Stanford, ADP Launch AI Jobs Dashboard Tracking 4 Million Workers
Updated
Updated · adpresearch.com · Jun 16
Stanford, ADP Launch AI Jobs Dashboard Tracking 4 Million Workers
3 articles · Updated · adpresearch.com · Jun 16
Summary
The Canaries Dashboard uses ADP payroll records from 25,000 employers, 4 million workers and more than 730 occupations to track AI-linked hiring and employment shifts in near real time.
Stanford and ADP say the tool can spot changes before they appear in broader labor statistics by slicing jobs by occupation, age and AI-exposure level.
Since ChatGPT’s late-2022 debut, annual employment growth in AI-exposed occupations has risen 1.1%, versus 2% for the least-exposed roles, suggesting aggregate effects remain modest.
Workers aged 22 to 25 show the sharpest divergence: employment in highly AI-exposed occupations is shrinking 3.8% a year, while least-exposed jobs for that cohort are growing 2%.
The dashboard also points to a split between augmentation and automation, with jobs where AI acts as a teammate showing more durable employment growth than roles primed for task automation.
As demand for 'AI skills' drops, what are the new power skills for an AI-augmented workforce?
With AI freezing entry-level jobs, is the traditional career ladder for young people now broken?
AI’s Early Labor Market Signals: Insights from the Stanford & ADP Canaries Dashboard Launch
Overview
The Canaries Dashboard, launched by Stanford and ADP, is a real-time platform that shines a light on how artificial intelligence is changing the U.S. labor market. Developed by the Stanford Digital Economy Lab as part of the AI Economic Indicators initiative, it addresses the gap left by traditional economic statistics, which struggle to keep up with rapid changes brought by AI. By providing timely and regularly updated data on employment, wages, and career mobility, the dashboard helps bridge critical gaps in understanding AI’s impact, making it an essential tool for anyone interested in the future of work.