OBSERVED IN REAL USE · Anthropic 2026
12%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Mostly fireproof. AI hands you the paperwork and steps back.
22% 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. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Respond to passengers' questions, requests, or complaints
- Greet passengers boarding transportation equipment and announce routes and stops
- Provide customers with information on routes, gates, prices, timetables, terminals, or concourses
- Count and verify tickets and seat reservations and record numbers of passengers boarding and disembarking
WHAT IT STILL CAN’T
- Secure passengers for transportation by buckling seatbelts or fastening wheelchairs with tie-down straps
- Provide boarding assistance to elderly, sick, or injured people
- Determine or facilitate seating arrangements
- Perform equipment safety checks prior to departure
- Issue and collect passenger boarding passes and transfers, tearing or punching tickets as necessary to prevent reuse
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 22% 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