OBSERVED IN REAL USE · Anthropic 2026
67%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
You might want to sit down for this one.
89% 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
- Locate and correct data entry errors, or report them to supervisors
- Compile, sort, and verify the accuracy of data before it is entered
- Compare data with source documents, or re-enter data in verification format to detect errors
- Select materials needed to complete work assignments
- Store completed documents in appropriate locations
WHAT IT STILL CAN’T
- Load machines with required input or output media, such as paper, cards, disks, tape, or Braille media
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 89% 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