EXPOSURE TO AI
38%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
2%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
38% 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
- Answer telephone inquiries, referring callers to pharmacist when necessary
- Prepare prescription labels by typing or operating a computer and printer
- Calculate anticipated drug usage for a prescribed period
- Perform clerical tasks, such as filing, compiling and maintaining prescription records, or composing letters
- Prepare, maintain, and record records of inventories, receipts, purchases, or deliveries, using a variety of computer screen formats
WHAT IT STILL CAN’T
- Greet customers and help them locate merchandise
- Operate cash register to process cash or credit sales
- Unpack, sort, count, and label incoming merchandise, including items requiring special handling or refrigeration
- Restock storage areas, replenishing items on shelves
- Maintain and clean equipment, work areas, or shelves
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 38% 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