Forrester analysis warns that AI operator expansion faces structural constraints: power tariffs, grid commitments, water access, and tougher community permitting scrutiny.

AI infrastructure growth is running into hard limits on energy, water, and land. Forrester researchers predict that governments will increasingly require datacenter operators to pay for the resources they consume, forcing a fundamental rethink of how that growth is funded, managed, and regulated.

The scale of the infrastructure buildout needed to support AI across businesses, governments, and consumer services is staggering. PwC estimates cumulative global datacenter capital expenditure through 2050 at between $22 trillion and $50 trillion, with a central estimate of $31.6 trillion—roughly equivalent to a year of US economic output. Whether regional grids and communities can support those ambitions remains an open question.

Forrester's 2027 sustainability predictions frame the core tension plainly: "Unlimited AI ambition faces a reckoning with limited resources." The firm expects governments and utilities to require datacenter operators to finance grid upgrades, pay for reserved capacity, and provide guarantees against speculative demand. Community impact reviews will also become mandatory gates that new projects must pass before construction proceeds.

Abhijit Sunil, Forrester's senior analyst, explained the logic in a recent blog post: "With unprecedented growth demands, utilities cannot assume that every proposed datacenter will arrive on schedule or consume its promised load. Building generation and transmission for speculative demand could leave households and businesses paying for stranded infrastructure."

The White House has already signaled this direction, calling on hyperscalers to procure their own power, fund upgrades, and pay for reserved capacity even when unused. Sunil predicts that at least two countries will formalize this ratepayer-protection principle into tariffs or equivalent obligations in 2027. Cloud and colocation costs will become increasingly location-specific, contractually committed, and exposed to power-market risk.

Datacenter operators should prepare for long-term minimum payment commitments, financial guarantees, energy tariffs, and requirements to curtail loads when grids are strained. "Cloud economics will consequently become more dependent on location, electricity contracts, grid maturity, and providers' ability to generate or reduce power," Sunil said. "Enterprises rapidly scaling AI capacity will increasingly inherit these costs."

The United States, however, appears to be moving in the opposite direction on environmental oversight. In August, the EPA proposed eliminating federal minimum requirements for public participation in minor-source air permits—a change that could allow some datacenter power projects to proceed without public notice, even as Forrester predicts that community scrutiny will increasingly determine which facilities actually get built.