Will AI replace Air Traffic Controllers?
AI can do 64% of the work Air Traffic Controllers do at least twice as fast. Real use has not caught up: none of their tasks show up in real AI use yet, but AI could speed up 14 of them. 9 still need a person.
AI is already doing this0 · 0% of time
People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.
- Real AI use has not reached any of this job's tasks yet.
AI could do this next14 · 64% of time
AI can speed these up by at least half, but real use has not caught up yet. These are next in line.
- Monitor aircraft within a specific airspace, using radar, computer equipment, or visual references.14% of time
- Inform pilots about nearby planes or potentially hazardous conditions, such as weather, speed and direction of wind, or visibility problems.8% of time
- Issue landing and take-off authorizations or instructions.7% of time
- Transfer control of departing flights to traffic control centers and accept control of arriving flights.7% of time
- Maintain radio or telephone contact with adjacent control towers, terminal control units, or other area control centers to coordinate aircraft movement.6% of time
- Contact pilots by radio to provide meteorological, navigational, or other information.6% of time
- Check conditions and traffic at different altitudes in response to pilots' requests for altitude changes.3% of time
- Relay air traffic information, such as courses, altitudes, or expected arrival times, to control centers.3% of time
- Compile information about flights from flight plans, pilot reports, radar, or observations.3% of time
- Organize flight plans or traffic management plans to prepare for planes about to enter assigned airspace.3% of time
- Alert airport emergency services in cases of emergency or when aircraft are experiencing difficulties.1% of time
- Analyze factors such as weather reports, fuel requirements, or maps to determine air routes.1% of time
- Review records or reports for clarity and completeness and maintain records or reports, as required under federal law.1% of time
- Complete daily activity reports and keep records of messages from aircraft.1% of time
Still needs a person9 · 36% of time
No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.
- Monitor or direct the movement of aircraft within an assigned air space or on the ground at airports to minimize delays and maximize safety.14% of time
- Direct pilots to runways when space is available or direct them to maintain a traffic pattern until there is space for them to land.6% of time
- Direct ground traffic, including taxiing aircraft, maintenance or baggage vehicles, or airport workers.4% of time
- Determine the timing or procedures for flight vector changes.4% of time
- Provide on-the-job training to new air traffic controllers.4% of time
- Provide flight path changes or directions to emergency landing fields for pilots traveling in bad weather or in emergency situations.1% of time
- Inspect, adjust, or control radio equipment or airport lights.1% of time
- Conduct pre-flight briefings on weather conditions, suggested routes, altitudes, indications of turbulence, or other flight safety information.1% of time
- Initiate or coordinate searches for missing aircraft.under 1% of time
Your week is not the average
Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.
What this means
AI can do most of this work faster, but a real part of the job still needs a person. Real use is still behind at 0 out of 100, so the change here is only getting started. The people who learn which tasks to hand off will pull ahead.
What to do next
- Get ahead on the 14 tasks AI could do next. These move as tools improve, so learning them early pays off.
- Build on the 9 tasks that stay human. This is where your judgment, skill and relationships matter most.
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