Will AI replace Airfield Operations Specialists?

Not as a job, but it is already doing parts of the work. Across the 27 official task statements scored for Airfield Operations Specialists (United States, SOC 53-2022), 12% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 28 out of 100 (range 22–35, band: low). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

Which tasks in “Airfield Operations Specialists” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Receive and post weather information and flight plan data, such as air routes or arrival and departure times” (81/100, very high); “Maintain flight and event logs, air crew flying records, and flight operations records of incoming and outgoing flights” (81/100, very high); “Procure, produce, and provide information on the safe operation of aircraft, such as flight planning publications, operations publications, charts and maps,…” (66/100, high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.

Which tasks in “Airfield Operations Specialists” stay human?

About 71% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Manage wildlife on and around airport grounds” (0/100, minimal); “Assist in responding to aircraft and medical emergencies” (0/100, minimal); “Perform and supervise airfield management activities, including mobile airfield management functions” (6/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.

What should someone working in “Airfield Operations Specialists” do about AI?

Start from the ledger rather than the headline: 12% of this job's weighted core work is exposed, and roughly 71% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.

How is the AI exposure score for Airfield Operations Specialists calculated?

Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 27 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

US dataswitch to UK

Airfield Operations Specialists

inspecting airfield conditions to ensure compliance with federal regulatory requirements, planning and coordinating airfield construction and monitoring the arrival, parking, refueling, loading and departure of all aircraft. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: assisting in responding to aircraft and medical emergencies is work software can't reach.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 12%
changing shape: 17%
staying human: 71%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 28 out of 100 (22–35 allowing for uncertainty): low exposure, across 27 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.

How we know this

What is measured: Every published task statement for airfield operations specialists is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.

What shifts is receiving, transmiting and controlling message traffic. This page scores what today's tools actually do, not headlines.

Your week, as this page understands it

Ensure the safe takeoff and landing of commercial and military aircraft. Duties include coordination between air-traffic control and maintenance personnel, dispatching, using airfield landing and navigational aids, implementing airfield safety procedures, monitoring and maintaining flight records, and applying knowledge of weather information. The job title says “airfield operations specialists”. The real job is the part underneath: assisting in responding to aircraft and medical emergencies. That is the thing someone has to be right about.

The exposed part of this job is specific, and we won’t pretend it is coming back. But airfield operations specialists is not one task. It is 27 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is assisting in responding to aircraft and medical emergencies, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 12%
changing shape: 17%
staying human: 71%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

3 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Shifting to AI

5 tasks

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

Receiving, transmiting and controlling message traffic
This is reading one thing and writing another: message traffic in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Receive, transmit, and control message traffic.” (O*NET task statement)
How this row was scored
Exposure score: 66 out of 100 (59–73 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Receiving, sending and tracking messages is exactly the kind of structured information handling software is good at.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Procuring, producing and providing information on the safe operation of aircraft
This is reading one thing and writing another: information in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Procure, produce, and provide information on the safe operation of aircraft, such as flight planning publications, operations publications, charts and maps, or weather information.” (O*NET task statement)
How this row was scored
Exposure score: 66 out of 100 (59–73 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Compiling charts, publications and weather information is document gathering and formatting that software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Coordinating with agencies to meet aircrew requirements
This is reading one thing and writing another: agencies in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Coordinate with agencies to meet aircrew requirements for billeting, messing, refueling, ground transportation, and transient aircraft maintenance.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Arranging fuel, transport and accommodation is straightforward booking and coordination work.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Receiving and posting weather information and flight plan data
This is reading one thing and writing another: weather information in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Receive and post weather information and flight plan data, such as air routes or arrival and departure times.” (O*NET task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Taking weather and flight plan data and posting it correctly is structured data handling software does reliably.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Changing shape

7 tasks

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

Relaying departure, arrival, delay, aircraft and airfield status and other pertinent information to upline controlling agencies
The software now makes the first pass at departure, arrival, delay, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Relay departure, arrival, delay, aircraft and airfield status, and other pertinent information to upline controlling agencies.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Passing status information up the chain is structured message handling that software does well, though the safety context matters.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Providing aircrews with information and services needed for airfield management and flight planning
The software now makes the first pass at aircrews, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Provide aircrews with information and services needed for airfield management and flight planning.” (O*NET task statement)
How this row was scored
Exposure score: 42 out of 100 (35–49 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Giving aircrew planning information is looking things up and presenting them clearly, which software does reliably.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Anticipating aircraft equipment needs for air evacuation and cargo flights
The software now makes the first pass at aircraft equipment needs, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Supplemental
Source: “Anticipate aircraft equipment needs for air evacuation and cargo flights.” (O*NET task statement)
How this row was scored
Exposure score: 59 out of 100 (52–66 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; mistakes that are cheap to catch.
The rating behind it: Forecasting equipment needs from flight schedules is planning work software supports well, though local knowledge matters.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

Staying human

15 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Inspecting airfield conditions to ensure compliance with federal regulatory requirements
This work happens in the physical world: airfield conditions, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Inspect airfield conditions to ensure compliance with federal regulatory requirements.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Airfield condition checks mean driving the runways and looking, even though the rules being checked are published.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Implementing airfield safety procedures to ensure a safe operating environment for personnel and aircraft operation
This work happens in the physical world: airfield safety procedures, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Implement airfield safety procedures to ensure a safe operating environment for personnel and aircraft operation.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Safety procedures only count when someone with authority actually enforces them on a live airfield.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Conducting inspections of the airport property and perimeter to maintain controlled access to airfields
This work happens in the physical world: inspections of the airport property, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Conduct inspections of the airport property and perimeter to maintain controlled access to airfields.” (O*NET task statement)
How this row was scored
Exposure score: 7 out of 100 (0–14 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Checking the perimeter and access points means physically going round the airport boundary.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

Show the other 17 tasks

Maintaining flight and event logs
shifting to AI
This is reading one thing and writing another: flight in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Maintain flight and event logs, air crew flying records, and flight operations records of incoming and outgoing flights.” (O*NET task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping flight logs and crew records is routine record work software handles accurately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Checking military flight plans with civilian agencies
changing shape
The software now makes the first pass at military flight plans, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Supplemental
Source: “Check military flight plans with civilian agencies.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Cross-checking flight plans against another agency's records is comparison work software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Coordinating changes to flight itineraries with appropriate Air Traffic Control
changing shape
The software now makes the first pass at changes, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 3 · Supplemental
Source: “Coordinate changes to flight itineraries with appropriate Air Traffic Control (ATC) agencies.” (O*NET task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Rescheduling flights with air traffic control is message and data work computers handle well, though controllers stay in charge of what is agreed.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Collaborating with others to plan flight schedules and air crew assignments
changing shape
The software now makes the first pass at this work, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 4 · Supplemental
Source: “Collaborate with others to plan flight schedules and air crew assignments.” (O*NET task statement)
How this row was scored
Exposure score: 46 out of 100 (39–53 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Scheduling is a strong fit for software, but crew assignments are agreed with people and their circumstances.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Posting visual display boards and status boards
changing shape
The software now makes the first pass at visual display boards, but part of it still happens in the physical world. So the job becomes checking and deciding rather than producing.
importance 4 · Supplemental
Source: “Post visual display boards and status boards.” (O*NET task statement)
How this row was scored
Exposure score: 46 out of 100 (39–53 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: The information is easy to generate, but the physical boards still need updating on the wall.
The five ratings: output a model can produce 4/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring the arrival, parking, refueling, loading and departure of all aircraft
staying human
This work happens in the physical world: the arrival, parking, refueling, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Monitor the arrival, parking, refueling, loading, and departure of all aircraft.” (O*NET task statement)
How this row was scored
Exposure score: 33 out of 100 (26–40 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Systems already track aircraft movements automatically, though someone on the field still watches turnarounds in person.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Training operations staff
staying human
The value here is that a specific person handles operations staff and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Train operations staff.” (O*NET task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Training materials can be drafted automatically, but staff learn this job from someone who has done it.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Coordinating communications between air traffic control and maintenance personnel
staying human
The value here is that a specific person handles communications and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Coordinate communications between air traffic control and maintenance personnel.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: This is live radio coordination between people who need to trust the voice they hear.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Conducting departure and arrival briefings
staying human
The value here is that a specific person handles departure and stands behind it. That is earned, not computed.
importance 4 · Supplemental
Source: “Conduct departure and arrival briefings.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Briefings are given face to face to crews who ask questions and need confidence in the answers.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Planning and coordinating airfield construction
staying human
The value here is that a specific person handles airfield construction and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Plan and coordinate airfield construction.” (O*NET task statement)
How this row was scored
Exposure score: 23 out of 100 (16–30 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Construction planning is desk work, but it is agreed through meetings and depends on the specific airport layout.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Coordinating with agencies, such as air traffic control, civil engineers or command posts
staying human
The value here is that a specific person handles agencies and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Coordinate with agencies, such as air traffic control, civil engineers, or command posts, to ensure support of airfield management activities.” (O*NET task statement)
How this row was scored
Exposure score: 23 out of 100 (16–30 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Coordinating with control towers and engineers works through live relationships and local arrangements.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Using airfield landing and navigational aids and digital data terminal communications equipment to perform duties
staying human
This work happens in the physical world: airfield, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Use airfield landing and navigational aids and digital data terminal communications equipment to perform duties.” (O*NET task statement)
How this row was scored
Exposure score: 22 out of 100 (15–29 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: This equipment is operated from a specific position on the airfield by trained staff.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Initiating or conducting airport-wide coordination of snow removal on runways and taxiways
staying human
This work happens in the physical world: airport-wide coordination of snow removal, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Initiate or conduct airport-wide coordination of snow removal on runways and taxiways.” (O*NET task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Scheduling snow clearance is planning software can help with, but coordinating it live on a working airfield needs someone present.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Maintaining air-to-ground and point-to-point radio contact with aircraft commanders
staying human
The rules require a named, qualified person to answer for air-to-ground, and that person cannot be a piece of software.
importance 4 · Supplemental
Source: “Maintain air-to-ground and point-to-point radio contact with aircraft commanders.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Live radio contact with aircraft commanders is a safety conversation the rules keep with trained people.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 2/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Performing and supervising airfield management activities
staying human
This work happens in the physical world: airfield management activities, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Perform and supervise airfield management activities, including mobile airfield management functions.” (O*NET task statement)
How this row was scored
Exposure score: 6 out of 100 (0–13 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Airfield management, especially the mobile side, means being out on the field running things.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Assisting in responding to aircraft and medical emergencies
staying human
This work happens in the physical world: responding, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Assist in responding to aircraft and medical emergencies.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Emergency response is being there, on the ground, when it happens.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 1/4.
Managing wildlife on and around airport grounds
staying human
This work happens in the physical world: wildlife, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Manage wildlife on and around airport grounds.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Wildlife control on the airfield is physical work outdoors.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: $56,850a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
People doing this job: 15,190in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: message traffic in, a record out. The rows above are exactly that shape: receiving, transmiting and controlling message traffic and procuring, producing. What it cannot do is be there in the room, and that is still where responding gets done. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

Start with what does not change: assisting in responding to aircraft and medical emergencies is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 12% of this job's task weight sits in rows the software is already learning, 17% in rows that change shape rather than disappear, and 71% in rows it is nowhere near. That is the position, measured across 27 scored tasks. It is not a forecast about you.

So the thing worth your attention is not the job going away. It is the layer around it. Receiving, transmiting and controlling message traffic is the part turning into software, and being the person who understands that layer is worth money.

This week: one thing

Ask the one question. Find whoever is bringing new software into your workplace (the manager, the office, whoever runs the system) and ask them what it is meant to do to message traffic, and what it is not meant to touch. Ten minutes, this week, before anyone decides it for you.

What you end up holding: a straight answer about what is actually being rolled out, and when
How long it takes: ten minutes

If there’s nobody obvious to ask, or you’d rather not ask your manager: Put the same question to your union rep, your shift lead or the person who has been there longest, in person, over a break. Same ten minutes, same answer, and you will usually get a straighter one. Write down what they say. The note is the artifact, and it tells you whether airfield conditions are in scope or not. Nothing to log into, no license needed.

Over the next 90 days

Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near relaying departure, arrival, delay, aircraft and airfield status and other pertinent information to upline controlling agencies. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.

Over the next 12 months

On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest US occupations to airfield operations specialists (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was airline pilots, copilots, and flight engineers: only about 5% of its durable work is work you already do and the 4.1× pay gap is the market pricing a barrier. And on the numbers you do not need one. This job scores 28/100 here, with only 12% of the task list in the top band, and “inspect airfield conditions to ensure compliance with federal regulatory requirements” is not work that hands over cleanly. None of them beats deepening what you already have.

How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

Airline Pilots, Copilots, and Flight Engineers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already assist in responding to aircraft and medical emergencies, and their equivalent is to respond to and report in-flight emergencies and malfunctions. Across both published task lists that is about 5% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step. The pay gap is the market pricing a barrier: $232,140 against your $56,850 is 4.08× (OEWS May 2025 (both)), and you would be crossing it holding about 5% of their durable work. A gap that size with an overlap that small is a wish, not a route.
Look at that job’s page anyway →
Air Traffic Controllers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already coordinate communications between air traffic control and maintenance personnel, and their equivalent is to provide on-the-job training to new air traffic controllers. Across both published task lists that is about 5% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step. The pay gap is the market pricing a barrier: $148,080 against your $56,850 is 2.60× (OEWS May 2025 (both)), and you would be crossing it holding about 5% of their durable work. A gap that size with an overlap that small is a wish, not a route.
Look at that job’s page anyway →
Aircraft Cargo Handling Supervisors
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already train operations staff, and their equivalent is to train new employees in areas. Across both published task lists that is about 4% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 4% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 12% of its task weight, across 27 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The headlines about your trade disappearing
They are usually about the technology, not the timetable. Changes to work like assisting in responding to aircraft and medical emergencies arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United States figures

The United Kingdom splits this work across more than one official group, of which Communication operators is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United Kingdom page →partial match

In UK official statistics this job is counted as Communication operators. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
Free

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for airfield operations specialists, and we are not going to point you at the nearest one and call it a fit.

There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 12% of the work on this page is already inside what they can do.

Try The AI Authority free →

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

The AI Authority is a general community about working with AI, not a course for airfield operations specialists. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.

Noted, and thank you. We’ll email you if a Space for airfield operations specialists launches. Nothing else.

That did not look like an email address, so nothing was saved. Have another go below.

We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.

No Space for airfield operations specialists yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for airfield operations specialists existed, with researched problems, courses and people in the same boat, would you want in?

Your email

We use your email address for one thing: to tell you if a Space for airfield operations specialists launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Airfield Operations Specialists?: Not as a job, but it is already doing parts of the work. Across the 27 official task statements scored for Airfield Operations Specialists (United States, SOC 53-2022), 12% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 28 out of 100 (range 22–35, band: low). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Airfield Operations Specialists” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Receive and post weather information and flight plan data, such as air routes or arrival and departure times” (81/100, very high); “Maintain flight and event logs, air crew flying records, and flight operations records of incoming and outgoing flights” (81/100, very high); “Procure, produce, and provide information on the safe operation of aircraft, such as flight planning publications, operations publications, charts and maps,…” (66/100, high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Airfield Operations Specialists” stay human?: About 71% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Manage wildlife on and around airport grounds” (0/100, minimal); “Assist in responding to aircraft and medical emergencies” (0/100, minimal); “Perform and supervise airfield management activities, including mobile airfield management functions” (6/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Airfield Operations Specialists” do about AI?: Start from the ledger rather than the headline: 12% of this job's weighted core work is exposed, and roughly 71% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
How is the AI exposure score for Airfield Operations Specialists calculated?: Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 27 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

Worth knowing about these figures

The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
3 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights: onet-db (im-rt)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

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Using these figures?

Cite this

Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.