EXPOSURE TO AI
48%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
48% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Conduct exit interviews to identify reasons for employee termination
- Serve as a link between management and employees by handling questions, interpreting and administering contracts and helping resolve work-related problems
- Advise managers on organizational policy matters, such as equal employment opportunity and sexual harassment, and recommend needed changes
- Analyze and modify compensation and benefits policies to establish competitive programs and ensure compliance with legal requirements
- Negotiate bargaining agreements and help interpret labor contracts
WHAT IT STILL CAN’T
- Represent organization at personnel-related hearings and investigations
- Plan and conduct new employee orientation 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 48% 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