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.
20% 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
- Gather information from customers about a timepiece's problems and its service history
- Record quantities and types of timepieces repaired, serial and model numbers of items, work performed, and charges for repairs
- Estimate repair costs and timepiece values
- Order supplies, including replacement parts, for timing instruments
WHAT IT STILL CAN’T
- Clean, rinse, and dry timepiece parts, using solutions and ultrasonic or mechanical watch-cleaning machines
- Adjust timing regulators, using truing calipers, watch-rate recorders, and tweezers
- Reassemble timepieces, replacing glass faces and batteries, before returning them to customers
- Disassemble timepieces and inspect them for defective, worn, misaligned, or rusty parts, using loupes
- Oil moving parts of timepieces
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 20% 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