Finance

Nasdaq plunge revives fears that AI spending is outrunning returns

A nearly 3 percent Nasdaq drop and a 28 percent Intel slide put the cost of the AI buildout back in front of investors.

Nasdaq plunge revives fears that AI spending is outrunning returns
AI illustration · Morning News Watch

More than $1 trillion in market value disappeared Friday as investors looked at the artificial-intelligence spending boom and asked the inconvenient question: when does this start paying for itself?

The Nasdaq fell nearly 3 percent, according to Reuters, in a broad technology selloff after earnings from Amazon and Intel highlighted the scale of investment going into AI systems, chips and infrastructure. The issue was not that companies have stopped spending. It was that investors are less certain about the returns waiting on the other side of all that spending.

The number that matters: Intel shares fell 28 percent after its earnings report, Reuters reported. That is a sharp response to one company, but the decline spread through technology and chip stocks. NBC News put the broader loss of market value at more than $1 trillion. Wall Street can tolerate a big bill when the payoff looks clear. It gets twitchier when the bill arrives before the business case does.

Why this hit now: Amazon and Intel gave investors a close look at companies making huge AI-related investments while facing uncertainty over how quickly those investments will generate adequate returns. AI has become the central spending priority for many of the market's biggest companies. That makes it more than a niche technology story. If the spending does not translate into growth fast enough, the stocks carrying much of the market's enthusiasm have a problem.

The bubble question: MarketWatch compared Friday's Nasdaq slide with conditions near the peak of the dot-com bubble in 2000. That is a comparison, not proof that an AI bubble has burst. Reuters and NBC News reported investor concern over spending and returns, but neither concluded that the AI trade is finished. The strange part is that the same spending once treated as evidence of confidence is now being examined as a cost.

The thing to watch is whether the next round of earnings gives investors clearer evidence that AI spending is producing revenue, rather than simply producing larger capital-expenditure totals.

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