Analysis: The AI investment bubble may be larger than dot-com, with taxpayers likely bearing the cost of a collapse
By
Joe Signorello
Summary
The article argues that the AI industry, specifically frontier-model companies like OpenAI and Anthropic, has created an economic bubble larger than the dot-com era in terms of capital expenditure as a share of GDP. The author contends that these companies have become "too big to fail," with bipartisan political support ensuring government bailouts if the bubble bursts. Unlike the dot-com crash where losses were privatized, the author warns that when this AI bubble collapses, losses will be socialized (taxpayers foot the bill) while executives and investors walk away wealthy. The piece highlights that hyperscalers are on track to spend ~$700 billion in 2026 alone, and that the political establishment in Washington uniformly supports propping up American AI regardless of party lines.
Source
Key quotes
· 4 pulledAnthropic and OpenAI have become too big to fail — and the Trump administration would bail them out in a heartbeat.
Strip away the theater and propping up American AI is one of the few things this town actually agrees on.
AI capex has already blown past dot-com-era highs as a share of GDP, the hyperscalers are on track to spend ~$700 billion in 2026 alone.
The frontier-model bubble is bigger than dot-com where it counts — and when it gives, the losses get socialized while the people who broke it get fuck-you rich.
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