Will AI replace Airfield Operations Specialists?
AI can do 65% of the work Airfield Operations Specialists do at least twice as fast. People already use it for 1 of their 27 tasks, while 18 more are ready but barely used so far. Robots can technically handle 1 physical task. 7 still need a person.
AI is already doing this1 · 4% of time
People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.
- Provide aircrews with information and services needed for airfield management and flight planning.Mostly automated4% of time
AI could do this next18 · 61% of time
AI can speed these up by at least half, but real use has not caught up yet. These are next in line.
- Implement airfield safety procedures to ensure a safe operating environment for personnel and aircraft operation.7% of time
- Perform and supervise airfield management activities, including mobile airfield management functions.7% of time
- Coordinate communications between air traffic control and maintenance personnel.6% of time
- Coordinate with agencies, such as air traffic control, civil engineers, or command posts, to ensure support of airfield management activities.5% of time
- Maintain flight and event logs, air crew flying records, and flight operations records of incoming and outgoing flights.5% of time
- Maintain air-to-ground and point-to-point radio contact with aircraft commanders.4% of time
- Relay departure, arrival, delay, aircraft and airfield status, and other pertinent information to upline controlling agencies.4% of time
- Receive, transmit, and control message traffic.4% of time
- Receive and post weather information and flight plan data, such as air routes or arrival and departure times.4% of time
- Plan and coordinate airfield construction.2% of time
- Procure, produce, and provide information on the safe operation of aircraft, such as flight planning publications, operations publications, charts and maps, or weather information.2% of time
- Coordinate with agencies to meet aircrew requirements for billeting, messing, refueling, ground transportation, and transient aircraft maintenance.2% of time
- Coordinate changes to flight itineraries with appropriate Air Traffic Control (ATC) agencies.2% of time
- Initiate or conduct airport-wide coordination of snow removal on runways and taxiways.2% of time
- Collaborate with others to plan flight schedules and air crew assignments.1% of time
- Anticipate aircraft equipment needs for air evacuation and cargo flights.1% of time
- Post visual display boards and status boards.1% of time
- Check military flight plans with civilian agencies.1% of time
Robots can technically do this1 · 5% of time
Physical tasks that today's robots can perform in at least some settings. Robots are cost competitive for very few tasks so far, so this change moves slower.
- Conduct inspections of the airport property and perimeter to maintain controlled access to airfields.Robots: structured workplaces5% of time
Still needs a person7 · 30% 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.
- Inspect airfield conditions to ensure compliance with federal regulatory requirements.10% of time
- Monitor the arrival, parking, refueling, loading, and departure of all aircraft.7% of time
- Use airfield landing and navigational aids and digital data terminal communications equipment to perform duties.4% of time
- Train operations staff.2% of time
- Conduct departure and arrival briefings.2% of time
- Assist in responding to aircraft and medical emergencies.2% of time
- Manage wildlife on and around airport grounds.2% 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 4 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
- Do the 1 task AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
- Get ahead on the 18 tasks AI could do next. These move as tools improve, so learning them early pays off.
- Keep an eye on the 1 physical task robots can technically do. Cost keeps most robots out of work today, so this shift is slower.
- Build on the 7 tasks that stay human. This is where your judgment, skill and relationships matter most.
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