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Comparison · dataset August 2026

Air Traffic Controller vs Commercial Pilot: which is more exposed to AI?

Air Traffic Controller carries 12 points more AI exposure than Commercial Pilot.

Air Traffic Controller sits at 48% time-weighted AI exposure against 36% for Commercial Pilot, a 12-point gap driven by the 0% of air traffic controller work time that current models can already substitute outright. Commercial Pilot holds a larger human-critical core — 56% of the role's time sits in work like "emergency and non-normal procedures" that models score poorly on. Both roles sit inside Transportation, so the exposure difference reflects task design rather than a change of field.

12PP GAP

Seven dimensions, side by side.

METRICAIR TRAFFIC CONTROLLERCOMMERCIAL PILOTDELTA
AI exposure48%36%12pp gap
Resilience score76/10080/1004pt gap
Substitutable work time0%0%Fully automatable today
Human-critical work time42%56%Models score poorly here
Median salary$138k$148k$10k apart
10-year growth1%3%Commercial Pilot
US workforce24k128kBLS OEWS
Task level

What actually creates the gap.

Both roles hand a similar slice of the week to substitutable work — 0% for Air Traffic Controllers, 0% for Commercial Pilots — but it is different work. Air Traffic Controller exposure concentrates in "generate conflict alerts and advisories"; Commercial Pilot exposure concentrates in "flight planning and route optimisation". Two roles can share a score and face completely different disruption timelines.

Air Traffic Controller
MOST EXPOSED TASKS
    HUMAN-CRITICAL CORE
    • Handle emergencies and abnormal situations6% · 14% time
    • Maintain situational awareness under load10% · 2% time
    • Coordinate with pilots and other sectors14% · 8% time
    Commercial Pilot
    MOST EXPOSED TASKS
      HUMAN-CRITICAL CORE
      • Emergency and non-normal procedures6% · 16% time
      • Manual flight operations14% · 24% time
      • Crew and passenger communication18% · 10% time
      What transfers

      Both roles lean on procedural, judgement, cognitive — that is the part of your experience that travels intact. The real divide is manual: Commercial Pilots score 82 there against 28 for Air Traffic Controllers, a 54-point spread. That is the gap you would actually have to close.

      DIMENSIONAIR TRAFFIC CONTROLLERCOMMERCIAL PILOT
      Manual2882
      Switching between them
      ModerateDIFFICULTY

      Commercial Pilot appears in our dataset as a mapped adjacent career for Air Traffic Controllers: the move lowers exposure by 12 points, landing at 36%. Switch difficulty reads moderate — capability profiles are 23 points apart on average and both sit in the same family.

      Score your own exposure in 8 questions →

      Common questions.

      Is Air Traffic Controller or Commercial Pilot more at risk from AI?

      Air Traffic Controller. It scores 48% time-weighted AI exposure against 36% for Commercial Pilot — a 12-point gap. 0% of air traffic controller work time is already fully substitutable by current models, versus 0% for Commercial Pilots.

      Which pays more, Air Traffic Controller or Commercial Pilot?

      Commercial Pilot, by roughly $10k at the median ($148k versus $138k). Note that the higher-paying role here is also the less AI-exposed one, which matters if you are weighing pay against durability.

      Can a air traffic controller switch to being a commercial pilot?

      Commercial Pilot appears in our dataset as a mapped adjacent career for Air Traffic Controllers: the move lowers exposure by 12 points, landing at 36%. Switch difficulty reads moderate — capability profiles are 23 points apart on average and both sit in the same family.

      Which role is growing faster, Air Traffic Controller or Commercial Pilot?

      Commercial Pilot, at 3% projected ten-year growth versus 1% — a 2-point difference. Growth and AI exposure are separate signals: a role can grow in headcount while the content of the work is substantially rewritten.

      Career families
      Transportation
      Methodology
      Scores are time-weighted across each role's canonical O*NET tasks, graded against current frontier-model capability. How we score.