OBSERVED IN REAL USE · Anthropic 2026
16%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The model already does most of this before its first coffee.
79% 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
- Input data, such as file numbers, new or updated information, or document information codes into computer systems to support document and information retrieval
- Perform general office activities, such as typing, answering telephones, operating office machines, processing mail, or securing confidential materials
- Sort or classify information according to guidelines, such as content, purpose, user criteria, or chronological, alphabetical, or numerical order
- Answer questions about records or files
- Keep records of materials filed or removed, using logbooks or computers and generate computerized reports
WHAT IT STILL CAN’T
- Place materials into storage receptacles, such as file cabinets, boxes, bins, or drawers, according to classification and identification information
- Operate mechanized files that rotate to bring needed records to a particular location
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 79% 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