X Exposes Chinese Bot Farm Threatening American Energy Security

X says it found a massive suspected Chinese bot farm amplifying outrage about AI data centers, and the controversy is now tangled with real grid costs, partisan polls, and federal probes into foreign funding that critics say is steering local opposition. This piece walks through what X flagged, the data on power-price impacts, public sentiment, and the tangled network of groups and money behind anti-data-center campaigns.

X announced it identified roughly 200,000 suspected Chinese inauthentic accounts, with about 200 of them “posting in a manner that could manipulate a legitimate debate about American AI and energy policy.” The platform framed the activity as an influence operation that piggybacked on real local anger over electricity costs. That mix of genuine grievance and possible foreign amplification is the tough part for anyone defending domestic AI growth.

The X Safety team conducted an investigation into suspected Chinese inauthentic accounts involved in influence operations: We identified a bot farm of approximately 200,000 accounts.

Within this farm, we found 200 accounts posting in a manner that could manipulate a legitimate debate about American AI and energy policy.

Many of the posts X flagged leaned into fears that data centers are inflating household power bills and straining regional grids. Some messages even used AI-generated political cartoons to paint data-center operators as profiteers taking money from ordinary people. Those visuals and claims spread fast because they matched what many locals already suspected.

These posts contained claims that AI data centers are driving up household electricity prices and straining the grid. Others included AI-generated cartoons that depicted data-center operators enriching themselves at the public’s expense.

https://x.com/GlobalAffairs/status/2093130747796148634

The concern isn’t made up. PJM Interconnection, the regional grid covering 67 million people, has seen data-center demand factor into capacity auctions and pricing. Independent market monitors have said that including forecast demand for data centers made recent capacity auctions less competitive, and those results show up on utility bills across the region.

Monitoring Analytics put a dollar figure on it: $29.4 billion attributed to data-center load over recent auctions, roughly 46 percent of capacity charges across four auctions. Wholesale power prices in parts of that region spiked by 76 percent year over year in the first quarter, a jump that regulators and local ratepayers have noticed and are debating.

Public opinion reflects the same worry. A May Gallup poll found 71 percent of Americans oppose building AI data centers where they live, with 48 percent strongly opposed and only about a quarter in favor. Opposition cuts across party lines; other polls show solid Republican unease, and movements against local builds have traction in many communities.

Garry’s List noted, “AI doomerism isn’t as organic as it looks.” That line speaks to the central problem: real local anger can be useful cover for foreign or ideologically driven actors who want to slow American AI progress for their own gain.

At the center of some reporting is Neville Roy Singham, who critics say has funneled large sums into a network of nonprofits, media projects, and advocacy groups. Those groups are accused of pushing campaigns that create local resistance to infrastructure projects, including AI data centers, and of amplifying narratives useful to authoritarian rivals.

Federal prosecutors moved to investigate whether Singham or associated organizations committed financial crimes, with the U.S. Attorney for the Southern District of New York and authorization from the acting Attorney General advancing inquiries. The probe is focused on money flows and whether foreign funding was used to hide influence or break U.S. law.

Critics say the activist campaigns tied to that network have had real effects: dozens of local efforts that delayed or blocked AI-related infrastructure and billions in chilled investment. Those outcomes matter because they shape who builds American AI capacity, and at what pace, while competitors abroad race ahead.

There’s a broader theory tying these strands together in an aggressive strategy of influence and disruption. One recent book titled China’s Total War Strategy: Next-Generation Weapons of Mass Destruction lays out a framework in which psychological operations, infrastructure pressure, and other irregular tactics are part of a larger competitive playbook. Whether one accepts every element of that thesis, the idea that outside actors would exploit internal divisions is straightforward.

The State Department’s report, “Cuba: The Capital of 21st Century Communism,” likewise details how foreign networks can extend influence into American politics and civic life. These documents feed a partisan view that foreign funding and ideological networks are shaping local fights in ways the public often does not see.

Public Policy Solutions , “More than $2 billion in foreign money is fueling the war on American data centers,” adding, “Bernie & AOC’s data center ban is China’s dream come true. While Beijing builds AI infrastructure at record speed, they’re funding the movement to kill ours.” That claim frames the clash as a strategic threat with real money behind it.

What’s obvious is this: opponents of data centers point to real costs and local impacts, while investigators and critics point to how foreign networks can amplify those protests. As election season looms, the choice for defenders of American AI will be whether to campaign against a handful of amplified accounts or against the mounting, tangible cost signals that voters already feel in their electric bills.