The bill for the AI boom lands on the kitchen table โ not the data hall.
New research published by The Firewalkers finds that the cost of building the grid and water systems the data centre boom requires lands on household bills โ and falls hardest on the families least able to carry it. The poorest third of UK households already spend 3.7% of income on water against a 1.6% average, and the lowest-income tenth spend roughly 10% of their budget on energy against a 6% average. In Scotland, a single 500-megawatt data centre could receive up to ยฃ80 million a year in power-cost support. The Firewalkers is calling for cost internalisation, protected social tariffs, and a binding test that those who profit pay for the infrastructure they need.
The cost of building the power and water systems the data centre boom needs does not vanish. It lands on household bills. New research from The Firewalkers finds that this cost falls hardest on the poorest and most rural families. They already spend a far larger share of their income on energy and water โ and they are the least likely to benefit from the buildout next door.
The research draws together official forecasts across the UK, Ireland and the European Union to ask a single question that planning systems rarely answer out loud: when the grid and the reservoirs have to expand to serve hundreds of new data centres, who actually pays โ and can they afford it?
Utility bills are largely flat-rate for small consumers. A poorer family does not get a cheaper unit of electricity than a wealthy one โ so when wholesale prices rise to fund new generation and grid upgrades, the same percentage increase consumes a much larger slice of a low-income budget. A 1% rise is a rounding error for an affluent household and a real choice between heating and food for a struggling one.
The research sets out how stark that gap already is. Domestic energy costs make up about 6% of total spending for the average UK household โ but around 10% for the lowest-income tenth, according to official spending data. Water is the same shape: typical bills are around 1.6% of income, but among the poorest third they reach 3.7%. The recognised thresholds for water poverty are 3% and, for severe hardship, 5%. The poorest third are already at the edge of the first.
That is the situation before the data centre boom adds new demand. The expansion does not create these inequalities. It pushes on the exact point where they are already most painful.
Source: Institute for Government, citing ONS Family Spending in the UK 2023โ24.
Water & sewerage โ share of income (national average vs poorest third)Source: Ofwat, Affordable for all. Bars are proportional within each chart. Energy and water are measured on different bases and are shown separately, not against each other.
The research identifies two ways data centre growth pushes prices up. The first is new generation: meeting sudden peaks and low-wind periods increasingly relies on gas plants, whose costs flow through to wholesale prices. The second is infrastructure โ the substations, transmission lines and reservoirs needed to connect and supply the new load. Those costs typically feed into the tariffs paid by all customers.
The clearest warning comes from the United States, where the pattern is further advanced. Virginia hosts the world's densest data centre cluster. A 2024 study by the state's own Joint Legislative Audit and Review Commission found that if data centre growth continues unconstrained, Virginia's electricity use could rise 183% by 2040 โ against just 15% if there were no new data centre demand. Almost all of the projected growth is driven by data centres, not by population or electric vehicles.
That demand has a cost, and households are already feeling it. Residential electricity bills in Virginia have risen by close to 30% since 2021, faster than general inflation, according to analysis of the utilities' own regulatory filings. In response, Virginia's regulator approved a new rule in early 2026 requiring large data centre users to pay a minimum share of the distribution, transmission and generation capacity they contract โ explicitly to protect other ratepayers from absorbing those costs.
A note of caution on a widely-shared figure: claims that bills near data centres have risen "267%" refer to wholesale market prices, which are only one component of a household bill โ not to the bills households actually pay. The Firewalkers does not use that number. The residential reality โ roughly 30% in Virginia since 2021 โ is serious enough without overstatement.
The UK is not on US-style contracts, but the underlying mechanism is the same. Ofgem has warned that around 140 proposed data centre projects could require some 50 GW of new power capacity โ about 5 GW more than today's entire national peak of 45 GW โ and that connecting these loads requires substantial investment in new substations and lines. Build that infrastructure on the assumption of demand that may not all arrive, and it is billpayers who cover the gap.
One number is conspicuously missing from the UK debate: how much this adds to the average household bill. No UK body has yet published a clear, public estimate of the per-household cost of the grid expansion the data centre queue implies. That absence is itself a finding. Decisions worth tens of billions are being taken without the one figure an ordinary billpayer would most want to see.
Data centre developments often arrive with public support. The UK's AI Growth Zones offer qualifying sites large discounts on wholesale power and faster grid connections. The research notes a single 500 MW centre in Scotland could save around ยฃ24 per megawatt-hour โ up to roughly ยฃ80 million a year โ if it helps stabilise the grid.
The official position is that this support is self-financing and costs other billpayers nothing, because the sites sit near surplus renewables. That may hold. But it is a forecast, not a guarantee. If the forecast overshoots, the risk has been socialised: consumers cover the grid build through their rates while a private operator keeps the discount. The pattern is visible in Northern Virginia, where data centres generate substantial local tax revenue โ but where serving their demand requires a far larger programme of grid investment, much of it recovered from residents and consumers rather than the operators.
A subsidy, a tax break, or a cheap-power deal does not make a cost disappear. It moves it. Relief given to a data centre is paid for somewhere else โ through higher bills for other customers, reduced revenue for local services, or public money that could have gone elsewhere.
The honest test is simple. If a data centre genuinely lowers system costs by soaking up off-peak renewables, those savings should be visible and passed on transparently. If it does not, it should pay full market rates and full infrastructure costs, like any other large industrial user. What should not happen is the profit being private while the risk is public.
Rural and low-income communities sit at the sharpest point. Many rural households depend on scarcer water supplies and on agriculture, which competes for the same water in a drought. In Ireland, urban households account for a larger share of metered electricity demand than rural ones โ reflecting sparser, less efficient rural living and higher per-capita costs. When prices rise, these are the households with the least slack to absorb them.
The research is blunt about the imbalance. Data centres mostly bring short-term construction jobs and tax revenue, not lasting local employment. The communities asked to carry the higher bills, the water stress, and the grid strain are frequently the ones least likely to see any ongoing benefit in return.
"There is a quiet unfairness running through all of this. The people who will never set foot in a data hall, who hold no share in the company, who were never asked โ those are the people who pay for it, through a bill they cannot reduce. If a project is genuinely worth building, it can afford to carry its own costs. Asking the poorest to carry them instead is a choice, not a necessity."Scott Seivwright, Founder, The Firewalkers
The research sets out practical policy options. The first is cost internalisation: developers should fund the grid and water upgrades their projects require, through deposits, capacity auctions, or build-and-transfer programmes, rather than passing them to billpayers. Ireland already requires new connections to include on-site generation or storage. The UK's emerging Growth Zone model moves in this direction by letting operators build their own transmission lines.
The second is protecting vulnerable users directly. Any residual price rise driven by data centres should be cushioned by enhanced social tariffs or rebates for low-income households. A small per-kilowatt-hour levy charged only to data centre sites could fund energy-bill assistance for the poorest households โ turning a source of pressure into a source of protection.
The third is transparency. Operators should report their energy and water use publicly, so communities can see the real impact rather than relying on assurances. None of this stops a single useful data centre being built. It changes who pays for it.
The Firewalkers does not oppose data centres as a category, and does not argue that digital infrastructure should not be built. Computing capacity has real value, and some of the costs described here can be designed out.
What The Firewalkers opposes is a model in which the rewards of the data centre boom are privatised while its costs โ higher energy bills, higher water bills, and the risk of stranded infrastructure โ are socialised onto the households least able to carry them. The ask is not "stop". The ask is that those who profit pay for what they need, and that the poorest are protected before the first sod is turned.
Full research paper: Data Centre Capacity Expansion to 2035 โ Affordability and the Distribution of Cost. The Firewalkers Research Paper No. 03. Available on request from media@firewalkers.earth. Published simultaneously with this press release.
Earlier research: Britain's data centre queue is more than three times the size of the entire national grid (PR-001, 10 June 2026) and One data centre in Ireland used enough water for 18,000 people in a single year (PR-002, 11 June 2026).
Methodology: This research prioritised official and regulator sources โ energy regulators, grid operators, national statistics offices, and government policy documents โ across the UK, Ireland, the EU and the US. US figures are included as a leading indicator of cost dynamics, not as a direct read-across; UK and EU markets differ in structure. Distributional figures are drawn from official household-expenditure and water-affordability data.
On the "267%" figure: A widely-circulated claim that electricity bills near US data centres rose 267% refers to wholesale market prices, which form only one part of a residential bill. The Firewalkers deliberately does not use that number, and cites the residential-bill change instead (around 30% in Virginia since 2021).
On comparisons: Energy and water spending shares are measured on different bases and should not be read against each other. Domestic-bill comparisons are illustrative of relative burden, not interchangeable amounts.
Scott Seivwright is a senior technology professional with 30 years in digital transformation, an Oxford AI Programme graduate, co-founder of GreenPO.org, and a member of the Green Software Foundation. He is available for interview, comment, and broadcast media. He speaks from Edinburgh and can travel.
High-resolution images are available on request. Broadcast and podcast enquiries welcome.
The Firewalkers is an independent movement. It accepts no advertising and has no commercial relationship with any data centre operator, energy company, planning authority, or water company.
Scott Seivwright
Founder, The Firewalkers
YouTube: @firewalkersearth
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Full citations with page references are provided in The Firewalkers Research Paper No. 03, available on request. US figures are included as a leading indicator of cost dynamics, not as a direct read-across to UK markets.
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