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Paul Kedrosky

Paul Kedrosky

@paul-kedrosky · 12 positions · On ppll ↗

Venture investor and writer; publishes on risk, complexity, finance, technology and economic history at paulkedrosky.com.

Paul Kedrosky did not write this page.

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  1. infrastructure

    The harder question is what revenue that spending implies, because the math is backwards, with revenue uncertain, but capex increasingly locked in.

    ↗How Much Revenue Must AI Deliver?paulkedrosky.com

  2. 1 day earlier
  3. These are all explosively larger markets when software begins acting rather than merely answering. Agents change what software companies can sell, and the plumbing beneath it.

    ↗Roundup: Cheap Thought, Costly Consequencespaulkedrosky.com 1st of 3 in this piece

  4. infrastructure

    Scarcity has exited cognition toward everything required to apply it: proprietary data, trusted access, physical infrastructure, distribution, and, yes, the scarcest resource of all, managerial competence.

    ↗Roundup: Cheap Thought, Costly Consequencespaulkedrosky.com 2nd of 3 in this piece

  5. Falling AI costs strengthen the returns to ownership while weakening the bargaining position of replaceable labor.

    ↗Roundup: Cheap Thought, Costly Consequencespaulkedrosky.com 3rd of 3 in this piece

  6. 13 days earlier
  7. Index performance, retirement assets, corporate investment, and the wealth effect are becoming increasingly dependent on one interconnected technology trade.

    ↗Roundup: Capital, Confidence, and Contagionpaulkedrosky.com 1st of 3 in this piece

  8. AnthropicOpenAIinvesting

    institutional investors are reserving capital, managing exposure, and waiting for the two transactions that will define the AI market. The capital market effect is to suppress everything else.

    ↗The Glacial Lake Outburst Problem in AI IPOspaulkedrosky.com 1st of 2 in this piece

  9. investing

    Bankers (and journalists) interpret the slowdown as deteriorating sentiment. Both are wrong.

    ↗The Glacial Lake Outburst Problem in AI IPOspaulkedrosky.com 2nd of 2 in this piece

  10. infrastructure

    The AI buildout is no longer being financed from cash flow alone: its capital requirements are beginning to reshape the investment-grade debt market.

    ↗Roundup: Capital, Confidence, and Contagionpaulkedrosky.com 2nd of 3 in this piece

  11. The remaining efficiency gap is now small enough that longer autonomous work becomes an engineering and deployment question, not a distant theoretical one.

    ↗Roundup: Capital, Confidence, and Contagionpaulkedrosky.com 3rd of 3 in this piece

  12. 3 days earlier
  13. infrastructure

    AI infrastructure spending is now large enough to alter the composition of US trade and national investment data.

    ↗Roundup: Capex, Trade, Risk, Climate, Call Centers, Concentration, etc.paulkedrosky.com 1st of 3 in this piece

  14. AI and jobs

    This is one of the clearest large-scale signs so far of AI replacing routine white-collar service work, and given regional dependencies-within the US and around the world-highly consequential.

    ↗Roundup: Capex, Trade, Risk, Climate, Call Centers, Concentration, etc.paulkedrosky.com 2nd of 3 in this piece

  15. The claims are absurd, but the cultural shift is real: AI risk is no longer a specialist concern.

    ↗Roundup: Capex, Trade, Risk, Climate, Call Centers, Concentration, etc.paulkedrosky.com 3rd of 3 in this piece