OBSERVED IN REAL USE · Anthropic 2026
28%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Well done. And by that we mean: cooked.
96% 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
- Maintain files and control records to show correspondence activities
- Compose letters in reply to correspondence concerning such items as requests for merchandise, damage claims, credit information requests, delinquent accounts, incorrect billing, or unsatisfactory service
- Read incoming correspondence to ascertain nature of writers' concerns and to determine disposition of correspondence
- Prepare documents and correspondence, such as damage claims, credit and billing inquiries, invoices, and service complaints
- Gather records pertinent to specific problems, review them for completeness and accuracy, and attach records to correspondence as necessary
WHAT IT STILL CAN’T
- Prepare records for shipment by certified mail
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 96% 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