How data center developers are powering AI

Demand for power has never been higher—nor supply more constrained. Here’s how data center developers are getting the watts they need.

Massive data center demand is driving huge new power requirements

Exponential growth in demand for data center capacity continues to accelerate— the U.S. colocation data center market doubled in size from 2020 to 2024, and that doesn’t account for all the capacity brought online by hyperscalers themselves. AI could drive demand even faster; Dell CEO Michael Dell predicts that AI will drive a 100x increase in data center demand over the next 10 years.

Demand is rising so much faster than supply that vacancy rates in major data center markets are at their lowest levels ever—below 3% nationwide.

As we’ve written before, the primary task of a data center is to securely house, power, and cool the IT equipment on which virtually every aspect of modern life depends. Challenges abound: land is constrained in some markets, and data center operators are having to adopt new cooling strategies to support AI. But power is the predominant gating factor in data center developers’ ability to support growing demand.

Conclusion: Investor considerations

Data center developers face a ‘perfect storm’: massive (and accelerating) demand for data center capacity, driving unprecedented rates of demand for power, in an environment in which getting power to the data center takes twice as long as before. Not all developers are equally well-equipped to navigate these challenges. For investors, realizing the full return potential requires a keen understanding of which developers are poised to be able to deliver more data center capacity, more quickly than others.

The data center industry is experiencing explosive demand growth driven by the expanding need for power and structural shifts in how data centers are located.

For more of our thoughts on how AI is powering data center developers, read our full perspective

AUTHORS’ NOTE: In the short time between when we wrote this paper and its publication, the Chinese AI company DeepSeek released a report claiming that its AI model uses 10-40 times less energy than similar U.S. AI technology. Greater energy efficiency is a good thing, of course. But it’s not likely to eliminate massive new power requirements, just as virtualization—which dramatically improved servers’ computational efficiency—didn’t alter data centers’ growth trajectory. U.S. companies are not likely to use DeepSeek’s models, but if they replicate its more efficient training approach, that may well spur even greater levels of AI adoption that continue to drive data centers’ growing power requirements.

Contact our sales team: Stef Bogaars (bogaars.stef@principal.com) or Britt Laeven (laeven.britt@principal.com)

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