Goldman Sachs analysts, including those from its Global Economics team, authored the report, building on prior estimates of AI displacing 7% of US workers or 300 million jobs globally over 10 years, with recent US impacts in tech, knowledge, and creative sectors like management consulting and design.[1][3][5]
The report draws context from historical technology waves (e.g., automation, ICT), where displaced workers endured "scarring effects" but could mitigate losses via retraining, yielding 2% higher wage growth and 10% lower unemployment over 10 years; AI accelerates this amid ongoing job cuts slashing US payroll growth by 16,000 monthly.[1][2][7]
Newsworthy now due to fresh longitudinal evidence of AI's outsized wage penalties versus past disruptions, amid visible layoffs and AI adoption surges, highlighting policy needs for retraining as infrastructure jobs (e.g., 500,000 for data centers by 2030) emerge but mismatch displaced knowledge workers.[1][3][5]