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Latest Interviews

Showing 916–930 of 6,344 interview transcripts.

  1. Goldman Sachs10 min

    Still Bullish on Gold

    Lina Thomas, Chris Hussey

    Competing demand from central banks and private investors is driving a self-reinforcing rally in gold prices, while Goldman Sachs forecasts a 2026 target of $5,400 based on declining Federal Reserve rates and fiscal debasement fears. The silver market is experiencing extreme volatility due to a severe liquidity squeeze in London vaults, which Goldman Sachs expects to persist despite the metal's potential as a speculative vehicle. Although geopolitical tensions are fueling broader commodity stockpiling, the firm distinguishes gold's constrained supply as superior to the scalable nature of non-precious metals like copper, which limits their capacity for a sustained super cycle.

  2. The Economist10 min

    How much tax should the rich pay? | The Economist

    Henry, Mike

    Contrary to narratives of neoliberal rollback, recent data reveals a "Robin Hood economy" in the developed world where increased government redistribution has stabilized post-tax inequality despite rising pre-tax disparities. While U.S. top earners now contribute a larger share of federal taxes as high-earning professionals rather than evaders, polling indicates a persistent public perception that their tax burden remains insufficient. This economic reality clashes with philosophical debates between Henry, who warns that fairness requires limiting taxation to preserve incentives, and Mike, who advocates targeting negative externalities and consumption rather than income or capital.

  3. 20VC with Harry Stebbings1h 25m

    Anthropic's Super Bowl Ad: Who Won & Lost? | Sierra Hits $150M ARR: Is Customer Support Too Crowded?

    Mike Cannon-Brookes, Jason Lemkin, Rory O'Driscoll, Harry Stebbings

    Projections suggest Anthropic and OpenAI could command nearly half the global software market by 2029, forcing a strategic shift toward Total Addressable Market expansion rather than zero-sum displacement of incumbents like Microsoft. While foundation models face valuation constraints in input-constrained sectors, service-oriented industries may experience a Jevons Paradox where AI efficiency drives increased demand for support and strategic implementation consulting. Concurrently, Atlassian reported 23% revenue growth and 44% increase in future obligations as AI-assisted coding accelerates engineering output and creates an island of stability for product development teams.

  4. Sequoia Capital1h 13m

    Bayer’s Bill Anderson: Turning a 168 Year-Old Tanker Like a Speedboat

    Bill Anderson

    Bayer CEO Bill Anderson has accelerated organizational agility at the global pharmaceutical giant by reducing management layers from twelve to six and replacing rigid annual budgets with dynamic 90-day planning cycles. This transformation restructured the company's 100,000-person workforce to operate with a "missionary zeal," shifting 10-15% of employees annually based on performance to ensure resources align with current strategic needs rather than historical silos. By decoupling compensation from formal titles and prioritizing peer feedback over hierarchical command, Anderson's approach has successfully mitigated bureaucratic inertia while navigating patent cliffs and shareholder pressure.

  5. The Diary Of A CEO2h 6m

    World No.1 Divorce Lawyer: If You Do This, Your Marriage Is Already Over.

    James Sexton, Steven

    Expert Jim Sexton argues that relationship failure typically stems from "slippage"—the gradual accumulation of small disconnections driven by a societal myth of effortless love—rather than single catastrophic events. He advocates for weekly rituals of explicit appreciation and vulnerability, alongside proactive legal frameworks like prenuptial agreements, to ensure partners remain prioritized and authentic. By integrating individual therapy with these structural tools, couples can overcome childhood wounds and avoid the "flood" of decay that leads to high-achiever divorces.

  6. Lex Fridman3h 16m

    OpenClaw: The Viral AI Agent that Broke the Internet - Peter Steinberger | Lex Fridman Podcast #491

    Peter Steinberger, Lex Fridman

    Former PSPDFKit founder Peter Steinberger launched the open-source autonomous agent OpenClaw, which evolved from a personal tool into the fastest-growing GitHub repository in history after a series of legal and security crises. The system provides system-level access to execute complex tasks via natural language, featuring self-modifying capabilities and a unique ethical framework known as "soul.md," though its architecture raises significant concerns regarding prompt injection and remote code execution. While Steinberger retains control to keep the project open-source despite lucrative enterprise offers, the initiative aims to redefine software development by shifting human roles from traditional coding to agent architecture and empathetic system management.

  7. a16z1h 5m

    Inside The Life of Silicon Valley's First Athlete Investor | Magic Johnson

    Magic Johnson, Chris Lyons, Earvin "Magic" Johnson, Michael Ovitz, Dr. Jerry Buss

    Magic Johnson outlines the strategic transformation of sports franchises into billion-dollar assets, highlighting how ownership shifts toward equity over endorsements and leveraging high consumer demand alongside mobile streaming trends. He details a diversified investment philosophy that prioritizes cash-flow-positive sectors like healthcare infrastructure and AI, while emphasizing the critical need for athletes to build capital reserves and secure mentorship to navigate complex deal executions. Ultimately, Johnson advocates for a collaborative approach where established figures share knowledge and networks to democratize business access, enabling the next generation of athlete-entrepreneurs to capitalize on emerging markets such as women's sports and the NIL economy.

  8. Sourcery with Molly O'Shea1h 6m

    Inside Jake Paul’s Empire: $200M Boxing Earnings to $65M+ Tech Investing

    Jake Paul, Geoffrey Woo, Molly O'Shea

    Founded by brothers Jeff Wu and Jake Paul, Antifund deploys a flexible $65 million investment strategy targeting early-stage seed rounds through IPOs to capitalize on the cultural dominance of Gen Z and Millennial demographics. With the recent addition of Logan Paul to partner roles, the firm leverages the siblings' vast networks and "unfair advantages" in media to build a portfolio focused on AI infrastructure, robotics, and defense technology. Their operational model prioritizes extreme time efficiency and high-output lifestyles to drive a long-term target of 5x returns while mentoring a new generation of entrepreneurs through upcoming summit events at their Texas ranch.

  9. Goldman Sachs25 min

    Fundamentals Still Matter: Lone Pine’s David Craver

    David Craver, Tony Pasquarello

    David Craver of Lone Pine Capital argues that structural shifts in market volatility and valuation norms have created a favorable environment for duration-based fundamental investors who focus on secular growth themes. Leveraging deep private market insights and a concentrated strategy, the firm maintains a bullish stance on AI infrastructure as a generational platform shift while anticipating a mid-term phase where established incumbents leverage technology to drive efficiency. Craver emphasizes that his investment discipline relies on rigorous fundamental analysis and the flexibility to adapt when facts evolve, positioning the firm to capitalize on the predicted disruption in top market cap names by 2035.

  10. 80,000 Hours26 min

    What the hell happened with AGI timelines in 2025?

    Rob Wiblin

    Industry sentiment and prediction markets have shifted from optimistic late-2024 AGI forecasts to a consensus timeline extending beyond November 2033 due to technical bottlenecks in generalization, diminishing returns on inference scaling, and the physical limits of compute infrastructure. While financial metrics reveal robust profitability and a five-fold revenue surge for major AI firms, the path to full automation is hindered by the inefficiency of reinforcement learning and the inability of current models to replicate incremental human learning. Consequently, the 2028–2032 period has emerged as a critical make-or-break window where exponential costs could reach up to $10 trillion, forcing a convergence of long-term skeptics and optimists on a roughly ten-year horizon for potential AGI.

  11. Sequoia Capital45 min

    Building the GitHub for RL Environments: Prime Intellect's Will Brown & Johannes Hagemann

    Will Brown, Johannes Hagemann, Sonya Huang

    Prime Intellect operates an end-to-end post-training infrastructure platform that enables startups and enterprises to build custom AI models through a unified "Lab" featuring compute orchestration and a Reinforcement Learning Environments Hub. By redefining evaluation and training as interchangeable functions within these environments, the system allows Fortune 500 teams and research groups to optimize specific workflows for sectors like medical diagnostics and cybersecurity without relying on generic pre-training or big tech walled gardens. This approach empowers organizations to democratize frontier AI capabilities, enabling them to replicate Cursor's success in developing specialized agentic models while compounding institutional expertise over time.

  12. Goldman Sachs25 min

    ‘Affordability’: Consumer Concerns and Government Proposals

    David Mericle, Alec Phillips, Allison Nathan

    Amidst a persistent housing affordability crisis driven by regulatory constraints and construction labor shortages, the administration has relied on reactive executive orders to utilize Fannie Mae and Freddie Mac capacity rather than enacting comprehensive legislative reforms. While these measures aim to modestly lower mortgage rates through increased mortgage-backed security purchases and a ban on institutional single-family home purchases, they fail to address the root causes of supply scarcity or deliver immediate price relief for homeowners. Future policy focus is expected to shift toward zoning incentives and speculative tariff rebates, though significant progress remains hindered by the need for congressional approval and the long-term nature of structural housing deficits.

  13. All-In Podcast1h 57m

    Binance CEO: 4 Months in Prison, $4 Billion Fine, and What Comes Next

    Friedberg, CZ, Chamath

    Changpeng Zhao, a Chinese-born entrepreneur who co-founded Binance in 2017 after pivoting from a Shanghai IT startup, served a four-month federal prison sentence in 2024 following a guilty plea to banking secrecy violations. His legal resolution involved a significant sentence reduction, leading to his immediate release to the UAE and a full presidential pardon in early 2025 that facilitated the company's renewed U.S. operations. Post-release, Zhao has shifted focus toward AI-driven crypto education and infrastructure development, prioritizing non-speculative utility while emphasizing emotional stability and consistent execution in his business philosophy.

  14. Goldman Sachs13 min

    Stock Market Shakeout

    Shawn Tuteja, Chris Hussey, Sean Tatasia

    Following the most significant volatility since the onset of the COVID pandemic on February 4th, U.S. equities underwent a structural risk reduction driven by excessive long positioning rather than a fundamental market shift. Despite record shorting activity and a divergence between legacy tech and cyclical sectors, the bull market thesis remains intact supported by 11% earnings growth and strong macroeconomic indicators. Market strategists now recommend capitalizing on the recent dip by shifting focus toward the "AI productivity" phase, targeting non-technology companies like banks and retailers that leverage artificial intelligence to improve margins.

  15. 20VC with Harry Stebbings1h 20m

    a16z, Anish Acharya: Is SaaS Dead? Do Margins Still Matter? Why We Are Not in an AI Bubble?

    Anish Acharya, Harry Stebbings

    Andreessen Horowitz outlines a rigorous investment strategy that prioritizes Series A capitalization in companies demonstrating verified product-market fit while rejecting the notion that AI will immediately displace core enterprise software systems. The firm argues that while traditional SaaS incumbents retain strong pricing power, sustainable competitive advantages now rely on live data network effects and "native categories" that leverage human emotion rather than commoditized foundation models. By shifting focus toward verticalized applications and consumption-based unit economics, a16z anticipates that the next decade of value creation will emerge from specialized AI tools augmenting human workflows rather than fully autonomous agents or blanket software replacement.