AI's power play: the high-stakes race for energy capacity | Computer Weekly
Briefly

The growing adoption of generative AI is straining global energy resources, pushing data centers to double their electricity demand by 2030. This surge calls for immediate infrastructure upgrades and clear legal frameworks to manage associated risks. While AI contributes to enhanced energy management, the need for developers to establish robust contracts and safeguard investments is crucial to navigate the impending energy challenges. Without proper planning, the excitement surrounding AI could lead to unforeseen complications for both technology and energy sectors.
A proactive approach to identifying and clearly allocating project risks and rewards is crucial for successfully navigating the complex legal environments of AI-driven projects.
Training a single large language model can consume as much electricity as a small town, highlighting the staggering energy demands of generative AI.
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