US starting to witness heavy job losses in occupations exposed to AI - Business Standard

2026-05-16 · Source: artifical intelligence via Google News · Field: Business & Management — Human Resources & Workforce Development, Corporate Strategy & Leadership · Depth: Fundamental Awareness, quick

Summary

US occupations identified as highly exposed to artificial intelligence experienced significant job losses for the second consecutive year through May 2025. A group of 18 such occupations, representing approximately 10 million jobs, saw a 0.2% employment decline between May 2024 and May 2025, contrasting with an overall US employment increase of 0.8%. Excluding medical secretaries and assistants, the remaining 17 occupations recorded a 1.6% drop. Specific roles heavily impacted include customer service representatives (down 4.8% or 130,180 jobs), non-medical secretaries and assistants (down 1.8% or 31,030 jobs), and wholesale and manufacturing sales representatives (down 2.3% or 28,670 jobs). Since May 2022, credit authorizers, broadcast announcers, and sales engineers have seen declines of 26.2%, 20.8%, and 13.2% respectively.

Key takeaway

For executives evaluating workforce planning and automation strategies, these job loss trends in AI-exposed roles signal a need to proactively assess your organization's susceptibility to AI-driven displacement. You should prioritize reskilling initiatives for roles at high risk of automation and explore how AI augmentation can create new opportunities or enhance existing positions, rather than solely focusing on cost-cutting through job elimination.

Key insights

AI deployment is beginning to reshape US employment patterns, particularly in exposed occupations.

Principles

• AI exposure correlates with job decline.
• AI augmentation may buffer job losses.

In practice

• Identify roles susceptible to AI substitution.
• Monitor job openings in AI-exposed sectors.

Topics

• AI Job Displacement
• US Labor Market
• Occupational Employment Statistics
• Bureau of Labor Statistics
• Goldman Sachs Economic Analysis

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Executive, Policy Maker, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.