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AI's Expensive Growth Story Meets Investors' Actual Arithmetic

US technology stocks fell sharply as investors weighed the cost of artificial intelligence development against its potential returns. The Nasdaq opened at its lowest level in more than two months, and Intel shares continued to fall, according to the BBC. The selling came as AI spending approached $1 trillion, a scale that has made the relationship between investment and eventual revenue a central market question. Companies are committing large sums to the infrastructure and technology needed to build and run AI systems. Investors must assess not only what those systems might do, but when the money spent on them might produce an adequate return. That calculation is less glamorous than a product demonstration, but it becomes hard to avoid when the sums are this large. An impressive technology can still raise difficult questions about pricing, competition and the cost of building it. Falling shares show investors reassessing those prospects, not a final verdict on the technology itself. For executives, spending can signal that a company intends to compete. For shareholders, the same figure is also a bill that needs a business case. The industry has become very good at making AI sound like the future. The market would like a somewhat clearer idea of which future quarter pays for it.

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