Larry Fink says AI infrastructure could become a trillion-dollar asset class
Updated
Updated · 24/7 Wall St. · May 9
Larry Fink says AI infrastructure could become a trillion-dollar asset class
13 articles · Updated · 24/7 Wall St. · May 9
Fink said shortages in compute, chips, memory and electricity could lead to “futures on compute” contracts for GPU-hours, cloud capacity and data-centre power.
Goldman Sachs estimates global AI infrastructure spending could approach $1tn in coming years, while Microsoft, Amazon, Alphabet and Meta may spend more than $710bn this year.
The idea reflects AI’s shift from software story to infrastructure and energy story, as data centres could consume 8% of US electricity by 2030, boosting chipmakers, utilities and data-centre owners.
Could a new tech breakthrough render today's trillion-dollar AI infrastructure obsolete?
As AI's thirst for power grows, who will bear the environmental and economic costs?
Is 'digital oil' a stable new commodity or a speculative bubble on a fragile power grid?
From Data Centers to Digital Oil: The Trillion-Dollar Race for AI Compute Futures
Overview
Global finance and technology are being transformed by the soaring demand for artificial intelligence infrastructure. Leaders like BlackRock’s Larry Fink argue this is not an AI bubble, but a fundamental re-evaluation of economic assets. Major investors see AI infrastructure as a long-term opportunity, expecting strong returns over decades. As computing power becomes a new trillion-dollar asset class, it is reshaping capital markets. This shift is driven by the belief that owning and controlling AI infrastructure will be as valuable as traditional assets, marking a new era where technology and finance are deeply intertwined.