{"id":39414,"date":"2026-10-02T07:20:12","date_gmt":"2026-10-02T14:20:12","guid":{"rendered":"https:\/\/www.itmtrading.com\/blog\/?p=39414"},"modified":"2026-10-02T07:20:12","modified_gmt":"2026-10-02T14:20:12","slug":"dollar-collapse-ai-bubble-cyberattack","status":"publish","type":"post","link":"https:\/\/www.itmtrading.com\/blog\/dollar-collapse-ai-bubble-cyberattack\/","title":{"rendered":"The Dollar Is Toast (Why a Cyberattack Could Collapse the AI Trade)"},"content":{"rendered":"
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The Dollar Is Toast (Why a Cyberattack Could Collapse the AI Trade)<\/h1>\n

What happens to the U.S. dollar if the artificial intelligence boom suddenly unravels? According to macro strategist David Woo, an AI bubble collapse could trigger a chain reaction across stocks, Treasury yields, and the dollar itself. And the catalyst might not be disappointing earnings or another Federal Reserve decision. It could be a major cyberattack.<\/p>\n

In a conversation with Daniela Cambone, founder of David Woo Unbound David Woo warned that investors may be overlooking vulnerabilities beneath the AI investment boom.<\/p>\n

His central argument? The United States has become increasingly dependent on AI-driven investment, foreign capital, and expectations of extraordinary future profits. If those expectations collapse, the consequences could extend far beyond Silicon Valley.<\/p>\n

For Americans approaching or already in retirement, the question is whether portfolios built around conventional financial assets are adequately prepared for that possibility.<\/p>\n

The AI Bubble Is Attracting Enormous Amounts of Foreign Capital<\/h2>\n

Wall Street’s enthusiasm for artificial intelligence has produced an extraordinary investment cycle.<\/p>\n

Companies are committing enormous sums to data centers, semiconductor infrastructure, and computing capacity in anticipation of future AI demand.<\/p>\n

According to Reuters, Goldman Sachs estimates that U.S. hyperscalers could invest as much as $1.1 trillion in 2027.<\/p>\n

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But spending money isn’t the same as earning a return.<\/p>\n

David Woo argues that the expectation of substantial AI profits has helped attract foreign investment into American equities, increasing the connection between technology valuations and demand for U.S. financial assets.<\/p>\n

Recent capital-flow data illustrate the scale of that demand.<\/p>\n

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Foreign U.S. equity inflows<\/p>\n

$426B<\/h1>\n

Second quarter of 2026<\/p><\/div>\n<\/div>\n

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Annual increase<\/p>\n

62%<\/h1>\n

Versus second quarter of 2025<\/p><\/div>\n<\/div>\n<\/div>\n

Figures reported by the Financial Times, based on U.S. investment-flow data.<\/p><\/div>\n

Meanwhile, the Bureau of Economic Analysis reported that America’s current-account deficit widened to $246 billion in the second quarter of 2026. Its net international investment position stood at negative $22.42 trillion.<\/p>\n

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These figures don’t establish that an AI correction would collapse the dollar. They do, however, underscore America’s substantial financial relationships with foreign investors.<\/p>\n

The vulnerability Woo identifies is straightforward: if investors begin questioning future AI profits, they could reconsider how much capital they want invested in U.S. markets.<\/p>\n

That matters because the consequences would not necessarily remain confined to technology stocks.<\/p>\n

The Profitability Problem Behind the AI Bubble<\/h2>\n

Artificial intelligence may transform the economy. But will the companies financing that transformation earn enough to justify their spending?<\/p>\n

Woo distinguishes between AI’s technological potential and the economics of the businesses developing it.<\/p>\n

He questions whether the industry’s expected returns are realistic, particularly as Chinese competitors develop increasingly capable, lower-cost models.<\/p>\n

In the interview, Woo references a Morgan Stanley projection of 25%\u201350% returns on AI capital expenditure by 2030. He argues that achieving those returns could require extraordinary operating-cost reductions, potentially including major labor displacement.<\/p>\n

Those figures are presented as Woo’s interpretation of an investment forecast, not established outcomes.<\/p>\n

The underlying profitability question is supported by broader industry concerns.<\/p>\n

A July 2026 Reuters analysis found that major technology companies’ AI investment plans were placing growing pressure on free cash flow. Based on analyst estimates, combined capital spending by five major U.S. technology companies could exceed their free cash flow by 2027.<\/p>\n

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The risks include:<\/p>\n