AI bubble – Market watchers are growing uneasy as the S&P 500 closes May at a record high, yet only 20 of the index’s 500 companies reach their own all-time highs—an unevenness some compare to the dot-com era.
For the third week in a row, the market kept pressing higher—while a nagging detail refused to go away.
The S&P 500 closed May on a record high, with semiconductors playing a major role. But only 20 of the 500 companies in the index managed to reach their own all-time highs. Analysts have been flagging that gap for about a year. and the warning has grown sharper as tech and mega-cap names surge to new valuations.
A big part of the momentum is coming from a small cluster of growth stocks often grouped under the “Magnificent Seven.” That list includes Alphabet. Amazon. Apple. Meta Platforms. Microsoft. Nvidia. and Tesla. The market run has pushed historic valuations. with the tech boom now featuring $1 trillion valuations for companies tied closely to AI and advanced computing.
The concentration shows up in the numbers. In 2018, only Apple had hit the $1 trillion mark. Now, the group collectively has market caps of about $35 trillion. The broader roster of names often cited alongside this surge extends beyond the Magnificent Seven to include SK Hynix. Micron. Samsung. Berkshire Hathaway. Meta. Tesla. Saudi Aramco. Broadcom. TSMC. Amazon. Alphabet. Microsoft. and Nvidia.
That uneven breadth is where comparisons to the dot-com bubble start to feel less theoretical.
The dot-com bubble, as described in widely used retrospectives, was defined by a rapid rise in U.S. technology stock values in the late 1990s. The driver was heavy investment in internet-based startups that often had little to no profits. Those companies raised significant money to take their firms public—and the Nasdaq ultimately surged, five-fold—before the bubble burst. After the collapse, the market fell by nearly 77% by October 2002. Many companies went bankrupt, and a mass exodus hit Silicon Valley.
Today. some investors see a familiar setup: artificial intelligence startups like Anthropic and OpenAI raising billions ahead of upcoming IPOs. alongside tech companies spending unprecedented sums to build massive AI data centers. The spending figure cited for 2026 is $700 billion, on its own a benchmark that underscores how aggressively capital is being deployed.
And the labor story is also striking in its timing. Like more than 25 years ago, tech workers are losing jobs through rolling layoffs, with Silicon Valley seeing another reported exodus.
The tension is hard to ignore: the market is setting records at the index level, but the gains appear to be carried by a narrower slice of companies—just 20 reaching their own all-time highs—while the broader economy of tech employment still looks like it’s tightening.
Still, there is a note of caution against assuming the worst is already written. Some analysts argue the bubble—if that’s the right label for what’s happening—may not be over yet.
AI bubble S&P 500 Magnificent Seven dot-com bubble semiconductors market concentration Anthropic OpenAI data centers layoffs
So basically S&P is at the top but only like 20 companies peaked? Sounds fake to me.
I don’t trust “AI bubble” talk, feels like clickbait every time. My cousin said it’s just normal growth and the Magnificent Seven can’t all drop at once.
Wait, if only 20/500 hit all-time highs then why is the S&P at a record? Shouldn’t the index be based on those 20 only? Also semiconductors are doing the heavy lifting, but I thought Tesla was the main AI guy? Confusing.
Dot-com vibes already?? But back then it was “internet” and people were hyped, now it’s AI and everyone’s pretending they understand valuations. They said the group is like $35 trillion and somehow that’s good while the other companies are lagging. Makes me think it’s gonna be another rug pull but then again it keeps going up so what do I know.