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

by | Jul 31, 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 outlined concerns about the sustainability of the artificial intelligence sector in his upcoming book. Rather than questioning whether an AI bubble exists, Doctorow frames the issue as a matter of timing for when such a bubble will inevitably collapse. He attributes the current market elevation to substantial investments from Gulf sovereign wealth funds and billionaires into data center infrastructure, suggesting that disruptions to these funding sources could trigger broader market instability.

Doctorow identifies several potential catalysts for a market downturn, including the circular investment patterns between chip manufacturers, AI companies, and technology firms utilizing AI systems. Additionally, delays in initial public offerings by major AI companies such as Anthropic and OpenAI, coupled with funding challenges, could accelerate a correction. He characterizes the current AI infrastructure as inherently fragile and suggests that retrospective analysis will reveal vulnerabilities that seem obvious only after the bubble has burst.

A significant concern Doctorow raises involves the workforce implications of aggressive AI adoption. Executives who dismissed employees in favor of AI systems will discover that rebuilding lost expertise and institutional knowledge proves extraordinarily difficult. Workers who were terminated, encouraged into early retirement, or retrained for different roles represent irreplaceable repositories of business process understanding that cannot be easily reconstructed.

On the question of copyright protections for creative workers, Doctorow expresses skepticism about this approach as a comprehensive solution. While Australian Prime Minister Anthony Albanese recently announced plans for strengthened copyright laws requiring AI companies to pay for training on creative content, Doctorow contends that such measures primarily benefit large media corporations rather than individual creative professionals. He advocates instead for labor law protections that ensure workers maintain rights over both the terms of AI use and their creative output.

Doctorow recommends that governments avoid substantial AI investments at present and instead position themselves to adopt open-source AI models once market conditions shift. He suggests that the eventual availability of surplus hardware and trained personnel, combined with improved open-source alternatives, will provide governments and individuals with practical tools without requiring immediate capital commitment to a potentially unstable sector.

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