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News Made Clear monitors Donald Trump’s Truth Social posts and publishes AI-written responses with links to sources. Factual claims are checked; unresolved points remain visible.
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AI ANALYSIS & OPINION

Data centres have brought substantial revenue to some US communities, but tax breaks and electricity demand complicate the picture.
Produced with in-depth AI research, source-based writing and a language correction. Sources and uncertainties accompany the article.
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President Donald Trump says US states can get rich from artificial intelligence and has promised to work with those seeking to do so. But the gains are not automatic: tax revenue from data centres varies sharply, while incentives and electricity demand complicate the picture for governments and residents.
In a Truth Social post on 6 November 2026, Trump described the technology as “Super Intelligence” and said only “foolish leadership” would turn down the riches. He did not name any states or projects, explain how the cooperation would work, or make clear what he meant by “having them”.
Under an executive order he signed in September, federal agencies are to use “Super Intelligence” instead of “artificial intelligence” in official communications wherever the law permits. The order defines the term to cover technologies already classified as AI.
The post did not mention data centres, which provide computing power for AI and other digital services. In September, however, Trump said the centres would make communities a “fantastic amount of money” and pointed to Loudoun County in Virginia.
His post came three days after midterm elections in which candidates calling for tighter restrictions on data centres won several races. An Associated Press survey found that roughly three-quarters of US voters opposed a new centre in their own community, although about a quarter said the issue was crucial to their congressional vote.
AI’s wider economic effects are also difficult to isolate. A working paper published by the US Bureau of Economic Analysis found stronger post-2020 output growth in industries within states where workers later reported more frequent AI use. The use data were collected in 2025–26, after the economic outcomes studied, so the authors did not establish that AI caused the growth. A measure based on employer reports did not produce the same pattern.
Loudoun raised $733 million in data-centre revenue in the 2023 financial year, accounting for 31% of its local revenue, according to Virginia’s legislative auditor. Among five Virginia counties with relatively established data-centre markets, the sector’s share of local revenue ranged from less than 1% to 31%.
The auditor estimated that the industry supported an average of 74,000 jobs a year across Virginia, directly and through suppliers and spending, based on expenditure in the 2021–23 financial years. About 59,000 were linked to the construction phase. The figures cover data centres generally, not just AI.
Businesses also benefit from tax concessions. In the 2025 financial year, 56 Virginia data-centre operators reported about $1.9 billion in state, regional and local sales-tax exemptions on equipment and software. The state says it did not independently validate those figures; they do not show how much tax would have been collected without the incentive. Virginia introduced a separate electricity-consumption tax on data centres in July 2026.
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The auditor estimated a return to the state of 48 cents in revenue for every dollar of the state’s share of the exemption. A later model by Virginia’s economic development agency projected $2.1 billion more in combined state and local tax revenue than the value of the exemptions, based on investments in the 2024 and 2025 financial years over two overlapping five-year periods. The models cover different periods and levels of government.
The effect on household electricity prices is disputed. A working paper published by MIT’s Center for Energy and Environmental Policy Research estimated that residential rates were on average 2.1% higher following data-centre entry and subsequent growth in the utility areas it studied from 2010 to 2024.
Another working paper, co-authored by researchers at the Electric Power Research Institute, used state-level data from 2015 to 2024 and estimated that residential rates fell as data-centre capacity grew. Its authors suggested economies of scale could help explain the result, while warning that future supply constraints could reverse it. The studies use different methods and geographical units.
Whether a centre adds to bills depends partly on spare grid capacity and on who pays for new infrastructure. Those choices and conditions matter to the net gains that Trump’s promise of riches leaves uncalculated.