Published March 2025 | Version v1
Report Open

Powering Artificial Intelligence: Big Tech's Dream and Ratepayers' Nightmare

Creators

  • 1. University of Chicago

Contributors

Description

The rapid expansion of artificial intelligence (AI) and cloud computing is driving unprecedented growth in electricity demand, primarily due to hyperscale data centers operated by major technology firms. These facilities consume vast amounts of power, raising concerns over grid reliability and cost allocation. As utilities invest billions in new infrastructure to meet this demand, the financial burden often falls on ratepayers through increased utility bills. This paper examines the economic and regulatory challenges posed by AI-driven electricity consumption, analyzing the risk of cost overruns, preferential rate structures, and inflated demand projections. It explores policy measures aimed at protecting consumers, such as specialized rate classifications, cost-of-service studies, and coincident peak demand charges. By evaluating state-level regulatory interventions and alternative cost allocation frameworks, this essay highlights the importance of ensuring fair electricity pricing while maintaining grid stability.

Files

2025 Winter Eric Fang Powering Artificial Intelligence.pdf

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Additional details

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Other
oai:uchicago.tind.io:14674

UChicago Information

Division(s)
The College
Department(s)
Public Policy Projects