Two recent opinion polls in the United States have revealed significant public resistance to the construction of new data centres, particularly those focused on artificial intelligence, within local communities. The findings suggest a growing political and social challenge for the rapidly expanding tech infrastructure sector.
A Harvard/MIT survey of 1,000 people in November found that while 40% supported a data centre being built in their area, 32% were opposed. Notably, the poll indicated that more people would prefer an e-commerce warehouse in their neighbourhood than a data centre facility.
Economic Concerns Outweigh Job Promises
A primary driver of opposition is concern over rising energy costs. Two-thirds of respondents in the Harvard/MIT poll worried a new data centre would increase local electricity prices. This economic anxiety appears to overshadow the potential for job creation, a common argument for such projects. Analysts note that data centres typically require few permanent staff once operational, limiting long-term local employment benefits.
A separate, more recent poll by Quinnipiac University, published this week and surveying 1,397 U.S. adults, found even stronger opposition. 65% of Americans stated they would oppose the construction of an AI data centre in their community, with only 24% in support.
From Background to Forefront
The contrasting poll results highlight that the debate over data centre placement is intensifying and remains unresolved. For years, these facilities operated largely unnoticed. "Data centers once worked quietly in the background, more or less. Not anymore," industry observers noted. The surge in AI development, which demands immense computational power, has accelerated data centre construction, bringing their environmental and community impacts into sharper public focus.
This shift from industrial obscurity to a topic of neighbourhood concern suggests that local opposition could increasingly influence zoning decisions and become a more prominent issue in regional politics, as elected officials respond to constituent sentiment.