Overview

Google’s $185 billion AI infrastructure spending initially shocked Wall Street, but the market is realizing this might not be enough. The narrative has shifted from “AI bubble” to “we’re underbuilt” as AI agents prove they can restructure entire industries while consuming compute at unprecedented scales.

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Key Takeaways

  • Taste becomes exponentially valuable when AI can generate infinite competent output - the ability to distinguish between technically correct and strategically right separates humans from agents
  • Domain-specific judgment trumps general intelligence - contextual understanding of how industries actually work, accumulated through years of experience, cannot be replicated by training data alone
  • Infrastructure inversions create winner-take-all moments - companies that build platforms during the narrow window (now compressed to 18 months) capture economics for decades while late adopters pay rent
  • Honest inventory of your skills is crucial - identify which parts of your work require taste and judgment versus execution, then reallocate time before the market forces the decision
  • The pace is accelerating, not stabilizing - waiting for AI to settle down is the same bet as companies who waited for cloud computing to prove itself in 2008

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