The AI buildout is estimated to require $10.3 trillion in infrastructure investment by 2032. This scale of investment significantly surpasses historical booms like railroads and highways. The immense cost means large tech companies cannot finance it alone, necessitating substantial outside capital. This demand for funds will strain bond markets, banks, and private credit, potentially increasing borrowing costs for everyone. Even with higher interest rates, the AI industry's drive to build remains strong. This massive capital absorption creates competition for funds, impacting government deficits and individual loans. Experts note the industry's resilience to rate hikes, driven by a strong commitment to development. Big Tech alone needs trillions, with a significant portion expected from external investors. Companies like Meta are already financing major projects through outside capital, accepting higher borrowing costs. This influx of external funds, particularly from private credit, enables scaling but disperses financial risks. Such risks are spreading through pension funds and sovereign wealth funds, increasing financial system complexity and opacity. There's a potential for oversupply to emerge similar to real estate cycles, as buildout might outpace actual demand. Ultimately, the AI investment boom is a significant economic force, driving growth but also pressuring capital markets and the financial system.