# Market Thesis Research Bundle

Question: Given Dominion's rising fuel costs in Virginia and the data-center boom, will a major utility serving a data-center hub explicitly warn that AI load growth is lifting residential bills or forcing a separate large-load tariff or rider by year-end 2026?

What this bundle is: a reasoning and monitoring scaffold. It organizes public evidence into observations, claims, uncertainty branches, thresholds, and a watch plan.

What this bundle is not: primary evidence, live market data, trade advice, or a substitute for official, live, or current web sources.

Core tension: Given Dominion's rising fuel costs in Virginia and the data-center boom, will a major utility serving a data-center hub explicitly warn that AI load growth is lifting residential bills or forcing a separate large-load tariff or rider by year-end 2026?

Current inference to verify: {'answer': 'Yes, in substance already by the cutoff.', 'confidence': 0.86, 'reasoning': ['Dominion publicly proposed separate high-energy-user treatment for data centers.', 'Virginia SCC approved a GS-5 large-load class for the biggest users, including data centers.', "Dominion's customer materials already warn of higher residential bills in 2026 and 2027.", "Primary sources do not use 'AI' wording, so the exact phrasing remains unresolved even though the underlying warning is already present."]} Treat this as a hypothesis that must be refreshed against live official sources, not as a signal.

How to use: read `source_priority.json` first, refresh sources in `live_verification_plan.json`, then use `fact_inference_split.json`, `thresholds.json`, and `watch_schedule.json` to decide what changed. Do not infer buy/sell/hold, position sizing, execution, or asset-price direction from this artifact.