Digital Economy

Data centres, the US elections and artificial opinions: the dual pollution caused by AI

On the eve of the US elections, OpenAI is considering renaming its infrastructure ‘AI compute campuses’. Meanwhile, deepfakes, biased sources and automated responses are distorting public debate and influencing public opinion.

3' min read

Translated by AI
Versione italiana

3' min read

Translated by AI
Versione italiana

Before changing data centres – which are seen as ugly and polluting – we could try changing their name. Perhaps that would make them more likeable. It sounds like a joke, but it isn’t: OpenAI is reportedly preparing a public relations campaign for after the elections. Among the ideas is to rebrand them as ‘AI compute campuses’. The word ‘campus’ conjures up images of research and well-tended lawns, rather than expensive bills and an environmental footprint. The news, first reported by Axios, comes on the eve of tomorrow’s US mid-term elections on 3 November.

For the PORTS-Pike project in Ohio, OpenAI expects to create 35,000 construction jobs over six years of work and 2,500 long-term operational jobs. The project also involves new power stations, including gas-fired ones. A change of name does not solve the problem of how to distribute the benefits and costs.

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Artificial intelligence thus appears to be increasingly at the centre of the political debate. It promises jobs, but raises fears about its impact on employment. It attracts investment, but requires electricity, space and water. Those living near the servers want to know what the benefit is of living close to the world’s AI powerhouses.

And then there is the actual electoral interference. In its briefing on the US elections on 26 October, NewsGuard reports on the case of James Talarico, a Democratic candidate for the Senate in Texas. An operation attributed to the Russian network Storm-1516 circulated AI-generated videos in which a fake former student accused him of abuse. The person whose identity was impersonated denied the allegations. However, in NewsGuard’s tests, Gemini and Copilot reported the accusation as if it had actually come from him.

NewsGuard has identified 1,181 political websites masquerading as independent local news outlets. When asked about the candidates and issues covered by these sites, the assistants cited them in 48 per cent of the cases examined. This percentage relates to that particular test, not to all the AI’s responses. The report does not measure how many votes were swayed. However, it demonstrates how propaganda can be given a new lease of life, repackaged with the neutral tone of a digital assistant.

Finally, there is another form of pollution: that of the data we use to gauge public opinion. This issue came to light in a study published at the end of October 2026 in the scientific journal *Tobacco Control* by researchers from the Universities of Edinburgh and Bath. We are in Great Britain. In 2023, the government had launched a consultation on the ‘smoke-free’ generation and youth vaping. Out of 118,756 responses, the Department of Health classified 90,835 as fraudulent: 76 per cent.

The automated responses focused on a single question, opposing restrictions on disposable e-cigarettes. Once those were removed, 77 per cent of valid respondents were in favour. The raw data would have suggested the opposite.

A consultation is not a representative poll, let alone an election. However, the responses are incorporated into the legislative process and become political issues. Automating them makes it possible to create the appearance of public mobilisation. In this case, according to the available data, the filter worked, even though the researchers were unable to independently verify the methods used.

It remains unclear who organised and funded the campaign. The authors also point out that the study documents large-scale automation, without proving the use of generative models. This is perhaps the most disturbing aspect.

 

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  • Luca Tremolada

    Luca TremoladaGiornalista

    Luogo: Milano via Monte Rosa 91

    Lingue parlate: Inglese, Francese

    Argomenti: Tecnologia, scienza, finanza, startup, dati

    Premi: Premio Gabriele Lanfredini sull’informazione; Premio giornalistico State Street, categoria "Innovation"; DStars 2019, categoria journalism

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