AI Drives Massive Environmental and Resource Costs
Ramesh Srinivasan and Emily Jacobi write in the Mercury News on Feb. 27, 2026, that corporate AI operations impose large environmental and economic costs, citing studies equating last year's AI carbon emissions to New York City and 2025 freshwater use surpassing global bottled-water consumption. They warn data-center energy demand could match India's by 2034 and call for transparency, a moratorium on new data centers, and democratic control over personal data.
Key Points
- 1Reports quantify large footprint: 2025 AI emissions equaled New York City; freshwater use exceeded bottled-water consumption.
- 2Warns data centers will scale: by 2034 AI energy demand rivals entire India, stressing grids and renewables.
- 3Calls for policy: demand transparency, moratorium on new data centers, and democratic control over personal data.
Scoring Rationale
Highlights industry-scale environmental risks and policy proposals, but relies on unspecified studies and opinionated framing.
Sources
Public references used for this report.
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