Stanford's Digital Economy Lab put its hidden-displacement thesis onto a live public dashboard in June, a platform it calls AI Economic Indicators. The lab, directed by economist Erik Brynjolfsson, built it to update continuously rather than arrive as an occasional working paper.1
Brynjolfsson has argued that AI suppresses roughly 34 hires for every layoff it is blamed for, meaning hires never made and roles never opened rather than staff visibly sacked, close to one million vanished openings a year. For a graduate job-hunting now, that shows up as an offer that never comes, but rarely as a layoff notice.
The Bureau of Labor Statistics (BLS), the federal agency that would normally measure this, has not published a generative-AI workforce series, yet a private lab is now updating faster than the government does. The New York Fed had earlier found displacement evidence predating ChatGPT; Stanford's dashboard now tracks the same signal in near real time.
