
The growing demand for artificial intelligence (AI) is significantly impacting global energy consumption and infrastructure. AI data centers, driven by the computational needs of generative AI and other advanced models, are contributing to a sharp rise in electricity demand. In the United States, this trend is straining the power grid and challenging utilities' climate goals. The Energy Department has announced plans to implement AI technology to address the backlog in the power grid, aiming to enhance efficiency and reliability. Globally, the data storage industry is projected to grow by nearly 18% annually, reaching $778 billion by 2030, fueled by AI advancements. Meanwhile, countries like India and the UAE are emerging as leaders in AI development, with India ranking among the top four in Stanford's Global AI Vibrancy rankings and the UAE securing fifth place. India also saw Q2FY25 AI funding surge to $51 million, nearly six times the Q1 figure. Additionally, TCS secured $1.5 billion in bookings, reflecting the growing economic impact of AI. These developments highlight the dual challenges and opportunities posed by AI in energy management and technological innovation.












AIが電力を食いつぶす 人間のあくなき欲望、社会や科学が向かう先 https://t.co/DilWvEwA0G 人工知能(AI)が扱う膨大なデータが、電力需要を押し上げています。データを扱うための電力をいかに抑えるか。そのカギになる、次世代の省エネ半導体の開発に取り組む一人が、天野浩・名古屋大教授です。
生成AIが扱うデータが膨大になり、データセンターの電力消費量が世界の電力需要を押し上げています。経済成長とともに、エネルギー消費量は増え続けてきました。 神への挑戦:AIが電力を食いつぶす 人間のあくなき欲望、社会や科学が向かう先 | 毎日新聞 https://t.co/PyGKATQmIB
[FT]マイクロソフト、原発の建設申請を加速 AIツールで https://t.co/EI7FGBVnrl