Google Releases Data on AI Energy Use – Why It Matters for Communities

For the first time, Google has released detailed data on how much energy AI consumes. This transparency is a big step forward: until now, information on the environmental impact of AI models was largely proprietary.

Google’s findings show that while AI adoption is rapidly increasing, efficiency improvements are keeping pace. Over just 12 months, the energy consumption per Gemini Apps text prompt decreased 33x, and the carbon footprint fell 44x. In practical terms, a single AI prompt now consumes less energy than watching TV for nine seconds. At the same time, Google’s data centers reduced energy emissions by 12%, even as overall electricity use rose 27% due to business and AI expansion.

Still, the broader picture is clear: AI will continue driving global energy demand upward. Building smarter grids, advancing clean energy, and scaling new infrastructure will be essential to support both AI innovation and economic growth. Communities everywhere are already seeing this play out as new data centers are planned and constructed.

For local leaders, this moment is filled with opportunity. Data centers aren’t just infrastructure—they’re catalysts for growth. Communities that position themselves to welcome this investment can expect new jobs, stronger tax bases, and long-term economic stability. With the right planning, data centers become anchors that fuel innovation, attract additional businesses, and showcase a community’s readiness for the future.

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