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We’re excited to share critical insights and breakthroughs exploring the intersection of AI and sustainability
Generative AI is rapidly becoming one of the most significant consumers of energy on the planet. Today, AI accounts for approximately 1% of global energy use, with projections estimating a tenfold increase annually for the foreseeable future. While some AI technologies aim to improve computing efficiency without significantly increasing electricity consumption (as noted in recent research), the growing accessibility and use of generative AI will inevitably lead to a substantial rise in energy demands. In fact, Goldman Sachs Research estimates that by 2030, AI will increase data center power consumption by up to 200 terawatt-hours annually, with AI expected to account for nearly 19% of total data center power demand by 2028.
But it's not just electricity that's under strain. The significant computational power required for generative AI leads to high water usage as well. Data centers, where AI models run, generate tremendous heat during operation. Often, water systems are used to cool the equipment and keep it functioning. Water transports the heat generated in the data centers into cooling towers to help it escape the building, similar to how the human body uses sweat to keep cool. So water-intensive is this demand, that the projected global AI demand on water in 2027 will be equivalent to more than the total annual of half of the United Kingdom. This is especially concerning as freshwater scarcity is rapidly becoming a pressing challenge.
This rising demand for energy and water is not just a technical challenge—it’s an environmental one that requires urgent attention. As generative AI continues to expand, it is essential to understand and address these inefficiencies. On this Substack, we hope to:
Explore the inefficiencies and environmental impacts throughout the lifecycle of AI models
Synthesize the latest research and news on generative AI and sustainability and share our own cutting-edge work in this space.
Foster discussion and action around making AI not just smarter but more sustainable.
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