11 Jul 2025
45m

The AI Infrastructure Stack with Jennifer Li

Podcast cover

AI + a16z

In this episode of the Complex Systems podcast, Jennifer Li, a general partner at a16z, discusses with host Patrick McKenzie the infrastructure changes driven by AI. They explore the evolving application stack, the role of middleware, and the increasing importance of diffusion models. The conversation covers the shift towards local and edge computing, model distillation techniques, and the orchestration of various AI models. They also discuss how AI is transforming B2B SaaS tools, the emergence of new infrastructure companies specializing in reinforcement learning environments, and the impact of AI on traditional infrastructure components like API gateways and observability tools. The discussion further explores the critical role of web scraping and API tooling in enabling AI agents, as well as the future of SaaS in an AI-driven world.

Outlines

Part 1: AI Infrastructure Overview

Part 2: Compute, Models, and AI Tasks

Part 3: AI Capabilities and Environments

Part 4: Observability and Self-Healing Systems

Part 5: Agents and APIs

Part 6: SaaS and Expertise

Part 7: Conclusion

Sign in to continue reading, translating and more.

Open full episode in Podwise