The Magnificent Seven, that now-familiar cluster of Apple, Microsoft, Nvidia, Amazon, Alphabet, Meta, and Tesla, delivered 21-22% earnings-per-share growth in recent quarters. That figure dwarfs what the rest of the S&P 500 managed. The engine behind it all: artificial intelligence, and specifically, the insatiable corporate appetite for the infrastructure to run it.
Nvidia leads, but the bill is coming due
Nvidia remains the clearest beneficiary of the AI gold rush. The chipmaker posted revenue growth exceeding 114% in fiscal year 2025, powered almost entirely by demand for its AI processors.
The hyperscalers, Microsoft, Amazon, Alphabet, and Meta, all reported strong top-line growth as well. Cloud computing divisions are expanding, AI product integrations are multiplying, and enterprise customers are lining up to pay for generative AI tools.
Capital expenditures across the major hyperscalers are projected to reach hundreds of billions of dollars annually, all directed at AI infrastructure and data centers. Microsoft and Amazon have both signaled that AI-related revenue is ramping, but the payback period on data center buildouts stretches years into the future.
Dispersion is the new concentration risk
Dispersion among the seven stocks’ earnings growth recently exceeded 50%. The gap between the best and worst performers in this group has gotten enormous. Nvidia posting triple-digit revenue growth while other members face decelerating momentum creates a very different investment thesis depending on which ticker you own.
Analysts are flagging a potential moderation in growth rates for some of these companies by 2026.
What this means for investors
The Magnificent Seven’s outsized contribution to S&P 500 EPS growth means passive index investors are, whether they realize it or not, making a massive bet on AI monetization.
According to LSEG data, earnings growth for the Magnificent Seven is projected to stabilize heading into 2027, still outpacing the broader S&P 500 but at a notably slower clip than the recent blistering pace.
The widening dispersion in performance suggests that investors will increasingly need to evaluate each company on its own merits: its specific AI strategy, its capital allocation discipline, and its ability to convert spending into durable cash flows.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

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