60
/100

SOC 53-6061

Passenger Attendants

ElevatedFrey/Osborne: 75.0%

Risk Score

โš ๏ธ

60/100

Elevated

US Employment

๐Ÿ‘ฅ

25,340

Total workers

Median Wage

๐Ÿ’ฐ

$38K

$29K โ€“ $50K

Projected Growth

๐Ÿ“ˆ

+4.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

53/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Passenger Attendants face a risk score of 60/100 โ€” 16 points above the national average of 44. With 53/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $38K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 60/100, Passenger Attendants faces moderate automation pressure. While tasks like drone delivery displacing last-mile logistics workers are increasingly handled by AI, the role retains significant human elements. The 25,340 workers in this occupation should focus on strengthening skills in emergency situation response and quick decision-making and manual loading of irregular and fragile cargo to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Passenger Attendants?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Drone delivery displacing last-mile logistics workers

2

Automated warehouse sorting and loading systems

3

Autonomous vehicle and self-driving truck technology

4

AI route optimization reducing dispatcher roles

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Emergency situation response and quick decision-making

โœ“

Manual loading of irregular and fragile cargo

โœ“

Customer interaction and conflict resolution during delivery

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Secure passengers for transportation by buckling seatbelts or fastening wheelchairs with tie-down straps.

โ€ข

Provide boarding assistance to elderly, sick, or injured people.

โ€ข

Respond to passengers' questions, requests, or complaints.

โ€ข

Determine or facilitate seating arrangements.

โ€ข

Provide customers with information on routes, gates, prices, timetables, terminals, or concourses.

๐Ÿ’ป Technology Skills

โ€ข

Calendar and scheduling software

โ€ข

Electronic mail software

โ€ข

Office suite software

โ€ข

Operating system software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Transportation

โ€ข

English Language

โ€ข

Customer and Personal Service

โ€ข

Public Safety and Security

โ€ข

Psychology

๐Ÿ“Š vs National Average

Median Wage$38K
$-9K

National avg: $46K

Risk Score60/100
+16

National avg: 44/100

GenAI Exposure53/100
+15

National avg: 38/100

Projected Growth4.7%
+1.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K70%
Aircraft Cargo Handling Supervisors29$64K77%
Air Transportation Workers31$107K73%