EXPOSURE TO AI
35%
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.
Half in the fire, half out. Choose which half you become.
35% 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
- Explain rules and regulations of facilities and entertainment attractions to customers
- Talk to coworkers using electronic devices, such as computers and radios
- Write budgets to plan recreational activities or programs
- Assign tasks and work hours to staff
- Calculate and record department expenses and revenue
WHAT IT STILL CAN’T
- Administer first aid in emergency situations
- Clean equipment and areas of amusement park, cruise ship, or other recreational facility
- Inspect equipment, such as rides, games, and vehicles, to detect wear and damage
- Operate, drive, or explain the use of mechanical equipment in amusement parks, cruise ships, or other recreational facilities
- Plan, organize, or lead group activities for customers, such as exercise routines, athletic events, or arts and crafts
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 35% 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