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EXPOSURE TO AI
35%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
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.

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
  • Record in log books information, such as flight times, distances flown, and fuel consumption
  • Make announcements regarding flights, using public address systems
  • Respond to and report in-flight emergencies and malfunctions
  • Contact control towers for takeoff clearances, arrival instructions, and other information, using radio equipment
  • Monitor engine operation, fuel consumption, and functioning of aircraft systems during flights
WHAT IT STILL CAN’T
  • Start engines, operate controls, and pilot airplanes to transport passengers, mail, or freight, adhering to flight plans, regulations, and procedures
  • Work as part of a flight team with other crew members, especially during takeoffs and landings
  • Inspect aircraft for defects and malfunctions, according to pre-flight checklists
  • Monitor gauges, warning devices, and control panels to verify aircraft performance and to regulate engine speed
  • Steer aircraft along planned routes, using autopilot and flight management computers
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.
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