BlackRock’s Larry Fink Says AI Is Creating a New Trillion Dollar Asset Class — And Trump’s Policies May Accelerate It

BlackRock CEO Larry Fink recently argued that artificial intelligence is poised to generate a new trillion-dollar asset class centered on AI infrastructure. He highlighted growing shortages in compute power, chips, memory, and electricity as companies like Nvidia, AMD, and cloud providers race to build larger AI systems. Fink proposed that these shortages could lead to financialized contracts—such as 'futures on compute'—allowing businesses to hedge future access to AI processing power, similar to how oil futures work. The demand for AI infrastructure is surging, with Goldman Sachs estimating global spending could reach $1 trillion over the next few years. Hyperscalers like Microsoft, Amazon, Alphabet, and Meta are investing over $710 billion in capital expenditures this year, much of it tied to AI data centers and semiconductor manufacturing. These investments are driving U.S. infrastructure spending in semiconductors, power generation, and domestic data-center construction. Fink’s concept revolves around turning compute into a tradable commodity, with contracts for GPU-hours, AI inference capacity, or reserved cloud processing. This would mirror existing futures markets for oil, natural gas, and electricity, where companies lock in prices to manage costs. Nvidia CEO Jensen Huang has already noted pricing power rising as AI demand grows, suggesting such financial instruments could become a reality. The idea aligns with President Donald Trump’s push for domestic AI infrastructure investment, including manufacturing and energy production, to strengthen the U.S. position in global technology. If realized, AI compute futures could reshape capital markets by creating a new asset class tied to the physical infrastructure powering AI systems. Analysts suggest this could further amplify Wall Street’s role in financing AI’s expansion, much like it did with energy markets.