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After the AI Crash

What's this about?

A bear-case essay imagining what the AI ecosystem looks like after the current investment boom unwinds — which companies and habits survive a crash.

What exactly is "the AI crash" thesis?

The argument that today's spending (data centers, circular investment deals, sky-high valuations) outruns real revenue, so a correction is coming — the debate is how hard and who's left standing, not usually whether AI is useful.

What's the community saying?

HN 113 pts, 191 comments
  1. Sharp split between "overdue reality check" and "doomer fatigue."
  2. Focus on the circular financing between chipmakers, clouds, and labs as the fragile link.
  3. Which uses survive a downturn because they pay for themselves versus which are subsidized.
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