Latest Interviews
Showing 46–60 of 6,329 interview transcripts.
Can You Still Win in Venture Without a $1BN Fund? Menlo’s Venky Ganesan on the New Rules of VC
Venky Ganesan, Harry Stebbings
Menlo Ventures employs an aggressive "buy everything" strategy to participate in defining AI companies, prioritizing the ability to scale positions in outliers over maintaining high initial ownership stakes. Partner Venky Ramachandran guides this approach by emphasizing data-backed conviction, rapid capital deployment, and the selection of founders capable of communicating complex concepts simply. The firm accepts dilution and lower equity percentages at the seed stage to secure entry into massive opportunities like Anthropic, aiming to maximize returns through asymmetric upside rather than early-stage control.
Stripe’s John Collison: AI Agents Will Rewire the Internet
John Collison, Molly O'Shea, Paul
In 2025, Stripe processed $1.9 trillion in payment volume while pivoting its acquisition strategy toward crypto-native infrastructure and multi-model routing to support a predicted "Singularity epoch" of recursive AI self-improvement. The company forecasts a surge in new firm creation driven by accessible AI tools but warns of a widening cybersecurity gap where agile startups outpace legacy enterprises in defense against AI-empowered attacks. Concurrently, Stripe is shifting its internal focus from human-centric APIs to "AI ergonomics" and analog operational habits to navigate a commerce landscape where autonomous agents are displacing traditional product discovery and aggregators.
- a16z50 min
The Current State of Consumer AI
Elena Burger, Olivia Moore, Josh Elman
Current AI market dynamics reveal a shift from productivity tools to autonomous agents, driven by high-spending power users who generate a disproportionate share of revenue. While OpenAI leads the field with a $1 billion annual ad run rate and dominant subscription numbers, competitors like Anthropic capture niche enterprise value through premium pricing models. Future growth hinges on overcoming privacy barriers to unlock network effects and transitioning business models from subscriptions toward ads and transaction fees as inference costs decline.
- The Diary Of A CEO1h 28m
Dana White: This Generation Thinks You Can Build A Business From Home, It's Impossible!
UFC President Dana White leverages a disciplined management philosophy centered on recruiting relentless "killers" and prioritizing superior matchmaking to scale the organization to a $50 billion valuation. By securing an $8 billion television deal with Paramount and expanding into boxing and Power Slap, White aims to construct an enduring combat sports empire that outlasts his own tenure. His approach combines personal resilience forged through a difficult upbringing with a relentless focus on execution, ensuring the UFC remains the dominant market force while challenging established leagues like the NFL and NBA.
- The Economist10 min
How to reform the tax system | The Economist
Zannie, Tom, Sandy, Colbert, Gabriel Zucman
A panel of experts surveyed viewer preferences on AI-era taxation, revealing a split between support for consumption taxes and billionaire levies while economists warn against the political feasibility of shifting solely to consumption or wealth taxes. The discussion emphasized that an optimal system must balance revenue generation with redistribution through a composite approach, prioritizing the reform of capital gains taxes over new wealth levies to address AI-driven returns without triggering capital flight. Ultimately, the speakers argued that tax policy requires clear assumptions about future government spending levels before implementing structural changes, noting that the current US reliance on progressive income taxes yields less redistribution than European models due to smaller social safety nets.
- a16z48 min
Why Specialized AI Could Beat The God Model
Erik Torenberg, Alex Atallah, Amjad Masad
Following Stripe's acquisition of OpenRouter, the combined entity aims to merge payment infrastructure with AI inference to support enterprises blending proprietary and open-weight models for cost efficiency and data sovereignty. Industry leaders advocate for a shift away from universal "God agents" toward specialized, vertically focused systems that utilize structured output and smaller decision models to mitigate deception risks and ensure psychological accountability. This strategic pivot enables companies to deploy bespoke, low-maintenance tools that reduce vendor lock-in while addressing the growing maturity of internal AI practices.
Crusoe CEO: Why Everyone Gets GPU Depreciation & AI Energy Costs Wrong
Chase Lochmiller, Harry Stebbings
Crusoe Energy secured a $3.9 billion Series F round to reach a $30.9 billion valuation while pivoting from Bitcoin mining to a vertically integrated AI infrastructure model. Founder Chase Lockmiller leads the company's strategy to bypass traditional supply chain delays by manufacturing power distribution internally, enabling the rapid deployment of a 1-gigawatt-scale computing facility in Abilene that promises to deliver capacity significantly faster than the industry standard. This approach addresses critical constraints in skilled labor and physical connectivity through modular construction and closed-loop cooling, aiming to generate substantial local tax revenue while managing GPU asset lifecycles through diverse revenue streams.
- All-In Podcast1h 22m
Trump’s Super Intelligence Summit, AI Safety Accord, GDP Beats, Midterm Predictions
Trump, Chamath, Jason, Friedberg, Nick, Sax, Jake
President Trump convened the White House Superintelligence Summit where CEOs from six major AI firms signed the "White House Accord," establishing a self-regulated framework of internal safety controls and external audits enforced by the FTC and SEC. This agreement rejects international moratoriums in favor of private sector accountability, a shift supported by strategic predictions that future governance will focus on regulating compute allocation and energy infrastructure rather than software alone. Concurrently, strong economic data and a recent foiled terror attempt on a Flydubai flight underscored the administration's narrative of national resilience against both economic instability and security threats.
- Goldman Sachs8 min
Goldman Sachs Chief Economist Jan Hatzius Joins CNBC to Discuss His Outlook for the US Economy
Goldman Sachs chief economist Jan Hatsias forecasts a single 25-basis-point Federal Reserve rate hike in December while projecting global inflation to stabilize at 2.2% by late 2027. Despite market expectations of further tightening, the firm attributes current financial conditions to rising long-term rates and anticipates that artificial intelligence will eventually boost long-term growth by 1.5 percentage points. This outlook relies on benign October CPI data and assumes that a potential resolution to geopolitical tensions in Iran could further reduce the probability of additional rate increases.
- The Economist38 min
“Russia and Ukraine are inventing the future of war”: former Google CEO Eric Schmidt | The Economist
Eric Schmidt, Zanny Minton Beddoes, Zach
Former Google CEO Eric Schmidt analyzes the evolving nature of the Ukraine war, warning that Russia's shift to total war and deployment of advanced technologies like the Rusvet satellite network and jet-propelled Shahed drones are rapidly closing the gap with Ukrainian innovation. Schmidt further contends that while autonomous military systems currently lack true strategic AI, the U.S. and Europe must overcome institutional inertia to adopt cheaper drone and AI solutions to counter these threats without violating the mandatory principle of human-in-the-loop oversight. The discussion concludes with a strategic assessment of China's lack of recent combat experience and a proposal for diplomatic "no surprises" treaties to manage AI risks in potential future Pacific conflicts.
- a16z59 min
Why Building an AI Agent Is Easier Than Deploying One
Seema Amble, Elena Burger, Vladimir Keil, Vlad Kyle
Leo is an AI-native startup that deploys a multi-agent architecture to solve the 80% of procurement work ignored by legacy ERPs, moving beyond simple data retrieval to handle complex judgment calls and strategic negotiations. By utilizing a human-in-the-loop adoption strategy, the company has enabled Fortune 500 enterprises to automate both indirect spend and high-stakes direct sourcing while maintaining necessary trust and accuracy. With a business model focused on end-to-end autonomy rather than point solutions, Leo aims to capture the trillion-dollar opportunity of converting unstructured procurement exceptions into measurable financial savings.
- Bank of America8 min
Signals & Noise: Earnings Over Elections
BofA Global Research strategist Savita Subramanian projects the S&P 500 to reach 7,400 by year-end and 7,800 within twelve months, citing earnings growth outpacing price returns despite inflation risks. The analysis upgrades long-term bonds as an attractive entry point while maintaining an equity bias driven by AI-driven productivity gains and a strategic shift toward large-cap value leaders. Furthermore, Subramanian views midterm political gridlock as a neutral market factor and identifies a late 2027 catalyst where cloud sales are expected to surpass AI spending.
- Bank of America24 min
Novel now, big scale shortly; AV speed reinforced by Bay Area trip
Martyn Briggs, Alex Perry, TJ Thornton
On September 16, 2026, industry observers analyzed the rapid commercial scaling of autonomous driving during a Bay Area field trip involving 15 corporations, including Waymo and Tesla. The event highlighted a strategic pivot from technical validation to mass operations, noting that global robotaxi fleets are projected to reach 7,000 to 10,000 units by late 2025 while transitioning from rule-based systems to AI-native architectures that drive down costs to $0.30 per mile. Ultimately, the analysis suggests that execution in manufacturing and safety validation will determine market winners, with autonomous trucking and physical AI applications expanding beyond dense urban centers to reshape global logistics and vehicle ownership models.
If an AI Model Can Cheat, It Will | Turing CEO on Reward Hacking
Jonathan Siddharth, Molly O'Shea
Shifting focus from test mastery to real-world application, the event details the 2026 transition where enterprises leverage simulated reinforcement learning environments to deploy autonomous agents for complex, long-horizon workflows. Organized by Turing in partnership with NVIDIA and Anthropic, the discussion highlights how custom open-weight models and proprietary frontier systems will coexist to optimize core business processes while addressing emerging safety risks like emergent cooperation and biological threats. The dialogue concludes with a strategic roadmap for the next decade, emphasizing a slow takeoff of superintelligence to solve fundamental human constraints through rigorous safety engineering and the democratization of healthcare.
- Goldman Sachs9 min
Al Is Becoming a Stock Picker's Market
Investors are navigating a maturing AI cycle characterized by a shift from infrastructure to application-layer opportunities, where software dispersion favors security and data enablers over traditional SaaS. Despite a 20% compression in NASDAQ multiples driven by rising 10-year yields above 5.25%, market returns remain supported by earnings growth and expectations of a Q3 semiconductor rebound linked to consumer AI. Upcoming catalysts include the Fed's next meeting, mid-month earnings focused on return on invested capital, and the upcoming midterm elections, which collectively frame a strategic outlook targeting productivity gains through 2027–2028.