What a slower AI buildout may mean for markets

A slower AI infrastructure buildout could extend the investment cycle while easing pressure on interest rates, valuations and corporate cash flow.

• Voters considered 41 data center-related ballot measures across 10 US states in the 2026 midterms and backed restrictions or rejected development-friendly proposals in virtually all of them.
• After the midterm response, the S&P 500 fell 4.4% on Thursday, its 43rd worst day in nearly 60 years, while Nvidia dropped more than 9%, AMD more than 17% and the Philadelphia Semiconductor Index roughly 12%.
• The author argues that technology valuations had already compressed during 2026 as earnings growth outpaced stock-price gains, which limits the case for treating the selloff as the end of a speculative bubble.
• Slower construction could impose greater discipline on capital expenditure, favor hyperscalers such as Alphabet, Amazon, Meta and Microsoft, and reduce pressure on free cash flow by reinforcing the advantages of companies with existing compute capacity.
• Moderating AI infrastructure investment could slow economic growth, push the 10-year US Treasury rate lower and reduce pressure on the Federal Reserve to raise rates further, while AI demand, adoption and technological progress continue.
• Projects may shift toward receptive states, communities and federal lands, with incentives from investment, jobs and tax revenue preserving the economic case for data center construction.

Takeaway: The near-term setup favors defensive equities and higher-quality bonds, while the AI investment cycle may be elongated rather than ended; the author also sees reasonable valuations, greater corporate fiscal discipline and a potentially more accommodative Fed supporting the next 12 months.