Inside Google’s massive AI capex (live)

Catalyst · 23 Apr 2026 · 35m

What this episode covers

Amin Vahdat, Google’s chief technologist for AI infrastructure, explains how Google is shifting from training to inference, enabling smaller, distributed data centers and lowering reliability requirements to double compute capacity. He details Google's strategy of using behind-the-meter power as a bridge to grid interconnection and their milestone agreement with utilities for one gigawatt of demand response. Vahdat emphasizes that co-optimizing chip design, building cooling, and power generation creates superefficient 'AI factories,' while identifying power, chips, and construction as simultaneous rate limiters for growth.

Other shows on the same ground, closest first.

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