The $10 trillion question: Financing the AI buildout
brookings.edu Oct 8, 2026

The $10 trillion question: Financing the AI buildout

AI-summarised brief · reviewed before publication

A new Brookings Papers on Economic Activity (BPEA) study estimates that the United States will invest $10.3 trillion in artificial‑intelligence infrastructure between 2025 and 2032. The spending, which averages 3.63 % of annual U.S. GDP, dwarfs historic capital‑intensive booms in railroads, highways and telecommunications. The paper emphasizes that AI’s growth is not purely software‑driven; it requires massive construction of data centers, expansion of power grids and production of specialized chips. In a Brookings Podcast episode, co‑host Jan Eberly and economist Jón Steinsson interview the study’s author, Stijn Van Nieuwerburgh, about the implications for financial transparency, regulatory oversight and systemic risk as the sector scales. The discussion highlights how the unprecedented capital outlay could reshape macroeconomic dynamics and policy priorities.

💡 Why It Matters

  • · The scale of AI‑related capital spending creates a new class of infrastructure risk that regulators and investors have never managed before.