Will AI replace Air Traffic Controllers?

Some of your tasks will be automated. People who use AI will have the edge.

Task exposure to today's AI

32/100

Moderate exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Air Traffic Controllers?

Not entirely. Today's AI tools can take on about 32% of the typical work in this occupation, mostly: transfer control of departing flights to traffic control centers and accept control of arriving flights. The parts that stay human include: Monitor or direct the movement of aircraft within an assigned air space or on the ground at airports to minimize delays and maximize safety.; Monitor aircraft within a specific airspace, using radar, computer equipment, or visual references.; Direct pilots to runways when space is available or direct them to maintain a traffic pattern until there is space for them to land..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable

Transfer control of departing flights to traffic control centers and accept control of arriving flights. 42%

Monitor aircraft within a specific airspace, using radar, computer equipment, or visual references. 40%

Inform pilots about nearby planes or potentially hazardous conditions, such as weather, speed and direction of wind, or visibility problems. 40%

Contact pilots by radio to provide meteorological, navigational, or other information. 40%

Issue landing and take-off authorizations or instructions. 35%

Monitor or direct the movement of aircraft within an assigned air space or on the ground at airports to minimize delays and maximize safety. 15%

+ 17 more tasks (44% of the week) in the full test.

Your human edge

Monitor or direct the movement of aircraft within an assigned air space or on the ground at airports to minimize delays and maximize safety.
Monitor aircraft within a specific airspace, using radar, computer equipment, or visual references.
Direct pilots to runways when space is available or direct them to maintain a traffic pattern until there is space for them to land.

AI tools to try

Route and fleet appsWarehouse and logistics systemsChatGPT / Claude for reports and messages

Related roles

A 3-phase AI learning plan

Phase 1

AI for planning and reports

Routes, schedules and loads with planning apps.
Delivery reports and customer messages.
Rules and documents explained, checked in the source.

Project

Use AI to draft and fact-check a one-page shift brief on local procedures (noise abatement, runway config rules) against the official letter of agreement, citing every paragraph, and time the saving versus manual.

Phase 2

Work with automated systems

How warehouse and fleet systems make decisions.
Exceptions: when to override the system.
Safety with automated vehicles and robots.

Project

Keep a two-week log of 20 conflict alerts or arrival-sequencing suggestions from your automated tools, recording when you accepted or overrode each and why, then summarise the override patterns with AI.

Phase 3

Move toward coordination

Dispatching, planning or logistics coordination.
Data and spreadsheets with AI help.
Licences and certificates for new equipment.

Project

Build an AI-assisted spreadsheet of one month of your sector's delay and traffic-count data, and propose two sequencing or flow changes with before/after estimated delay minutes.

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