There’s a stock market gauge that famed investor Warren Buffett once called “probably the best single measure of where valuations stand at any given moment.” Recently, it sat higher than at any point in records going back more than half a century.
The measure is simple: the total value of the U.S. stock market divided by the size of the economy, as measured by gross domestic product. It recently climbed past 230%, meaning American stocks are worth about 2.3 times the country’s annual economic output. That’s a record. For perspective, the same gauge peaked near 140% just before the dot-com bubble burst in 2000.
Warren Buffett himself flagged the risk years ago. When the ratio “approaches 200%,” he wrote in a 2001 Fortune essay, “you are playing with fire.”
But the market left that mark behind long ago.
So what does history say comes next? And how much of the danger is a genuinely overpriced market versus a handful of enormous artificial intelligence (AI) stocks pulling the average higher?
Warren Buffett. Image source: The Motley Fool.
Expensive by almost any measure
The Buffett indicator isn’t the only gauge pointing this way. The Shiller cyclically adjusted price-to-earnings ratio, which compares prices to 10 years of inflation-adjusted earnings to smooth out the booms and busts, sits around 41. That’s the highest it has been since the 2000 dot-com peak, when it briefly topped 44.
Put those two readings together, and today’s market ranks among the most expensive in U.S. history by either gauge. That doesn’t guarantee a decline is near. But it does mean anyone buying the broad market today is paying an unusually steep price for each dollar of underlying earnings.
Today’s Change
(2.90%) $5.65
Current Price
$200.62
Key Data Points
Market Cap
$4.7T
Day’s Range
$195.12 – $200.62
52wk Range
$151.49 – $236.54
Volume
4M
Avg Vol
160.7M
Gross Margin
74.15%
Dividend Yield
0.14%
How much is just a few AI stocks?
A lot of how worried you should be comes down to a single word: concentration. The 10 largest companies in the S&P 500 (^GSPC +0.87%) now make up roughly 35% of the entire index, not far from the record of about 41% set in 2025, and well above the roughly 20% they represented a decade ago.
AI has certainly been a catalyst for some of them. Nvidia, of course, has been a major beneficiary of AI. And Alphabet‘s soaring stock price over the last 12 months has also been driven by AI.
Whatever the catalyst for this group’s strong performance, the biggest companies in the S&P 500 index have been massive drivers for the overall market. In 2025, those 10 names accounted for about 41% of the index’s value but only about 32% of its earnings.
Investors, in other words, are paying the steepest premiums for the very stocks driving the market’s record valuation.
Part of the reason the Buffett indicator looks so extreme, therefore, is that a small cluster of megacaps has grown to gigantic proportions. But it would be a mistake to dismiss the whole reading as a top-heavy quirk. The Shiller ratio measures the S&P 500, and it’s near a record, too.
So, what comes next? History offers a caution rather than a countdown. The last time valuations looked like this, in March 2000, the S&P 500 went on to fall about 49% over the following two and a half years and didn’t reclaim its high until 2007. But the same gauge that looks so stretched today has been elevated for years while stocks kept climbing, which is exactly why it works poorly as a market-timing tool.
While there’s no way to predict the future, I feel comfortable saying this: A rich starting valuation likely tells you a lot more about the next decade of returns and almost nothing about the next quarter.
What should investors do?
I think keeping expectations modest makes sense, and refraining from investing in stocks that look blatantly overvalued could be wise. What am I personally doing? In addition to remaining invested in equities, I’m holding onto some cash as I wait for more attractive opportunities.
What would change my mind? If valuations cooled off in a meaningful way, or if those megacaps’ earnings caught up to their prices, I’d be glad to put that cash to work.
