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Earlier this month Stripe agreed to acquire OpenRouter for $7.5B.
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Last week Google beat out Mercor in acquiring a complete operational dataset from Spirit Airlines, reportedly including internal document, email, workflow and codebase for $10mm.
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Motivation Link to heading An AI provider does not merely sell an answer.
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Summary: Lab margins and value participation fall out of the distribution of task complexity, but these present conflicting incentives for the labs. ⚠️ Fair warning this blog is more technical – feel free to copy as markdown to a LM.
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Clay Christensen has two theories of disruption.
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Judging by the last few months of AI-econ discourse, apparently the firm is dead.
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This technology cycle has been particularly interested in economist Ronald Coase.
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Judging by public markets, the future of software looks bleak.
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Summary: Agents earn not from routing but from capturing inefficiencies at the edge––creating new supply, capturing latent context, or productizing uncertainty buffers.
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Summary: For labs to capture durable value, the world has to be meta-surprising.
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Summary: Software modularized nouns; AI modularizes verbs, migrating profit from enabling middleware to asset owners bearing structurally non-deferrable liability.
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Summary: AI commoditizes intelligence, forcing profits to migrate to asset-heavy Cybernetic Rollups that own context at the edge.
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We shut down Crosshatch.
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💡 Knowledge and action are the central relations between mind and world. -– Timothy Williamson “Programmability is eating the world.” declared USV’s Nikhil Raman.
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Silicon Valley will not stop talking about outcome-based pricing.
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SaaS and vertical AI are getting squeezed.
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The diffusion of AI into the economy is too slow and too concentrated.
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In Friedrich Hayek’s cornerstone “The Use of Knowledge in Society” he introduces the “man on the spot.”
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Introduction Link to heading High-intelligence applications make dumb businesses.
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Agentic commerce is a mirage.
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The worst software businesses are smart.
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This piece was originally published on Medium.