Brookfield Estimates $7 Trillion Needed for Global AI Infrastructure
Brookfield Asset Management estimates $7 trillion in capital is required for AI growth, while analysts warn of a massive revenue gap and a potential economic bubble.
Investment firm Brookfield Asset Management estimates that approximately $7 trillion in global capital is required over the next decade to support artificial intelligence growth. Chief Financial Officer Hadley Peer Marshall stated this investment, roughly a quarter of the U.S. GDP, would include $4 trillion for computing infrastructure and $2 trillion for AI factories, ultimately generating $10 trillion in annual productivity.
This massive spending is driven by U.S. tech giants, including Meta Platforms Incorporated, Google, and Amazon.com. Mark Zuckerberg indicated a preference for overspending on AI rather than risking a late entry into the expansion. Infrastructure spending is projected to reach $400 billion this year, with U.S. capital expenditures expected to exceed $500 billion in 2026 and 2027.
However, analysts warn the sector may be entering a bubble. Bain & Company reported that $2 trillion in new revenue is needed to justify current scaling trends, warning of a potential $800 billion revenue shortfall by 2030. Paul Kedrosky noted that data-center spending likely accounted for half of GDP growth in the first half of the year, potentially starving other sectors like domestic manufacturing of investment. Further concerns include the rise of high-valuation startups like Thinking Machines, which raised $2 billion without a product, and local opposition to data center expansion in Northern Virginia due to noise and land use.
