AI's Real Bottleneck: Power, Not Chips

What happened

As AI companies race to build massive data centers, electricity has emerged as the scarcest resource. McKinsey estimates AI-related infrastructure spending could exceed $5 trillion（約800兆円） by 2030, while utilities across North America and Europe are receiving requests for hundreds of megawatts from individual AI campuses. Microsoft, Google, Amazon, Meta, Oracle, and OpenAI are now pursuing long-term power arrangements and dedicated generation assets to secure electricity. Bitzero (NASDAQ: AIBZ), which controls a development pipeline exceeding one gigawatt of potential capacity, positioned itself ahead of this scramble by securing low-cost electricity and grid access years ago.

Why it matters

For the past three years, investor focus has centered on chips, models, and software. But electrical demand now poses a hard physical constraint on AI expansion. Many utilities face multi-year waits for interconnection studies and transmission upgrades before data centers can even operate. For businesses dependent on AI infrastructure—or energy providers—this shift from chip scarcity to power scarcity represents a fundamental change in how AI expansion will be funded and constrained.

What to watch

JLL projects developers may require roughly 100 gigawatts of new data-center capacity over the next several years through 2030. Companies that secured power agreements early, like Bitzero, now hold a strategic advantage over those still waiting in interconnection queues.