Airline Pilots, Copilots, and Flight Engineers

With an automation risk score of 14%, Airline Pilots, Copilots, and Flight Engineers has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.

The AI automation risk score for Airline Pilots, Copilots, and Flight Engineers is 14% (2025 data). Overall AI exposure is 33%, with 48% theoretical exposure and 18% observed exposure. The risk trend from 2023 to 2025 is +4 points.

The tasks with the highest automation potential for Airline Pilots, Copilots, and Flight Engineers are: Review weather conditions and file flight plans (68%), Monitor flight instruments and navigation systems (55%), Operate aircraft controls during takeoff, flight, and landing (18%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects +4% employment change for Airline Pilots, Copilots, and Flight Engineers from 2024 to 2034. Combined with an overall AI exposure of 33%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Airline Pilots, Copilots, and Flight Engineers should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.