Experts say market conditions bear a striking resemblance to the ‘dot com’ era before the crash in 2000, but with a few differences.
As artificial intelligence (AI) investment ramps up, some analysts are now drawing comparisons to the early “dot com” days of the internet and the market crash that followed.
It’s a deja vu moment for Wall Street: A revolutionary technology captures the imagination while capital floods in and valuations begin to put a high price on promises of a future that hasn’t arrived.
Now, as AI spending accelerates and a handful of mega companies dominate returns, financial industry insiders are asking whether the AI boom has crossed the line into market bubble territory—when the price of an asset exceeds its actual value.
Industries that have the most to gain—and lose—are reporting record earnings on AI. The top five companies on the S&P 500 are tech giants that are heavily invested in AI. Moreover, in the fourth quarter of 2024, 241 companies on the S&P 500 cited AI as part of their earnings—the highest number in a 10-year period, according to FactSet.
Investment experts say this is a potential problem: How much of these reported returns belong to AI and how much is bundled in with other earnings?
“Right now, stories about the future promise of AI are pushing stock prices higher. When those stories turn into earnings disappointments, prices will fall,” Paul Walker, author and owner of Fil Financial Corporation, told The Epoch Times.
“What most investors don’t realize is just how concentrated the market has become. The so-called magnificent seven have driven roughly 60 percent or more of recent gains in the S&P 500 and Russell 1000,” he said.
“In other words, people are far less diversified than they think. When those stocks stumble, panic spreads quickly, as investors dump index funds that are loaded with the same tech giants.”
The “magnificent seven” companies include Alphabet, Amazon, Apple, Meta Platforms, Microsoft, Nvidia, and Tesla.
Some analysts believe the AI bubble will continue growing in 2026. Investing.com reported Capital Economics analyst Jonas Goltermann’s theory that the environment surrounding AI “now has many of the hallmarks of a bubble,” and includes “hyperbolic beliefs about AI’s potential within the industry and among investors.”
A recent J.P. Morgan analysis noted the majority of market bubbles follow a pattern and often begin with an “investor thesis” that the world is undergoing major changes.
“Believers build capacity to meet future demand. The bubble begins to form in part because credit is widely available. Decaying underwriting standards and increasing leverage cause a disconnect between economic fundamentals and market valuations. More and more investors join the crowd—until fundamentals finally prevail and the bubble bursts,” the analysis stated.
