When the AI bubble bursts, what will Australia do with the tools it built? One man thinks he has the answer

by | Jul 27, 2026 | Technology

When the AI bubble bursts, what will Australia do with the tools it built? One man thinks he has the answer

Cory Doctorow, a science fiction author and journalist, has predicted that the artificial intelligence sector operates within an unsustainable bubble that will eventually collapse. Rather than questioning whether a bubble exists, Doctorow frames the relevant question as determining when it will burst. He attributes the sector’s current buoyancy to substantial capital investments from Gulf sovereign wealth funds and billionaires funding new data center infrastructure. Should these investments falter, the circular funding patterns between chip manufacturers, artificial intelligence companies, and technology firms utilizing AI could trigger a cascade of financial problems.

Doctorow identifies several potential triggering points for the bubble’s collapse. Major artificial intelligence firms including Anthropic and OpenAI have delayed public offerings and may face difficulty securing additional funding. According to Doctorow, structural weaknesses in the sector have existed from the beginning, describing the system as fundamentally brittle and troubled despite appearances of stability.

One significant consequence of the anticipated market correction concerns the labor market. Executives across industries were sold on AI’s capacity to replace workers at minimal cost, yet Doctorow warns that reestablishing lost expertise will prove extremely challenging. Workers who have been terminated, forced into early retirement, or retrained for other positions represent repositories of specialized knowledge about business operations that cannot be easily recovered or transferred.

Regarding copyright protections for creative workers, Doctorow expresses skepticism about recently announced Australian government initiatives. Prime Minister Anthony Albanese pledged to strengthen copyright laws requiring artificial intelligence companies to compensate creators whose work trains AI models. While noting this policy received creative sector support, Doctorow contends such measures will not adequately address underlying concerns. He argues that established media companies pushing for copyright enforcement have no record of fairly compensating creative professionals. Instead, Doctorow advocates for labor law protections giving workers authority over how artificial intelligence tools are deployed and who controls the resulting creative output.

Doctorow recommends governments avoid investing in artificial intelligence infrastructure at present. His strategy suggests waiting for market conditions to shift, then developing capabilities using open-source artificial intelligence models with available hardware and trained personnel. He characterizes the emerging landscape as producing useful tools for average users while acknowledging risks of accumulated technical debt from poorly conceived implementations in commercial environments.

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