Crunchbase

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NBER Working Paper 2026-05-02-1

Generative AI and Entrepreneurship — Gupta/Qian/Simintzi/Sun (NBER, Apr 2026)

94,789 U.S. startups, sharp ChatGPT shock, clean diff-in-diff: fully exposed startups cut employment 7.5% within two quarters, driven entirely by separations, with displaced juniors taking six months to find lower-paying lower-exposure jobs and near-zero of them becoming founders. The mechanism isn't VC pressure or managerial skill — it's CS-degree founders cutting headcount four times harder than non-technical ones, which means founder technical capacity is now first-order in projecting how a firm restructures around AI. Aggregate employment is flat because new firm formation backfills the contraction, but composition shifts senior — the headline isn't "AI destroys jobs," it's "the apprenticeship system that turned juniors into seniors collapsed."

# tags

ai-labor-displacement ai-economics venture-capital saas-margins agentic-ai-viability workforce-bifurcation startup-labor-displacement ai-1.0-defensibility evaluation-infrastructure founder-technical-capacity spray-and-pray evalrig turanu nber

Colossus 2026-03-21-1

We Have Learned Nothing: The Red Queen Eats Startup Method

BLS survival data is flat over 30 years and Crunchbase seed-to-Series-A conversion is declining: Jerry Neumann's case that Lean Startup, Customer Development, and the rest of the New Punditry produced zero measurable improvement is empirically anchored. His prescription is a Red Queen meta-theory via Feyerabend: any method, once widely adopted, becomes self-defeating through competitive convergence, so the only science of entrepreneurship operates at the level of generating new methods, not prescribing them. The convergence argument is the strongest element; the data argument has an ecological fallacy problem (BLS counts restaurants alongside SaaS startups) and a missing counterfactual (flat survival might mean methods prevented a decline, which is the Red Queen working within punditry itself). The sharpest extension is to AI-native startups: if method convergence is the mechanism, AI collapses the cost of convergence to near-zero; everyone builds the same thing faster, differentiation half-life shrinks to weeks, and the Red Queen sprints where she once walked.

# tags

ai-1.0-defensibility competitive-dynamics startup-economics venture-capital