"In the 33 months since the launch of ChatGPT and the explosion of generative AI there has been a lot of speculation about its impact on the future of work. While tech companies like Salesforce, Klarna, and Duolingo have talked up their use of generative AI to cut headcount - not to mention OpenAI's CEO Sam Altman's proclamations on the subject - in the broader context of the US labor market it has failed to have any meaningful impact, according to new research from Yale."
"Looking at the change in occupational mix - whether someone has moved jobs, left employment, or entered employment - the rate of change is slightly higher since the launch of ChatGPT compared to computers and the internet but by less than one percentage point. Are some jobs more influenced by generative AI than others? There is some variation by business vertical, however. The Yale researchers identified three areas that are more exposed to generative AI than others: financial services, information, and professional and business services."
The pace of occupational change in the 33 months since ChatGPT's launch is slightly higher than during the early desktop and internet periods, but the difference is under one percentage point. Overall economy-wide employment effects remain minimal. Sectoral variation exists: the information sector saw the largest shift, approaching a 14% change in employment mix by 32 months post-launch versus a baseline just over 4%. Professional and business services shifted about 6.5% and financial activities about 8.5%. Some tech firms report headcount reductions tied to generative AI, but those effects are not broadly evident across the labor market. Caution is advised against attributing observed changes solely to generative AI.
Read at IT Pro
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