Alphabet’s investment in artificial intelligence is changing a familiar corporate calculation: how much capital should a technology company return to shareholders, and how much should it commit to building the infrastructure that might define its next phase of growth? The tension sits at the center of Google’s expanding ambitions. AI requires more than sophisticated models and compelling software demonstrations. It demands computing capacity, specialized chips, data center space, cooling systems, networking equipment and reliable access to electricity. These physical requirements turn an otherwise abstract technology race into a capital-intensive business with consequences for every other financial priority.