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On 2026-06-23 Chamath warned a historic liquidity wave as SpaceX, OpenAI, and…

2026-06-23 · 17:52 UTC ·@chamath ·1 min read

Brief

Chamath (All-In Podcast, 2026-06-23) argues a historic liquidity wave from imminent IPOs and lockup expirations at SpaceX, OpenAI, and Anthropic will redeploy capital into AI's physical substrate — power, memory, copper, and specialized silicon. He claims models will commoditize, compute/energy stay scarce, and outlines six themes including a barbell liquidity view, shifting public/private trends, a US–China moat question, and human judgment as a scarce edge.

Why it matters

On 2026-06-23 Chamath warned a historic liquidity wave as SpaceX, OpenAI, and Anthropic prepare to go public and lockups expire; he projects those three companies alone will exceed the entire prior decade of venture exits combined.

Key details

  • Chamath says incoming capital will target the physical substrate of AI — specifically power, memory, copper, and specialized silicon — because "AI is a power problem" and compute scarcity will persist even as models commoditize.
  • He summarized six themes: (1) the liquidity wave & a "barbell" strategy, (2) AI as a power problem, (3) models will commoditize while compute won't, (4) shifting public vs. private market trends, (5) whether the US can build a China-resistant moat, and (6) human judgment as a scarce edge.
Source evidence

Notes from liquidity:

The All-In Podcast (@theallinpod)

Chamath’s Liquidity takeaways and reflections:

The state of private and public markets is changing. In recent decades, companies have stayed private longer while competitive advantage deepens with scale. Now, some of the most valuable private companies in the world are preparing to go public at unprecedented valuations just a few years after being founded.

A historic liquidity wave is arriving as SpaceX, OpenAI, and Anthropic prepare to go public and lockups expire. These three companies alone are projected to exceed the entire prior decade of venture exits combined.

That capital will go somewhere, and right now the focus is on the physical substrate of AI. Power, memory, copper, and specialized silicon are the current key components. The AI model layer itself is competitive, and the frontier labs are searching for profit pools in application layers. Six themes carried across the room.

1/ The liquidity wave & the barbell
2/ AI is a power problem
3/ Models commoditize, compute doesn't
4/ Public vs. private trends are shifting
5/ Can the US build a moat China can't cross?
6/ One scarce edge is human judgment

Full breakdown of each theme, along with Chamath's takeaways from each speaker, here: liquidity.socialcapital.com

— https://nitter.net/theallinpod/status/2069115833557635582#m