Overview: On November 1st, ADS Advance, a publication under the UK’s aerospace, defence, security and space industries association (ADS), published an article discussing the impact of AI and automation on employment in the UK’s civil aviation sector. The article’s main conclusion is that jobs involving repetitive tasks, such as check-in, ticketing, reservations, and back-office administration, are most likely to be affected, while roles like pilots, aircraft maintenance engineers, and air traffic controllers are less susceptible to replacement due to their safety-critical nature. This article sparked industry discussions about whether these jobs will disappear or transform. It also aligns with the latest passenger survey conducted by the International Air Transport Association (IATA), which reveals a trend towards passenger self-service.
The analysis outlines a clear trajectory. For passengers, online check-in, self-service kiosks, and self-service baggage check-in have become commonplace. Online check-in, which began as a trial by individual airlines in 1999, has gradually become an industry standard, and now a large number of passengers can complete the entire process from arrival to boarding without interacting with staff. In the ticketing and booking process, standardized transactions have largely shifted to online platforms, leading to a significant reduction in traditional ticketing positions. In the background, software can now handle routine tasks such as data entry, document processing, report generation, and scheduling, leading to a decrease in the demand for corresponding positions.
However, ADS Advance emphasizes that in most cases, job roles are evolving rather than disappearing entirely. Complex scenarios such as rebooking and refund disputes after flight cancellations, and handling special travel requests, still heavily rely on human intervention. As passengers become more capable of handling issues themselves, the remaining problems that require human assistance tend to be more challenging. Therefore, companies increasingly need employees who can manage AI systems, verify their output, and provide backup when the systems fail – "the ability to supervise AI" is becoming a new skill requirement for frontline positions.
Firsthand experiences also confirm this discrepancy. According to The Cool Down, on October 31, some Delta Airlines passengers reported that after the airline shifted its SMS customer service to an AI application, they were unable to get a human response for two consecutive days. This suggests that an "AI-first" customer service structure, if lacking a smooth human fallback option, may end up sacrificing passenger experience in order to save costs.
The International Air Transport Association (IATA) released its 2026 Global Passenger Survey (GPS) on October 28, revealing that nearly half of travelers have used AI for trip planning, with 21% using it to search for flights. Regionally, 72% of travelers in the Middle East use AI for trip planning, compared to 35% in Europe. The expansion of AI-powered self-service capabilities for passengers is objectively accelerating the reduction of functions in front-end roles such as check-in, information, and ticketing, and is also shifting human resources towards fault resolution and service recovery.
Regarding pilots, maintenance personnel, and air traffic controllers, the article's assessment aligns with the general consensus within the industry: safety is the primary consideration for these roles, and technology can provide assistance, but the ultimate responsibility for critical decisions still rests with humans. While some companies are exploring the possibility of fully autonomous passenger aircraft, the safety validation, regulatory framework, and public acceptance are all far from mature, and such aircraft are unlikely to appear in regular passenger service in the short term.
What truly deserves attention is not "which jobs will disappear," but whether the speed of skill adaptation can keep pace with the deployment of AI. For civil aviation companies and professionals, the level of investment in training and job transition mechanisms will determine whether this impact will be a "gradual slope" or a "sudden cliff." For regulators, the accountability of AI customer service and the availability of human backup channels may soon become new issues in consumer protection.