PUBLISHED: APR 14, 2026INDEXED: APR 15, 2026, 12:04 AM

20VC: Anj Midha on Investing $300M into Anthropic | The Early Days of Anthropic & How 21 of 22 VCs Turned it Down | The Four Bottlenecks to Compute | What the China Has Smashed and Why We Should Be Worried

Key Takeaways

  • Scaling laws still drive super exponential performance gains

    throwing more compute at the problem is probably having, yeah, super exponential gains right now per iteration.

    Anj Midha
  • Culture is the most critical bottleneck for AI

    I think that culture actually might be the most important bottleneck of all time.

    Anj Midha
  • Internet data scarcity limits scientific model reasoning

    they were just missing a lot of the the physics and chemistry data you need to reason about the physical world.

    Anj Midha
  • Vertical integration solves missing context feedback loops

    Wherever there are some unique context feedback loops that are missing today, that's where you probably have the biggest bottlenecks

    Anj Midha
  • Robotic physical labs generate essential training data

    the way we solve that at Periodic was, you know, set up a physical lab with robots doing all that.

    Anj Midha
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Episode Description

Anj Midha is the founder of AMP, and a founding investor in Anthropic. Most recently, Anj was General Partner at Andreessen Horowitz, leading frontier AI investments. He serves on the boards of Mistral, Black Forest Labs, Sesame, LMArena, OpenRouter, Luma AI and Periodic Labs and is an early angel in ElevenLabs among others. Prior to that, Anj was the cofounder/CEO of Ubiquity6 (acquired by Discord) and a partner at Kleiner Perkins. AGENDA:   04:00 Why the "Scaling Laws are Dead" rumor is dangerously wrong 05:30 The 4 bottlenecks stopping us from reaching Super Intelligence 11:30 Where will the actual value accrue in an AI-dominated world? 12:00 Why Europe is building a "Sovereign Stack" to escape US dominance 15:00 Inside the brutal early days of Anthropic and the 21 VCs who said "No" 19:30 Why the most successful AI startups are ditching the "Profit-First" motive 34:30 The 1885 Industrial Revolution: Why we have a "GPU Wastage" bubble 38:00 Is the CCP actually winning the full-stack AI systems race? 43:30 Monopoly Mafias: Will model providers eventually kill the App Layer?

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