Sep 10, 2026 · 57 min
Doctorow argues AI’s investment boom rests on a fragile narrative
We must pop the AI bubble sooner rather than later | Cory Doctorow
The episode separates useful statistical tools from an expensive growth story that could reshape labor, markets, and corporate power after the bubble breaks.
- 1AI’s promise to replace human labor helps sustain investment even when the technology cannot deliver its grandest claims.
- 2Purpose-built statistical and symbolic systems often outperform large language models for practical tasks, despite the boom’s broader branding.
- 3A market collapse may end the frenzy while leaving firms with stronger tools for surveillance, manipulation, and extraction.
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Doctorow uses the Concorde as an analogy for subsidized AI services, showing how distorted markets can crowd out more durable alternatives.
The brief
Cory Doctorow and Isaac Pound distinguish AI as a technology from AI as a cultural and financial narrative, arguing that labor-replacement promises attract capital and reflect a dehumanizing view of work.
Doctorow challenges claims that current systems will become godlike or civilization-ending, while allowing that genuinely conscious machines could theoretically be built from matter.
Railway mania and the dot-com crash provide the episode’s economic frame: companies can sustain enormous spending by inventing markets and persuading investors that growth is inevitable.
The “reverse centaur” describes workers doing the grunt work while algorithms appear to control the process, shifting automation’s costs onto labor and weakening workplace power.
The sharpest distinction comes between useful statistical inference and wasteful LLM applications, with chess illustrating why purpose-built systems can beat general-purpose language models.
Doctorow argues that AI may be the final stage of “inshittification”: a new growth story that also enables surveillance, manipulation, and price extraction after older markets stall.
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