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Last August, the Stanford economist, who has been a thought leader on artificial intelligence (AI) for years, made headlines when he and his team published a first-of-its-kind study revealing the AI revolution was already having a “significant and disproportionate impact on entry-level workers in the U.S. labor market,” particularly young people ages 22 to 25 in white-collar fields like software engineering and customer service.
“Our view is that large language model digital agents can effectively do a non-immaterial portion of the work currently provided by 20-30k independent agents across the United States,” the BofA report stated.
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