Stock markets dropped on June 26 over worries that companies might be spending too much on artificial intelligence without proof it will pay off. Lower fuel prices briefly offered some support, but couldn't reverse the slide. The Wall Street Journal covered the move.

The timing was awkward. NVIDIA, the company that makes the chips powering AI systems, reported staggering growth: revenue hit $75.2 billion in its latest quarter, up 92% from a year earlier, per the company's May 2026 earnings release. That isn't a sign of weakness. But here's what worried investors: the big tech companies and data-center operators buying these chips are spending money at a breakneck pace based on the assumption that AI will quickly become profitable. So far, that hasn't happened. The market is asking: can this spending continue without customers actually making money from AI?

The Bigger Economic Picture

Federal Reserve researchers watch AI spending closely because it ripples through the entire economy. A February 2026 Fed report found that all this AI investment has boosted international trade since early 2025. That matters because trade was already under pressure from tariffs. If AI spending slows down, that trade boost disappears — which could hurt the economy in unexpected ways.

There's also the competition factor. China committed roughly $138 billion over 20 years to AI development through state-backed funding announced in March 2025, according to Fed researchers. That's patient money controlled by the government, very different from U.S. tech companies that need to show profits every three months to keep investors happy.

What Regulators Are Watching

Government regulators are paying close attention. The SEC held a meeting on March 6, 2025, specifically about how companies disclose AI's risks and impact to investors. The message was clear: companies aren't telling investors enough about the real costs and benefits of AI. As rules get tighter, companies will have to explain their AI spending more carefully — and that could reveal how optimistic some of their claims have been.

Banks and financial institutions are also using AI, often for behind-the-scenes work like updating old computer systems — unglamorous stuff, but necessary. Fed officials have made clear they understand AI can help banks run better, but they're watching carefully to make sure it doesn't create new risks.

What the Numbers Actually Tell Us

NVIDIA's growth is staggering. Six months before that $75.2 billion quarterly number, the company reported revenue of $760 million, reported in November 2025. The jump from roughly $700 million to $75 billion in half a year shows how fast AI chip demand has exploded.

But demand for chips is one thing. Returns on the money spent are another. Companies buying these expensive chips need them to help generate profits. The market is essentially saying: show us the money. Lower fuel costs help data centers save on electricity and other expenses, but savings aren't the same as new revenue. That's a real distinction. Cheaper power doesn't tell you whether this explosion in AI spending is sustainable or whether we're heading toward a slowdown.

The answers will come from how fast companies actually adopt AI tools, how much tech companies plan to spend in the coming quarters, and what regulators require companies to disclose about AI. None of that will happen overnight.