From:
Columbia Business School Professor Shivaram Rajgopal spoke with New York Times reporters Karen Weise and Eli Tan about how major technology companies are scrambling to manage—and in some cases avoid—bearing the enormous data and infrastructure costs associated with the rapid expansion of artificial intelligence. Rajgopal explained that investments in data centers, chips, and energy-intensive computing are reshaping balance sheets and raising new questions about capital allocation, debt, and long-term profitability. He noted that firms are increasingly experimenting with partnerships, off-balance-sheet arrangements, and revised disclosure practices as they seek to sustain AI growth without exposing themselves to excessive financial risk.
