"In a paper released Tuesday, Brynjolfsson and two other Stanford researchers gave the AI and work discourse some much-needed clarity. Using a massive and recent trove of data, they showed that 22- to 25-year-olds in fields that are particularly exposed to AI are, indeed, having a harder time getting work than their older or less exposed counterparts. The paper dubs this cohort the "canaries in the coal mine" - potential harbingers of larger impacts if AI tools continue to improve."
"For the research, Brynjolfsson, Bharat Chandar and Ruyu Chen used millions of payroll records from software giant ADP, with data as recent as July. To get a granular view of AI's impacts, they carved the records up by workers' age groups and occupations, using previous research that determined which jobs are more replaceable by AI. The researchers' new results, Chandar told SFGATE, "stunned" the team."
"The researchers discovered that in fields where AI can automate more roles, like software development and customer service, employment for 22- to 25-year-olds has fallen since late 2022. But in fields less exposed to AI, like health aide, employment for the same age group has jumped since late 2022. That divide wasn't significant for older workers, the trio wrote."
Millions of payroll records from ADP, with data as recent as July, were analyzed and segmented by workers' age groups and occupations using prior measures of jobs' exposure to AI. Employment trends for 22- to 25-year-olds diverged by occupational AI exposure: declines occurred in highly automatable roles such as software development and customer service, while increases occurred in less-exposed roles such as health aide. The employment divide by exposure was not significant for older workers. The 22- to 25-year-old cohort is characterized as "canaries in the coal mine" for potential broader impacts if AI capabilities continue advancing.
Read at SFGATE
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