. 16. Title: 3 Green Energy Stocks to Buy in July from finance.yahoo.com. By Joel South. 17. Title: 2 AI Infrastructure Stocks That Could Outperform NVIDIA from zacks.com. By Tirthankar Chakraborty. 18. Title: ESG Investors: Why This Dividend ETF Is a Top Pick from ca.finance.yahoo.com. By Baystreet.ca. 19. Title: AI Infrastructure Will Mint More Millionaires Over the Next Decade: 3 Stocks to Buy Right Now from fool.com. By Leo Sun. 20. Title: AI Stocks Investment Strategy 2026: Top Picks & Market Analysis from intellectia.ai. By Jason Huang. 21. Title: 3 Climate Finance Stocks Linked To The World Bank Green Funding Push from simplywall.st. Reviewed by Sasha Jovanovic. 22. Title: BE vs. PLUG: Which Alternative Energy Stock Looks More Attractive? From zacks.com. By Tanuka De 23. Title: 4 High-Growth AI Infrastructure Stocks to Buy for Long-Term Gains from zacks.com. By Anirudha Bhagat. ------------------------------------------------------------- Ending Comment These are my top news stories with their stock and fund tips for this podcast, "July 2026 Sustainable Stock and ETF Picks." Please click the like and subscribe buttons wherever you download or listen to this podcast. That helps bring these podcasts to others like you. And do click the share buttons to share this podcast with your friends and family. Let's promote ethical and sustainable investing as a force for hope and prosperity in these tumultuous times! Contact me if you have any questions. Thank you for listening. Again, I want to apologize for my voice sounding, at times, a little rough! My next podcast will be on August 28th. See you then. Bye for now. © 2025 Ron Robins, Investing for the Soul

En Capital Intereconomía repasamos las claves de la jornada con la mirada puesta en la evolución de los mercados internacionales. Asia, Wall Street y Europa marcan el pulso de una sesión en la que los resultados empresariales, la política monetaria y el sector tecnológico vuelven a centrar la atención de los inversores. La sesión asiática viene marcada por la decisión del Banco de Japón de mantener los tipos de interés en el 1%, mientras que Wall Street recupera el terreno perdido gracias al impulso de las grandes tecnológicas y a un dato de inflación PCE que refuerza las expectativas del mercado. En Europa, las bolsas se preparan para abrir con ganancias, apoyadas en el buen comportamiento del sector tecnológico y en la caída del precio del petróleo. En el primer análisis de la mañana conversamos con Ignacio Vacchiano, country manager en Iberia de Leverage Shares, para valorar unos resultados empresariales que vuelven a situar a las grandes tecnológicas en el centro del mercado. Analizamos el beneficio récord de Apple, el fuerte crecimiento de Amazon impulsado por la inteligencia artificial, la corrección sufrida por Meta tras perder gran parte de su valor bursátil en pocos días y la elevada volatilidad que atraviesa el sector de los semiconductores. También repasamos la compra de MarketAxess por parte de la matriz de la Bolsa de Nueva York y el impacto que tiene el elevado coste de la financiación en Estados Unidos, situado en máximos de los últimos 19 años. Para finalizar, hacemos balance semanal de la actividad de la Comisión Europea junto a María Canal, portavoz de la Representación de la Comisión Europea en España. Analizamos las principales iniciativas comunitarias para hacer frente a la ola de incendios, así como las novedades regulatorias y estratégicas relacionadas con el desarrollo y la implantación de la inteligencia artificial en la Unión Europea.

Listen to Jim Cramer's personal guide through the confusing jungle of Wall Street investing, navigating through opportunities and pitfalls with one goal in mind - to help you make money. Mad Money Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The Subscription to Success isn't paid once… it's renewed Every Single Day. The market teaches you that one great trade doesn't make you wealthy. Consistency does. You don't get rewarded for what you did last month, you get rewarded for the discipline you bring today. Life works the same way. GOD isn't asking for occasional commitment, He's looking for daily obedience. Every morning you choose Discipline over Distraction, purpose over comfort, and faith over fear, you're renewing your subscription. Miss enough payments through excuses, procrastination, and complacency, and eventually your progress gets disconnected. Success isn't a one time purchase… it's a recurring investment in the person you're becoming.THE SUBSCRIPTION TO SUCCESS  | Wallstreet Trapper (Episode 203) IRAQ, TRUMP TARRIFS, PAYCHECKS LOWJoin our Exclusive Patreon!!! Creating Financial Empowerment for those who've never had it.

Unfamiliar Financial Territory can feel intimidating, but that's usually where growth begins. In the market, every new all time high is price discovering a place it's never been before. There's no history to lean on, only conviction, preparation, and discipline. Life works the same way. GOD will often lead you into places your family has never seen, income they've never earned, opportunities they've never imagined. Don't let unfamiliarity make you retreat. You weren't called to repeat old cycles, you were called to establish new ones. The very territory that feels uncomfortable today could become the new standard for generations after you.UNFAMILIAR FINANCIAL TERRITORY  | Wallstreet Trapper (Episode 202) MARKET CRASH, SPACEX, BEST BUYSJoin our Exclusive Patreon!!! Creating Financial Empowerment for those who've never had it.

Plus: Amazon reports higher revenue in the second quarter from its cloud-computing business. And a data-center developer working with Anthropic plans to borrow $15 billion for a new Texas campus, with backing from Google. Julie Chang hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Is the market falling apart—or is money simply rotating? In this episode of Payne Points of Wealth, Bob, Ryan, Chris, and Courtney explain why semiconductor stocks and the Magnificent Seven are struggling while energy, commodities, value stocks, REITs, international stocks, and emerging markets continue to perform. The team discusses why diversification is winning in 2026, whether Wall Street's AI earnings expectations have become too optimistic, and why the biggest long-term AI winners may be companies outside the technology sector. They also examine: • Whether the Federal Reserve could raise interest rates • How oil prices, tariffs, and reshoring could affect inflation • Why companies are rehiring workers after AI-related layoffs • How baby boomer wealth is supporting consumer spending and housing • Where investors may find growth beyond the Magnificent Seven The key takeaway: money is not necessarily leaving the market. It may be rotating into overlooked sectors and asset classes—and investors who stay diversified could be better positioned for what comes next.

Can a new housing bill really stop institutional investors from buying single-family homes? Kathy Fettke sits down with Tarl Yarber to break down the legislation, explain the loopholes, and discuss why Wall Street may still have a path to grow its real estate holdings.   They also cover the outlook for house flipping, build-to-rent communities, and where real estate investors are finding opportunities in today's market.   Get 15% off your Limitless Expo ticket with code: RealWealth. Visit www.LimitlessExpo.com to learn more.   DISCLAIMER The views and opinions expressed in this podcast are provided for informational purposes only, and should not be construed as an offer to buy or sell any securities or to make or consider any investment or course of action. For more information, go to www.RealWealthShow.com.

Available publicly for the first time, this episode was originally recorded and released as a subscriber-only bonus episode back in 2021. It is part four of our deep dive into the myriad lost episodes of the short-lived TV show Conspiracy Theory with Jesse Ventura. This time around, Jesse crashes a secretive meeting of powerful billionaires hoping they tell him what he wants to know about the 2008 financial crash in the United States and how they knew it was coming and did nothing to stop it (if you can believe that). Become a supporter of this podcast: https://www.spreaker.com/podcast/conspiracy-the-show--7047649/support.Follow the You Don't Even Like Podcasts Network on social media!Instagram: http://instagram.com/youdontpodBluesky: https://bsky.app/profile/youdontpod.bsky.socialThreads: https://www.threads.com/@youdontpodFacebook: http://facebook.com/youdontpodYouTube: https://www.youtube.com/@youdontpods

David Faber reports that one of AI's most closely watched voices, Leopold Aschenbrenner's hedge fund Situational Awareness, has sold its entire portfolio of public investments. We examine what the move could signal for AI investors. Plus, Jersey Mike's CEO joins along with Danny DeVito and Eli Manning to discuss the company's public market debut. And we break down Wall Street's reaction to earnings from Microsoft and Meta as investors assess the next phase of the AI trade.   Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jason Yanowitz, Co-Founder of Blockworks, joins Sebastien Couture on Epicenter to discuss why crypto is entering its biggest transformation yet. From institutional adoption and the Clarity Act to token transparency, AI, on-chain capital markets and the acquisition of Messari, this conversation explores where crypto is actually heading.Jason explains why Wall Street is preparing for crypto, why token fundamentals finally matter, how Blockworks acquired Messari, why capital markets are moving on-chain, and why the next crypto cycle could look completely different from previous bull markets.The conversation also covers Bitcoin, Ethereum, DeFi, stablecoins, RWAs (Real World Assets), tokenisation, venture capital, crypto regulation, SEC policy, the Clarity Act, Token Transparency Framework, AI, Robinhood, Coinbase, Hyperliquid, self-custody, crypto infrastructure, institutional finance and the future of blockchain adoption.In this episode:1. Why Wall Street is preparing for crypto2. The Blockworks × Messari acquisition3. The Clarity Act and US crypto regulation4. Token transparency and the future of crypto markets5. Stablecoins, RWAs and on-chain capital markets6. AI's role in the next generation of crypto businesses7. Why the next crypto cycle will reward real fundamentals8. Building one of crypto's leading media and data companiesIf you enjoyed the episode, don't forget to subscribe for more conversations with the builders, founders and investors shaping the future of crypto.Links:Lido: https://lido.fi/stvaults?mtm_campaign=epicenterSponsors: Lido V3 introduces stVaults: a modular staking infrastructure that lets builders and institutions deploy custom staking vaults, while staying anchored to stETH as a shared liquidity layer.Get started building with Lido V3 today: https://lido.fi/stvaults?mtm_campaign=epicenterBlock Space Forum: https://blockspace.forum/NEAR AI Cloud now lets developers deploy OpenClaw—the rapidly growing open-source AI agent platform—inside Trusted Execution Environments, providing hardware-level encryption with cryptographic attestations. With OpenClaw on NEAR AI Cloud, you can run agents with cloud convenience, but without traditional cloud data exposure. No hardware to manage. No trust assumptions required. Learn more at near.ai.

Discover why multifamily real estate is the best vehicle to build your own pension—and why relying on Wall Street leaves you with uncertainty instead of security. You'll learn:Why the traditional retirement system is failing the middle classHow Wall Street secures the best deals while ordinary investors get the leftoversThe four‑step formula for building your own pension with off‑market multifamily real estateFive ways to fund a multifamily‑supported pension planWhy none of this requires large savings, prior experience, or the “perfect” starting pointStudent Spotlight: You'll meet Bill, who built his own pension through a 24‑unit off‑market deal he purchased for $900,000 — a property that appraised at $1.38M before closing, giving him $480,000 in equity on day one. He'll walk through how he found it, funded it, and turned it into a long‑term retirement engine.A clear, practical session designed to replace uncertainty with confidence — and show you how to build a pension you control.

ATENÇÃO: ESTE EPISÓDIO ESTÁ COM O ÁUDIO ORIGINAL EM INGLÊS. SE QUISER CONFERIR UMA VERSÃO LEGENDADA EM PORTUGUÊS DA CONVERSA, ASSISTA AO EPISÓDIO EM: https://www.youtube.com/@StockPickersUMA INDÚSTRIA QUE CRESCEU RÁPIDO DEMAIS E A VISÃO DE QUEM ESTÁ DENTRO DE UMA DAS MAIORES GESTORAS DO MUNDO  Neste episódio especial do Stock Pickers, Lucas Collazo recebe diretamente dos EUA a presença de Logan Nicholson, diretor e gestor de fundos de Private Credit da Blue Owl, para uma conversa sobre o mercado de private credit: um dos temas mais quentes e controversos de Wall Street.   Com um episódio gravado na Expert XP 2026, Logan explica por que o crédito privado americano virou alvo de questionamentos de grandes bancos, como a Blue Owl enxerga o risco de defaults e má precificação, e por que a inteligência artificial - mais do que uma ameaça - pode ser o maior canal de distribuição e monetização para o software corporativo dos próximos anos. Logan ainda discute a competição entre gestores e explica por que a Blue Owl, um dos maiores players do mercado no mundo, está de olho no Brasil como mercado estratégico para diversificar sua base global de investidores.   Um episódio para quem quer entender o que está realmente acontecendo no mercado que mais cresceu - e mais gerou debate - nos últimos anos.  Quer ver mais conteúdos da Expert XP 2026? Confira a seleção do Stock Pickers dos melhores painéis e debates do maior festival de investimentos do mundo: https://www.youtube.com/playlist?list=PLKMyjSfLbYRM   

Listen to Jim Cramer's personal guide through the confusing jungle of Wall Street investing, navigating through opportunities and pitfalls with one goal in mind - to help you make money. Mad Money Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

P.M. Edition for July 29. Fed officials voted to keep current interest rates in place. WSJ economics reporter Matt Grossman joins to discuss the internal pressure that's building at the central bank to curb inflation. Plus, Dr. Anthony Fauci invoked the Fifth Amendment more than 100 times during a contentious Senate committee hearing about his handling of the Covid-19 pandemic. And WSJ's Benjamin Katz explains how a potential Boeing rival could be taking flight with a plane that looks radically different from the passenger jets we're used to. Danny Lewis hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Odds are good that part of your paycheck disappears into an account with the Fidelity name on it every two weeks. Almost nobody stops to ask who's actually on the other end of that relationship. The answer isn't a faceless Wall Street institution, it's one family that has quietly controlled a $15 trillion company for three generations, through boardroom near-mutinies, a succession fight that almost ended in the company being sold, and enough family drama to fill a book. It did, actually. Wall Street Journal reporter Justin Baer spent years uncovering it, and today he brings the whole story down to the basement.What You'll Walk Away WithWhy one of the biggest financial companies in America has never had a single outside shareholder, and what that's actually protected them fromThe surprisingly personal origin story behind Fidelity's founder, and the market-crash lesson that shaped the entire company's philosophyWhy Fidelity almost missed the money market fund revolution, and the workaround that changed how everyday people access their cashThe near-sale that almost happened in 2005, and how close the company came to becoming something completely differentWhy checking your 401k balance more often might actually be good for your financial decision-making, according to Fidelity's own researchHow a family succession battle nearly pushed the current CEO out of the business entirelyA useful mental gut-check for figuring out how much of your "checking account cushion" should actually count as part of your emergency fundWhy This Matters NowIf you're in your 40s, there's a good chance you've had a relationship with Fidelity, Vanguard, or a similar company for two decades without ever really knowing how they work or who's behind them. That's not a knock on you, it's just how most financial relationships start: automatically, through a job, without much choice involved. Understanding the incentives and history behind the company holding your retirement money doesn't change your investing strategy overnight, but it does replace a vague, faceless trust with something more informed, and informed trust is a lot more durable than blind trust.From the BasementA conversation about $189 average dates turns into a surprisingly sharp point about not overspending to impress someone before you even know if it's a match, in relationships or business. And a basement community note about "hidden" emergency funds sitting in checking accounts sparks a genuinely useful reframe worth stealing for your own budget.Resources MentionedHouse of Fidelity: The Rise of the Johnson Dynasty and the Company That Changed American Investing — Justin Baer's book on the Johnson family and Fidelity's historyField Kit Finance — the all-in-one net worth, budgeting, and credit tracking tool mentioned in the sponsor breakSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.