{"id":192557,"date":"2024-07-08T20:22:52","date_gmt":"2024-07-09T01:22:52","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/07\/how-companies-can-mitigate-ais-growing-environmental-footprint"},"modified":"2024-07-08T20:22:52","modified_gmt":"2024-07-09T01:22:52","slug":"how-companies-can-mitigate-ais-growing-environmental-footprint","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/07\/how-companies-can-mitigate-ais-growing-environmental-footprint","title":{"rendered":"How Companies Can Mitigate AI\u2019s Growing Environmental Footprint"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/how-companies-can-mitigate-ais-growing-environmental-footprint2.jpg\"><\/a><\/p>\n<p>As artificial intelligence (AI) becomes increasingly ubiquitous in business and governance, its substantial environmental impact \u2014 from significant increases in energy and water usage to heightened carbon emissions \u2014 cannot be ignored. By 2030, AI\u2019s power demand is expected to rise by 160%. However, adopting more sustainable practices, such as utilizing foundation models, optimizing data processing locations, investing in energy-efficient processors, and leveraging open-source collaborations, can help mitigate these effects. These strategies not only reduce AI\u2019s environmental footprint but also enhance operational efficiency and cost-effectiveness, balancing innovation with sustainability.<\/p>\n<p>Page-utils class= article-utils\u2014vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007\/03\/31:999.386782 data-title= How Companies Can Mitigate AI\u2019s Growing Environmental Footprint data-url=\/2024\/07\/how-companies-can-mitigate-ais-growing-environmental-footprint data-topic= Environmental sustainability data-authors= Christina Shim data-content-type= Digital Article data-content-image=\/resources\/images\/article_assets\/2024\/06\/Jul24_04_1298348302-383x215.jpg data-summary=<\/p>\n<p>Practical steps for reducing AI\u2019s surging demand for water and energy.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>As artificial intelligence (AI) becomes increasingly ubiquitous in business and governance, its substantial environmental impact \u2014 from significant increases in energy and water usage to heightened carbon emissions \u2014 cannot be ignored. By 2030, AI\u2019s power demand is expected to rise by 160%. However, adopting more sustainable practices, such as utilizing foundation models, optimizing data [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[43,1759,6,17],"tags":[],"class_list":["post-192557","post","type-post","status-publish","format-standard","hentry","category-business","category-governance","category-robotics-ai","category-sustainability"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/192557","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=192557"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/192557\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=192557"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=192557"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=192557"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}