Major technology companies are at the center of an unprecedented capital reallocation. Microsoft, Google, Amazon, and Meta are directing a significant portion of the substantial cash flows generated from their established businesses toward artificial intelligence infrastructure. Capital produced by mature business models—such as advertising, cloud computing, software, and e-commerce—is now being channeled into data centers, advanced chips, and large language models. Expectations for capital expenditures in 2026—approximately $220 billion for Amazon, $170 billion for Microsoft, and $135–145 billion for Meta—illustrate the scale of this transformation. However, not all of these expenditures are directly allocated to AI; companies aim not only to gain technological superiority but also to protect their existing markets from future disruption. Here lies a key economic paradox: today’s highly profitable companies are reducing—or even taking on debt to maintain—their free cash flows to preserve their future competitive edge. Thus, the AI race has become as much a test of financial resilience as it is of technological innovation. Moreover, the growth in investment volume does not guarantee a proportional increase in revenue. As computational capacity expands, competition may intensify, service prices could decline, and returns on capital may fall below expectations.