we stock Ratings have reached their highest levels in more than a century, surpassing both peaks Dot-com bubble In 2000 and the market conditions that preceded Great Depression In 1929.
The result is based on a Bloomberg Evaluation composite Which combines trailing and forward price-to-earnings ratios, Shiller CAPE ratio, price-to-book, price-to-sales, EV/EBITDA, Q-ratio, and market cap-to-GDP.
The index has now surpassed previous peaks recorded before the 1929 crash and the 2000 tech bubble, sparking debate about a potential stock market correction.
The milestone comes as US stocks continue to rise in 2026, driven largely by… artificial intelligenceRelated stocks and strong earnings growth among a small group of huge technology companies.
As of press time, Standard & Poor’s 500 It traded at 7,511, up nearly 10% year-to-date.
According to Bloomberg Tracker, which measures the average percentile ranking of several key valuation metrics across market history, the latest reading puts the US stock market at an all-time high valuation level.
The Shiller CAPE ratio remains close to 40, a level previously only seen during major market bubbles, including the technology boom of the late 1990s.
On the other hand, the Buffett Index, which measures the total value of the stock market relative to US GDP, has risen above 230%, a level widely viewed as historically overvalued.
AI shares lead stock market rally
The rise in valuations was driven by optimism in AI, with its heft investment in data centers, semiconductors, cloud computing and other AI infrastructure, boosting earnings expectations. Slowing inflation and supportive monetary policy expectations also helped maintain demand for US stocks.
Meanwhile, several Wall Street firms raised their year-end targets on the S&P 500, citing AI-driven productivity gains and resilient corporate profits.
However, the market dependence on a small group of technology Stocks have heightened concerns that any slowdown in AI-related growth could trigger a broader sell-off.
The extreme valuation backdrop has prompted warnings of a stock market crash from some analysts, who argue that high multiples leave little room for disappointment.
Historically, periods of exceptionally high valuations have often been followed by weaker long-term returns and, in some cases, sharp corrections. Risks cited by bears include slowing economic growth, weak earnings, fatigue from AI spending, geopolitical tensions, and shifts in monetary policy.
Although deflation is not inevitable, comparisons with 1929 and the dot-com bubble of 2000 point to the unprecedented scale of extreme valuations today.
