
Scott Chronert of Citi says the label no longer describes where AI leadership actually is. In a note to clients this week, he argued the term has become “misleading” as the AI trade broadens beyond its original seven members.
Ten days ago, we showed you the same trend: five of the Magnificent Seven were lagging the S&P 500, while their valuation premium had fallen to its lowest level in a decade.
Chronert’s conclusion goes one step further.
The biggest AI winners may no longer all be in the original club.
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✱ Chronert is arguing that the Magnificent Seven have lost their monopoly.

He thinks that lens has become too narrow.
His argument is that some of the biggest earnings winners from AI aren’t in the original group at all.
Companies such as Broadcom, Micron, and AMD have become critical beneficiaries of the AI infrastructure buildout, making the old “Mag Seven vs. everyone else” framework increasingly misleading.
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Investors happily rewarded Big Tech for spending billions on AI. Now, they’re starting to ask for results.
→ AI capital spending is expected to surge roughly 70% to more than $700 billion in 2026, with much of that investment coming from the original Magnificent Seven.
✱ The downside? All that spending is squeezing free cash flow. Deutsche Bank strategist Jim Reid summed up the shift in sentiment: “There is growing apprehension regarding the capex spend by the largest hyperscalers.”
The scoreboard reflects that change.
✱ Only Alphabet has outperformed the S&P 500 this year, rising 11% versus the index’s 8.3% gain. The other six are all trailing.
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Reported July 16 — included as context for today’s story.
While the S&P 500 barely moved, investors were aggressively reshuffling their AI bets.

Behind the scenes, investors poured roughly $1.5 trillion into the Magnificent Seven while about $1.7 trillion disappeared from semiconductor stocks outside Nvidia. The offsetting moves left the major indexes looking calm—even as one of the biggest rotations of the year unfolded underneath.
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The selloff has been especially painful in memory chips—a theme we’ve been following all month through Micron, Samsung, and SK Hynix. After months of speculation, the group has slipped into a bear market as investors question whether AI demand can justify the sector’s lofty expectations.
Strategas ETF strategist Todd Sohn sees echoes of another market frenzy: “There’s some similarity between the ARKK rush in 2020 and the semiconductor and memory stock rush today.”
Trading volume in semiconductor ETFs has jumped from roughly $9 billion a day a year ago to more than $40 billion, while semiconductors have grown to nearly 18% of the S&P 500—a level Strategas describes as historically rare.
→ Microsoft – Shares remain about 25% below their peak as investors question whether AI spending is translating into profits quickly enough. The company is investing at an annualized pace of roughly $190 billion in AI infrastructure while AI-related revenue is estimated near $37 billion. Gaming has also softened, with Xbox revenue down 5% year over year, prompting approximately 4,800 layoffs and a restructuring of the gaming division.
→ Amazon – Revenue grew 17% year over year in the first quarter, while AWS expanded 28%. The company plans to spend roughly $200 billion on capital expenditures this year—about 60% more than last year. To help finance that investment, Amazon has raised $62 billion through bond offerings in 2026, while continuing to expand AWS through partnerships with Warner Bros. Discovery, Fox, and Southwest Airlines.
→ Alphabet – Alphabet shares are down roughly 12% since early May despite Google Services revenue increasing 16% year over year and Google Cloud revenue jumping 63%, more than doubling cloud operating income. With Android powering about 69% of the world’s smartphones, investors will be watching the company’s upcoming earnings report for clues on whether those fundamentals begin to outweigh recent market skepticism.
The Magnificent Seven was never meant to be permanent.
It was a shortcut for the market’s biggest growth story at the time. As AI investment spreads across more companies, that shortcut becomes less useful. The opportunity—and the risk—is no longer confined to seven stocks.
The next chapter of the AI trade may not need a new nickname. It may simply require a wider watchlist.
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