Will AI replace Aircraft Service Attendants?
AI reaches some of this job’s work, but most of it stays with people.
24/100
Moderate exposure
More exposed to AI than 40% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 24% of the work
What the job involves
Service aircraft with fuel. May de-ice aircraft, refill water and cooling agents, empty sewage tanks, service air and oxygen systems, or clean and polish exterior.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(2)
- Complete forms describing tasks completed.
- Radio to flight dispatchers or other personnel to discuss incoming or outgoing aircraft.
Out of reach(9)
- Guide aircraft to designated areas using hand signals, batons, or other methods.
- Apply de-icing fluid to aircraft from baskets lifted by truck-mounted cranes.
- Refuel aircraft using hoses connected to fuel trucks.
- Climb ladders to reach aircraft surfaces to be cleaned.
- Inspect aircraft components to locate cracks, breaks, leaks, or other problems.
and 4 more
Also called
Aircraft Deicer · Aircraft Refueler · Airplane Refueler · Fueler · Refueler · Aircraft Cleaner · Aircraft Detailer · Aircraft Fueler
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics