OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The machines are eyeing your desk.
51% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Direct preparation and distribution of written and verbal information to inform employees of benefits, compensation, and personnel policies
- Prepare detailed job descriptions and classification systems and define job levels and families, in partnership with other managers
- Conduct exit interviews to identify reasons for employee termination
- Design, evaluate, and modify benefits policies to ensure that programs are current, competitive, and in compliance with legal requirements
- Analyze compensation policies, government regulations, and prevailing wage rates to develop competitive compensation plan
WHAT IT STILL CAN’T
- Plan, direct, supervise, and coordinate work activities of subordinates and staff relating to employment, compensation, labor relations, and employee relations
- Represent organization at personnel-related hearings and investigations
- Plan and conduct new-employee orientations to foster positive attitude toward organizational objectives
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 51% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16