Will AI replace first-line supervisors of passenger attendants?AI replacement risk 53% and how the work is changing
Median annual pay
—
National statistics
Top pay (est.)
—
Top 10% —
Pay in 5 years
—est.
2031
Pay in 10 years
—est.
—
Outlook score
46/100
★★☆☆☆ Average
AI replacement risk
53%
Moderate
Job growth (10 yr)
—
BLS projections
Will AI replace First-Line Supervisors of Passenger Attendants? AI replacement risk
53%
Moderate
Ranked #558 safest from AI among all U.S. occupations
Very lowLowModerateHighVery high
How AI is changing this job
A written analysis for this occupation is being prepared.
AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using O*NET work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →
Skills, education and requirements for First-Line Supervisors of Passenger Attendants
Key skills
O*NET skill level ratings (0–7).
Key knowledge areas
What the work involves
Communicating with Supervisors, Peers, or SubordinatesTraining and Teaching OthersUpdating and Using Relevant KnowledgeGuiding, Directing, and Motivating SubordinatesMaking Decisions and Solving ProblemsDeveloping and Building TeamsDocumenting/Recording InformationOrganizing, Planning, and Prioritizing Work
Important abilities
Oral ComprehensionSpeech ClarityOral ExpressionWritten ExpressionProblem SensitivityDeductive Reasoning
Training before entry
Related work experience
Job Zone 3 — medium preparation needed (O*NET)
Difficulty of entry: ★★☆☆☆ Fairly easy (from education, training, experience and Job Zone)
Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: U.S. Bureau of Labor Statistics (OEWS; Employment Projections); O*NET 31.0 Database by USDOL/ETA (CC BY 4.0), modified by Shigoto Zukan. Pay ranges, projections and scores are Shigoto Zukan estimates.