OBSERVED IN REAL USE · Anthropic 2026
75%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Well done. And by that we mean: cooked.
95% 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
- Write, analyze, review, and rewrite programs, using workflow chart and diagram, and applying knowledge of computer capabilities, subject matter, and symbolic logic
- Correct errors by making appropriate changes and rechecking the program to ensure that the desired results are produced
- Perform or direct revision, repair, or expansion of existing programs to increase operating efficiency or adapt to new requirements
- Write, update, and maintain computer programs or software packages to handle specific jobs such as tracking inventory, storing or retrieving data, or controlling other equipment
- Conduct trial runs of programs and software applications to be sure they will produce the desired information and that the instructions are correct
WHAT IT STILL CAN’T
- Almost nothing here is clearly out of reach. That’s the warning in this one.
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 95% 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