The Grid Pushback Against AI Has Begun
The industry’s long-anticipated power crunch is now producing real policy and commercial consequences.
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For much of the AI infrastructure boom, the industry’s power problem sounded like something that would arrive in the future.
Utilities warned about rising demand. Grid operators pointed to crowded connection queues. Developers talked about waiting years for transmission upgrades.
That future is beginning to arrive.
New York this week became the first US state to impose a statewide moratorium on certain new large data center projects, pausing incomplete state permit applications while regulators develop rules governing how the facilities should be powered, what they should pay for grid access and what benefits they must provide to host communities.
Also this week, PJM Interconnection, which operates the power grid across all or parts of 13 states and the District of Columbia, saw its latest capacity auction reach a federally approved price ceiling of $325 per megawatt-day. Even at that price, PJM still failed to secure enough power resources to meet its reliability target.
Across the Atlantic, Nscale’s planned £2 billion AI data center in Essex reportedly lost its expected grid-connection timeline, forcing the company to explore generating electricity on site.
Taken together, these developments show that the grid constraint is no longer just a risk hanging over the AI infra boom. It is beginning to act as a real brake on it.
New York wants more than jobs
New York Governor Kathy Hochul described the recent rush of data center proposals as an attempt to “flood the zone.”
Her concern is straightforward: the state must keep the lights on while also keeping electricity affordable for households and businesses.
A 50 MW data center, Hochul said in an interview on Bloomberg’s Odd Lots podcast, can consume roughly as much electricity as 50,000 homes. When several large projects arrive at once, they begin competing with residents, manufacturers and other businesses for the same limited power supply.
New York had nearly 12 GW of data center requests in its grid-connection queue as of May, including more than 8 GW added during 2025.
The state’s response is not intended to be a permanent ban, Hochul said. The one-year pause is meant to give regulators time to establish what she repeatedly called the “rules of the road.”
Her summary of those rules was blunt: Data centers should bring their own power or pay a premium to use New York’s grid.
Hochul said the state is considering several requirements. Developers could be asked to fund new generation, contribute toward transmission upgrades and pay into a larger grid-resiliency fund. They may also be expected to provide direct benefits to the towns and counties hosting their facilities.
That last point matters because many proposed data centers are located in smaller communities that do not have experienced planning departments or teams of lawyers negotiating on their behalf.
Hochul, who previously represented a rural part of upstate New York, said those communities may not know what developers are willing to offer.
She suggested that a locality could seek payments based on the size of a project — giving $1 million per megawatt as an example — alongside investments in the local grid and community.
The figure was not presented as a settled statewide fee. But it illustrates the amount of bargaining power Hochul believes host communities may possess.
The state’s goal is to create a standard framework that local governments can use, rather than leaving each town to negotiate alone with some of the world’s largest technology companies.
Who should pay for the grid?
The New York debate is also about who bears the financial risk of the AI buildout.
Utilities may need to spend billions of dollars on power lines, substations and new generation to serve proposed data centers. But developers often examine several locations before deciding which projects to build.
If a utility upgrades the grid for a campus that is later abandoned, ordinary electricity customers could be left paying for infrastructure that is no longer needed.
New York wants more of that risk to sit with the data center developer.
That could mean larger upfront deposits, dedicated power supplies or other financial guarantees before utilities begin major construction.
The policy would amount to a significant change from the early stages of the AI boom, when states and local governments competed to attract data centers with tax breaks, cheap land and promises of abundant electricity.
New York is still competing for technology investment. But it is making clear that access to the grid will not be free or unconditional.
Data centers must compete with factories
Hochul’s interview also revealed a broader political question: how should governments allocate scarce electricity among competing industries?
She contrasted data centers with Micron’s planned semiconductor manufacturing complex in New York, a project expected to create thousands of direct and indirect jobs.
If she had to choose between powering a “largely vacant data center” and a Micron factory employing thousands of people, Hochul said the choice would be obvious.
That comparison gets to the heart of the challenge facing data center developers.
Data centers can produce substantial construction spending, property-tax revenue and technology investment. But after construction is complete, the largest facilities may employ relatively few permanent workers compared with factories consuming a similar amount of electricity.
As power becomes harder to secure, developers may need to show that a project delivers more than electricity demand and a large building.
They may be asked to fund infrastructure, provide community payments, create training programs or supply their own generation.
Hochul even suggested that future data center operators could arrive with their own small modular nuclear reactors, with New York helping to identify suitable land.
The idea remains speculative, but it captures the direction of travel: the biggest new electricity users may increasingly be expected to bring power with them.
PJM shows the shortage is not theoretical
PJM’s latest capacity auction helps explain why states are becoming more cautious.
Capacity markets pay power plants and other resources to be available when electricity demand is highest. The payment is separate from the price customers pay for the electricity they actually consume.
PJM’s auction for the 2028-2029 delivery year reached its approved ceiling of $325 per megawatt-day. Without that cap, PJM estimated the regional price would have risen to about $555 per megawatt-day.
Even at the ceiling, PJM came up 6,831 MW short of the amount of capacity it says is needed to meet its reliability standard.
The price cap limited how high the auction could go. It did not create more power plants.
PJM’s demand forecast continues to rise, in large part because of new data centers. But building dependable generation and transmission takes far longer than announcing an AI campus.
Only 525 MW of new generation and upgrades cleared the auction, far less than the expected growth in demand.
The result shows that the grid bottleneck is no longer just about waiting in a connection queue. It is also beginning to appear in the cost of keeping enough power available for everyone already connected.
When a data center cannot get electricity
Nscale’s proposed AI campus in Loughton, Essex, shows what happens when the grid cannot match a developer’s schedule.
The company was reportedly told that electricity would not be available in time for the planned £2 billion facility to open next year. It is now considering alternatives, including fuel cells from Bloom Energy that could generate power on site using natural gas.
The project highlights a basic mismatch.
A company may be able to secure land, financing, customers and computing equipment within several years. The transmission infrastructure needed to power the campus can take much longer.
On-site generation can help developers avoid connection delays, but it creates new complications involving emissions, gas supply, environmental permits and community opposition.
The power problem does not disappear. It simply moves somewhere else.
What this means for bitcoin miners
The grid bottleneck strengthens the value of mining sites that already have power.
Keel Infrastructure announced this week that it plans to consolidate electricity from three existing bitcoin mines in Québec into a single 96 MW AI and high-performance computing campus in Sherbrooke. The company is not asking for additional power, only approval to transfer its existing allocation.
CleanSpark’s new 20-year lease in Sandersville, Georgia, shows another path. The company is transforming its long-established mining campus into a data center project expected to generate about $6.6 billion in contracted revenue.
Ionic Digital has already leased 234 MW of energized capacity at its former Ward County mining site to Nscale, although its plans to expand the campus further still depend on utility work and regulatory approval.
The examples point to the same advantage: bitcoin miners may already control the land, substations and grid connections that new data center developers are struggling to secure.
But existing power and future power should not be valued equally. A site that can reuse an established allocation, as Keel is proposing, is different from one that still depends on transmission upgrades or new generation.
As grid constraints begin to slow the AI buildout, the most valuable mining assets may be those that allow developers to avoid asking for new power altogether.
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