EXPOSURE TO AI
14%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Robots can’t hold a hand, a scalpel, or your nerve.
14% 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. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Assist patrons by giving directions to points in or outside of the facility or providing information about local attractions
- Manage inventory or sale of artist merchandise
- Schedule or manage staff, such as volunteer usher corps
- Examine tickets or passes to verify authenticity, using criteria such as color or date issued
WHAT IT STILL CAN’T
- Greet patrons attending entertainment events
- Sell or collect admission tickets, passes, or facility memberships from patrons at entertainment events
- Clean facilities
- Settle seating disputes or help solve other customer concerns
- Provide assistance with patrons' special needs, such as helping those with wheelchairs
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 14% 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