Cornell University study: data centers shift infrastructure costs onto residents

Researchers at Cornell University have published a report on the financial burden that energy-intensive facilities place on regions. The analysis showed that AI data centers cover only 38% of the costs for expanding local energy infrastructure.

The remaining 62% of the total $8.25 billion is shifted onto the shoulders of ordinary consumers. Rural areas and low-income households, whose budgets are not designed for sharp increases in utility costs, are at the greatest risk.

In some regions, household energy expenses have risen to 28% of total family income. The study's authors attribute this to the need for large-scale modernization of power grids to meet the requirements of new computing clusters.

The findings call into question current models for subsidizing and connecting large infrastructure projects. In practice, this threatens to increase social tension in regions where computing capacity is being actively built.