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.
55% 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
- Write letters related to labor relations activities, such as letters to amend collective bargaining agreements, letters of dispute or conciliation, or letters to seek clarification of contract terms
- Draft contract proposals or counter-proposals for collective bargaining or other labor negotiations
- Interpret contractual agreements for employers and employees engaged in collective bargaining or other labor relations processes
- Draft rules or regulations to govern collective bargaining activities in collaboration with company, government, or employee representatives
- Prepare and submit required governmental reports or forms related to labor relations matters, such as equal employment opportunity (EEO) forms, new hire forms, or minority compensation reports
WHAT IT STILL CAN’T
- Call or meet with union, company, government, or other interested parties to discuss labor relations matters, such as contract negotiations or grievances
- Train managers or supervisors on topics related to labor relations, such as working conditions, safety, or equal opportunity practices
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 55% 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