AI Power Costs Trigger US Infrastructure Backlash

19 September 2026

Executive Summary

Rapid expansion of artificial-intelligence data centres is creating a new regulatory and infrastructure risk as US lawmakers seek to prevent households from bearing the electricity-network costs created by large technology facilities.

The US House of Representatives voted 417-3 this week in favour of the Ratepayer Protection Act.

The proposed legislation would require state utility regulators to consider whether large electricity consumers — including data centres — should bear the incremental infrastructure costs required to supply them.

The measure has not become law.

An attempt to accelerate it through the Senate was blocked on Thursday, and debate continues over whether the proposal is strong enough.

President Donald Trump said on Friday that he was discussing the legislation with Senate Majority Leader John Thune.

The development reflects a wider challenge emerging around AI infrastructure.

Data centres require enormous amounts of:

  • Electricity.
  • Grid connections.
  • Transformers.
  • Transmission infrastructure.
  • Backup generation.
  • Cooling.
  • Water.

The cost of providing that infrastructure is increasingly becoming a political and regulatory issue rather than simply a technology-sector expense.

UK Impact

The legislation is American, but the underlying problem is international.

The UK and Europe are also attempting to expand:

  • AI infrastructure.
  • Cloud computing.
  • Data centres.
  • Semiconductor production.

All compete for electricity-network capacity.

UK businesses considering data-centre developments or major electricity-intensive projects should therefore assess whether future costs could include more than the electricity itself.

Potential exposure includes:

  • Grid connection charges.
  • Infrastructure contributions.
  • Longer connection times.
  • Planning restrictions.
  • Local opposition.
  • Power-price volatility.

Businesses located near major data-centre clusters may also need to consider competition for grid capacity.

Global Impact

Governments face an increasingly difficult balance.

They want AI investment because it can support:

  • Technology leadership.
  • Employment.
  • Investment.
  • Digital infrastructure.

But communities increasingly question whether households should finance electricity infrastructure primarily required by enormous commercial users.

This issue is already appearing internationally.

Authorities in several jurisdictions have introduced or considered restrictions on new data centres because of pressure on:

  • Electricity.
  • Water.
  • Land.
  • Grid capacity.

The result may increasingly determine where AI infrastructure is built.

Our View

Businesses should treat electricity access as a strategic infrastructure dependency.

Companies should ask:

  • How much electricity will future operations require?
  • Is grid capacity actually available?
  • How long is the connection queue?
  • Who pays for network upgrades?
  • Could those rules change?
  • Are connection costs contractually fixed?
  • Is local opposition developing?
  • Could planning permission be delayed?
  • Are alternative sites available?
  • Could on-site generation be used?
  • Is backup generation adequate?
  • Is water availability sufficient?
  • Could electricity-intensive neighbours affect local capacity?
  • Are future expansion plans dependent upon additional power?
  • Could regulatory changes materially alter project economics?

The wider lesson applies beyond AI.

Access to electricity can no longer be assumed simply because a site is connected to the grid.

For major industrial projects, available capacity, connection timing and who pays for expansion are becoming fundamental investment risks.

Risk Indicator: HIGH – AI, ELECTRICITY & INFRASTRUCTURE

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