Gini Loh System Tools

AI Automation Index

Will AI Replace First-Line Supervisors of Passenger Attendants?

Task-level automation exposure for First-Line Supervisors of Passenger Attendants: 19 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

49% weighted task index

19 of 19 tasks scored

Median Salary

$62,840 / year

BLS OEWS, May 2025 — 53-1040 group row

Employment Level

Very High

633,400 people hold this job — size, not growth

Projection

Not projected

BLS's 2025–35 matrix has no equivalent code for this occupation — mostly military branches, which it does not project.

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 49%

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

Physical work 0%

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

Judgment & influence 48%

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

Routine administration 5%

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 60/100 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

19 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) 30%

6 tasks

Medium exposure (≥ 35%) 47%

9 tasks

Low exposure (below 35%) 22%

4 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

#23701 · Core · 22% automatable

Enforce safety rules and regulations.

physical manipulation — Material handling direction is on-floor supervision

Direct material handling or moving activities.
#23712 · Core · 45% automatable

Resolve customer complaints regarding worker performance or services rendered.

interpersonal — Complaint resolution needs authority and rapport

Resolve customer complaints or problems.
#23704 · Core · 22% automatable

Inspect materials, stock, vehicles, equipment, or facilities to ensure that they are safe, free of defects, and consistent with specifications.

visual inspection — Physical conformance inspection of facilities/equipment

Inspect facilities, equipment or supplies to ensure conformance to standards.
#23714 · Core · 50% automatable

Train workers in proper operational procedures and functions and explain company policies.

information retrieval — AI explains policies; human handles live questions

Explain regulations, policies, or procedures. Train service staff.
#23698 · Core · 55% automatable

Compute or estimate cash, payroll, transportation, or personnel requirements.

decision support — Broad resource determination needs organizational judgment

Determine resource needs.
#23705 · Core · 20% automatable

Inspect work areas or operating equipment to ensure conformance to established standards in areas such as cleanliness or maintenance.

visual inspection — Facility inspection is inherently physical

Inspect facilities. Inspect equipment to ensure proper functioning.
#23709 · Core · 45% automatable

Recommend and implement measures to improve worker motivation, work methods, or customer services.

interpersonal — AI can coach content; mentorship relationship is human

Support the professional development of others. Recommend personnel decisions or human resources activities.
#23706 · Core · 65% automatable

Meet with managers or other supervisors to stay informed of changes affecting operations.

information retrieval — AI synthesizes business info; contextual grasp is human

Maintain knowledge of business operations.
#23703 · Core · 62% automatable

Inform workers about interests or special needs of specific groups.

information retrieval — AI explains policies; human handles live questions

Explain regulations, policies, or procedures.
#23707 · Core · 55% automatable

Observe and evaluate workers' appearance and performance to ensure quality service and compliance with specifications.

decision support — Performance review aided; accountability and context human

Evaluate employee performance.
#23702 · Core · 62% automatable

Explain and demonstrate work tasks to new workers or assign training tasks to experienced workers.

information retrieval — AI explains policies; human handles live questions

Explain regulations, policies, or procedures.
#23713 · Core · 55% automatable

Take disciplinary action to address performance problems.

decision support — Performance review aided; accountability and context human

Evaluate employee performance.
#23696 · Core · 80% automatable

Analyze and record personnel or operational data and write related activity reports.

text generation — Prepare operational reports from data

Prepare operational reports or records.
#23699 · Core · 42% automatable

Confer with customers, supervisors, contractors, or other personnel to exchange information or to resolve problems.

decision support — AI suggests fixes; human resolves in operations

Resolve issues affecting transportation operations.
#23697 · Core · 45% automatable

Apply customer feedback to service improvement efforts.

interpersonal — Complaint resolution needs authority and rapport

Resolve customer complaints or problems.
#23708 · Core · 70% automatable

Participate in continuing education to stay abreast of industry trends and developments.

information retrieval — AI supports study; certification requires human

Maintain professional knowledge or certifications.
#23711 · Core · 75% automatable

Requisition necessary supplies, equipment, or services.

decision support — Ordering via systems automatable; human approves spend

Order materials, supplies, or equipment.
#23700 · Supplemental · 28% automatable

Direct or coordinate the activities of workers, such as flight or car attendants.

interpersonal — Directing service workers requires live human presence

Supervise service workers.
#23710 · Supplemental · 45% automatable

Recruit and hire staff members.

decision support — Broad HR work needs human judgment and accountability

Perform human resources activities.
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Community Sentiment

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Do you agree with the AI automation risk score calculated for this occupation?

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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