AI Data Centres: Who Gets a Say in Where They Are Built?
A UK investigation into AI Growth Zones found heavy business engagement and limited early community and environmental consultation — a governance pattern that applies beyond government.
Short answer
AI infrastructure decisions can prioritise investors and suppliers while communities and environmental impacts are consulted late or not at all — Spotlight on Corruption's UK findings do not prove corruption but raise stakeholder-governance questions. Identify affected parties early, assess physical impacts, document competing interests, and measure outcomes after implementation.
Artificial intelligence is often presented as something almost invisible. We ask a question, receive an answer, and rarely consider the enormous physical infrastructure required to make it happen. Behind the screen are data centres filled with computers consuming electricity, requiring cooling, and occupying increasingly large areas of land.
As demand for AI grows, governments are encouraging investment in these facilities. But who gets a say in where they are built and how they operate?
On 27 October 2026, the British organisation Spotlight on Corruption published an investigation into the United Kingdom government's approach to developing AI Growth Zones — designated areas intended to encourage investment in AI infrastructure, particularly data centres.
The investigation examined government meetings and policy development between July 2024 and June 2026. It found that officials had met representatives from 137 businesses, but senior government decision-makers had held no meetings with environmental organisations and had consulted only two community groups. Those community meetings reportedly occurred after the relevant areas had already been designated. The investigation also identified 38 ministers, senior officials, and advisers who moved into AI industry positions during the broader period examined.
These findings do not establish corruption or improper conduct by any individual. They do, however, raise questions about whose interests influenced policy development and whether affected communities had meaningful opportunities to contribute. The government maintains that its plans will create employment, support economic growth, and deliver benefits for communities.
Why this matters
AI infrastructure brings genuine economic opportunities. New facilities can attract investment, create employment, support technological development, and improve access to computing services. But they can also place pressure on electricity networks, water supplies, local infrastructure, and the environment. Communities may face changes to land use, construction activity, and demand for public resources.
If decisions are made primarily through discussions with investors and technology suppliers, important consequences may receive insufficient attention. This is a familiar governance problem. A project may appear financially attractive and technically impressive while overlooking people who bear its costs. And once substantial investment has been committed, changing course becomes much harder.
The same issue arises in ordinary businesses. AI projects often begin with promised savings or greater productivity, while concerns about employees, customers, suppliers, or environmental effects are considered later. Good governance requires asking who benefits, who bears the risks, and who has been heard before important decisions become irreversible.
What to do
Identify everyone affected. Include employees, customers, suppliers, communities, and public-interest organisations, not simply investors. Consult early. Seek views before decisions are effectively finalised.
Assess physical impacts. Consider electricity consumption, water use, environmental consequences, and infrastructure demands. Record competing interests. Identify potential conflicts and document how different concerns influenced the final decision.
Measure actual outcomes. Compare promised benefits and environmental performance with what happens after implementation. These principles apply whether an organisation is building a data centre or introducing AI into a small business.
Sources
- The Guardian, 27 October 2026 — government meetings on AI datacentres.
- Spotlight on Corruption, 27 October 2026 — Zoned Out report on AI Growth Zones.
- Spotlight on Corruption, 27 October 2026 — communities and environmental groups excluded from policy making.
- ISO/IEC 42001 explained — International Organization for Standardization.
We help identify interested parties, assess impacts, and document how competing concerns are weighed — stakeholder and supplier governance through gap assessment and AIMS work aligned with ISO/IEC 42001.