45
/100

SOC 53-2031

Flight Attendants

ElevatedFrey/Osborne: 35.0%

Risk Score

โš ๏ธ

45/100

Elevated

US Employment

๐Ÿ‘ฅ

130,110

Total workers

Median Wage

๐Ÿ’ฐ

$67K

$34K โ€“ $138K

Projected Growth

๐Ÿ“ˆ

+9.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

53/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Flight Attendants face a risk score of 45/100 โ€” 1 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 $67K ($21K above the national median). 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 45/100, Flight Attendants faces moderate automation pressure. While tasks like autonomous vehicle and self-driving truck technology are increasingly handled by AI, the role retains significant human elements. The 130,110 workers in this occupation should focus on strengthening skills in navigating unpredictable road and weather conditions and customer interaction and conflict resolution during delivery to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Flight Attendants?

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

โš ๏ธ Top Risk Factors

1

Autonomous vehicle and self-driving truck technology

2

Automated warehouse sorting and loading systems

3

Predictive maintenance reducing manual inspection needs

4

AI route optimization reducing dispatcher roles

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating unpredictable road and weather conditions

โœ“

Customer interaction and conflict resolution during delivery

โœ“

Manual loading of irregular and fragile cargo

โœ“

Emergency situation response and quick decision-making

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

Verify that first aid kits and other emergency equipment, including fire extinguishers and oxygen bottles, are in working order.

โ€ข

Announce and demonstrate safety and emergency procedures, such as the use of oxygen masks, seat belts, and life jackets.

โ€ข

Monitor passenger behavior to identify threats to the safety of the crew and other passengers.

โ€ข

Walk aisles of planes to verify that passengers have complied with federal regulations prior to takeoffs and landings.

โ€ข

Direct and assist passengers in emergency procedures, such as evacuating a plane following an emergency landing.

๐Ÿ’ป Technology Skills

โ€ข

Calendar and scheduling software

โ€ข

Computer based training software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Public Safety and Security

โ€ข

English Language

โ€ข

Transportation

โ€ข

Psychology

๐Ÿ“Š vs National Average

Median Wage$67K
+$21K

National avg: $46K

Risk Score45/100
+1

National avg: 44/100

GenAI Exposure53/100
+15

National avg: 38/100

Projected Growth9.2%
+5.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K75%
Air Transportation Workers31$107K73%
Ship Engineers33$101K84%