Foreign Enemies Are PLAYING Americans

Typewriter typing the word PSYOP on white paper — Photo: Kaspri / Shutterstock

The fight over America’s AI buildout is no longer just about permits and power lines; it is also an information contest in which foreign actors try to slow U.S. capacity by stoking domestic backlash—mostly through amplification—while evidence that they created the opposition or meaningfully shaped outcomes remains thin.

The Short Version

Senior U.S. officials have warned that foreign adversaries run influence operations to inflame anti–AI and anti–data center sentiment.
Open-source researchers and independent outlets broadly agree amplification exists, but find little proof that foreigners originated the movement or drove its scale.
Local concerns—land use, water, grid stress, rates, noise—are the primary fuel; adversaries pour accelerant online where it’s cheap and deniable.
Strategic context matters: data centers are core to AI competitiveness, so information operations targeting them follow a familiar great-power playbook.

What’s actually being claimed—and by whom

Recent statements by U.S. officials and allied voices frame anti–data center and anti-AI activism as a target of foreign psychological operations. In an interview, Department of War Under Secretary for Research and Engineering Emil Michael argued that adversaries have incentives to “psyop” Americans against AI infrastructure, the scaffolding of future economic and military advantage. Similar claims from senior policymakers and industry advocates point to malign influence and “foreign-sourced dark money” attempting to bog down permitting and erode public support for large-scale compute hubs. The thrust of this view is not subtle: if the United States falters in building data centers, it risks ceding the AI frontier to rivals.

However, strong claims require strong substantiation. Independent analysts surveying social networks and media flows generally acknowledge that foreign outlets and covert personas have amplified anxieties about data centers—but stop short of concluding those efforts birthed the movement or decisively shifted public opinion at scale. That distinction—amplification versus origination and impact—sits at the center of the evidence.

Mechanism: how a modern influence operation targets infrastructure fights

Influence operations today avoid heavy-handed fabrications; they graft onto live controversies, amplify divisive framings, and launder narratives through a mix of state media, cutouts, and inauthentic social accounts. Data centers are a ripe target because they concentrate several legitimate local frictions: electricity demand and grid interconnections, water use for cooling, siting and land values, noise, diesel backup generation, and rate design for large customers. A campaign need not invent grievances. It only has to increase the salience of the most polarizing ones—often with sharpened language about environmental harms, corporate privilege, or national decline—and steer them into the feeds of communities already skeptical of large-scale projects.

This is how amplification works in practice: repeat potent frames, boost emotive anecdotes, and knit isolated protests into a narrative of nationwide resistance. It’s cost-effective and plausibly deniable. And because data centers are a cornerstone of AI capability, slowing their deployment offers outsize strategic payoff for an adversary.

The public record: amplification, yes; decisive foreign authorship, not proven

What does the documented record show? On the government-and-advocacy side, officials and aligned commentators have warned of malign influence targeting data center siting and AI discourse. On the research-and-verification side, organizations that specialize in tracking information operations have been more circumspect. Wired quoted analysts at Graphika, a firm known for attributing coordinated inauthentic behavior, saying they had not seen evidence of organized, scaled campaigns traceable to a foreign actor—aside from limited exceptions—at the time of their assessment. Politifact’s review similarly concluded that political rhetoric is ahead of the evidence on scale and effect, even as some foreign efforts exist at the margins.

Several outlets make the same core point in different words: while there are instances of state-linked media and accounts echoing anti–data center narratives, the weight of the movement is better explained by organic, local concerns than by a centrally directed foreign operation; more importantly, there is scant proof those foreign efforts measurably shifted U.S. opinion or policy outcomes. That does not absolve foreign actors of trying; it does place their role in proportion to the facts currently available.

Why this dispute keeps surfacing: AI, infrastructure, and great-power incentives

When a domestic infrastructure fight intersects with strategic competition, influence claims are inevitable. Data centers are the physical substrate of AI—their siting, interconnection, and power procurement determine how fast national AI capability can scale. That reality creates obvious incentives for rivals to slow U.S. buildout through low-cost information operations, especially ones that need only heighten existing anxieties rather than fabricate new ones. Analysts who are skeptical of sweeping causation claims still acknowledge those incentives and the likelihood of amplification activity around them.

At the same time, U.S. opposition to local projects is a durable, bipartisan feature of the political landscape. Residents object to perceived externalities long before an adversary notices the controversy. The practical upshot: both things can be true—local resistance can be authentic and significant, and foreign actors can try to pour gasoline on it online—without the latter being the prime mover.

3/ For months, Republicans have pushed this stupidity.
Trump: "a lot of people say it's China."
Burgum blames "foreign psyops campaigns."
Scalise says they're investigating.
Sen. Cotton asked DOJ to investigate foreign influence targeting AI infrastructure.

— TJHSST ⚔️ Defeating #DarkMoney (@TJHSSTParents) October 6, 2026

What responsible policy and corporate actors should do next

First, separate security from scapegoating. Treat foreign influence as a real risk channel that warrants continuous monitoring, faster attribution, and coordinated platform enforcement; do not use it as a blanket explanation for every setback. Agencies should publish periodic, methodologically transparent summaries of observed amplification tied to infrastructure controversies, including confidence levels and examples, to discipline public claims and guide countermeasures.

Second, harden the target by reducing the attack surface. The less opaque a project’s impacts, the less fertile the ground for manipulative narratives. That means rigorous environmental reviews published in accessible formats; granular disclosures of water, energy, and backup emissions profiles; and community benefit agreements that are specific, enforceable, and auditable. Many objections arise from information asymmetry; narrowing that gap weakens both authentic distrust and opportunistic amplification.

How to read new claims as they arise

Apply three tests. Causation: does the claim show foreigners created or directed the movement, or merely amplified it? Scale: is there evidence—coordinated network analysis, spend traces, repeated cross-platform assets—of a campaign large enough to plausibly shape outcomes? Impact: can anyone show a before-and-after effect on public opinion, permitting timelines, or votes? Skeptical appraisals to date find that most high-profile allegations fail at least one of these tests, often two.

Meanwhile, the strategic logic remains intact: America’s AI trajectory depends on timely expansion of compute, energy, and network capacity; those assets will remain targets for gray-zone pressure, including information operations. The antidote is not to dismiss local concerns as puppet theater. It is to do the hard, unglamorous work of credible engagement, transparent design, and verifiable mitigation—backed by professional counter-influence capacity that focuses on facts, not talking points.