OBSERVED IN REAL USE · Anthropic 2026
12%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Still standing — but the ground is warm.
60% 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
- Prepare reports related to investigations of equal opportunity complaints
- Study equal opportunity complaints to clarify issues
- Interpret civil rights laws and equal opportunity regulations for individuals or employers
- Develop guidelines for nondiscriminatory employment practices
- Prepare reports of selection, survey, or other statistics and recommendations for corrective action
WHAT IT STILL CAN’T
- Interview persons involved in equal opportunity complaints to verify case information
- Meet with persons involved in equal opportunity complaints to arbitrate and settle disputes
- Meet with job search committees or coordinators to explain the role of the equal opportunity coordinator, to provide resources for advertising, or to explain expectations for future contacts
- Act as liaisons between minority placement agencies and employers or between job search committees and other equal opportunity administrators
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 60% 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