Will AI replace Airline Pilots, Copilots, and Flight Engineers?

Not as a job, but it is already doing parts of the work. Across the 24 official task statements scored for Airline Pilots, Copilots, and Flight Engineers (United States, SOC 53-2011), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 13 out of 100 (range 10–19, band: minimal). 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 “Airline Pilots, Copilots, and Flight Engineers” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “File instrument flight plans with air traffic control to ensure that flights are coordinated with other air traffic” (56/100, partial); “Plan and formulate flight activities and test schedules and prepare flight evaluation reports” (56/100, partial); “Record in log books information, such as flight times, distances flown, and fuel consumption” (52/100, partial). 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 “Airline Pilots, Copilots, and Flight Engineers” stay human?

About 83% 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: “Conduct in-flight tests and evaluations at specified altitudes and in all types of weather to determine the receptivity and other characteristics of equipmen…” (0/100, minimal); “Direct activities of aircraft crews during flights” (0/100, minimal); “Monitor engine operation, fuel consumption, and functioning of aircraft systems during flights” (0/100, 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 “Airline Pilots, Copilots, and Flight Engineers” do about AI?

Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 83% 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 Airline Pilots, Copilots, and Flight Engineers 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 24 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

Airline Pilots, Copilots, and Flight Engineers

using instrumentation to guide flights when visibility is poor, steering aircraft along planned routes and checking passenger and cargo distributions and fuel amounts to ensure that weight and balance specifications are met. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: using instrumentation to guide flights when visibility is poor 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: 0%
changing shape: 17%
staying human: 83%

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

Whole-job exposure score 13 out of 100 (10–19 allowing for uncertainty): minimal exposure, across 24 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 airline pilots, copilots, and flight engineers 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 2026-08-04. Read the full method.

What shifts is checking passenger and cargo distributions and fuel amounts to ensure that weight and balance specifications are met: the overhead at the edges, not the middle you trained for.

Your week, as this page understands it

Pilot and navigate the flight of fixed-wing aircraft, usually on scheduled air carrier routes, for the transport of passengers and cargo. Requires Federal Air Transport certificate and rating for specific aircraft type used. Includes regional, national, and international airline pilots and flight instructors of airline pilots. The job title says “airline pilots”, “copilots” or “flight engineers”: officially one job, several names. The real job is the part underneath: using instrumentation to guide flights when visibility is poor. 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 airline pilots, copilots, and flight engineers is not one task. It is 24 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is using instrumentation to guide flights when visibility is poor, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 0%
changing shape: 17%
staying human: 83%

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 2026-08-04. 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.

Shifting to AI

0 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.

Nothing in this job’s scored task list landed in this group. That is the measurement, not an editorial choice, and it is worth knowing either way.

Changing shape

5 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.

Checking passenger and cargo distributions and fuel amounts to ensure that weight and balance specifications are met
The software now makes the first pass at passenger, 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 5 · Core
Source: “Check passenger and cargo distributions and fuel amounts to ensure that weight and balance specifications are met.” (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; someone qualified has to answer for it.
The rating behind it: Weight and balance figures are already produced by software, with the captain accepting the load sheet.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Conferring with flight dispatchers and weather forecasters to keep abreast of flight conditions
The software now makes the first pass at flight dispatchers, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Confer with flight dispatchers and weather forecasters to keep abreast of flight conditions.” (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: Gathering weather and dispatch information is a briefing-pack job software assembles quickly.
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.
Recording in log books information
The software now makes the first pass at log books information, 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 4 · Core
Source: “Record in log books information, such as flight times, distances flown, and fuel consumption.” (O*NET task statement)
How this row was scored
Exposure score: 52 out of 100 (45–59 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: Filling in flight times, distance and fuel is record-keeping already captured automatically.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Filing instrument flight plans with air traffic control to ensure that flights are coordinated with other air traffic
The software now makes the first pass at instrument flight plans, 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 4 · Supplemental
Source: “File instrument flight plans with air traffic control to ensure that flights are coordinated with other air traffic.” (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; someone qualified has to answer for it.
The rating behind it: Filing a flight plan is an electronic form already prepared largely by dispatch systems.
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 0/4 · how much data exists 3/4.
Planning and formulating flight activities and testing schedules and preparing flight evaluation reports
The software now makes the first pass at flight activities, 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: “Plan and formulate flight activities and test schedules and prepare flight evaluation reports.” (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; someone qualified has to answer for it.
The rating behind it: Planning schedules and writing evaluation reports is desk work software drafts quickly.
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 0/4 · how much data exists 3/4.

Staying human

19 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.

Using instrumentation to guide flights when visibility is poor
This work happens in the physical world: instrumentation, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Use instrumentation to guide flights when visibility is poor.” (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: 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: Flying on instruments in poor visibility means a licensed pilot at the controls.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Starting engines, operate controls and pilot airplanes to transport passengers, mail or freight
This work happens in the physical world: engines, operate controls and pilot airplanes, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Start engines, operate controls, and pilot airplanes to transport passengers, mail, or freight, adhering to flight plans, regulations, and procedures.” (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: 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: Starting engines and flying the aircraft is hands-on work in the cockpit.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Responding to and reporting in-flight emergencies and malfunctions
This work happens in the physical world: this work, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Respond to and report in-flight emergencies and malfunctions.” (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; someone qualified has to answer for it.
The rating behind it: Handling an in-flight emergency needs a trained crew physically at the controls.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Inspecting aircraft for defects and malfunctions
This work happens in the physical world: aircraft, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Inspect aircraft for defects and malfunctions, according to pre-flight checklists.” (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: 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: Checklists are documented, but the walkaround means eyes and hands on the actual aircraft.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Contacting control towers for takeoff clearances
This work happens in the physical world: control towers, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Contact control towers for takeoff clearances, arrival instructions, and other information, using radio equipment.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high 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: Radio calls to the tower are made by the crew flying the aircraft at that moment.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

Show the other 14 tasks

Choosing routes, altitudes and speeds that will provide the fastest, safest and smoothest flights
staying human
The rules require a named, qualified person to answer for routes, altitudes and speeds, and that person cannot be a piece of software.
importance 4 · Core
Source: “Choose routes, altitudes, and speeds that will provide the fastest, safest, and smoothest flights.” (O*NET task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low 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: Route and altitude optimization is already computed by software, though the captain legally decides.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Ordering changes in fuel supplies
staying human
The rules require a named, qualified person to answer for changes, and that person cannot be a piece of software.
importance 4 · Core
Source: “Order changes in fuel supplies, loads, routes, or schedules to ensure safety of flights.” (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 same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Changing fuel, load or route is a safety decision the licensed captain must own.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Briefing crews about flight details
staying human
This work happens in the physical world: crews, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Brief crews about flight details, such as destinations, duties, and responsibilities.” (O*NET task statement)
How this row was scored
Exposure score: 20 out of 100 (13–27 allowing for uncertainty): low 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 value is that a specific person does it.
The rating behind it: The briefing content writes itself from flight data, but crews expect a real captain to deliver it.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 2/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Making announcements regarding flights, using public address systems
staying human
This work happens in the physical world: announcements regarding flights, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Make announcements regarding flights, using public address systems.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 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: The words are routine, but the announcement comes from the flight deck of that aircraft.
The five ratings: output a model can produce 3/4 · 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 3/4.
Instructing other pilots and student pilots in aircraft operations and the principles of flight
staying human
This work happens in the physical world: other pilots, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Instruct other pilots and student pilots in aircraft operations and the principles of flight.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (3–17 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 value is that a specific person does it.
The rating behind it: Flight instruction happens in the aircraft with a licensed instructor sitting beside the student.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 3/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Performing minor maintenance work or arranging for major maintenance
staying human
This work happens in the physical world: minor maintenance work, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Perform minor maintenance work, or arrange for major maintenance.” (O*NET task statement)
How this row was scored
Exposure score: 9 out of 100 (0–21 allowing for uncertainty): minimal exposure, low 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: Minor maintenance means hands on the aircraft, and licensed engineers sign off the rest.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Coordinating flight activities with ground crews and air traffic control and informing crew members of flight and testing procedures
staying human
This work happens in the physical world: flight activities, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Coordinate flight activities with ground crews and air traffic control and inform crew members of flight and test procedures.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (1–15 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: Coordination messages are simple, but they come from the crew in the aircraft.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Evaluating other pilots or pilot-license applicants for proficiency
staying human
This work happens in the physical world: other pilots, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Evaluate other pilots or pilot-license applicants for proficiency.” (O*NET task statement)
How this row was scored
Exposure score: 3 out of 100 (0–10 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: A check ride is legally an authorized examiner’s judgement, made sitting beside the pilot.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 4/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Working as part of a flight team with other crew members
staying human
This work happens in the physical world: part of a flight team, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Work as part of a flight team with other crew members, especially during takeoffs and landings.” (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; someone qualified has to answer for it.
The rating behind it: Working as a crew through takeoff and landing means being aboard with the other pilots.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Steering aircraft along planned routes
staying human
This work happens in the physical world: aircraft along planned routes, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Steer aircraft along planned routes, using autopilot and flight management computers.” (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: 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: Even on autopilot, steering the aircraft means a pilot physically at the controls.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring gauges, warning devices and controlling panels to verify aircraft performance and to regulate engine
staying human
This work happens in the physical world: gauges, warning devices and controlling panels, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Monitor gauges, warning devices, and control panels to verify aircraft performance and to regulate engine speed.” (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: 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: Watching gauges and setting engine power is hands-on work at the controls.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring engine operation, fuel consumption and functioning of aircraft systems during flights
staying human
This work happens in the physical world: engine operation, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Monitor engine operation, fuel consumption, and functioning of aircraft systems during flights.” (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: 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: Watching engines and fuel during a flight means being at the controls while the aircraft is airborne.
The five ratings: output a model can produce 2/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Directing activities of aircraft crews during flights
staying human
This work happens in the physical world: activities of aircraft crews during flights, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Direct activities of aircraft crews during flights.” (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; someone qualified has to answer for it.
The rating behind it: Directing the crew during a flight means being on board with them.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Conducting in-flight tests and evaluations at specified altitudes and in all types of weather to determine the receptivity and other characteristics of equipment and systems
staying human
This work happens in the physical world: in-flight tests, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Conduct in-flight tests and evaluations at specified altitudes and in all types of weather to determine the receptivity and other characteristics of equipment and systems.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–7 allowing for uncertainty): minimal exposure, high confidence, and it moved between repeat runs, so the range is widened.
Why it sits in this group: work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: In-flight testing means being aboard and flying the aircraft.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · 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: $232,140a 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: 103,560in 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: passenger in, a record out. The rows above are exactly that shape: checking passenger and cargo distributions and fuel amounts to ensure that weight and balance specifications are met. What it cannot do is be answerable: instrumentation needs a named person the rules will accept, and software cannot be that person. 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: using instrumentation to guide flights when visibility is poor is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 0% of this job's task weight sits in rows the software is already learning, 17% in rows that change shape rather than disappear, and 83% in rows it is nowhere near. That is the position, measured across 24 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. Checking passenger and cargo distributions and fuel amounts to ensure that weight and balance specifications are met 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 passenger, 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 engines, operate controls and pilot airplanes 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 checking passenger and cargo distributions and fuel amounts to ensure that weight and balance specifications are met. 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 airline pilots, copilots, and flight engineers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was commercial pilots: it pays 46.9% less. And on the numbers you do not need one. This job scores 13/100 here, with only 0% of the task list in the top band, and “use instrumentation to guide flights when visibility is poor” 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.

Commercial Pilots
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “monitor engine operation, fuel consumption, and functioning of aircraft systems during flights”. Across the whole of both lists that adds up to about 52% of the work in that job the software is not taking.
Why I am not recommending it: It is a pay cut, in those words: $123,220 against your $232,140, 46.9% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Airfield Operations Specialists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already respond to and report in-flight emergencies and malfunctions, and their equivalent is to assist in responding to aircraft and medical emergencies. Across both published task lists that is about 6% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 6% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $56,850 against your $232,140, 75.5% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice. And it is a narrow door: about 15,190 of those jobs against 103,560 of yours (OEWS May 2025), 15% as many seats.
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 direct activities of aircraft crews during flights, and their equivalent is to accompany aircraft as a member of the flight crew to monitor and handle…. 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. It is a pay cut, in those words: $58,170 against your $232,140, 74.9% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice. And it is a narrow door: about 9,760 of those jobs against 103,560 of yours (OEWS May 2025), 9% as many seats.
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: 0% of its task weight, across 24 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 using instrumentation to guide flights when visibility is poor 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 nearest United Kingdom equivalent is Aircraft pilots and air traffic controllers. It is a close match rather than an identical one: the two countries draw the boundary of the job in slightly different places.

Switch to the United Kingdom page →close match

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

Why there is no community here

Collab365, who build this site, run paid Spaces for a small number of subjects, and none of them is built for this job. We are not going to point you at the nearest one and call it a fit.

So the free services listed on this page are the whole answer, and it is the same answer we would give a friend.

Noted, and thank you. We’ll email you if a Space for airline pilots / copilots / flight engineers 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 airline pilots / copilots / flight engineers 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 airline pilots / copilots / flight engineers 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 airline pilots / copilots / flight engineers 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 Airline Pilots, Copilots, and Flight Engineers?: Not as a job, but it is already doing parts of the work. Across the 24 official task statements scored for Airline Pilots, Copilots, and Flight Engineers (United States, SOC 53-2011), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 13 out of 100 (range 10–19, band: minimal). 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 “Airline Pilots, Copilots, and Flight Engineers” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “File instrument flight plans with air traffic control to ensure that flights are coordinated with other air traffic” (56/100, partial); “Plan and formulate flight activities and test schedules and prepare flight evaluation reports” (56/100, partial); “Record in log books information, such as flight times, distances flown, and fuel consumption” (52/100, partial). 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 “Airline Pilots, Copilots, and Flight Engineers” stay human?: About 83% 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: “Conduct in-flight tests and evaluations at specified altitudes and in all types of weather to determine the receptivity and other characteristics of equipmen…” (0/100, minimal); “Direct activities of aircraft crews during flights” (0/100, minimal); “Monitor engine operation, fuel consumption, and functioning of aircraft systems during flights” (0/100, 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 “Airline Pilots, Copilots, and Flight Engineers” do about AI?: Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 83% 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 Airline Pilots, Copilots, and Flight Engineers 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 24 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

About the data on this page

One task scored differently between repeat runs, so its range on this page is wider. We would rather show the wobble than hide it.
One row is marked low confidence, so treat it as a ballpark rather than a fine measurement.
9 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.

How we score a job Download this release Look up another job

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.