The a16z Show

Theo Jaffee speaks with Samo Burja, founder of Bismarck Analysis, about AI, industrial capacity, economic growth, and the institutions that shape civilization. The conversation explores how AI’s demand for compute, energy, and infrastructure could trigger a new wave of industrial expansion, benefiting sectors far beyond technology. Burja argues that AI is not just a software story but a demand shock that will ripple through energy, manufacturing, construction, and global supply chains. They also discuss China and the United States, demographic decline, fertility, state capacity, welfare systems, and the political economy of automation. Along the way, Burja shares his views on functional institutions, economic growth, and why societies that can effectively organize people and resources may have an enduring advantage in the AI era.

Wyatt Thomson of OpenAI speaks with economists Tyler Cowen and Alex Tabarrok about AI, labor markets, and the future of economic growth. The conversation explores one of the most common fears surrounding AI: that increasingly capable systems will eliminate jobs. Cowen and Tabarrok argue instead that economic growth remains the key variable. Throughout history, productivity-enhancing technologies have transformed work, created new industries, and expanded living standards, even as they disrupted existing jobs and institutions. They discuss automation, comparative advantage, inequality, education, healthcare, energy, and the kinds of work that may become more valuable in an AI-driven economy. Along the way, they examine longer-term questions about abundance, ownership, AI agents, and how societies can adapt to rapid technological change.

Sarah Wang speaks with Exa cofounder and CEO Will Bryk about building search infrastructure for the AI era. The conversation covers Exa’s origins, why traditional search engines were not designed for AI agents, and how search changes when the user is no longer a human but an autonomous system. They discuss retrieval, agent workflows, coding agents, data access, and why search may become a foundational layer for the emerging agent economy. Along the way, Bryk shares his views on AI-native products, the future of information discovery, and why some of the most important problems in technology can ultimately be framed as search problems.

Theo Jaffee and Sophia Puccini speak with Balaji Srinivasan and Steven Glinert about the shifting balance of power between nations, networks, and technology. The conversation covers China’s industrial rise, America’s manufacturing challenges, the role of alliances in a multipolar world, and whether the internet is becoming a political force independent of traditional nation states. They discuss supply chains, technological sovereignty, decentralization, and competing visions for the future global order. Along the way, Balaji outlines ideas from the Network State and Network School, while both guests debate how technology, economics, and political power may evolve over the coming decades.

Anish Acharya and Olivia Moore speak with Pablo Palafox and Luis Paarup about the challenges of deploying AI agents in operationally complex industries. The conversation covers the evolution of voice AI, enterprise workflows, and why logistics became an early proving ground for agent-based systems. They discuss context, coordination, and execution inside large organizations, as well as the role of forward-deployed engineering, enterprise deployment, and what it takes to move AI from experimentation into production.

Angela Strange speaks with Dileep Thazhmon, founder and CEO of Jeeves, about building a global financial operating system for enterprises across Latin America using stablecoins and AI. The conversation covers the challenges of building localized financial infrastructure across 25 countries, from regulation and payments to underwriting and compliance. They also discuss why stablecoin adoption is accelerating in Latin America, and how AI is helping Jeeves scale billions in payment volume while automating underwriting, customer support, reconciliation, and KYB workflows.

Theo Jaffee and Sophia Puccini speak with economist Robin Hanson about prediction markets, gambling, and why he believes speculative markets are one of the most powerful tools humans have for aggregating information and forecasting outcomes. The conversation begins with Minnesota’s recent law criminalizing prediction markets before expanding into the broader backlash surrounding platforms like Kalshi and Polymarket. Hanson explains his long-term vision for “decision markets,” where markets could help guide choices made by companies, governments, and even individuals. Along the way, they discuss sports betting, games and human psychology, futurism, AI, and Hanson’s broader work on how societies misunderstand risk, incentives, and coordination

Clem Delangue joins MTS to discuss the global open-source AI landscape, the current large language model bubble, and the future of consumer robotics. Originally aired on MTS, Theo Jaffee and Sofia Puccini speak with Clément Delangue, CEO at Hugging Face, about the global open-source AI race, why he believes the real bubble is in API-based large language models, and how robotics could become the next major interface for AI. They also discuss AI safety, U.S.-China competition, open-weight models, and why Hugging Face became the infrastructure layer for open AI development.

Marc Andreessen joins Joe Rogan for a conversation on AI, politics, technology, and the future of American society. They discuss how artificial intelligence is rapidly moving from novelty to infrastructure, and why Andreessen believes its long-term impact will be overwhelmingly positive despite growing public fear around automation and surveillance. The conversation covers the explosion of AI coding tools, the emergence of “AI agents,” and how these systems are already reshaping software development, medicine, and education. Andreessen argues that AI should be understood less as replacement technology and more as a universal layer of cognitive augmentation, giving individuals access to capabilities that previously required teams of experts. They also discuss the political and cultural dynamics surrounding AI, from fears about mass unemployment and surveillance to concerns about censorship, centralized power, and China’s accelerating AI ecosystem. Along the way, the discussion expands into California politics, wealth taxes, urban decline, crime, housing, nuclear energy, and whether America can still build ambitious things at scale.

David Ulevitch speaks with Col. Jeffrey Glover and Rahul Sidhu about how AI, drones, and sensor networks are reshaping public safety and what it takes to bring new technology into law enforcement at scale. As departments face staffing shortages, burnout, and rising complexity, they examine how the right tools can make officers more effective, safer, and better supported. The conversation covers how drone-as-first-responder programs are changing the speed and safety of emergency response, from high-risk warrant service to Amber Alert pursuits. Glover describes how Arizona DPS is building a full technology ecosystem around its officers, including body-worn camera analytics for burnout detection, brain scan wellness checks, and international intelligence-sharing partnerships ahead of FIFA and the Olympics. Sidhu explains how Flock Safety's layered sensor network — license plate readers, gunshot detection, and drone dispatch — is turning reactive policing into proactive, data-driven response. They also discuss what founders get wrong when building for law enforcement, why spending time on the beat matters more than any product spec, and how the next decade will fundamentally change the skills required to be a police officer in America.

Ben Horowitz shares lessons from building and scaling companies, drawing on his experience as a founder and CEO. He explains why a founder’s primary responsibility comes down to one thing: delivering the right product at the right time. The conversation covers how strategy actually develops in practice, why a company’s story is inseparable from its strategy, and how founders should think about hiring, fundraising, and decision-making in fast-changing environments. Horowitz also discusses how AI is reshaping teams, the increasing importance of creativity and relationships, and why roles may evolve toward more generalist “builders.” He also reflects on navigating uncertainty, the reality of pivots, and why defensibility still comes down to solving hard problems and building meaningful relationships with customers.

David Haber speaks with Lloyd Blankfein, former CEO of Goldman Sachs, about leadership, risk, and navigating moments of extreme uncertainty. Drawing on his experience leading Goldman through the financial crisis, Blankfein shares how organizations can build resilience, make decisions under pressure, and maintain culture while scaling. They discuss the importance of risk management as both a discipline and a mindset, the difference between being wrong and being reckless, and how great organizations balance taking risk with protecting against it. Blankfein also reflects on Goldman’s partnership culture, how it shaped decision-making and accountability, and what it takes to build enduring institutions over time. The conversation also touches on technology, from the role it played in transforming financial markets to the implications of AI today, including its potential, risks, and the challenges of operating in systems that are increasingly complex and harder to fully understand.