EXPOSURE TO AI
37%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
n/a
Not yet measured in the Anthropic Economic Index. The exposure figure is a capability estimate only.
The boring parts are leaving. The judgment stays.
37% 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
- Maintain or verify records of time, materials, expenditures, or crew activities
- Interpret transportation or tariff regulations, shipping orders, safety regulations, or company policies and procedures for workers
- Prepare, compile, and submit reports on work activities, operations, production, or work-related accidents
- Plan work assignments and equipment allocations to meet transportation, operations or production goals
- Review orders, production schedules, blueprints, or shipping or receiving notices to determine work sequences and material shipping dates, types, volumes, or destinations
WHAT IT STILL CAN’T
- Enforce safety rules and regulations
- Confer with customers, supervisors, contractors, or other personnel to exchange information or to resolve problems
- Drive vehicles or operate machines or equipment to complete work assignments or to assist workers
- Resolve worker problems or collaborate with employees to assist in problem resolution
- Perform or schedule repairs or preventive maintenance of vehicles or other equipment
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 37% 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