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Financial markets show strain as AI enthusiasm wanes

Bond selloffs, falling currencies and concerns over AI spending are testing investors who relied on the sector’s optimism, with Nasdaq 100 losses and hyperscaler cash‑flow issues highlighting the pressure.
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Financial markets show strain as AI enthusiasm wanes

Global financial markets are feeling pressure from three simultaneous sources: bond selloffs, weakening currencies and growing doubts about returns from artificial‑intelligence (AI) investments. Reuters reported from London on November 3 that the AI trade, which had previously supported market sentiment, is now showing signs of strain.

Bond and currency markets under stress

Japanese and French government bonds have experienced selloffs, while emerging‑market currencies have declined sharply. French bond yields have risen to levels last seen during the 2012 euro‑zone debt crisis, and the U.S. 10‑year Treasury yield has hovered near 5%.

Equity market impact

In October, the Nasdaq 100 lost more than $2 trillion in market value as concerns about AI spending grew. Intel’s shares fell 28.6% on October 30 after the company reported significant AI‑related cash burn.

Hyperscaler cash‑flow pressures

Three of the four major hyperscalers—Amazon, Meta and Alphabet—reported negative free cash flow for the most recent quarter. Amazon’s shortfall alone approached $35 billion.

IMF warnings on AI‑linked financing

The International Monetary Fund noted that AI‑driven selloffs could affect vulnerable economies with limited fiscal tools. Since 2024, hyperscalers’ share of global investment‑grade bond issuance has risen from under 1% to 10%. The IMF also highlighted $300 billion in equity deals and $650 billion in debt tied to weaker AI firms.

Implications for investors

The concentration of AI‑related stocks in major indices means that setbacks in the sector can drag broader market performance, as seen in the Nasdaq 100’s October decline. With hyperscalers now a notable component of investment‑grade bond markets, stress in AI could raise borrowing costs for tech companies and tighten financing conditions for smaller AI firms.

Key indicators to monitor include hyperscaler free‑cash‑flow guidance, tech bond issuance trends, sovereign yield movements and the performance of emerging‑market currencies.

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