Latest Interviews

Leading Through Complexity: EY’s Janet Truncale on Leadership, AI, and the Modern Boardroom

Janet Truncale, Matt McClure

EY Global Chair Janet Troncalli is steering the firm's transformation into a tech-enabled professional services model that leverages AI for 400,000 employees across 150 countries while prioritizing a "humans at the center" approach. The organization is shifting toward co-source managed service partnerships and fostering a challenger culture to navigate geopolitical risks, evidenced by accelerated client capital deployment despite dampened M&A activity. This strategic pivot is underpinned by a unified global operating model, extensive AI training for the workforce, and a leadership framework designed to manage complex decision-making through alignment over consensus.

Nebius Co-Founder on AI Infrastructure Bubbles | How Price Elastic is Demand for Compute

Roman Chernin, Harry Stebbings

Nebius navigates a critical 6–12 month execution bottleneck by leveraging a four-layer product strategy that evolves from bare metal infrastructure to agentic orchestration, aiming to diversify its client base beyond hyperscalers to thousands of enterprises. Co-founder Roman defends the sector's growth trajectory against bubble concerns, arguing that the Jevons Paradox will drive surging demand for optimized open-source models while European sovereignty initiatives foster a distinct ecosystem of builders. With a 2025 capital expenditure program of $20–25 billion and recent institutional validation from a 5.3% stake disclosure, the company positions itself as a cost-efficient alternative to hyperscalers by prioritizing Total Cost of Ownership reductions over raw hardware pricing.

The Economics of AI Usage and What's Next For SaaS | Benedict Evans on a16z

Benedict Evans, Erik Torenberg

Benedict Evans analyzes the rapid transition of agentic coding into a definitive product-market fit, noting how massive CapEx investment by major tech firms is currently creating a disequilibrium between supply and demand. He argues that while foundation models may eventually become low-margin commodities akin to mobile infrastructure, the immediate future involves significant adoption challenges and a divergence between deep workflow integration and superficial usage. Ultimately, Evans suggests that AI will drive profound economic restructuring and invisible automation, though the primary financial value will likely accrue to application-layer companies rather than the model providers themselves.

DEBATE: The Death Of The Middle Class! Only The Top 1% Will Survive!

Nick Hanauer, Daniel Priestley

Economists Nick Hanauer and Daniel Ek diagnose a K-shaped economy where decoupled productivity and aggressive financialization have stripped median workers of wages while concentrating wealth in the top 1%. Hanauer advocates for breaking up monopolies, reforming tax codes, and establishing sovereign wealth funds to redistribute capital, whereas Ek prioritizes widespread entrepreneurship, education, and small business density to restore worker agency. Despite their differing strategies for minimum wage and state intervention, both agree that without shifting from capital efficiency to human flourishing, current trends will likely trigger severe social unrest or political instability.

Why Secondary Markets Are Eating the IPO | All-In Liquidity Secondary Markets Panel

Brad Gerstner, Gavin Baker, Kelly Rodriques, Chamath, Jason, Friedberg, Naval, Thomas Lafont, Keller

In Q1 2025, the private market established secondary trading as a primary exit mechanism for late-stage companies like Anduril and SpaceX, with employee transactions accounting for 31% of primary venture activity as shares shifted to a premium valuation. Institutional players such as Schwab and Vanguard are democratizing access through regulated interval funds, prompting a structural shift where venture capital firms actively manage capital recycling to return liquidity to limited partners. While panelists identify AI infrastructure and space logistics as key investment areas within a "parabolic" but fundamentally sound market, they also warn of emerging regulatory pressures and the risks of retail investors lacking the discipline to navigate cyclical drawdowns.

What SpaceX, OpenAI and Anthropic's IPOs mean for investors | The Economist

Joshua Roberts, Jason Palmer

SpaceX, OpenAI, and Anthropic are executing simultaneous "giga IPOs" projected to inject up to $4 trillion into the US stock market, driven by urgent capital needs and a strategic push to capitalize on AI-driven market euphoria. While index providers plan to rapidly integrate these valuations into benchmarks like the S&P 500 within days, analysts warn that high price-to-sales multiples and historical IPO underperformance trends suggest significant risks of price volatility and subsequent declines for early investors. This surge marks a structural shift where tech giants prioritize massive capital raising over shareholder returns, potentially reversing previous capital flows as firms speculate on future revenue streams like Mars colonization and space-based data centers.

Inside Legora's Tech Stack: Why Token Maxing is Failing Enterprise Startups | Legora CTO

Jacob Lauritzen, Harry Stebbings

Legora has achieved $100 million in ARR within 18 months while scaling its engineering team to approximately 80 members with a goal of 270 by late 2027, driven by an aggressive adoption of AI coding tools like Cloud Code and Cursor. CTO Jacob Loretz has redefined operational strategy by treating AI spending as an investment against opportunity costs and shifting product management roles toward strategic prioritization while retaining human oversight for high-stakes security reviews. To maintain its market position against AI-generated "slop," the company emphasizes opinionated design and custom internal tooling, aiming to avoid direct competition by mastering complex edge cases and evolving toward a future where system architecture replaces line-by-line coding.

Emergent: How Six Months of Tinkering Led To A $100M ARR Company

Mukund Jha, Jared Friedman

Emergent is an AI-driven platform founded by Dunzo alumni Mukund and Madhav that enables non-programmers to build and monetize functional software through natural language interaction. Operating with a 95% Bangalore-based engineering team, the company has scaled to an $100 million annual recurring revenue run rate and serves over 8.5 million users by leveraging a proprietary multi-agent architecture that ranks first on industry coding benchmarks. The platform distinguishes itself by focusing on end-to-end software execution rather than prototypes, having shipped over 10 million applications globally within its first nine months of operation.

Copper: AI Hype or Supply Squeeze?

Adam Crook, Tony Kim

A commodities strategist analyzes the divergence between gold's resilient safe-haven performance during the Iran conflict and the skepticism regarding its near-term upside caused by shifting macro rates. The trader assesses silver's limited upside potential due to its tight correlation with gold, while maintaining a neutral stance on copper despite AI-driven demand narratives that conflict with current global surplus levels. Finally, the outlook for aluminum projects a temporary physical deficit and price appreciation through summer before a surplus is expected to emerge following the resumption of Middle Eastern production later in the decade.

Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, Applied AI

Tuhin Srivastava, Apoorv Agrawal, Doohan

Base10, led by CEO Toohin, provides a managed inference infrastructure that powers over 30 trillion tokens daily by aggregating 18 clouds to optimize costs for custom open-source AI models. The company differentiates itself from hyperscalers by abstracting complex hardware management and enabling customers to post-train proprietary models, a strategy driven by a thesis that GPU scarcity will remain permanent as agentic demand grows exponentially. With a projected capital expenditure of $7 billion to secure 150,000 B200 equivalents, Base10 aims to industrialize AI deployment through modular data centers and a transition from compute markup to token-based pricing.

Dan Loeb: The Lost Art of Short Selling, and Why Stock Picking is Back

Dan Loeb, Chamath, Jason, Friedberg

Third Point founder Dan Loeb outlines his firm's strategic evolution toward a multi-platform model managing nearly $30 billion in assets, which integrates hedge fund operations, private credit, and insurance to capitalize on selectivity in a shifting bond-and-credit market. Loeb details aggressive investment tactics including shorting the housing sector and bullish positions on NVIDIA, while emphasizing the irreplaceable human element in assessing character alongside technological literacy. Beyond finance, the narrative highlights Loeb's high-profile criminal justice reform efforts, specifically the successful advocacy for the pardon of Ross Ulbricht, and his philanthropic focus on education reform to address income inequality.

Why are Gen-Z socialists obsessed with taxing billionaires? | The Economist

Generational shifts are driving a move from traditional progressive taxation toward novel levies on immovable wealth, exemplified by New York's new pied-à-terre tax on non-resident luxury properties. While economists debate whether targeting static assets like real estate avoids the innovation-killing pitfalls of direct billionaire wealth taxes, the discourse is increasingly expanding to include inheritance reform and one-off proposals in states like California. As AI-driven IPOs generate new ultra-high-net-worth individuals, this debate is poised to redefine fiscal policy beyond the narrow "billionaire" label in both the US and UK.

Will European Equities Outperform the S&P?

Sharon Bell, Chris Hussey

European equities have surged to near all-time highs driven by a 6–7% average upgrade in earnings estimates within the commodity and financial sectors, supported by resilient economic growth and planned German fiscal spending. Goldman Sachs has raised its 12-month Euro Stoxx 600 forecast to 660, citing the region's broader market breadth and the underappreciated potential of heavy asset companies in defense, aerospace, and utilities that are benefiting from global infrastructure and defense spending. While analysts project high single-digit returns for Europe over the coming year, the market is expected to trail U.S. and Asian performance due to lower energy independence and the concentration of tech dominance in American hyperscalers.

Future of Storytelling: A Conversation with Laurene Powell Jobs & Darren Walker | Global Conference

Laurene Powell Jobs, Darren Walker, Davis Guggenheim

Former Ford Foundation president Darren Walker has assumed the role of CEO at Anonymous Content, a strategic move intended to restore the studio's institutional stability following the grief-stricken vacancy left by founder Steve Golan. Walker and board member Lorraine Twohill position the leadership transition as a response to an evolving media landscape characterized by evaporating legacy revenue and a critical distribution bottleneck, leveraging the studio's independence from private equity to fund long-term, high-risk storytelling. Together, the new leadership emphasizes a renewed focus on human-centric narratives that bridge physical and digital divides, aiming to reset industry confidence through projects that prioritize universal resonance over activist didacticism.

The better AI gets, the smaller its share of the economy might get – Alex Imas and Phil Trammell

Alex Imas, Phil Trammell

Economists and technologists discuss a post-AGI future where scarcity concentrates in the "relational sector" as automation drives capital accumulation, creating a complex transition where historical precedents like the Industrial Revolution may not guarantee stable labor shares. While experts reject fears of immediate white-collar collapse or demand collapse, they warn of political risks stemming from slow, decades-long job displacement and the potential for wealth concentration if AI remains monopolized rather than commoditized. The consensus suggests that broad prosperity depends on adopting new wealth distribution mechanisms like sovereign wealth funds and ensuring open AI models to prevent extreme inequality and maintain human-centric economic value.