AI Chip Stocks Drove 26 Points of S&P 500 Gains Over 22 Months
Updated
Updated · 24/7 Wall St. · May 25
AI Chip Stocks Drove 26 Points of S&P 500 Gains Over 22 Months
10 articles · Updated · 24/7 Wall St. · May 25
Removing AI chip and infrastructure names from the S&P 500 cuts its roughly 22-month return to 16% from about 42%, showing how much recent gains depended on a narrow group of stocks.
NVIDIA, Microsoft and Broadcom explain much of that concentration: they make up 8%, 5% and 3% of the S&P 500, while NVIDIA alone is 10% of the QQQ.
NVIDIA anchors the trade with a $5.22 trillion market value and Q1 FY2027 revenue of $81.6 billion, up 85%, but it also carries $119 billion in supply commitments and excludes China data-center compute revenue from Q2 guidance.
Valuations across the cohort remain stretched—AMD trades at 67 times forward earnings, Broadcom targets $100 billion in AI revenue by 2027, and Palantir sits at 154 times trailing earnings.
The concentration risk stands out more with the 10-year Treasury yield near 5%, the VIX at 16.76 and University of Michigan consumer sentiment at 49.8, pushing retirement investors to reassess passive index exposure.
The S&P 500's gains hinge on a few AI giants. Is the rest of the market facing a silent recession?
NVIDIA's stock soars despite zero China revenue and bearish signals. What fundamental risk is the market ignoring?
As AI models become commodities, who will capture the real value: infrastructure providers or application developers?
The Great Narrowing: How AI Mega-Caps Are Reshaping the S&P 500 and Exposing Investors to Concentration Risk (2024–2026)
Overview
From July 2024 to May 2026, the AI market soared, reshaping the S&P 500 as a handful of semiconductor and software leaders drove most index gains. This surge created immense wealth but also made investors more vulnerable, as market concentration increased and passive portfolios became highly exposed to a few mega-cap stocks. Companies like NVIDIA, AMD, and Broadcom led the charge, while massive investments and infrastructure demands strained resources and raised new risks. As AI disrupts traditional sectors and faces macroeconomic pressures, investors are urged to diversify and actively manage portfolios to navigate both the opportunities and vulnerabilities of this concentrated growth.