Bibliography
1. Washington Post reporting on Prince William County’s Digital Gateway hearings and the 2,100-acre rezoning plan. Documents testimony, resident tensions, and developer plans.
2. Dominion Energy and Pepco rate filings (2024–2025) detailing the cost allocation of new transmission lines, substations, and grid upgrades associated with data-center load growth.
3. People Magazine feature on Maryland and D.C. residents experiencing higher electricity bills despite lower usage, tied to regional grid investments serving data centers.
4. Georgia Public Service Commission filings on Georgia Power’s proposed $16 billion generation-expansion plan, with public testimony linking the costs to data-center growth.
5. Harvard Electricity Law Initiative analysis (Peskoe et al.) on how data centers raise rates when infrastructure costs are socialized, and how they lower rates when properly priced.
6. Energy Institute at Haas and Lawrence Berkeley Lab summaries on data-center impacts on electricity prices, emphasizing conditions under which loads can lower average rates.
7. Union of Concerned Scientists study identifying $4.3 billion in grid-connection and related costs across multiple states being passed to ratepayers, often tied to data centers.
8. WIRED and Bloomberg reporting on Northern Virginia’s data-center noise, land-use battles, and community impacts, including interviews with affected residents.
9. McKinsey projection estimating global data-center and AI infrastructure spending surpassing $6.7 trillion by 2030.
10. IMF analysis on AI-related capital expenditures propping up U.S. business investment amid tariff-driven contraction pressures.
11. Harvard Business School and Peterson Institute research on how tariff uncertainty suppresses long-term capital investment.
12. Bank of England Financial Stability Review warning that U.S. AI-heavy tech valuations resemble dot-com peak conditions.
13. Kuppy Kupperman and Balancier Capital notes on AI infrastructure depreciation timelines (3–10 years) and the rapid obsolescence of GPU clusters.