The a16z Show

Andreessen Horowitz General Partner Anish Acharya speaks to SCAN Health Plan leadership about AI adoption, arguing that AI represents the most transformative technology since the wheel. He outlines three key areas of AI deployment—chat, coding, and customer support—while emphasizing that healthcare's 45% administrative cost burden makes it the most important sector for AI-driven efficiency gains.

Economists Tyler Cowen and Alex Tabarrok argue that AI will not cause mass unemployment but will instead transform labor markets, create new jobs, and dramatically raise living standards, much like previous technological revolutions. They draw historical parallels to the Industrial Revolution, Ricardo's fears about machinery, and the Luddites to suggest that fears of job destruction consistently underestimate job creation. They express optimism about AI's potential to reduce extreme poverty, extend healthy lifespans, and solve major scientific challenges.

Exa CEO Will Bryk discusses how his company is building a search engine specifically designed for AI agents rather than human consumers, arguing that agentic search requires fundamentally different architecture than Google's click-optimized system. He explains why LLMs have made it possible for a small team to compete with Google, and predicts agentic search will surpass Google Search in revenue by the 2030s.

Fivetran CEO George Frazier joins a16z's Martin Casado to discuss the evolving data infrastructure landscape, the threat of SaaS vendors locking down API access in response to AI agents, and the Fivetran-dbt merger. The conversation covers why centralized data remains critical for AI agents, the overhyped 'SaaSpocalypse,' and Frazier's contrarian views on data gravity and Postgres.

Tech analyst Benedict Evans reviews his 'AI Eats the World' presentation roughly 18 months after writing it, reflecting on what has and hasn't changed. He argues that agentic coding has emerged as the only clear product-market-fit use case so far, while fundamental questions about value capture, model commoditization, and broader adoption remain unresolved. Drawing on analogies to mobile, the internet, and PCs, Evans suggests foundation models may end up as commodity infrastructure rather than capturing value up the stack.

Balaji Srinivasan and Steven Glinert discuss the tension between nation-states and internet networks, the U.S.-China power imbalance, and the critical importance of allied coalitions for maintaining global balance. They argue that America's industrial and diplomatic failures are accelerating a potential Chinese-dominated world order, while Balaji contends that decentralized internet infrastructure could provide a counterbalancing force.

Steven Sinofsky, former Microsoft Windows division president, discusses NVIDIA's RTX Spark Super Chip announcement at Computex, the evolving AI-native computing landscape, and the ongoing tension between Apple and Microsoft's platform strategies. He argues that local AI compute will inevitably displace cloud-based token costs, and critiques Microsoft's approach of maintaining backward compatibility rather than embracing a clean break with legacy Windows architecture.

Pablo Palafox and Luis Parra, co-founders of Happy Robot, discuss how they built a voice AI platform for enterprise logistics and supply chain operations, starting with freight broker use cases and expanding to serve major global enterprises. They explain how voice was the critical unlock for automating complex operational workflows, and how their forward-deployed engineering model helped them build a flexible platform that solves enterprise coordination problems across industries.

A16Z's David George and VenCap's David Clark discuss how AI is fundamentally reshaping venture capital, with frontier AI companies like OpenAI and Anthropic adding revenue faster than Meta, Google, or Microsoft despite less than 5% enterprise diffusion. They argue the top 1% exit threshold has 10x'd in 24 months, supply constraints make a near-term bubble unlikely, and the biggest unknowable is the market structure of frontier model companies and its effect on token pricing.

Jeeves founder Dilip Tasman discusses building a stablecoin-native global financial operating system for enterprises across 25 countries, with a focus on Latin America. The company has grown revenue 10x and TPV from $400M to $3B+ by leveraging stablecoin infrastructure and AI to replace traditional fragmented banking rails. Tasman argues that owning core infrastructure, regulatory licenses, and embracing AI are the critical moats that make this model defensible.

Marc Rowan, co-founder and CEO of Apollo Global Management, discusses the firm's evolution from a distressed investing shop born out of Drexel's collapse into a $1 trillion alternative asset manager focused on retirement income and private credit. He explores Apollo's role in financing the AI infrastructure buildout, the democratization of private markets, and the repricing risk facing enterprise software investments. The conversation covers culture, moral leadership, and the convergence of finance and technology.

Robin Hanson discusses the broader potential of prediction markets beyond public topics, arguing their greatest value lies in advising organizational and individual decisions. He addresses the Minnesota law criminalizing prediction markets, the dominance of sports betting on current platforms, and his broader intellectual work on futurism and human behavior.

Ara Karazian, lead economist at Ramp, presents data from 50,000 businesses showing that the 'SaaSpocalypse' narrative is not supported by actual business spending. Seat-based pricing still dominates at 65-75% of spend, token-based pricing uptake is under 1%, and major SaaS incumbents like Figma are still growing. The real changes are more nuanced: multi-model adoption is rising, cost-consciousness is increasing, and AI is spawning new software categories rather than simply destroying existing ones.

Hugging Face CEO Clem Delangue discusses the shift away from open-source AI in the US while China dominates open-source contributions, argues against restricting AI model releases for safety reasons, and warns of a potential LLM bubble. He also touches on Hugging Face's robotics push with LeRobot and explains why Hugging Face became the go-to platform for AI model sharing over GitHub.

Rahul Vohra, founder of Superhuman, shares the contrarian product and business decisions behind building a cult email client, including manual onboarding, premium pricing, and a quantified product-market fit engine. He draws on his game design background to explain how intrinsic motivation and toy-like product experiences drive deep user engagement. The conversation covers his journey from RuneScape to founding Superhuman, which was ultimately acquired by Grammarly in 2025.

Marc Andreessen discusses the transformative potential of AI and its implications for various sectors, emphasizing its capability to enhance human productivity and creativity. He argues that AI's rapid evolution will lead to universal cognitive leverage, benefiting individuals by providing superpowers across different domains.

Michael Duffy and Dino Mavroukas discuss rebuilding the American defense industrial base through first-principles ship design, autonomous platforms, and commercial market integration. Ceronics is investing in shipyard infrastructure and workforce development to dramatically reduce labor hours and material costs. The conversation emphasizes that production capacity, not technology innovation, is now the primary constraint in defense.

This A16Z podcast transcript features Colonel Jeffrey Glover and Rahul Siddhu discussing how emerging technologies like drones, license plate readers, body camera analytics, and AI are transforming American law enforcement. They explore both the operational benefits and the cultural challenges of getting conservative police institutions to adopt new tools. The conversation also addresses officer mental health and advice for founders looking to build public safety technology.

Vitalik Buterin discusses the concept of 'sanctuary technologies' as a way to preserve human agency in an increasingly centralized and AI-driven world. He reflects on his personal evolution from autopilot thinking to active decision-making, drawing parallels between individual growth and technological development. The conversation also touches on the risks of cognitive erosion from over-reliance on AI tools.

Ben Horowitz speaks at A16Z's Speedrun about the singular importance of delivering the right product at the right time, arguing that everything else a founder or product manager does is secondary to that goal. He also discusses the evolving role of storytelling in company strategy, the traits that will matter most in an AI-driven talent landscape, and how founders should think about defensibility and fundraising.