{"id":993258,"date":"2024-05-02T11:52:24","date_gmt":"2024-05-02T18:52:24","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&p=993258"},"modified":"2024-05-02T11:52:26","modified_gmt":"2024-05-02T18:52:26","slug":"ai-and-productivity-research-initiative","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/ai-and-productivity-research-initiative\/","title":{"rendered":"AI and Productivity Research Initiative"},"content":{"rendered":"\n
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Large language model-powered tools like Copilot have the potential to increase labor productivity more than any technology in a generation. Motivated by the significance of this moment, researchers from across Microsoft have come together to measure and improve the productivity impacts of Copilot, as well as understand and mitigate externalities. <\/p>\n\n\n\n

This group of researchers is part of Microsoft\u2019s broader New Future of Work Initiative (opens in new tab)<\/span><\/a>, which is our research effort to make work better as work rapidly changes, from hybrid work to AI.<\/p>\n\n\n\n

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Read the AI and Productivity Research Report, Edition One<\/a><\/div>\n<\/div>\n\n\n\n
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