The analysis suggests hyperscalers are investing hundreds of billions in AI infrastructure to own the next computing platform, drawing parallels to Amazon's AWS and Google's search infrastructure buildouts. Lower inference costs are expected to expand the addressable market for AI agents, autonomous software, and scientific research, unlocking millions of new use cases.
Hyperscalers are prioritizing long-term strategic control of the AI economy's foundational infrastructure over immediate quarterly returns, driving sustained demand for compute, networking, and energy.