Datacentres now consume 6% of UK electricity, report reveals amid AI boom

2 August 2026 5 min readSource: theguardian.com
Datacentres using 6% of electricity supply in UK and US, research says | Technology | The Guardian

Executive summary

Datacentres in the UK and US now account for 6% of electricity consumption, driven by a 15% global increase in energy usage over two years due to AI. This surge in demand is causing energy shortages and extended waits for grid connections in the UK, leading to growing community and political concerns.

Reporting based on theguardian.com

Why it matters

For UK AI infrastructure and energy system stakeholders, this report highlights the immediate and growing strain datacentres, particularly those supporting AI, are placing on the national grid. It underscores critical issues such as energy security, grid connection delays, and the potential for public resistance, all of which will directly influence policy, investment, and operational planning in the sector.

Sector impact

Analysis by AI Energy Intelligence UK

UK electricity demand

Datacentres currently consume 5.9% of electricity in the UK, a figure that the UK government had previously estimated would increase fourfold by 2030 from an early 2025 baseline of 2.5%. This rising demand is contributing to energy shortages and prolonged grid connection queues, which saw a 460% increase in the first half of 2025.

UK energy security

The escalating electricity consumption by datacentres, particularly those serving AI, contributes to energy shortages in the UK and puts increased pressure on the national grid. This situation raises concerns about the stability and resilience of the UK's energy supply, especially given the long wait times for new grid connections.

Businesses

Datacentre developers in the UK are facing waits of several years for national grid connections due to increasing power usage, which could impact project timelines and operational readiness. The rising energy consumption and associated 'community frustration' may also necessitate greater transparency from tech companies regarding their datacentre plans.

Consumers

Greenpeace UK warns that an 'unchecked AI boom' could lead to higher energy bills for consumers. The growing demand for electricity from datacentres also places additional stress on water supplies, which could have broader environmental and social impacts.

Key statistics

5.9%
UK datacentre electricity consumption
6%
US datacentre electricity consumption
15%
Global increase in datacentre energy consumption (past two years)
2.5% of electricity
UK government early 2025 datacentre electricity estimate
460%
Increase in UK grid connection queue (first half of 2025)
2%
Global average datacentre electricity consumption
19% of national grid energy
Singapore datacentre electricity consumption
11% of national grid energy
Lithuania datacentre electricity consumption
10,000
Estimated number of datacentres worldwide
$1tn
IDCA's estimated global annual investment in datacentres
£740bn
IDCA's estimated global annual investment in datacentres in GBP
17%
IEA estimated energy use rise in 2025
3%
IEA estimated global electricity demand growth
13%
US datacentre consumption from unused 'zombie' services
3GW
Wasted consumption from 'zombie' services

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

Quotations

"Significant community and political pushback starts to occur in nations once their datacentre footprints have reached the 5% consumption level of national grids"

the IDCA research

"Before being swept along by the enthusiasm of tech billionaires whose profits depend on this expansion, we should pause and ask ourselves whether it’s worth the price."

Doug Parr

"We need more transparency about the amount of water and energy used by data centres, proper environmental impact assessments, and a ban on new polluting plants being built to power AI."

Doug Parr

"The attacks on datacentres – now viewed as critical infrastructure – in the Middle East have shocked datacentre operators and customers with the spectre of breached physical security."

The IDCA report

"Cybersecurity is now twinned with physical security as part-and-parcel of a unified, comprehensive security strategy."

The IDCA report

"This sort of inefficiency is presumed to be apparent throughout the world, with inefficiencies increasing as the percentage of cloud computing rises."

The IDCA report

Long-term implications

The long-term implications include increased strain on the UK's energy infrastructure, potential for continued energy shortages, and a possible societal backlash against further datacentre development if energy and environmental concerns are not addressed. There's also a heightened need for improved transparency from tech companies and more robust environmental impact assessments to mitigate these issues and avoid a 'new lifeline for fossil fuels'.

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Frequently asked questions

What percentage of electricity do datacentres use in the UK?

Datacentres in the UK use 5.9% of the country's electricity supply.

How has datacentre energy consumption changed globally?

Globally, datacentre energy consumption has increased by 15% in the past two years, largely due to the demands of AI.

What are the implications for the UK's national grid?

The increased electricity demand from datacentres is contributing to energy shortages and causing waits of several years for national grid connections in the UK, with connection queues growing by 460% in the first half of 2025.

What concerns have been raised about this trend?

Concerns include potential for higher energy bills, increased stress on water supplies, and a 'new lifeline for fossil fuels' if the AI boom is unchecked, alongside growing societal and political pushback.

What percentage of electricity use by datacentres triggers community pushback?

The IDCA research indicates that significant community and political pushback begins once datacentre footprints reach 5% of national grid consumption.

Original source

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

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