US corporates' AI investment boom heads toward $1 trillion by 2027
Updated
Updated · MarketWatch · May 8
US corporates' AI investment boom heads toward $1 trillion by 2027
14 articles · Updated · MarketWatch · May 8
Gavekal's Will Denyer said returns still exceed funding costs, with the Wicksellian spread at least 70 basis points above its 20-year median.
He said spending on computers, peripherals and data-centre gear is near dotcom-era highs, but much equipment is imported, boosting Asian tech suppliers more than direct US GDP.
Denyer said the boom still supports US stocks, productivity and power investment, though risks include oil-driven inflation, higher rates and electricity shortages; money-market cash, bank lending and government support could add funding.
Is the AI boom a true economic revolution or a financial bubble set to dwarf the dot-com crash?
As AI's power demand outpaces the grid, will an 'electron gap' choke America's technological ambitions?
Can U.S. tech giants designing their own chips break free from Asia's dominance in advanced hardware?
The $1 Trillion AI Capex Surge (2026–2027): Drivers, Risks, and Global Implications
Overview
In 2026, leading tech giants including Alphabet, Amazon, Microsoft, and Meta are driving a historic surge in AI infrastructure investment, with over $125 billion spent in Q1 alone and $725 billion planned for the year—a 77% increase from 2025 that accounts for more than 2% of U.S. GDP. This capex boom is fueled by explosive AI revenue growth and strong cloud commitments, but it is causing significant supply constraints, especially for AI chips, and straining power grids as data centers exceed 100 kW per rack. Regulatory responses and rising costs add pressure, while geopolitical tensions and sustainability challenges shape a complex global landscape. The outcome hinges on bridging the gap between massive spending and profitable AI returns amid these systemic risks.