Nela Richardson has a rare window into how AI is changing work. Her 3 takeaways should make you excited—or very frightened
Nela Richardson, ADP's chief economist, provides insights into how AI is reshaping white-collar work. She argues that the traditional understanding of jobs is outdated, as work will increasingly be defined by specific tasks rather than job titles. Her research indicates that white-collar jobs are declining due to historical shifts rather than solely AI advancements.
- ▪Richardson's project aims to measure the labor market by the creation and destruction of individual tasks within jobs.
- ▪The historical growth of white-collar jobs is unwinding, influenced by the expansion of the internet and digital jobs.
- ▪ADP's data shows a shift in employment composition, with administrative roles declining and technical roles increasing.
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The debate about what AI is doing to white-collar work has been loud, contentious, and — if you talk to Nela Richardson — almost entirely about the wrong thing.Recommended Video Richardson is ADP’s chief economist, which means she sits atop one of the most complete real-time pictures of American work that exists — payroll data, job postings, and wage records, covering roughly one in six U.S. workers. She is also running what she calls “the great job unbundling,” a project launched this past January at Davos in partnership with the Stanford Digital Economy Lab and its resident AI thought leader, Erik Brynjolfsson. “In the age of AI,” as Richardson has written, “work won’t be defined by job titles.
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