County with 37 Data Centers Asks Schools to 'Conserve Electricity'

A Virginia county with dozens of power-hungry data centers has asked public schools and other government buildings to cut electricity use after rates jumped roughly 25%, prompting anger over who bears the cost of rapid AI and cloud expansion. Commenters argue over how much data centers are actually driving higher prices versus other factors like state clean energy mandates, grid design, and utility investment decisions. The exchange widens into a broader critique of corporate influence, cost socialization, and media framing, alongside calls for policies that make large data users finance new generation and transmission instead of shifting burdens onto households.

Scope of the County’s Conservation Request

  • Email went to all county government facilities (including schools), not just schools, but the headline emphasizes schools.
  • Conservation tips (turn off lights, PCs, space heaters) are seen as sensible in isolation but trivial relative to data center demand.
  • Multiple comments compare turning off office lights to “a drop in the bucket” vs. multi‑MW data centers.

Electricity Prices and Causes

  • Dominion/Virginia rates recently rose sharply, moving from well below average to closer to other states.
  • One analysis cited in the thread attributes much of Virginia’s recent price increase to the Virginia Clean Economy Act (renewables build‑out and gas prices), with load growth partly offsetting increases.
  • Others argue PJM’s forward capacity market design is a major price driver.
  • Several posters say the article strongly implies data centers caused the 25% rate hike without showing causal evidence and call this cherry‑picking or bad journalism.

Role and Impact of Data Centers

  • Henrico reportedly has 37 data centers (~2 GW, heading toward 3 GW), roughly equivalent to over a million homes’ load; many see this as inevitably straining local infrastructure and raising shared costs.
  • Counterpoint: PJM is a huge grid (tens of millions of customers); focusing on one county ignores broader market mechanics.
  • Transmission upgrades and new lines cost billions; critics say these costs are largely socialized onto ratepayers while data center owners privatize profits.
  • Some note data centers increasingly sign large solar and other generation deals, but others stress that generation still must be transmitted and integrated.

Policy Proposals and Fairness Debates

  • Suggestions: ringfence data center loads, require them to fund new capacity/transmission, or deny interconnection until sufficient clean energy exists.
  • Others argue similar rules should apply to all large industrial loads, not just data centers.
  • Tension between subsidizing rural grids vs. letting higher‑cost or fire‑prone areas become effectively uneconomic.

AI, Demand, and Public Backlash

  • Many view AI/data center growth as a largely unnecessary luxury load compared to basic residential needs, predicting political backlash (“Nana sweats so Zuck can tokenmaxx”).
  • Some want the “AI bubble” to burst; others note widespread (often free) consumer AI use and large corporate token spending.

Media and Framing Critique

  • Several commenters see 404 Media as broadly anti‑big‑tech/anti‑AI and frame this piece as agenda‑driven: stating correlation, implying causation, and omitting key grid/regulatory context.