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The AI Trade Cracks: Nasdaq’s Worst Week Since June and the Debt Behind It

The trade that carried markets all year is cracking. The Nasdaq fell 2.15 per cent on Friday to close at 26,140.03, sealing its worst week since June —…

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Stock ticker display at the Tokyo Stock Exchange
Source: Wikimedia Commons - File:Market centre in Tokyo stock exchange.jpg, CC BY 2.0

The trade that carried markets all year is cracking. The Nasdaq fell 2.15 per cent on Friday to close at 26,140.03, sealing its worst week since June — and this time the selloff has an address: the mountain of debt funding the artificial-intelligence boom.

The S&P 500 dropped 1.09 per cent and the Dow 0.34 per cent, but the damage centred on chips and AI-linked giants. Semiconductor stocks are on an eight-day losing streak, their longest since 2008, as investors question whether the AI buildout can survive its own financing costs, according to Reuters’ market coverage via NewsNation.

The debt behind the drama

CoreWeave — the cloud provider at the centre of the AI infrastructure trade — lost a quarter of its value this week as its $51 billion debt pile sent bond yields toward 15 per cent. The fear is not about demand for AI computing, which remains strong, but about what happens when the money funding it gets dramatically more expensive.

The tremor is reaching far beyond one stock: Anthropic is courting investors ahead of a blockbuster IPO into a market suddenly sceptical of AI valuations, even as inflation runs hot at the wholesale level.

What it means

For investors, the week is a stress test of the market’s central bet: that AI spending justifies any price. The VIX fear gauge closed above 22 — elevated but not panicked — and the Nasdaq remains up roughly 17 per cent on the year. Context matters: this is a correction inside a bull market, not a bear market — yet.

The question for the weeks ahead is whether the bond market’s verdict sticks. Credit investors demanding 15 per cent from AI’s poster child are pricing real distress; equity investors still pricing perfection cannot both be right. One of them is about to learn something.

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