US Grid Warnings Sound Alarm for UK AI Energy Future

18 August 2026 7 min readSource: theregister.com
Building up the US power grid won't be wasted, even if the AI bubble bursts

Executive summary

A McKinsey report highlights the risk of underinvestment in the US power grid due to soaring data centre demand, driven by AI. It suggests that even if the AI 'bubble' deflates, grid infrastructure built now would not be wasted. This comes as UK data centre operators face increasing scrutiny over their energy consumption and grid connection requirements.

Reporting based on theregister.com

Why it matters

While focusing on the US, this article offers critical insights for the UK, where similar pressures from AI-driven data centre growth are mounting. The challenges of managing increased electricity demand, capacity gaps, and the need for significant grid investment are directly relevant to the UK's energy security and its ambition to be a leader in AI.

Sector impact

Analysis by AI Energy Intelligence UK

UK electricity demand

The article reports that in the US, data centres are expected to account for approximately 75 per cent of projected power demand growth over the next decade. The current building rate would necessitate an additional 30 GW of power annually, with 20 GW for IT equipment and the remainder for cooling, distribution, and resilience.

UK energy security

The US power sector faces a potential nationwide capacity gap of 30 to 55 GW by 2030, a situation that could necessitate extending the life of coal and gas facilities and bringing retired plants back online to maintain grid reliability. This highlights how AI-driven demand can challenge energy security, potentially leading to reliance on less sustainable power sources.

Businesses

For businesses operating or planning data centres, the report indicates that delays in grid connections are prompting a trend towards on-site power generation, with nearly 60 per cent of power sector leaders expecting data centres to retain permanent on-site generation by 2030. Natural gas is the primary fuel for 64 per cent of these planned on-site power solutions.

Consumers
Not directly addressed by the source.

Key statistics

26 percent
Projected US data centre energy consumption growth this year
75 percent
Data centres share of projected US power demand growth over next decade
30 GW
Additional power required annually for current US data centre building rate
40 GW
Estimated US spare dispatchable capacity
100 GW
Estimated US committed new capacity
50 to 75 GW
Expected retirement of US coal and gas-fired steam capacity
120 GW
Projected US demand growth
30 to 55 GW
Estimated nationwide US capacity gap by 2030
60 percent
Percentage of power sector leaders expecting permanent on-site generation by 2030
64 percent
Percentage of on-site power users relying on natural gas
$500 million
Funding authorised by Trump administration for coal-fired power plants

Figures as reported by theregister.com. See original source for context.

Quotations

"US power companies must decide how much capacity to build for soaring datacenter demand, knowing that some planned facilities may never materialize and the AI bubble could deflate. Consulting firm McKinsey & Company says the greater near-term risk is building too little."

McKinsey & Company

"Even if AI compute growth slows, McKinsey argues, the generation and transmission infrastructure built to support it is unlikely to become stranded. The assets could serve other demand while strengthening grid reliability and resilience."

McKinsey

Long-term implications

The long-term implications suggest a shift towards more localised energy solutions for data centres, with a projected increase in solar paired with battery storage beyond 2030, alongside continued reliance on gas. Emerging technologies like Small Modular Reactors (SMRs) and next-generation geothermal are not expected to significantly impact system capacity before the mid-2030s.

AIDatacentresElectric VehiclesIndustrial ElectrificationGas TurbinesFuel CellsBattery StorageSolar PowerSmall Modular Reactors (SMRs)Geothermal Energy

Frequently asked questions

What is the main concern regarding AI and the power grid?

The main concern is that rapid growth in AI-driven data centre demand could lead to significant underinvestment in the power grid, resulting in capacity shortfalls and challenging grid reliability, as highlighted by McKinsey.

How much will data centres contribute to US power demand growth?

Data centres are projected to account for approximately 75 per cent of US power demand growth over the next decade, requiring an additional 30 GW of power annually for current building rates.

What is the US capacity gap projected for 2030?

The US is projected to face a nationwide capacity gap of approximately 30 to 55 GW by 2030, due to increasing demand and the retirement of existing generation facilities.

What strategies are data centres using for power due to grid connection delays?

Many data centre developers are turning to on-site power generation, primarily using gas turbines, fuel cells, and battery storage, with a significant number planning to retain this on-site generation even after grid connections become available.

Original source

This story summarises reporting from theregister.com. Read the original for full context.

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UK AI Energy Index

The measured evidence behind this story

Our reporting sits on top of the UK AI Energy Index — a sourced, dated record of AI and data-centre electricity demand, data-centre development and grid pressure.

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