The Carbon Crisis of Cloud AI—Why Computing Locally Holds the Answer

As generative AI proliferates, cloud-based models consume staggering amounts of energy—with data center electricity usage projected to double from 415 TWh in 2024 to 945 TWh by 2030. A single advanced AI query consumes 10 times more energy than a standard web search, making environmental impact unavoidable. Local AI addresses this crisis by shifting computation to edge devices, reducing both carbon emissions and latency while maintaining performance—a shift that could redefine how enterprises deploy artificial intelligence sustainably.