Perspective outlines a framework for regulating AI data centre grid access to enhance power system reliability and sustainability.
Artificial intelligence data centres are expanding rapidly and risk imposing large, inflexible electrical loads on already-stressed power systems. This Perspective argues that grid access for such facilities should be conditional: interconnection should be granted only if developers commit to verifiable, operator-relevant contributions that offset incremental system burdens relative to a passive-load counterfactual. I propose a net-grid-benefit test linking interconnection rights to three measurable obligations: (1) hour-by-hour clean-power matching using auditable accounting and deliverability screens where relevant; (2) certified fast frequency-response and regulation services delivered via controllable IT load, UPS or battery systems, and cooling controls with telemetry and fail-safe guardrails; and (3) recovery and productive use of low-grade waste heat where feasible. Grounded in peer-reviewed evidence and compatible with existing regulatory frameworks, the test converts voluntary sustainability claims into enforceable performance duties, aligning AI-infrastructure growth with grid reliability, emissions integrity, and local energy-integration goals.
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Shaikh Afnan Birahim (2026) studied this question.
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