A draft internal U.S. Treasury report obtained by NOTUS warned that an artificial intelligence bust could spread well beyond technology stocks, raising pressure across banks, chipmakers, clou
A draft internal U.S. Treasury report obtained by NOTUS warned that an artificial intelligence bust could spread well beyond technology stocks, raising pressure across banks, chipmakers, cloud providers, data centers and private credit markets.
The document compares today’s AI boom with the dot-com cycle, but its risk map is broader than the late-1990s internet trade. The draft points to a more deeply embedded AI industry, where the same investment theme runs through public equities, corporate balance sheets, lending markets, power demand, data-center construction and private financing.
The warning lands while Washington’s public posture on AI remains strongly supportive. Treasury’s AI Innovation Series framed AI adoption as part of the strength and resilience of the U.S. financial system, with officials highlighting productivity, cybersecurity, fraud prevention and financial-sector competitiveness.
The draft’s central concern is not only that AI stocks could fall. It is that the AI buildout has become a cross-market funding cycle, with hyperscalers, chip suppliers, utilities, data-center developers, private lenders and equity investors all tied to the same growth assumptions.
That makes the dot-com comparison less direct but more dangerous in some areas. Many of today’s AI leaders have real revenue, cash flow and enterprise demand, unlike the weakest internet names of 2000. The stress point is the scale of spending, the speed of valuation expansion and the risk that infrastructure investment outruns profitable adoption.
That risk has already entered crypto-market positioning. Arthur Hayes warned that an AI bubble burst could hit Bitcoin first because investors under pressure would initially sell liquid assets for cash before any later policy response restores risk appetite.
U.S. equity concentration has also become part of the same debate. The market has already reached an almost-bubble zone around AI-led mega-cap dominance, where index performance depends heavily on a narrow group of technology and semiconductor leaders.
The Treasury draft places private credit and infrastructure financing closer to the center of AI risk. Data centers require heavy upfront capital, long power commitments, chip supply, land, grid access and cloud demand that must eventually convert into durable revenue.
A downturn would not have to start with a single failed AI company. Falling valuations could pressure equity collateral, slow new debt issuance, weaken private-market marks and hit lenders exposed to data-center or AI-linked financing. Chipmakers and cloud providers would also face the risk of delayed orders if customers cut spending or investors stop rewarding aggressive capital expenditure.
The concern is already visible in AI valuation headlines. Anthropic’s reported $350 billion valuation added to fears that private AI pricing is moving faster than proven monetization, even as major technology firms continue to pour money into model development and compute capacity.
Treasury’s draft does not frame an AI bust as inevitable. It warns that the industry’s reach across public markets, credit, banking, data centers, cloud infrastructure and semiconductor supply chains could make any sharp reversal broader than the dot-com crash investors usually use as the template.
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