OBSERVED IN REAL USE · Anthropic 2026
42%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Well done. And by that we mean: cooked.
100% 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
- Address the relationships of quantities, magnitudes, and forms through the use of numbers and symbols
- Disseminate research by writing reports, publishing papers, or presenting at professional conferences
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences
- Apply mathematical theories and techniques to the solution of practical problems in business, engineering, the sciences, or other fields
- Conduct research to extend mathematical knowledge in traditional areas, such as algebra, geometry, probability, and logic
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 100% 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