Partly. The core technical insight is right, and the rest is a mix of genuine foresight and convenient salesmanship.
What I’d agree with: the claim that the durable advantage is the learning loop, not the model, is correct and underrated. Models are commoditizing fast — whatever’s frontier today is table stakes in 18 months. Proprietary feedback loops, private evals, and accumulated traces of how your people actually solve your problems don’t commoditize the same way. The “can you swap the generalist model and keep the company veteran” test is a genuinely sharp way to think about lock-in and ownership. As someone building on Azure, you’d feel this directly: the moat isn’t which LLM you call, it’s the eval suite and data flywheel wrapped around it.
Where I’m skeptical: the piece asserts that human capital only becomes more valuable, never less, and treats “without human direction, compute runs in circles” as a permanent law. That’s true at today’s capability level, but the essay quietly assumes it stays true forever — which is exactly the thing in question. There’s also an unacknowledged tension: he wants human judgment to become “replicable and scalable” inside systems and to stay irreplaceable. But making judgment replicable is precisely the mechanism that commoditizes it. You can’t fully have both.
And the political-economy bit — “society won’t tolerate a few models eating everything” — is hope dressed up as prediction. His own example undercuts it: globalization did hollow out manufacturing towns, and it wasn’t prevented by being intolerable. Saying “let’s not repeat that” isn’t an argument that we won’t.
The thing worth noticing: this reads like it was written by someone whose company sells the infrastructure for building “token capital.” The framing — own your loop, don’t cede value to a few models, build on a platform that lets value accrue on top — happens to perfectly justify buying that platform. Doesn’t make it wrong, but it’s a pitch, not a neutral analysis.
Net: I’d take the build-the-loop advice seriously and treat the optimism about humans staying in the driver’s seat as the part to stress-test, not assume.
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