Erik Torenberg speaks with tech analyst Benedict Evans about the current state of AI, what has changed over the past year, and which questions remain unanswered.

The conversation covers coding agents, foundation models, AI infrastructure spending, software economics, and the tension between today's AI excitement and the long-term realities of technology adoption. Evans discusses why coding has emerged as AI's first breakout use case, how previous platform shifts can help frame the current moment, and why many of the most important questions about AI remain unresolved.

Along the way, they explore the future of software, enterprise adoption, consumer behavior, and whether AI models ultimately capture value themselves or become infrastructure for the next generation of applications.

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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.

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Martin Casado speaks with George Fraser, cofounder and CEO of Fivetran, about the future of data infrastructure in the age of AI.

The conversation covers Fivetran’s merger with dbt, the changing role of data platforms, and why Fraser believes many companies are overestimating the threat AI poses to enterprise software. They discuss open data access, the backlash against AI agents accessing systems of record, and why businesses still need centralized data foundations even as agent-based workflows become more common.

Along the way, Fraser shares his views on data gravity, coding agents, enterprise AI adoption, and how AI is changing the way software companies build and operate products.

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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.

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Theo Jaffee speaks with Steven Sinofsky about the next generation of personal computing and the growing role of AI-native hardware.

The conversation covers NVIDIA’s entry into the PC market, Microsoft’s strategy for AI-powered devices, Apple’s hardware roadmap, and the long-running tension between backward compatibility and platform reinvention. Sinofsky explains why AI may fundamentally change how personal computers are designed, and why local inference could become increasingly important as AI workloads grow.

Along the way, they discuss Windows, Surface, Arm processors, Apple Silicon, and what the future of computing might look like as AI shifts from the cloud to devices.

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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.

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David George, General Partner at a16z, and David Clark, CIO at VenCap, discuss how AI is reshaping venture capital and the technology industry itself. They examine why today’s AI companies are scaling faster than any previous generation of startups, and why the eventual outcomes may be significantly larger than most investors currently expect.

The conversation covers frontier AI models, coding agents, open source competition, data center constraints, and who ultimately captures value in the AI ecosystem. They also discuss what these shifts mean for venture capital itself, including larger company outcomes, faster value creation, and the growing challenge of identifying durable winners in a market evolving at unprecedented speed.

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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.

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