Aircraft Mechanics and Service Technicians

Read and interpret maintenance manuals, service bulletins, and other specifications to determine the feasibility and method of repairing or replacing malfunctioning or damaged components.

AI: Fully automatable - Reading and interpreting maintenance manuals, service bulletins, and specifications to propose feasible repair/replacement methods is knowledge work that AI can perform reliably by 2025, though humans retain final responsibility.

Maintain repair logs, documenting all preventive and corrective aircraft maintenance.

AI: Fully automatable - Maintaining and generating repair logs is primarily data ingestion, organization, and text generation which AI systems can fully automate and integrate with maintenance databases and sensors.

Cure bonded structures, using portable or stationary curing equipment.

AI: Fully automatable - Curing bonded structures is a controlled thermal/process operation that can be fully automated by programmable curing equipment and AI control systems once parts are properly fixtured.

Listen to operating engines to detect and diagnose malfunctions, such as sticking or burned valves.

AI: Fully automatable - AI-driven acoustic analysis and engine-health monitoring systems can reliably detect and often diagnose anomalies from operating sounds, enabling full automation of this diagnostic task in many cases.

Inventory and requisition or order supplies, parts, materials, and equipment.

AI: Fully automatable - Inventory management and automated requisitioning are routine software-driven tasks that modern AI integrated with ERP systems can fully handle.

Examine and inspect aircraft components, including landing gear, hydraulic systems, and deicers to locate cracks, breaks, leaks, or other problems.

AI: Partial - AI-enabled vision and sensor tools can detect many defects in aircraft components, but hands-on inspection, complex diagnosis, and regulatory requirements mean inspections are only partially automatable in 2025.

Conduct routine and special inspections as required by regulations.

AI: Partial - While AI can schedule, assist, and analyze data for inspections, regulatory and certification requirements typically mandate certified human inspectors, so AI can only partially perform these inspections.

Inspect completed work to certify that maintenance meets standards and that aircraft are ready for operation.

AI: Partial - AI can review completed work and flag issues, but legal certification that maintenance meets standards and approval for operation generally requires a human mechanic's sign-off, so AI cannot fully replace the role.

Inspect airframes for wear or other defects.

AI: Partial - Computer vision and sensor systems can detect many surface defects and flag issues, but comprehensive airframe inspection (including tactile checks and complex NDT interpretation) is not yet fully automatable.

Modify aircraft structures, space vehicles, systems, or components, following drawings, schematics, charts, engineering orders, and technical publications.

AI: Partial - AI can interpret drawings, generate step‑by‑step procedures and support robotic tooling, but physically modifying complex aircraft structures still requires skilled human technicians and oversight.

Measure parts for wear, using precision instruments.

AI: Partial - AI can control precision measurement machines and analyze measurement data, but field measurements using hand tools and nuanced judgment about wear still require human operators in many contexts.

Examine engines through specially designed openings while working from ladders or scaffolds, or use hoists or lifts to remove the entire engine from an aircraft.

AI: Partial - Examining engines through openings and removing whole engines requires complex physical manipulation, scaffolding/hoisting and judgment that remain primarily manual despite mechanized aids.

Check for corrosion, distortion, and invisible cracks in the fuselage, wings, and tail, using x-ray and magnetic inspection equipment.

AI: Partial - AI can analyze x-ray and magnetic inspection data to detect defects, but equipment setup, probe positioning, and nuanced judgement in complex cases keep the overall process only partially automated.

Obtain fuel and oil samples and check them for contamination.

AI: Partial - Lab analysis of fuel/oil samples can be highly automated and AI can interpret contamination results, but physically obtaining representative samples in the field is only partially automatable.

Maintain, repair, and rebuild aircraft structures, functional components, and parts, such as wings and fuselage, rigging, hydraulic units, oxygen systems, fuel systems, electrical systems, gaskets, or seals.

AI: Partial - AI can assist with diagnostics, procedures and quality checks and enable some automated repairs, but comprehensive maintenance, repair and rebuild of aircraft structures remains largely manual and human‑led.

Disassemble engines and inspect parts, such as turbine blades or cylinders, for corrosion, wear, warping, cracks, and leaks, using precision measuring instruments, x-rays, and magnetic inspection equipment.

AI: Partial - Engine disassembly is a hands-on mechanical task, though inspection of removed parts with precision instruments and imaging can be largely automated; overall capability is partial.

Replace or repair worn, defective, or damaged components, using hand tools, gauges, and testing equipment.

AI: Partial - AI can guide technicians, control some test rigs and interpret results, yet the hands‑on replacement and fine mechanical repairs using hand tools are not fully automated.

Read and interpret pilots' descriptions of problems to diagnose causes.

AI: Partial - NLP and diagnostic models can parse pilot reports and propose likely causes, but ambiguous descriptions and safety requirements mean final diagnosis still needs human validation.

Test operation of engines and other systems, using test equipment, such as ignition analyzers, compression checkers, distributor timers, or ammeters.

AI: Partial - Automated test stands and AI analysis can run and interpret many engine/system tests, but field hookup, safety checks and some test procedures still require human involvement.

Spread plastic film over areas to be repaired to prevent damage to surrounding areas.

AI: Partial - Vision‑guided robots and jigs can automate simple masking in controlled settings, but field variability and the dexterity/foresight required mean human technicians are still needed in 2025.

Measure the tension of control cables.

AI: Partial - Sensorized tension meters and AI analysis can measure and evaluate cable tension, but the physical act of accessing and adjusting control cables in varied aircraft environments is not fully automated.

Remove or install aircraft engines, using hoists or forklift trucks.

AI: Partial - AI can assist by controlling hoists/forklifts and providing alignment guidance, but engine removal/installation is safety‑critical and requires human oversight and certification.

Assemble and install electrical, plumbing, mechanical, hydraulic, and structural components and accessories, using hand or power tools.

AI: Partial - Robotics and AI guidance can handle repetitive or standardized assembly tasks, but the wide variety, fine manual dexterity, and judgment in aircraft systems limit full automation today.

Locate and mark dimensions and reference lines on defective or replacement parts, using templates, scribes, compasses, and steel rules.

AI: Partial - Computer vision and automated marking tools can locate and scribe in controlled conditions, yet variable part geometries and precision checks still require human verification and adjustment.

Fabricate defective sections or parts, using metal fabricating machines, saws, brakes, shears, and grinders.

AI: Partial - CNC and additive machines can fabricate many replacement sections, but manual finishing, custom fitment, and repair judgments prevent complete automation in typical maintenance contexts.

Reassemble engines following repair or inspection and reinstall engines in aircraft.

AI: Partial - AI and powered tools can guide and assist reassembly, but reassembling and reinstalling engines remain complex, safety‑critical tasks that require certified human technicians.

Clean, refuel, and change oil in line service aircraft.

AI: Partial - Refueling and some fluid servicing have partial automation and remote monitoring, but line‑service oil changes and varied aircraft configurations generally still need human technicians.

Service and maintain aircraft and related apparatus by performing activities such as flushing crankcases, cleaning screens, and or moving parts.

AI: Partial - Routine servicing steps (flushing, automated cleaning) can be mechanized, but diverse equipment, inspections, and exception handling keep human involvement necessary.

Trim and shape replacement body sections to specified sizes and fits and secure sections in place, using adhesives, hand tools, and power tools.

AI: Partial - Robotic trimming/CNC can handle standardized panel work, but bespoke shaping, adhesive work, and on‑aircraft fit adjustments require skilled human labor.

Install and align repaired or replacement parts for subsequent riveting or welding, using clamps and wrenches.

AI: Partial - Precise installation and alignment of repaired or replacement parts involves complex force control, heavy lifting, and on-the-fly judgment—robotic assistance exists but full autonomous completion is limited.

Remove or cut out defective parts or drill holes to gain access to internal defects or damage, using drills and punches.

AI: Partial - Physical cutting and drilling in variable, safety-critical aircraft structures requires dexterous manipulation and judgment; robots can assist but cannot fully perform this reliably in typical field environments as of 2025.

Clean engines, sediment bulk and screens, and carburetors, adjusting carburetor float levels.

AI: Partial - AI and robotic tooling can assist or semi‑automate cleaning and float adjustment with guided procedures and sensors, but delicate manual dexterity, inspection judgment and safety/regulatory signoff prevent full autonomous execution by 2025.

Determine repair limits for engine hot section parts.

AI: Partial - AI can analyze measurements, non‑destructive inspection data and manuals to recommend repair limits, but final judgment and certification for engine hot‑section parts typically require experienced human technicians and regulatory approval.

Clean, strip, prime, and sand structural surfaces and materials to prepare them for bonding.

AI: Partial - Surface preparation (cleaning, stripping, priming, sanding) is partially automatable in controlled settings, but variable geometries and on-aircraft work limit full automation.

Communicate with other workers to coordinate fitting and alignment of heavy parts, or to facilitate processing of repair parts.

AI: Partial - AI can generate communications and coordinate schedules, but real-time coordination of heavy-part fitting requires human situational awareness and safety-driven interaction.

Remove, inspect, repair, and install in-flight refueling stores and external fuel tanks.

AI: Partial - Robotic assist systems can help with removal, inspection and installation of large fuel stores, yet the complexity, variability and strict safety/airworthiness requirements mean full autonomous repair/installation is not generally viable in 2025.

Prepare and paint aircraft surfaces.

AI: Partial - Automated painting systems can handle many aircraft surfaces in controlled settings, but complex masking, surface prep and on‑aircraft variability usually require human intervention for high‑quality, certified results.

Accompany aircraft on flights to make in-flight adjustments and corrections.

AI: Not automatable - Physically accompanying an aircraft in flight to perform adjustments is inherently a human presence task and cannot be automated by AI as of 2025.