According to @Google, the median Gemini AI text prompt now requires less than 9 seconds of TV-equivalent energy, about 5 drops of water, and only 0.03 grams of CO2 emissions. Over the past 12 months, Google reports a 33-fold reduction in energy consumption and a 44-fold decrease in carbon footprint per prompt (source: goo.gle/4mu14uf). This significant efficiency gain reflects a major trend in AI model sustainability, offering new business opportunities for organizations seeking eco-friendly AI solutions and lowering operational costs. The data highlights AI industry efforts to meet growing regulatory and consumer demand for green technology, making sustainable AI a competitive differentiator.

According to DeepLearning.AI, the International Energy Agency (IEA) reports that artificial intelligence is expected to drive a significant surge in electricity demand, potentially doubling data center energy consumption by 2030 (source: DeepLearning.AI Twitter, June 10, 2025). The report emphasizes that while AI's growing computational requirements increase power usage, AI technologies can also optimize energy grids and reduce emissions through improved efficiency. This dual impact presents both challenges and business opportunities for companies developing energy-efficient AI solutions, sustainable data center infrastructure, and smart grid management tools.