AI Stocks Now Make Up 49% of the S&P 500, Raising Historical Bubble Concerns

Chart illustrating Coin Bureau's comparison of AI-related stocks accounting for 49% of the S&P 500 with historical stock market bubbles.

Artificial intelligence-related stocks now account for 49% of the S&P 500, according to a comparison highlighted by Coin Bureau, placing the concentration above that of several major historical stock market bubbles. The figure is based on 41 stocks that JPMorgan classifies as AI-related, raising questions about the extent to which the current market is concentrated in a single investment theme.

Coin Bureau compared the current share of AI-related stocks with five of the largest stock market bubbles in history. According to the comparison, every one of those historical episodes ended in a crash or recession. The only episode with a higher concentration than today's AI-related stocks was the railroad boom of the 1880s.

Historical Bubbles Offer a Warning

The comparison highlights how major investment themes have previously attracted substantial capital before market conditions deteriorated. Although the historical episodes differed in their underlying industries and economic finance circumstances, Coin Bureau's figures show that concentrated market enthusiasm has often preceded significant financial setbacks.

The railroad boom of 1881 is the closest historical comparison cited in the post. Railroads represented 63% of the market measure used in Coin Bureau's comparison, exceeding the current 49% concentration of AI-related stocks. The episode was followed by the US Depression of 1882 to 1885, according to the post.

The comparison also includes the Roaring Twenties, when the market concentration figure reached 36% in 1929. The subsequent collapse was severe: the Dow Jones Industrial Average fell 89% by 1932 and took 25 years to recover, Coin Bureau reported.

The Nifty Fifty and the 1970s Market Decline

Another example is the Nifty Fifty, a group of popular growth stocks that became prominent during the early 1970s. Coin Bureau's comparison places the concentration associated with the episode at 40% in 1972.

The period ended with a substantial market decline. The S&P 500 fell 48% during 1973 and 1974, according to the figures cited in the post. The example illustrates the potential consequences of sharp corrections following periods when investors heavily favor a relatively narrow group of stocks.

AI's Growing Weight in the S&P 500

The current comparison centers on 41 companies that JPMorgan classifies as AI-related. Together, those stocks account for 49% of the S&P 500, a concentration that Coin Bureau says exceeds the levels associated with the Roaring Twenties and the Nifty Fifty, as well as the other historical bubbles included in its comparison, with the exception of the 1880s railroad boom.

The figure does not, by itself, establish that AI stocks are in a bubble or that a markets crash is imminent. Historical comparisons can identify similarities in market concentration, but they do not establish that different investment cycles will produce identical outcomes. The post also does not provide a forecast for when or whether a correction might occur.

Coin Bureau's central point is the scale of AI-related stocks within the benchmark index. At 49% of the S&P 500, the 41 stocks identified by JPMorgan represent a substantial share of the market measure, while the historical examples cited in the post show that previous periods of concentrated investment enthusiasm were followed by significant economic or market downturns.

Writer: Victoria Hale
Technology & Blockchain Writer

Victoria Hale writes about blockchain technology, digital infrastructure, and the intersection of emerging technologies with finance. Her articles explore how new protocols and systems are shaping the evolving digital economy.

She prioritises clarity and accuracy when explaining technical developments to a general audience.

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