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Airline Pilots, Copilots, and Flight Engineers

Occupation · SOC 53-2011.00

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.

Also called: Airline Captain · Captain · First Officer (FO) · Pilot · Airbus Captain · Airline Pilot · Check Airman · Co-Pilot · Commercial Airline Pilot · Line Pilot · Air Force Pilot · Aircraft Captain

Job family: Transportation and Material Moving Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-53-2011-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

39th-percentile task overlap — yet about 11,700 openings a year (+3.9% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 43rd -0.2
LLM task exposure, γ (OpenAI / Eloundou) Moderate 50th 0.6
AI assistant applicability (Microsoft) Low 31st 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.4), and including AI-powered software (γ 0.6). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.2 · 33rd percentile among occupations · Low

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Plan and formulate flight activities and test schedules and prepare flight evaluation reports. 0.3%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +3.9% by 2034
Projected annual openings 11,700
Employment 2024 → 2034 100,000 → 103,900

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

27% mean task exposure (2025)
51st percentile of 427 placed occupations
+3 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Aircraft Pilots and Related Associate Professionals · 3153 27% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 26 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Transferable skills

Operation and Control 4.9
Operations Monitoring 4.6
Judgment and Decision Making 4.0
Time Management 3.9

Abilities

Response Orientation 4.9
Problem Sensitivity 4.8
Control Precision 4.6
Reaction Time 4.3
Near Vision 4.3
Far Vision 4.3
Deductive Reasoning 4.1
Perceptual Speed 4.1
Rate Control 4.1
Depth Perception 4.1
Oral Comprehension 4.0
Written Comprehension 4.0
Oral Expression 4.0
Inductive Reasoning 4.0
Information Ordering 4.0
Flexibility of Closure 4.0
Spatial Orientation 4.0
Selective Attention 4.0
Time Sharing 4.0
Arm-Hand Steadiness 4.0
Multilimb Coordination 4.0
Peripheral Vision 3.9
Hearing Sensitivity 3.8
Speech Recognition 3.8
Speech Clarity 3.8

Knowledge

Transportation 4.8
English Language 3.9
Public Safety and Security 3.7
Mechanical 3.7
Geography 3.7

Essential skills

Active Listening 4.1
Critical Thinking 4.1
Monitoring 4.1
Reading Comprehension 3.9
Speaking 3.8
Active Learning 3.8

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
R Object or component oriented development software Hot technology In demand
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Visio Process mapping and design software Hot technology
Microsoft Word Word processing software Hot technology
AeroPlanner Information retrieval or search software
Airline Pilots Daily Aviation Log PPC Data base user interface and query software
AirSmith FlightPrompt Data base user interface and query software
CoPilot Flight Planning & E6B Data base user interface and query software
Document Object Model DOM Scripting Object or component oriented development software
doXstor Flight Level Logbook Data base user interface and query software
Electronic aircraft information databases Data base user interface and query software
IFT-Pro Route navigation software
MJICCS PilotLog Data base user interface and query software
Navzilla Route navigation software
Nimblefeet Technologies Captain's Keeper Data base user interface and query software
Notam Development Group Airport Insight Information retrieval or search software
Pilot Navigator Software Load Balance Analytical or scientific software
Polaris Microsystems AeroLog Pro Data base user interface and query software
Polaris Microsystems CharterLog Data base user interface and query software
RMS Technology Flitesoft Data base user interface and query software
SBS International Maestro Suite Calendar and scheduling software
Skylog Services Skylog Pro Data base user interface and query software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Importance of Being Exact or Accurate 4.8
Spend Time Sitting 4.7
Face-to-Face Discussions with Individuals and Within Teams 4.6
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.6
In an Enclosed Vehicle or Operate Enclosed Equipment 4.6
Work With or Contribute to a Work Group or Team 4.5
Time Pressure 4.5
Health and Safety of Other Workers 4.4
Contact With Others 4.4
Impact of Decisions on Co-workers or Company Results 4.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.4
Consequence of Error 4.4
Freedom to Make Decisions 4.3
Frequency of Decision Making 4.1
Physical Proximity 4.0
Level of Competition 4.0
E-Mail 4.0
Importance of Repeating Same Tasks 4.0
Work Outcomes and Results of Other Workers 3.9
Indoors, Environmentally Controlled 3.8
Public Speaking 3.7
Coordinate or Lead Others in Accomplishing Work Activities 3.7
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.6
Determine Tasks, Priorities and Goals 3.6
Exposed to High Places 3.6
Exposed to Very Hot or Cold Temperatures 3.6
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.6
Degree of Automation 3.6
Exposed to Radiation 3.5
Exposed to Contaminants 3.5
Conflict Situations 3.5
Telephone Conversations 3.5
Outdoors, Exposed to All Weather Conditions 3.4
Pace Determined by Speed of Equipment 3.4
Deal With External Customers or the Public in General 3.3
Dealing With Unpleasant, Angry, or Discourteous People 3.1
Spend Time Making Repetitive Motions 3.0
Exposed to Cramped Work Space, Awkward Positions 2.9
Exposed to Hazardous Conditions 2.8
Exposed to Hazardous Equipment 2.8

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Typical entry-level education
Bachelor's degree · BLS, the typical path — not a requirement
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

What to study: Transportation and Materials Moving . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Bachelor's Degree 61.0%
High School Diploma 18.2%
Less than a High School Diploma 8.0%
Associate's Degree (or other 2-year degree) 6.3%
Post-Secondary Certificate 5.1%
Some College Courses 1.4%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Work styles

Dependability 10.0
Attention to Detail 9.0
Integrity 8.0
Cautiousness 7.0
Achievement Orientation 6.0
Self-Control 5.0
Stress Tolerance 4.0
Perseverance 3.0

Interest areas

Transportation/Machine Operation 6.3
Mechanics/Electronics 3.9
Engineering 3.8
Management/Administration 2.7

Career interests (Holland / RIASEC)

Realistic 4.7
Conventional 4.7
Enterprising 3.8
Investigative 3.1

Wages & employment

U.S. · annual wages (BLS OEWS)

100k2024104k2034 (proj.)+3.9% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $98,560
25th percentile $154,360
Median (50th) $226,600
75th percentile
90th percentile
People employed 99,300

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Transportation and Warehousing · Sector 93,290
Educational Services · Sector 560 $68,870
Manufacturing · Sector 90 $94,720
Health Care and Social Assistance · Sector 80 $93,660
Ambulance Services · National industry 80 $93,660
Professional, Scientific, and Technical Services · Sector 40 $162,290
Wholesale Trade · Sector $141,540
Management of Companies and Enterprises · Sector $85,610

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Transportation and Warehousing · Sector 19.6× 93,290
Educational Services · Sector 0.06× 560

Part of the Supply Chain & Transportation career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Airline Pilots, Copilots, and Flight Engineers sits at the 39th percentile of AI task-overlap and the 100th percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Airline Pilots, Copilots, and Flight Engineers Aircraft Service Attendants Aircraft Mechanics and Service Technicians Aircraft Cargo Handling Supervisors Captains, Mates, and Pilots of Water Vessels Flight Attendants Commercial Pilots Airfield Operations Specialists AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Airline Pilots, Copilots, and Flight Engineers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 51st percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Airline Pilots, Copilots, and Flight Engineers show 39th-percentile AI task overlap — and about 11,700 annual U.S. openings

  • Airline Pilots, Copilots, and Flight Engineers rank in the 39th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 11,700 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+3.9%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $226,600, across about 99,300 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Airline Pilots, Copilots, and Flight Engineers show 39th-percentile AI task overlap — and about 11,700 annual U.S. openings

• Airline Pilots, Copilots, and Flight Engineers rank in the 39th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 11,700 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+3.9%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $226,600, across about 99,300 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Airline Pilots, Copilots, and Flight Engineers". https://singulariki.com/roles/role-53-2011-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Airline Pilots, Copilots, and Flight Engineers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-53-2011-00

APA

Singulariki. (2026). Airline Pilots, Copilots, and Flight Engineers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-2011-00

BibTeX
@misc{singulariki-role-53-2011-00,
  title  = {Airline Pilots, Copilots, and Flight Engineers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-53-2011-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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