Skip to content
Singulariki

Airfield Operations Specialists

Occupation · SOC 53-2022.00

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.

Also called: Airport Operations Agent · Airport Operations Coordinator · Airport Operations Officer · Airport Operations Specialist · Airfield Operations Specialist · Flight Follower · Operations Agent · Operations Coordinator · Operations Officer · Operations Specialist · Airfield Services Officer · Airline Agent

Job family: Transportation and Material Moving Occupations

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-53-2022-00/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.

Often handed to AI

Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.

  • Provide aircrews with information and services needed for airfield management and flight planning. · 1.4%
See how AI is used here →

Use as a copilot

Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.

  • Procure, produce, and provide information on the safe operation of aircraft, such as flight planning publications, operations publications, charts and maps, and weather information. · 0.6%
See collaboration patterns →

Keep a human in the loop

Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.

  • Provide aircrews with information and services needed for airfield management and flight planning. · 100.0% need a human
  • Procure, produce, and provide information on the safe operation of aircraft, such as flight planning publications, operations publications, charts and maps, and weather information. · 98.2% need a human
See the boundary tasks →

58th-percentile task overlap — yet about 1,600 openings a year (+4.2% projected, BLS), and observed AI use leans 2821% copilot, not hand-off (AEI) . 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 59th 0.5
LLM task exposure, γ (OpenAI / Eloundou) Moderate 52nd 0.6
AI assistant applicability (Microsoft) Moderate 65th 0.2

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 0.7 · 58th percentile among occupations · Moderate

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.

Provide aircrews with information and services needed for airfield management and flight planning. 0.4%
Train operations staff. 0.2%

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 · +4.2% by 2034
Projected annual openings 1,600
Employment 2024 → 2034 16,900 → 17,600

“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 5 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

30% mean task exposure (2025)
56th percentile of 427 placed occupations
−0 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Air Traffic Safety Electronics Technicians · 3155 34% Minimal
Air Traffic Controllers · 3154 31% Minimal
Ships' Deck Officers and Pilots · 3152 29% Not exposed
Aircraft Pilots and Related Associate Professionals · 3153 27% Not exposed
Ships' Engineers · 3151 23% 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.

Working with AI in this job

How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.

Augmentation vs. automation 28.2% working with AI · 51.8% handed to AI
Most common way people use AI here Directive · AI does it; you give the instruction
Typical AI autonomy 3.0 / 5 · higher = AI acts more independently

What people delegate to AI

The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.

Task How Usage
Provide aircrews with information and services needed for airfield management and flight planning. Directive 1.4%
Procure, produce, and provide information on the safe operation of aircraft, such as flight planning publications, operations publications, charts and maps, and weather information. Learning 0.6%

Where a human is still needed

Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.

Provide aircrews with information and services needed for airfield management and flight planning. 100.0%
Procure, produce, and provide information on the safe operation of aircraft, such as flight planning publications, operations publications, charts and maps, and weather information. 98.2%

What people most often hand AI here

Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.

  • Help me provide aircrews with information and services needed for airfield management and flight planning.

    From: Provide aircrews with information and services needed for airfield management and flight planning. · 1.4% of measured AI use · directive

  • Help me procure, produce, and provide information on the safe operation of aircraft, such as flight planning publications, operations publications, charts and maps, and weather information.

    From: Procure, produce, and provide information on the safe operation of aircraft, such as flight planning publications, operations publications, charts and maps, and weather information. · 0.6% of measured AI use · learning

Tasks

All 27 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Inspect airfield conditions to ensure safety and compliance with federal regulatory requirements.
  • Issue notices to advise flight crews of airfield status.
  • Monitor and manage the operation of drones within the airport airspace to ensure safe aircraft operations.
  • Train operations staff on topics such as driving on airfields and security identification display area (SIDA) procedures.

Work activities

Knowledge, skills & abilities

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

Knowledge

Public Safety and Security 4.5
Transportation 4.3
English Language 4.2
Customer and Personal Service 4.0
Education and Training 3.7
Telecommunications 3.6
Administration and Management 3.6
Law and Government 3.4
Administrative 3.4
Computers and Electronics 3.3

Abilities

Problem Sensitivity 4.1
Deductive Reasoning 4.1
Oral Comprehension 4.0
Written Comprehension 4.0
Oral Expression 4.0
Inductive Reasoning 3.8
Speech Clarity 3.8
Written Expression 3.6
Information Ordering 3.6
Near Vision 3.6
Far Vision 3.6
Flexibility of Closure 3.3
Perceptual Speed 3.3
Selective Attention 3.3
Speech Recognition 3.3

Essential skills

Active Listening 4.0
Monitoring 4.0
Reading Comprehension 3.8
Speaking 3.8
Critical Thinking 3.8
Writing 3.4
Active Learning 3.3

Transferable skills

Coordination 3.8
Complex Problem Solving 3.4
Instructing 3.3
Judgment and Decision Making 3.3
Social Perceptiveness 3.1
Systems Analysis 3.1
Systems Evaluation 3.1
Time Management 3.1

Skills in demand

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

Showing the top 40 of 43.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Adobe Photoshop Graphics or photo imaging software Hot technology
Extensible markup language XML Enterprise application integration software Hot technology
Intuit QuickBooks Accounting software Hot technology
Linux Operating system software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft SharePoint Document management software Hot technology
Microsoft Windows Operating system software Hot technology
Microsoft Word Word processing software Hot technology
Oracle Database Data base user interface and query software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
Aircraft noise monitoring system software Data base user interface and query software
Apache HTTP Server Application server software
Decision Support Technologies Propworks Expert system software
FileMaker Pro Data base user interface and query software
Ground transportation management system Data base user interface and query software
Internet Protocol Television Systems Internet protocol IP multimedia subsystem software
Operations scheduling software Calendar and scheduling software
Parking access revenue control system Data base user interface and query software
TRMI Airport AVI 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.

Contact With Others 4.9
Telephone Conversations 4.9
Face-to-Face Discussions with Individuals and Within Teams 4.9
Consequence of Error 4.8
Freedom to Make Decisions 4.8
Deal With External Customers or the Public in General 4.8
Work With or Contribute to a Work Group or Team 4.8
E-Mail 4.7
Importance of Being Exact or Accurate 4.7
Impact of Decisions on Co-workers or Company Results 4.6
Determine Tasks, Priorities and Goals 4.6
Importance of Repeating Same Tasks 4.5
In an Enclosed Vehicle or Operate Enclosed Equipment 4.4
Frequency of Decision Making 4.4
Coordinate or Lead Others in Accomplishing Work Activities 4.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.3
Health and Safety of Other Workers 4.2
Outdoors, Exposed to All Weather Conditions 4.2
Time Pressure 4.1
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.0
Exposed to Contaminants 4.0
Indoors, Environmentally Controlled 3.9
Work Outcomes and Results of Other Workers 3.9
Physical Proximity 3.8
Dealing With Unpleasant, Angry, or Discourteous People 3.7
Exposed to Very Hot or Cold Temperatures 3.6
Conflict Situations 3.6
Written Letters and Memos 3.6
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.5
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.4
Spend Time Standing 3.3
Indoors, Not Environmentally Controlled 3.3
Spend Time Walking or Running 3.1
Spend Time Sitting 3.1
Exposed to Hazardous Equipment 3.0
Exposed to Hazardous Conditions 3.0
Spend Time Making Repetitive Motions 2.9
Level of Competition 2.8
Public Speaking 2.7
Degree of Automation 2.6

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — 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.

Some College Courses 14.7%
Associate's Degree (or other 2-year degree) 0.6%

Interests & work styles

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

Work styles

Dependability 8.0
Attention to Detail 7.0
Integrity 6.0
Cautiousness 5.0
Cooperation 4.0
Self-Control 3.0
Stress Tolerance 2.5

Career interests (Holland / RIASEC)

Conventional 4.9
Realistic 4.6
Enterprising 4.5
Investigative 3.5
Social 2.5

Interest areas

Management/Administration 4.2
Protective Service 3.3
Transportation/Machine Operation 2.7
Engineering 2.4

Wages & employment

U.S. · annual wages (BLS OEWS)

$35k10th$41k25th$57kMedian$78k75th$111k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
17k202418k2034 (proj.)+4.2% · 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 $35,200
25th percentile $41,220
Median (50th) $56,750
75th percentile $78,320
90th percentile $111,030
People employed 16,640

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 10,560 $49,360
Management of Companies and Enterprises · Sector 800 $112,730
Educational Services · Sector 220 $43,750
Manufacturing · Sector 180 $86,270
Professional, Scientific, and Technical Services · Sector 150 $59,500
Administrative and Support and Waste Management and Remediation Services · Sector 70 $57,710

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 13.24× 10,560
Management of Companies and Enterprises · Sector 2.64× 800
Educational Services · Sector 0.15× 220
Manufacturing · Sector 0.13× 180
Professional, Scientific, and Technical Services · Sector 0.13× 150

Part of the Supply Chain & Transportation career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Airfield Operations Specialists sits at the 58th percentile of AI task-overlap and the 41st percentile of median pay, placed here against 10 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Airfield Operations Specialists Aircraft Cargo Handling Supervisors Facilities Managers Airline Pilots, Copilots, and Flight Engineers Flight Attendants Railroad Conductors and Yardmasters Commercial Pilots Aviation Inspectors Dispatchers, Except Police, Fire, and Ambulance 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 Airfield Operations Specialists — 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 56th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Airfield Operations Specialists show 58th-percentile AI task overlap — and about 1,600 annual U.S. openings

  • Airfield Operations Specialists rank in the 58th 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 1,600 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 (+4.2%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $56,750, across about 16,640 U.S. workers.BLS OEWS (May 2024)
  • Of the AI use actually observed for this work, 28% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Airfield Operations Specialists show 58th-percentile AI task overlap — and about 1,600 annual U.S. openings

• Airfield Operations Specialists rank in the 58th 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 1,600 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 (+4.2%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $56,750, across about 16,640 U.S. workers. (BLS OEWS (May 2024))
• Of the AI use actually observed for this work, 28% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2)

Source: Singulariki — "Airfield Operations Specialists". https://singulariki.com/roles/role-53-2022-00
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. "Airfield Operations Specialists." 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-53-2022-00

APA

Singulariki. (2026). Airfield Operations Specialists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-53-2022-00

BibTeX
@misc{singulariki-role-53-2022-00,
  title  = {Airfield Operations Specialists},
  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-53-2022-00}
}

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

Embed this chart

Paste this into any page. It links back here for attribution.