Wall Street expects US artificial intelligence spending to top $1T

U.S. infrastructure spending on artificial intelligence (AI) is predicted to exceed $1 trillion by 2027, primarily driven by private sector investment, with Goldman Sachs estimating up to $1.4 trillion by that year.
JPMorgan has revised its global cumulative AI capital expenditure forecast through 2030 to $5.5 trillion, a $400 billion increase from its previous June 2026 outlook.
This spending surge, dominated by major tech firms like Microsoft, Amazon, Google, and Meta, is set to reshape global competition, especially in advanced chip manufacturing and data center real estate.
The AI infrastructure buildout is heavily concentrated in the U.S., where entities plan to account for 80% to 85% of all global data center capital expenditures, with significant investments in chips and data centers.
The projected U.S. investment outpaces international competitors, notably Chinese hyperscalers like Alibaba and Tencent, which plan to invest $84 billion in AI infrastructure in the upcoming year, roughly one-tenth of U.S. spending for the same period.

You may have missed