Gini Loh System Tools

AI Automation Index

Will AI Replace Aircraft Service Attendants?

Task-level automation exposure for Aircraft Service Attendants: 11 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

23% weighted task index

11 of 11 tasks scored

Median Salary

$40,450 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Medium

31,300 people hold this job — size, not growth

Projected 2025–35

+5.6% employment change

4,000 openings a year · BLS line item

Pay by state

BLS OEWS publishes 47 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$28,540 – $71,740

Highest medians

Maryland $71,740
Tennessee $56,620
Hawaii $53,770
Washington $50,520
Minnesota $46,930

Lowest medians

Puerto Rico $28,540
West Virginia $30,840
Iowa $35,560
South Carolina $36,130
Wyoming $36,360

State figures come from the 53-6032 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 23%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 54%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 0%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 12%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 58/100 High

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

11 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 12%

1 tasks

Medium exposure (≥ 35%) 13%

1 tasks

Low exposure (below 35%) 75%

9 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#23839 · Core · 20% automatable

Guide aircraft to designated areas using hand signals, batons, or other methods.

situated mobility — Vehicle movement coordination is real-time physical

Communicate with others to coordinate vehicle movement. Signal others to coordinate vehicle movement.
#23844 · Core · 35% automatable

Radio to flight dispatchers or other personnel to discuss incoming or outgoing aircraft.

situated mobility — Vehicle movement coordination is real-time physical

Communicate with others to coordinate vehicle movement.
#23836 · Core · 80% automatable

Complete forms describing tasks completed.

text generation — Log maintenance and repair records from data

Maintain repair or maintenance records.
#23832 · Supplemental · 8% automatable

Apply de-icing fluid to aircraft from baskets lifted by truck-mounted cranes.

physical manipulation — Hands-on vehicle servicing

Service vehicles to maintain functionality.
#23848 · Supplemental · 10% automatable

Tow aircraft to gates or hangars using tugs, tractors, or other vehicles.

situated mobility — Truck driving needs real-world navigation and control

Drive trucks or truck-mounted equipment.
#23846 · Supplemental · 9% automatable

Refuel aircraft using hoses connected to fuel trucks.

physical manipulation — Hands-on manual service tasks

Service vehicles to maintain functionality. Perform manual service or maintenance tasks.
#23838 · Supplemental · 8% automatable

Empty aircraft lavatory systems or refill them with sanitizer fluid.

physical manipulation — Plumbing repair is manual dexterity in situ

Clean facilities or equipment. Maintain plumbing structures or fixtures.
#23841 · Supplemental · 8% automatable

Load baggage or cargo for crew or passengers.

physical manipulation — Hands-on handling of patron luggage

Handle luggage or other possessions for patrons.
#23840 · Supplemental · 18% automatable

Inspect aircraft components to locate cracks, breaks, leaks, or other problems.

visual inspection — Mechanical component inspection requires hands-on access

Inspect mechanical components of vehicles to identify problems.
#23835 · Supplemental · 3% automatable

Climb ladders to reach aircraft surfaces to be cleaned.

situated mobility — Climbing ladders requires physical balance

Climb ladders or vehicles to perform duties.
#23845 · Supplemental · 10% automatable

Refill aircraft potable water tanks.

physical manipulation — Hands-on manual service tasks

Perform manual service or maintenance tasks.
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Community Sentiment

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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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