AI Eliminating 16,000 U.S. Jobs Every Month, Goldman Sachs Reports

Key Takeaways

• AI cuts ~16,000 U.S. jobs monthly, net loss.
• Substitution removes 25k jobs; augmentation adds 9k.
• Gen Z entry-level workers face largest wage, unemployment gaps.
• Future AI hiring may offset losses via infrastructure and productivity.

Pulse Analysis

Goldman Sachs’ latest U.S. Daily note provides one of the most granular looks at artificial intelligence’s dual impact on employment. By pairing AI exposure scores with an IMF‑derived complementarity index, the firm isolates a substitution effect that wipes out roughly 25,000 jobs each month and an augmentation effect that adds about 9,000. The net loss of 16,000 positions translates into a measurable drag on the labor market, especially in routine, white‑collar roles where algorithms can replicate core tasks.

The research highlights a stark generational divide. Gen Z workers, who dominate entry‑level, data‑entry, and customer‑service occupations, experience a widening unemployment gap and a 3.3‑percentage‑point increase in the entry‑level‑to‑experienced wage differential for each standard‑deviation rise in AI substitution risk. This structural vulnerability suggests that without targeted reskilling, younger talent may face prolonged career setbacks, while seasoned professionals retain a buffer of judgment‑heavy tasks less prone to automation.

Goldman’s analysts temper the headline‑grabbing loss figures by noting offsetting hiring in AI‑related infrastructure—data centers, power systems, and construction—and the longer‑term productivity gains that can expand markets and create new roles. For businesses, the findings underscore the urgency of integrating AI literacy into talent development pipelines and rethinking workforce composition. Policymakers, too, may need to consider transitional support mechanisms to bridge the short‑term displacement while fostering the skill sets that will power the next wave of AI‑driven growth.