Executive Summary 2025 marked a historic acceleration  in AI-driven data center investment, with hyperscalers committing unprecedented capital to compute, land, and power. AI compute demand reshaped capital markets , supply chains, and semiconductor economics, concentrating value in GPUs, advanced nodes, and energy infrastructure. Power availability—not chips—emerged as the primary constraint , redefining site selection and project timelines. 2026 will remain a growth year ,

When a power system fails during a natural disaster, there is no luxury of long planning cycles, regulatory indecision, or theoretical optimization. Hospitals need electricity. Communications must come back online. Water systems, logistics hubs, and emergency command centers cannot wait for utility upgrades or multiyear grid studies. In those moments, power is deployed the only way that matters: fast, reliable, and sufficient to meet real demand. What is becoming increasingly

There is a habit, common in fast-moving industries, of mistaking the most visible problem for the most important one. In artificial intelligence, that habit has taken the form of an obsession with chips. We speak of shortages, races, allocations, and breakthroughs, as if the future of AI were decided solely by silicon. It is not. Artificial intelligence does not ultimately run on chips. It runs on power, land, and permission. And those are in far shorter supply. A recent anal

In the second quarter of 2025, the world’s leading AI companies poured over $100 billion  into data centers, compute infrastructure, and...