EXPOSURE TO AI
37%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
5%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
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
- Receive, transmit, and control message traffic
- Maintain air-to-ground and point-to-point radio contact with aircraft commanders
- Maintain flight and event logs, air crew flying records, and flight operations records of incoming and outgoing flights
- Conduct departure and arrival briefings
- Coordinate communications between air traffic control and maintenance personnel
WHAT IT STILL CAN’T
- Assist in responding to aircraft and medical emergencies
- Manage wildlife on and around airport grounds
- Monitor the arrival, parking, refueling, loading, and departure of all aircraft
- Train operations staff
- Implement airfield safety procedures to ensure a safe operating environment for personnel and aircraft operation
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