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What will it take to achieve net-positive AI energy by 2030?

As demand for artificial intelligence (AI) surges, leaders face a choice: scale fast and strain energy systems, or scale strategically and turn AI into a lever for competitiveness, resiliency and sustainability. A World Economic Forum framework grounded in over 130 real-world use cases across more than 15 countries reveals a pathway for leaders to unlock this potential. With AI workloads expanding exponentially, electricity availability is becoming a strategic constraint for innovation and competitiveness. Data-centre electricity demand is expected to double by 2030, and recent research from Cornell warns that, without smarter siting and efficiency gains, AI data centres could strain US power systems by 2030 (adding emissions equivalent to 5-10 million cars and consuming water equal to 6-10 million households annually).

Full report : How can AI scale responsibly with carbon emission norms and win.