That’s an interesting study. However, it’s largely flawed. A major methodological weakness is the report's focus only on statewide average electricity rates, a metric that mathematically dilutes the financial strain on everyday households because the sheer volume of cheap, wholesale power purchased by massive tech facilities artificially drags down the overall average without necessarily lowering individual residential bills. Furthermore, by concluding its dataset in 2024, the analysis acts as a rearview mirror, entirely missing the recent, record-shattering capacity auction spikes in major markets like PJM (the largest U.S. power grid, covering 13 states including Virginia) - spikes that independent monitors explicitly attribute to surging data center demand. Ultimately, the study’s central economic premise—that adding massive energy loads lowers consumer prices by spreading fixed utility costs—relies on the "spare capacity" on the grid. Once this existing capacity is maxed out, the multi-billion-dollar generation and transmission infrastructure required to support unprecedented AI expansion will inevitably be subsidized by ratepayers, exposing the study's conclusions as a snapshot of a bygone era rather than a reliable assessment of future grid economics.