Big Tech Stocks Were Expensive. Then the Market Turned on AI

(Bloomberg) — For most of the past decade, investors have had to pay exorbitant prices to own a piece of the world’s biggest technology companies. But that’s changing as AI euphoria gives way to skepticism. Big Tech stocks have been underperforming for months due to concerns about ballooning spending on artificial intelligence and a rotation…


Big Tech Stocks Were Expensive. Then the Market Turned on AI
Big Tech Stocks Were Expensive. Then the Market Turned on AI

For most of the past decade, investors have had to pay exorbitant prices to own a piece of the world’s biggest technology companies. But that’s changing as AI euphoria gives way to skepticism.

Big Tech stocks have been underperforming for months due to concerns about ballooning spending on artificial intelligence and a rotation into sectors that tend to do well in an expanding economy. An index of the so-called Magnificent Seven giants is down 6% since the end of October while the S&P 500 Index is basically flat. That’s a reversal from 2023 and 2024, when the Mag Seven tripled or quadrupled the S&P 500’s return.

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After the recent downturn, many of those tech behemoths are now trading at valuations rarely seen. Nvidia Corp. is priced at a little more than 21 times forward earnings, which is basically the same as the S&P 500 and down from its 10-year average of 35 times. Amazon.com Inc. shares are priced at 23 times forward earnings, half their average multiple over the past decade of 46. Excluding long-time outlier Tesla Inc., the group — which also includes Alphabet Inc., Apple Inc., Meta Platforms Inc. and Microsoft Corp. — trades for 23 times estimated profits, the cheapest since the tariff tantrum in April.

The shift has taken many investors by surprise following years in which the stocks traded at a significant premium to the S&P 500 thanks to rapid revenue growth, booming profits and dominant market positions. To some, however it’s a natural outgrowth of companies like Amazjsut on pumping ever-greater piles of cash into computing infrastructure to develop AI.

“It’s amazing the transformation we’ve seen in markets,” said Brett Ewing, chief market strategist at First Franklin Financial Services. “There’s been a complete repricing of the Mag 7 because they underwent a transformation from asset-light companies with massive cash flows, to companies that have been forced to move at an accelerated pace into becoming asset-heavy.”

Many of the characteristics that made the stocks so attractive, like profit growth, remain intact. Magnificent Seven earnings are expected to rise 19% in 2026, compared with 12% for the other 493 companies in the S&P 500, according to data compiled by Bloomberg Intelligence. But the group’s earnings expansion is slowing, in part because the hundreds of billions of dollars they’re spending on AI has saddled the companies’ balance sheets with loads of depreciating assets while sapping free cash flows.

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