37
/100

SOC 53-2011

Airline Pilots, Copilots, and Flight Engineers

ModerateFrey/Osborne: 18.0%

Risk Score

โš ๏ธ

37/100

Moderate

US Employment

๐Ÿ‘ฅ

99,300

Total workers

Median Wage

๐Ÿ’ฐ

$227K

$99K โ€“ $0

Projected Growth

๐Ÿ“ˆ

+3.9%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

81/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Airline Pilots, Copilots, and Flight Engineers face a risk score of 37/100 โ€” 7 points below the national average of 44. With 81/100 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 $227K ($180K above the national median). The 3 recommended career transitions offer lower AI risk while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 37/100, Airline Pilots, Copilots, and Flight Engineers 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 99,300 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 Airline Pilots, Copilots, and Flight Engineers?

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

AI route optimization reducing dispatcher roles

3

AI traffic management and fleet coordination

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

Use instrumentation to guide flights when visibility is poor.

โ€ข

Start engines, operate controls, and pilot airplanes to transport passengers, mail, or freight, adhering to flight plans, regulations, and procedures.

โ€ข

Work as part of a flight team with other crew members, especially during takeoffs and landings.

โ€ข

Respond to and report in-flight emergencies and malfunctions.

โ€ข

Inspect aircraft for defects and malfunctions, according to pre-flight checklists.

๐Ÿ’ป Technology Skills

โ€ข

Information retrieval or search software

โ€ข

Data base user interface and query software

โ€ข

Object or component oriented development software

โ€ข

Route navigation software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Transportation

โ€ข

English Language

โ€ข

Public Safety and Security

โ€ข

Mechanical

โ€ข

Geography

๐Ÿ“Š vs National Average

Median Wage$227K
+$180K

National avg: $46K

Risk Score37/100
-7

National avg: 44/100

GenAI Exposure81/100
+43

National avg: 38/100

Projected Growth3.9%
+0.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K79%
Ambulance Drivers and Attendants, Except Emergency Medical Technicians28$34K73%
Aircraft Cargo Handling Supervisors29$64K71%