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The US AI boom is facing an electric shock

The race for artificial intelligence dominance by Big Tech may soon hit a bump in the road as U.S. power grids struggle with keeping up with hyperscalers who spend big. Microsoft, Amazon and Alphabet, among other technology giants in the US, announced in recent months that they plan to spend $600 billion in AI by 2026. Some investors are already concerned about the profitability of this strategy due to the investment wave. The ambitious U.S. AI plans will be hindered by severe power-infrastructure bottlenecks including turbine shortages and slow grid expansion.

The processing and cooling of data centers that are used to train and deploy AI models requires enormous amounts energy. The largest U.S. site consumes over a Gigawatt (GW), enough to power up to 850,000 households.

These electricity-hungry installations, which are often located in remote areas, will require independent energy plants that use gas, renewables, or nuclear technology.

Cleanview, an energy consultancy, has identified 46 data centres that are planning to build their power plants themselves. These centers will primarily use gas-fired generators. The consultancy stated that their combined 56 GW capacity represents about 30% of the planned U.S. capacity for data centers.

Soon, developing independent power systems may become a necessity.

In this article,

State of the Union Address

On Tuesday, Donald Trump, the U.S. President who has been a champion of AI growth in the U.S., said that tech companies have "the obligation to provide their own energy needs".

Trump said, "They can build their own power plants as a part of their factories so that nobody's prices will increase." The pressure is building. In 2025, the annual U.S. electricity consumption reached a record-high of 4,195 terawatt hours. According to government statistics, electricity prices in the United States have also risen by 7% on average over the past year. The International Energy Agency predicts that electricity demand will continue to increase, with an average annual growth rate of 2% between 2025 and 2030, more than double the previous decade. This is mainly due to data-center expansion.

BOTTLENECKS AROUND

Soon, you may feel the squeeze.

PJM interconnection, the U.S.'s largest grid operator, which controls around 180 GW in 13 states, has warned this month that data center demand will increase rapidly, resulting in a potential 'power supply shortfall of up to 60% over the next decade. The company warned that by 2027 the U.S. Grid could be lacking in reserves and capacity, increasing the risk of blackouts. Grid operator PJM announced plans last month to force large power users – primarily data centres – to develop their own energy supply or to agree to connect to a framework that allows PJM the ability to reduce power output.

The Electric Reliability Council of Texas, (ERCOT), is also at risk of being overwhelmed by the surge in data-center demand.

ERCOT reported in December that 226 GW, mainly data centers, were seeking to connect to the grid. This is roughly three times the current capacity of U.S. data centers. Most of the requests concern projects larger than 1?GW. The data centers may also struggle to find the gas turbines needed to power them. Gas turbine manufacturers, such as GE Vernova and Siemens Energy, have warned they can't meet the global demand for gas turbines. This is especially true of power generation. Siemens Energy and GE Vernova executives have stated that they are sold out for years. Delivery slots for large gas turbines stretch well into the 2020s.

THE GRIDS Grid The U.S.'s surge in power demand has led to a large investment into the country’s?aging grid. In Texas, the?ERCOT is planning to spend $585 million annually in 2027, up from $414 in 2025. However, it's not clear if that will be sufficient to meet demand.

Not only the U.S. market is playing catch-up. The global investment in power grids also lags behind the deployment of new generation?capacity.

In a report, the IEA stated that more than 2,500 GW projects - such as renewables, batteries and large-load development, like data centers – remain stuck?in queues for grid-connection. This puts around a quarter of global data center build-outs at risk of delay. The IEA stated that to meet global electricity demand by 2030, grid investments would need to increase from $400 billion today, along with a significant scaling up of grid-related supply chain.

The rush to build up data centers to support the global AI arms races is likely to be a major economic factor of this decade, and possibly even this century.

The AI future could be held back today by the physical limitations of the world.

The opinions expressed in this article are those of Ron Bousso a columnist at. Open Interest (ROI) is your new essential source of global financial commentary. Follow ROI on LinkedIn and X. Listen to the Morning Bid podcast daily on Apple, Spotify or the app. Subscribe to the Morning Bid podcast and hear journalists discussing the latest news in finance and markets seven days a weeks.

(source: Reuters)