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New research released by Github details the potential economic impact and productivity benefits of generative AI .

GitHub conducted the research with analyst firm Keystone . AI and Harvard Business School professor Marco Iansiti with the intention of exploring the immediate and long-term impact generative AI will have on developer productivity , the global economy and the open source ecosystem . Overall , the research found that AI developer productivity benefits could boost global GDP by over $ 1.5 trillion by 2030 .

GitHub Copilot has been activated by more than one million developers and adopted by over 20,000 organizations . It has generated over three billion accepted lines of code and can claim to be the world ’ s most widely adopted AI developer tool .

Analysis on a large sample of GitHub Copilot users reveals a sizable productivity impact . On average , within the first year in the market , users accept nearly 30 % of code suggestions from GitHub Copilot and report increased productivity from these acceptances .

GitHub found that over time , the acceptance rate steadily increased as developers became more familiar with the tool . This suggests that GitHub Copilot has a large runway to continue its impact on developer productivity as users become more accustomed to developing software with it .

The research says that using the 30 % productivity enhancement , with a projected number of 45 million professional developers in 2030 , generative AI developer tools could add productivity gains of an additional 15 million “ effective developers ” to worldwide capacity by 2030 . This could boost global GDP by over $ 1.5

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