Phantom knowledge facilities: What they’re (or aren’t) and why they’re hampering the true promise of AI

Within the age of AI, public utilities are actually going through a brand new, surprising drawback: Phantom knowledge facilities. On the floor, it might appear absurd: Why (and the way) would anybody fabricate one thing as complicated as a knowledge heart? However as AI demand skyrockets together with the necessity for extra compute energy, hypothesis round knowledge heart improvement is creating chaos, significantly in areas like Northern Virginia, the info heart capital of the world. On this evolving panorama, utilities are being bombarded with energy requests from actual property builders who might or might not really construct the infrastructure they declare.

Faux knowledge facilities symbolize an pressing bottleneck in scaling knowledge infrastructure to maintain up with compute demand. This rising phenomenon is stopping capital from flowing the place it really must. Any enterprise that may assist resolve this drawback — maybe leveraging AI to resolve an issue created by AI — could have a major edge.

The mirage of gigawatt calls for

Dominion Vitality, Northern Virginia’s largest utility, has obtained combination requests for 50 gigawatts of energy from knowledge heart initiatives. That’s extra energy than Iceland consumes in a yr. 

However many of those requests are both speculative or outright false. Builders are eyeing potential websites and staking their claims to energy capability lengthy earlier than they’ve the capital or any technique round how you can break floor. The truth is, estimates recommend that as a lot as 90% of those requests are solely bogus.

Within the early days of the info heart growth, utilities by no means needed to fear about faux demand. Firms like Amazon, Google and Microsoft — dubbed “hyperscalers” as a result of they function knowledge facilities with tons of of 1000’s of servers — submitted simple energy requests, and utilities merely delivered. However now, the frenzy to safe energy capability has led to an inflow of requests from lesser-known builders or speculators with doubtful observe information. Utilities, which historically cope with solely a handful of power-hungry clients, are all of the sudden swamped with orders for energy capability that may dwarf their whole grid.

Utilities wrestle to kind truth from fiction

The problem for utilities isn’t simply technical — it’s existential. They’re tasked with figuring out what’s actual and what’s not. And so they’re not well-equipped to deal with this. Traditionally, utilities have been slow-moving, risk-averse establishments. Now they’re being requested to vet speculators, a lot of whom are merely enjoying the true property sport, hoping to flip their energy allotments as soon as the market heats up.

Utilities have teams tasked with financial improvement, however these groups aren’t used to coping with dozens of speculative requests directly. It’s akin to a land rush, the place solely a fraction of these claiming stakes really plan to construct one thing tangible. The end result? Paralysis. Utilities hesitate to allocate energy once they don’t know which initiatives will materialize, slowing down your complete improvement cycle.

A wall of capital

There’s no scarcity of capital flowing into the info heart area, however that abundance is a part of the issue. When capital is simple to entry, it results in hypothesis. In a method, that is just like the higher mousetrap drawback: Too many gamers chasing an oversupplied market. This inflow of speculators creates indecision not simply inside utilities but additionally in native communities, which should determine whether or not to grant permits for land use and infrastructure improvement.

Including to the complexity is that knowledge facilities aren’t only for AI. Certain, AI is driving a surge in demand, however there’s additionally a persistent want for cloud computing. Builders are constructing knowledge facilities to accommodate each, however differentiating between the 2 is more and more troublesome, particularly when initiatives mix AI hype with conventional cloud infrastructure.

What’s actual?

The professional gamers — the aforementioned Apples, Googles and Microsofts — are constructing real knowledge facilities, and plenty of are adopting methods like “behind-the-meter” offers with renewable power suppliers or developing microgrids to keep away from the bottlenecks of grid interconnection. However as actual initiatives proliferate, so too do the faux ones. Builders with little expertise within the area try to money in, resulting in an more and more chaotic atmosphere for utilities.

The issue isn’t simply monetary danger — though the capital required to construct a single gigawatt-scale campus can simply exceed a number of billion {dollars} — it’s the sheer complexity of creating infrastructure at this scale. A 6-gigawatt campus sounds spectacular, however the monetary and engineering realities make it nearly inconceivable to construct in an affordable timeframe. But, speculators throw these huge numbers round, hoping to safe energy capability within the hopes of flipping the challenge later.

Why the grid can’t sustain with knowledge heart calls for

As utilities wrestle to kind truth from fiction, the grid itself turns into a bottleneck. McKinsey not too long ago estimated that international knowledge heart demand might attain as much as 152 gigawatts by 2030, including 250 terawatt-hours of latest electrical energy demand. Within the U.S., knowledge facilities alone might account for 8% of whole energy demand by 2030, a staggering determine contemplating how little demand has grown within the final twenty years.

But, the grid will not be prepared for this inflow. Interconnection and transmission points are rampant, with estimates suggesting the U.S. might run out of energy capability by 2027 to 2029 if various options aren’t discovered. Builders are more and more turning to on-site era like fuel generators or microgrids to keep away from the interconnection bottleneck, however these stopgaps solely serve to spotlight the grid’s limitations.

Conclusion: Utilities as gatekeepers

The true bottleneck isn’t an absence of capital (belief me, there’s loads of capital right here) and even know-how — it’s the flexibility of utilities to behave as gatekeepers, figuring out who’s actual and who’s simply enjoying the hypothesis sport. And not using a strong course of to vet builders, the grid dangers being overwhelmed by initiatives that may by no means materialize. The age of faux knowledge facilities is right here, and till utilities adapt, your complete {industry} might wrestle to maintain tempo with the true demand.

On this chaotic atmosphere, it’s not nearly energy allocation; it’s about utilities studying to navigate a brand new, speculative frontier in order that enterprises (and AI) can thrive.

Sophie Bakalar is a associate at Collaborative Fund.