Aircraft Service Attendants

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.

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.1), and including AI-powered software (γ 0.2). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Job outlook

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

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

Tasks

All 18 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

• Apply de-icing fluid to aircraft from baskets lifted by truck-mounted cranes.
• Change aircraft oil, coolant, or other fluids.
• Clean aircraft interiors by picking up waste, wiping down windows, or vacuuming.
• Climb ladders to reach aircraft surfaces to be cleaned.
• Complete forms describing tasks completed.
• De-grease aircraft exteriors.
• Empty aircraft lavatory systems or refill them with sanitizer fluid.
• Guide aircraft to designated areas using hand signals, batons, or other methods.
• Inspect aircraft components to locate cracks, breaks, leaks, or other problems.
• Load baggage or cargo for crew or passengers.
• Mix cleaning compounds or solutions.
• Polish aircraft exteriors.
• Radio to flight dispatchers or other personnel to discuss incoming or outgoing aircraft.
• Refill aircraft potable water tanks.
• Refuel aircraft using hoses connected to fuel trucks.
• Remove exhaust stains from aircraft using cleaning fluids.
• Tow aircraft to gates or hangars using tugs, tractors, or other vehicles.
• Wash the aircraft exteriors using lifts, cranes, detergent, or other equipment.

Work activities

• Service vehicles to maintain functionality.
• Clean vehicles or vehicle components.
• Climb ladders or vehicles to perform duties.
• Maintain repair or maintenance records.
• Clean facilities or equipment.
• Maintain plumbing structures or fixtures.
• Communicate with others to coordinate vehicle movement.
• Signal others to coordinate vehicle movement.
• Inspect mechanical components of vehicles to identify problems.
• Handle luggage or other possessions for patrons.
• Mix ingredients.
• Mix substances to create chemical solutions.
• Polish materials, workpieces, or finished products.
• Perform manual service or maintenance tasks.
• Drive trucks or truck-mounted equipment.

Skills in demand

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

• Microsoft Word Common Skill
• Microsoft Windows Common Skill
• Microsoft Excel Common Skill

Tools & technology

How to get in

Job zone

Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed

Education

Usually requires a high school diploma or GED, though some occupations may not.

Typical entry-level education

High school diploma or equivalent · BLS, the typical path — not a requirement

Related experience

Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.

Preparation level

SVP (Below 6.0) — total schooling plus on-the-job experience.

Interests & work styles

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

Interest areas

Career interests (Holland / RIASEC)

Work styles

Wages & employment

U.S. · annual wages (BLS OEWS)

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.

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).

Related occupations

Part of the Supply Chain & Transportation career cluster.

• Aircraft Mechanics and Service Technicians · 49-3011.00 Compare →
• Avionics Technicians · 49-2091.00 Compare →
• Aircraft Structure, Surfaces, Rigging, and Systems Assemblers · 51-2011.00 Compare →
• Commercial Pilots · 53-2012.00 Compare →
• Cleaners of Vehicles and Equipment · 53-7061.00 Compare →
• Rail Car Repairers · 49-3043.00 Compare →
• Bus and Truck Mechanics and Diesel Engine Specialists · 49-3031.00 Compare →
• Automotive and Watercraft Service Attendants · 53-6031.00 Compare →
• Aircraft Cargo Handling Supervisors · 53-1041.00 Compare →
• Maintenance and Repair Workers, General · 49-9071.00 Compare →
• Airline Pilots, Copilots, and Flight Engineers · 53-2011.00 Compare →
• Maintenance Workers, Machinery · 49-9043.00 Compare →

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 Aircraft Service Attendants — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

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.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
• BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
• Microsoft “Working with AI” working-with-ai Microsoft Research
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

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

@misc{singulariki-role-53-6032-00,
  title  = {Aircraft Service Attendants},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-53-6032-00}
}