By Dr. Gleb Tsipursky
Pennsylvania now has more than 3,000 Commonwealth employees across 35 agencies using generative AI in daily work. That scale makes a second performance measure urgent.
Stanford’s August 12 update found that U.S. workers ages 22-25 in highly AI-exposed occupations were about 19% below the employment path of similarly aged workers in less-exposed occupations by June 2026, with weaker hiring doing most of the adjustment.
Government agencies should keep measuring hours saved, but add time to independent judgment. When AI prepares a first draft, summarizes a case file or organizes routine material, newer employees should spend more time checking evidence, handling exceptions and explaining decisions under experienced review.
A supervisor can track whether an employee catches flawed AI output, escalates the right cases and needs less review after 30, 60 and 90 days. That turns AI from a tool for reducing administrative labor into a tool for building stronger public servants faster.
Efficiency matters. Pennsylvania also needs the next generation of employees who can exercise judgment when the software reaches its limits.
Gleb Tsipursky, PhD, is a behavioral scientist, CEO of Disaster Avoidance Experts, and author of The Psychology of AI Adoption at Work: From Resistance to Results (Georgetown University Press, 2026). https://disasteravoidanceexperts.com/aibook
