OBSERVED IN REAL USE · Anthropic 2026
12%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Well done. And by that we mean: cooked.
80% 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 programs in the language of a machine's controller and store programs on media, such as punch tapes, magnetic tapes, or disks
- Determine the sequence of machine operations, and select the proper cutting tools needed to machine workpieces into the desired shapes
- Revise programs or tapes to eliminate errors, and retest programs to check that problems have been solved
- Write instruction sheets and cutter lists for a machine's controller to guide setup and encode numerical control tapes
- Enter computer commands to store or retrieve parts patterns, graphic displays, or programs that transfer data to other media
WHAT IT STILL CAN’T
- Perform preventative maintenance or minor repairs on machines
- Align and secure pattern film on reference tables of optical programmers, and observe enlarger scope views of printed circuit boards
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 80% 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