OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The robots can help. They can’t replace the room you read.
32% 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. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Maintain records of machine maintenance and repair
- Record transaction information on forms or logs, and notify designated personnel of discrepancies
- Order parts needed for machine repairs
- Keep records of merchandise distributed and money collected
- Prepare repair cost estimates
WHAT IT STILL CAN’T
- Fill machines with products, ingredients, money, and other supplies
- Inspect machines and meters to determine causes of malfunctions and fix minor problems such as jammed bills or stuck products
- Test machines to determine proper functioning
- Replace malfunctioning parts, such as worn magnetic heads on automatic teller machine (ATM) card readers
- Clean and oil machine parts
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 32% 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