Why an AI Bubble Could Reach Your Savings

When the dot-com bubble burst in 2000, Amazon’s stock eventually lost roughly 90 percent of its value.

Amazon didn’t disappear. Quite the opposite. It survived, grew, and became one of the world’s largest companies.

That history offers an important lesson for investors today: A company can have a great future and still have a stock price that falls dramatically when investors have paid too much for that future.

That possibility is becoming part of the debate surrounding artificial intelligence.

Billions of dollars are pouring into AI chips, massive data centers, and the electricity and infrastructure needed to run them. Companies including Amazon, Microsoft, Google’s parent company Alphabet, Meta and Nvidia are at the center of the boom.

Unlike many companies swept up in the dot-com frenzy, these are not speculative startups with little revenue. They are some of the largest and most profitable corporations in the world.

But that doesn’t mean their stocks can’t become too expensive.

A financial bubble develops when enthusiasm pushes an investment’s price far beyond what its underlying business can reasonably justify. Eventually, expectations change, investors reconsider what they are willing to pay, and prices can fall sharply.

Two things make the current AI boom especially important to ordinary investors.

The first is the enormous amount of money involved.

The biggest technology companies are pouring hundreds of billions of dollars into AI infrastructure, particularly data centers, computer chips and power. As those investments grow, companies are also increasingly turning to debt markets to help finance them.

That raises the stakes. Investors are betting not merely that AI will become important—it almost certainly already is—but that it will eventually produce enough additional profit to justify today’s extraordinary spending.

The second issue may matter even more for people who have never bought an individual technology stock.

America’s biggest technology companies have become such a large portion of the S&P 500 that millions of retirement savers automatically own substantial pieces of them through index funds, mutual funds, and workplace retirement plans.

That is one unusual feature of this boom.

Someone might believe they have taken the conservative route by simply buying a broad S&P 500 index fund. But because the index is weighted by company size, its largest technology companies can have an outsized effect on the investment as a whole.

That doesn’t mean an AI crash is inevitable. Nor does it mean companies such as Amazon, Microsoft, Meta or Nvidia must fail for investors to lose money.

The dot-com era demonstrated exactly the opposite.

Amazon survived and ultimately prospered. Investors who bought its stock near the peak, however, still watched its value collapse before the company eventually recovered.

That is the distinction worth remembering.

The question isn’t simply whether artificial intelligence will succeed. It is whether investors have already priced so much future success into today’s stocks that even very good results might not be good enough.

And because a handful of technology giants now carry so much weight in the broader stock market, that question reaches far beyond Wall Street traders chasing the latest technology.

It reaches directly into millions of ordinary retirement accounts.

The boring index fund may still be boring.

But these days, it has a surprising number of chips sitting on the AI table.