EXPOSURE TO AI
44%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
44% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Upload into office computers all information collected on hand-held computers during meter rounds, or return route books or hand-held computers to business offices so that data can be compiled
- Leave messages to arrange different times to read meters in cases in which meters are not accessible
- Answer customers' questions about services and charges, or direct them to customer service centers
- Update client address and meter location information
- Read electric, gas, water, or steam consumption meters and enter data in route books or hand-held computers
WHAT IT STILL CAN’T
- Walk or drive vehicles along established routes to take readings of meter dials
- Inspect meters for unauthorized connections, defects, and damage, such as broken seals
- Connect and disconnect utility services at specific locations
- Perform preventative maintenance or minor repairs on meters
- Report to service departments any problems, such as meter irregularities, damaged equipment, or impediments to meter access, including dogs
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 44% 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