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.