The author argues that the potential for an AI bubble to burst is a basic math problem, where billions are being invested in the infrastructure to develop AI and billions are spent on the use of AI. This is due to a significant increase in investments in AI technology, with four tech companies, Amazon, Apple, and Microsoft planning to invest $670 billion on AI infrastructure this year alone. The public investment is being funded by Big Tech companies, using capital from equity investments, issuing record levels of corporate bonds, and leveraging private credit, junk bonds, structured finance, asset-backed securities. The author points out that if AI is widely adopted and transformative for society, it could crash the economy. They also point out that there are risks associated with financial engineering, which obscure a full understanding of systemic risks. The authors urge policymakers to learn three lessons from previous crises, including a commitment to bailing out of capital but focusing on helping ordinary people.