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AI's Infrastructure Gold Rush Is Gutting the Infrastructure We Actually Need

ended 15. December 2025

Private spending on data centre construction in the US reached an annualised rate of more than $41 billion in 2025, according to Census Bureau data reported by Bloomberg. This figure roughly equals total state and local government spending on transportation construction.

State and local governments sold a record amount of debt in 2025 for the second consecutive year, with strategists predicting another $600 billion in sales next year, most earmarked for infrastructure projects including roads, bridges, and sewers.

The construction industry is simultaneously facing labour shortages driven by retirements and immigration policy changes. Data centre construction sucks resources from other projects and this implies that infrastructure projects are not going to move as fast as people want.

We want your views:

  • How should regional planning authorities assess cumulative construction capacity when both public infrastructure and private data centre projects compete simultaneously?
  • What data would help politicians andcommunities understand the trade-offs between different infrastructure investment types?
  • What coordination mechanisms could help manage finite skilled labour pools across competing construction sectors?
  • How can economic impact assessments account for opportunity costs when resources shift between project types?
  • What transparency measures would help stakeholders understand infrastructure project sequencing decisions?
  • Should there be regional construction capacity planning that considers both public service and private technology infrastructure needs?

3 responses from the Newspage community

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We're watching a spectacular resource grab disguised as progress. Tech giants are hoovering up skilled construction workers to build their AI infrastructure whilst the roads, bridges, and sewers that keep society functioning are left waiting for the same people and materials.

We're diverting finite construction capacity toward buildings designed to train chatbots whilst critical public infrastructure crumbles. The AI industry loves talking about efficiency gains, but nobody's measuring the cost of pothole-riddled commutes and postponed bridge repairs against the promise of slightly smarter tech.
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The news that World Cup final tickets will hit £3,000, amid warnings of US transport collapse, is a trailer for the Ready Player One economy we are building. It’s the ultimate neoliberal trade-off: Digital Opulence versus Physical Squalor.

We’ve poured billions into the digital infrastructure that lets you stream matches in 8K VR, but neglected the physical world so badly you can’t actually get to the stadium. The US spent $41bn on data centres this year, sucking up the electricians and engineers needed to fix their transit.

This is a stark warning for the UK. We’ve just designated data centres as 'Critical National Infrastructure' to fast-track construction while key rail projects stall. We are importing the exact same mistake: prioritising the servers that power chatbots over the foundations that move people.

We’re creating a two-tier reality where the digital simulation is paradise, but the real world is a crumbling, premium-only product that most people can't afford to live in.
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Data centres are swallowing the workforce needed to fix the real world. Construction labour is finite and already stretched. Try booking an electrician or a brickie for a small local job and you will feel it. Big, well funded tech builds jump the queue. Roads, schools and basic repairs wait. It is great news for those on the tools. It is slower, costlier and more disruptive for everyone else. This is not an abstract planning issue. When public projects stall, costs rise, productivity suffers and local businesses absorb the knock on damage. Private capital moves fast. Public infrastructure does not get that luxury. Decisions are being taken one project at a time, with no clear view of cumulative strain on labour, materials or timelines. That is how trade offs disappear until communities are living with them. Regional planning needs to own capacity, sequencing and impact in the round. If no one manages the trade offs, local people end up paying for them.