AI Resilience Report forAviation Inspectors

If you're thinking about a career as an aviation inspector, here's the good news: AI is showing up as a helpful teammate, not a replacement. Most of today's tools are augmenting human inspectors rather than taking over their jobs. For example, a decade after drones were first used for aircraft inspections, the technology is finally making serious headway with regulators and OEMs, and while Mainblades' software already uses AI trained to classify damage on aircraft, technicians still perform manual review of images.

Drone scans can photograph a narrowbody jet in about 90 minutes (versus 16 hours manually), but a certified human still signs off on findings. Engine inspections are seeing similar augmentation: GE Aerospace and Waygate's new AI-guided borescope templates ^[1] use a guided, structured workflow supported by AI that ensures inspectors consistently capture high-quality images, reducing variability between operators. Academic researchers are also testing AI-driven UAVs with image-processing algorithms ^[2] for automated visual inspection of aircraft exteriors.

Generative AI is making the paperwork side faster too — searching maintenance manuals and logs that used to take days now takes minutes.

Adoption is happening, but more slowly than in other industries — and that's largely because of safety. The FAA's AI/ML discipline office ^[3] notes that aviation research focuses on measuring the functionality and performance of AI systems in accordance with the certification framework to assure the safety of aircraft containing AI systems, and EASA's roadmap doesn't expect fully autonomous AI inspection decisions until roughly 2035–2050. Economics are pushing adoption forward, though: Oliver Wyman's 2026 MRO Survey ^[4] found that two-thirds of respondents said finding aircraft technicians and mechanics has become moderately to very challenging, and two-thirds said they are seeing value from AI that is as expected or more than expected — a strong uptick over prior years.

So while AI handles repetitive tasks like records review and image triage, the human skills that matter most — judgment, hands-on troubleshooting, and signing off on airworthiness — remain firmly in your hands. AI really complements technicians well; technicians are very good at finding unexpected damages, and the AI is very good at finding the small ones.