Former Facebook Chief Privacy Officer Chris Kelly said Monday that the next phase of the artificial intelligence boom will focus on becoming more efficient.
As major AI players race to churn out the infrastructure needed to support AI workloads, Kelly told CNBC’s “Squawk Box” that the industry will need to streamline these power-intensive buildouts.
“We run our brains on 20 watts. We don’t need gigawatt power centers to reason,” Kelly said. “I think that finding efficiency is going to be one of the key things that the big AI players look to.”
Kelly, who was also general counsel at Facebook, added that the companies able to reach a breakthrough in lowering data center costs will emerge as AI winners.
The data center market has accumulated over $61 billion in infrastructure dealmaking in 2025 as hyperscalers have rushed into a global construction craze, according to S&P Global.
OpenAI alone has made over $1.4 trillion in AI commitments over the next several years, including massive partnerships with GPU leader Nvidia and infrastructure giants Oracle and Coreweave.
But the data center frenzy has garnered growing concerns about where the power to support these buildouts is coming from, with an already strained electric grid.
Nvidia and OpenAI announced in September a project that included at least 10 gigawatts of data centers, which is roughly the equivalent of the annual power consumption of 8 million U.S. households.
Ten gigawatts is also around the same amount of power as New York City’s peak summer demand in 2024, according to the New York Independent System Operator.
Cost concerns were further fueled after DeepSeek launched a free, open-source large language model in December at the expense of under $6 million, the company claimed, significantly lower than U.S. competitors.
