OBSERVED IN REAL USE · Anthropic 2026
6%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Well done. And by that we mean: cooked.
68% 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. Deeply cooked. Almost the entire task list is something a model can already attempt.
WHAT AI CAN ALREADY DO
- Interpret and explain information such as eligibility requirements, application details, payment methods, and applicants' legal rights
- Keep records of assigned cases, and prepare required reports
- Answer applicants' questions about benefits and claim procedures
- Compute and authorize amounts of assistance for programs, such as grants, monetary payments, and food stamps
- Prepare applications and forms for applicants for such purposes as school enrollment, employment, and medical services
WHAT IT STILL CAN’T
- Conduct annual, interim, and special housing reviews and home visits to ensure conformance to regulations
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 68% 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