Latest Interviews
Showing 436–450 of 4,866 transcripts.
Clear all filters- The Diary Of A CEO1h 26m
No.1 Christianity Expert: If You DON'T Believe In a God You NEED to Hear This!
John Lennox examines the risks of conflating narrow AI systems with true consciousness while critiquing transhumanist ambitions to engineer superhuman deities. He contrasts these technological shifts with the Christian framework that grounds human dignity in the image of God, arguing that reductionism fails to explain the coexistence of beauty and suffering. Drawing from his recent publications and decades of evidentiary inquiry, Lennox calls for skepticism toward AI-driven misinformation and advocates for a faith grounded in personal experience rather than blind leaps of logic.
- All-In Podcast30 min
Bill Ackman: Here's What the Market is MISSING
Bill Ackman, Chamath, Jason, David
Howard Ackman outlines a strategic evolution at Pershing Square toward concentrated long-term holdings in high-quality businesses, leveraging deep board involvement to counteract market short-termism and capitalize on undervalued legacy tech giants amidst AI-driven disruption. His approach extends to late-stage founder-led ventures like SpaceX and XAI, which he values through a venture capital lens of people and opportunity, while simultaneously repurposing the Howard Hughes Corporation into a "Berkshire 2.0" model that utilizes real estate cash flows to fund an insurance float for tax-efficient capital compounding. Ackman further explains how social media dynamics now enable persistent narratives to influence valuations, supporting a three-vehicle investment structure that includes a royalty-based management company, a public discount vehicle, and a transformed real estate holding to deliver sustained growth over decades.
- All-In Podcast32 min
OpenAI CFO Sarah Friar: IPO, AI Rivalries, New Device, and Spending $100B+ on Compute
OpenAI's CFO Sarah Fryer announced a historic $122 billion fundraising round and detailed a strategic pivot toward a 50-50 split between consumer and enterprise revenue while managing a global compute deficit through a $1 billion Michigan data center and diversified cloud partnerships. With ChatGPT serving over 900 million weekly users and a new "agentic" hardware interface set for release, the company aims to leverage vast user data to build a potent advertising model that prioritizes user intent and memory without compromising output neutrality. Looking ahead to 2030, OpenAI projects that rising infrastructure costs will be offset by improved model efficiency, maintaining its position as a single foundational AI utility across multiple global markets.
- 80,000 Hours2h 48m
I lead AGI safety at Google DeepMind – here's the view from the inside | Rohin Shah
Rohin Shah argues that catastrophic AI misalignment is not an inevitable default outcome, contending that current training trajectories and prosaic alignment techniques offer a high probability of success against plausible but non-inevitable risks like deceptive alignment. He advocates for nuanced governance through third-party expert audits and internal safety teams rather than rigid public commitments, noting that corporate constraints often drive apathy rather than active opposition to safety measures. Shah concludes that the field should prioritize concrete, implementable solutions and competent personnel over theoretical frameworks, projecting a gradual timeline for intelligence explosions while dismissing the notion that immediate, hyperbolic growth will render safety efforts obsolete.
- Goldman Sachs26 min
The AI Investment Boom: When Will It Pay Off?
Jim Covello, Alison Nathan, George Lee
In a Goldman Sachs Exchanges episode recorded on May 26, 2026, Jim Cabello and George Lee analyze the divergence between surging AI technology and unproven economic returns. Cabello admits previous misjudgments regarding consumer adoption and hyperscaler spending patterns while warning that the current exclusive profitability of semiconductor firms creates an unsustainable market dynamic. The dialogue concludes that without evidence of enterprise-scale profitability within the next two years, the industry faces a potential correction where hyperscaler stocks are poised to outperform if capital expenditure moderates or profit distribution shifts upstream.
Why Impulse Raised $500M to Move Things in Space | President & COO Eric Romo
Impulse Space has secured a $500 million Series D investment led by 137 Ventures and Banner VC to expand its workforce and manufacturing capacity for the Helios commercial upper stage and the Mira defense vehicle. The company is pivoting its Mira product from a commercial orbital tug to a rapid-repositioning asset for the U.S. Space Force, addressing national security needs by countering adversary satellite constellations in geostationary orbit. With funding allocated to support a production rate of one Mira unit per month and initiate Helios missions next year, Impulse aims to deliver direct-to-GEO transfers that significantly reduce operational costs while leveraging a vertical integration strategy learned from SpaceX.
- Sequoia Capital40 min
Knowing What Your Customers Want, All the Time: Listen Labs' Alfred Wahlforss
Listen Labs leverages its database of 30 million participants to transition from AI-conducted interviews to generative agent simulations that predict individual customer preferences with up to 95% accuracy. Founder Alfred Walforce directs the platform to serve Fortune 500 clients like Microsoft and Chubbies by identifying specific product friction points and integrating insights directly into autonomous coding workflows. This approach creates a proprietary feedback loop where behavioral data refines agent models, allowing businesses to validate product decisions without the churn and cost of traditional market research.
Mercor CEO: Why Application Layer Companies Have No Moat & The Cost of Hiring AI Researchers
Brendan Foody, Harry Stebbings
McCor, a $10 billion company recently led by Brandon Foody, recently added $300 million in new ARR and established an "AI training agents" workforce paying over $3 million daily. Following a rapid containment of a security breach and the denial of acquisition rumors, the firm is pivoting strategy toward data moats and compute infrastructure while predicting that AI inference costs will soon exceed human labor expenses. Foody outlines a five-year outlook where frontier model valuations reach $10 trillion, driving a shift toward open-source inference and a "golden age" of AI security engineering.
"We Don't Trust Agents" - What This CTO Knows That You Don't
Shensi Ding, Gil Feig, Molly O’Shea
Merge leverages a three-product suite to power core search and AI connectivity for major enterprise clients like OpenAI and Netflix, maintaining high-reliability SLAs while pivoting its business model toward AI-driven infrastructure. The company aggressively internalizes AI adoption across all departments to accelerate development and defend against sophisticated, automated security threats that plague the industry. Looking ahead, Merge aims to capitalize on the enterprise shift toward headless, agent-managed operations by prioritizing cash efficiency and production-grade governance over speculative valuation multiples.
- Bank of America22 min
Inflation and the inflation markets
Mark Capleton, Stephen Juneau, Alessandro Infelise-Zhou, Meghan Swiber
Strategists attribute the current surge in US inflation to Iran-related energy shocks, supply chain pressures, and AI-driven capital expenditure, while noting weaker fiscal stimulus compared to the pandemic era has kept demand-side inflation subdued. Although the Federal Reserve is likely to hold rates until labor market signals improve, forecasts now suggest a first 50-basis-point cut will not occur until the second half of 2026, whereas the Euro Area and UK anticipate earlier ECB rate hikes in mid-2025 followed by a slower cut cycle starting in 2027. Market positioning has shifted to short duration and long risk assets despite underpriced tail risks from prolonged conflict, as five-year inflation expectations remain anchored and European real rates continue to support a bullish bond stance.
The Hardest Working Startup in America | Nico Laqua, Co-founder & CEO @ Corgi
CEO Nico leads Corgi Insurance, a $2.5 billion valuation fintech that enforces a mandatory seven-day work week to prioritize speed and a "culture of winning" over traditional work-life balance. The company operates across San Francisco, London, and other hubs while deploying AI to automate highly regulated insurance sectors and funding a 24/7 San Francisco workspace to support its intense operational tempo. Despite facing significant criticism and death threats for these demanding policies, Nico maintains strict executive autonomy and refuses secondary market sales, aiming to build a trillion-dollar enterprise by leveraging AI for sales and marketing efficiency.
- All-In Podcast1h 35m
Anthropic's Digital God, Pope vs AI, Job Loss Narrative Flips, Open Source Crackdown Coming?
Bill Gurley, Pope Leo, Dario, Sam Altman, Goldman CEO, Jason, Friedberg, David Sacks, Chamath Palihapitiya, Nick
Pope Leo XIV issued the encyclical *Magnifica Humanitas* to warn against AI's embedded values and autonomous weapons, sparking a debate among Bill Gurley, Dario Amodei, and Jason Sachs regarding the dangers of centralized power versus the risks of government overreach. Panelists challenged prevailing doomerism by arguing that AI will augment rather than replace human labor, citing data showing rising engineering demand and corporate efforts to establish intelligence sovereignty through open-source models and on-premise hardware. Ultimately, the discussion highlighted a shift in enterprise strategy toward cost-efficient, locally controlled systems as major firms cut spending and regulators face pressure to avoid cementing monopolies by banning open-weight technologies.
- Milken Institute1h 0m
Leading with Purpose: The Corporate Moral Compass | Global Conference 2026
Diane Brady, Marvin Ellison, Ryan Gellert, Linda Hubbard, Daniel Lubetzky, Hamdi Ulukaya
CEOs from Chobani, Patagonia, Lowe's, Carhartt, and Kind convened to argue that embedding social purpose into core operations, rather than treating it as a trend, is essential for long-term business survival and shareholder value. The panelists detailed specific structural shifts, including Patagonia's profit redistribution, Chobani's employee ownership, and Lowe's massive investment in skilled trades, to demonstrate how authentic purpose drives growth while countering political polarization. Ultimately, the leaders asserted that aligning corporate strategy with community well-being and employee dignity is the only viable path to sustaining economic resilience in a divided society.
- a16z33 min
The New Rule for Picking AI Winners | The a16z Show
Frontier AI firms like Anthropic and OpenAI are currently outpacing the combined revenue growth of major tech giants, with a projected collective run rate of $200 billion driving valuations toward $100 billion by September. While current enterprise adoption remains largely efficiency-focused, supply chain constraints are expected to persist until late 2028, preventing an oversupply bubble despite the rapid scaling of $5 trillion in data center capital expenditures. As venture strategies pivot to securing market leaders in a shrinking startup half-life, the industry is poised for a structural shift where dominant AI entities redefine public market dynamics and consumer engagement over the next decade.
- Y Combinator24 min
Why Two IIT Engineers Turned Down $550K Jobs To Build A Startup
GigaML, a Y Combinator-backed startup founded by IIT Kharagpur alumnus Varun and his Stanford-educated co-founder, has pivoted from EdTech to developing AI agents that achieve 60% to 70% support deflection rates for major clients like DoDash and DoorDash. The company addresses the enterprise bottleneck of manual configuration by launching "AI forward deployed engineers" that automatically iterate policies to improve business metrics, a strategy enabled by their "0.1% talent" recruitment philosophy and heavy reliance on human-coded expertise rather than sales teams. By leveraging the YC trust network to secure early contracts with eight-person operations, GigaML aims to unlock broader enterprise AI adoption through a generic automation layer that eliminates the need for extensive human engineering resources.