OBSERVED IN REAL USE · Anthropic 2026
39%
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.
67% 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
- Ask questions in accordance with instructions to obtain various specified information, such as person's name, address, age, religious preference, or state of residency
- Review data obtained from interview for completeness and accuracy
- Compile, record, and code results or data from interview or survey, using computer or specified form
- Identify and resolve inconsistencies in interviewees' responses by means of appropriate questioning or explanation
- Prepare reports to provide answers in response to specific problems
WHAT IT STILL CAN’T
- Supervise or train other staff members
- Meet with supervisor daily to submit completed assignments and discuss progress
- Contact individuals to be interviewed at home, place of business, or field location, by telephone, mail, or in person
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 67% 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