By Nick Lichtenberg
Publication Date: 2025-12-23 14:05:00
While the world scrambles to adapt to the explosive demand for generative AI, Google Cloud CEO Thomas Kurian says his company isn’t reacting to a trend, but rather executing a strategy set in motion 10 years ago. In a recent panel for Fortune Brainstorm AI, Kurian detailed how Google anticipated the two biggest bottlenecks facing the industry today: the need for specialized silicon, and the looming scarcity of power.
According to Kurian, Google’s preparation began well before the current hype cycle. “We’ve worked on TPUs since 2014 … a long time before AI was fashionable,” Kurian said, referring to Google’s custom Tensor Processing Units. The decision to invest early was driven by a fundamental belief that chip architecture could be radically redesigned to accelerate machine learning.
The energy premonition
Perhaps more critical than the silicon itself was Google’s foresight regarding the physical constraints of computing. While much of the industry focused…