EXPOSURE TO AI
41%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
4%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.
41% 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
- Participate in continuing education to stay abreast of industry trends and developments
- Inform management about problems, such as employee disputes
- Assign work schedules, following work requirements, to ensure quality and timely delivery of service
- Resolve customer complaints regarding worker performance or services rendered
- Recruit and hire staff members
WHAT IT STILL CAN’T
- Train workers in proper operational procedures and functions and explain company policies
- Inspect work areas or operating equipment to ensure conformance to established standards in areas such as cleanliness or maintenance
- Meet with managers or other supervisors to stay informed of changes affecting operations
- Take disciplinary action to address performance problems
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 41% 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