Latest Interviews
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Clear all filters- a16z1h 32m
Building a Company in Stealth | Travis Kalanick with a16z
Travis Kalanick, Ben Horowitz, Erik Torenberg
Travis Kalanick, reflecting on lessons from his 2017 departure from Uber, is now leading ADAM, a stealth-backed venture that digitizes physical manufacturing and logistics to drive meal costs down to $8–$10. By integrating over 300 dark kitchen facilities and autonomous mining operations acquired from Pronto, the company leverages robotics to transform heavy industries while avoiding the external pressures that previously hindered Uber's scalability. Kalanick applies an "Industrial AI" framework focused on internal correctness and management capacity constraints to scale operations in food, mining, and transport simultaneously.
- All-In Podcast1h 31m
OpenAI's Identity Crisis, Datacenter Wars, Market Up on Iran News, Mamdani's First Tax, Swalwell Out
Mamdani, Swalwell, Travis Kalanick, Jason, Friedberg, David Sacks, Chamath Palihapitiya
Speakers analyze the economic risks of New York City's proposed 3.9% luxury pied-à-terre tax and the intensifying rivalry between OpenAI and Anthropic as the latter surges to a $30B run rate. The discussion further details how populist backlash and regulatory hurdles are threatening data center expansion, forcing AI firms to pursue independent energy solutions like nuclear and solar power to overcome grid constraints. Finally, the hosts critique market overvaluation amidst geopolitical tensions, debating the scalability of AI enterprise revenue while noting urgent calls for major private companies like SpaceX to pursue initial public offerings.
- All-In Podcast1h 49m
DeepSeek Panic, US vs China, OpenAI $40B?, and Doge Delivers with Travis Kalanick and David Sacks
Travis Kalanick, David Sacks, Masa, Friedberg
Travis Cowan and David Sacks outline a technological landscape where Cloud Kitchens' robotics redefine food infrastructure, while DeepSeek's efficient AI model triggers a market correction that shifts value from frontier model development to application layers and hardware. Concurrently, the Trump administration's DOGE initiative aims to stabilize fiscal policy through aggressive federal spending cuts, though critics warn that mandatory programs limit executive leverage and that energy grid capacity remains the ultimate constraint on scaling autonomous vehicles and data centers. Together, these developments signal a transition toward an economy defined by commoditized compute, energy scarcity, and infrastructure-centric innovation driven by both US policy and Chinese technological efficiency.