ADP Payroll Data Shows 4.2% Drop in AI-Exposed Young Worker Employment
ADP•ADP and Stanford Digital Economy Lab introduced a monthly 'canaries dashboard' using anonymized payroll data covering 4.6 million workers at 25,000 firms to track AI’s labor market effects. It shows employment for workers aged 22-25 in AI-exposed roles fell 4.2% year-over-year in April versus a 1.7% drop in less-exposed fields.
1. ADP Launches AI Impact Dashboard
ADP teamed with Stanford Digital Economy Lab to release a monthly 'canaries dashboard' leveraging anonymized payroll data from 4.6 million workers across 25,000 firms, designed to monitor AI exposure across occupations.
2. Early-Career AI-Exposed Jobs Contract
The dashboard data indicates employment for workers aged 22 to 25 in highly AI-vulnerable roles shrank by 4.2% in April year-over-year, signaling material headwinds for entry-level positions in sectors like software development and customer service.
3. Comparison With Less-Exposed Fields
By contrast, similar-aged workers in less-automatable jobs saw a 1.7% employment decline, while overall employment in exposed roles for all ages dipped just 0.2% and non-exposed roles grew 0.1%, highlighting uneven AI impacts.
4. Implications for ADP and Workforce Planning
These granular insights underscore demand for ADP’s advanced analytics tools and suggest young professionals may need to pivot towards roles less susceptible to automation, reinforcing ADP’s strategic value in labor market intelligence.
