The U.S. Senate Committee on Banking, Housing and Urban Affairs published prepared remarks by Ranking Member Senator Elizabeth Warren warning that a debt-driven boom in artificial intelligence investment could become a financial stability risk, drawing parallels to the 2008 financial crisis and arguing that Congress should put “simple structural reforms” in place ahead of any crash. Warren argued that AI firms are financing trillions of dollars of spending on data centres, chips, and other infrastructure with “staggering” borrowing, including via private credit funds and complex debt structures, while large banks provide financing directly and indirectly. She said the resulting interconnectedness and opacity could amplify losses if revenues fail to scale fast enough to service debt, pointing to estimates that the industry would need roughly USD 2 trillion in annual revenue by 2030 versus USD 20 billion generated in 2025, and citing analyst comparisons that the AI bubble is 17 times the size of the dot-com frenzy and four times the size of the housing bubble. The remarks also referenced prior calls for the Trump Administration to investigate AI debt-related financial and economic risks and set out a reform agenda including restoring structural financial guardrails, creating a new digital regulator for antitrust, consumer protection and data privacy enforcement, and establishing accountability to avoid future bailouts.