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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Aircraft Structure, Surfaces, Rigging, and Systems Assemblers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Aircraft assembly is labeled "Somewhat Resilient" because while AI and robots are genuinely starting to take on more tasks in this field — like drilling, inspections, and material handling — the work is complex enough that machines still can't fully replace skilled human hands. Boeing actually *scaled back* automation on the 777X and returned to manual assembly when robots couldn't meet the precision required, which shows just how demanding this job really is.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
Aircraft assembly is labeled "Somewhat Resilient" because while AI and robots are genuinely starting to take on more tasks in this field — like drilling, inspections, and material handling — the work is complex enough that machines still can't fully replace skilled human hands. Boeing actually *scaled back* automation on the 777X and returned to manual assembly when robots couldn't meet the precision required, which shows just how demanding this job really is.
Read full analysisAnalysis of Current AI Resilience
Aircraft Assemblers
Updated Quarterly • Last Update: 5/14/2026

Right now, AI and robots are starting to play a bigger role in aircraft assembly, but they are mostly helping human workers rather than replacing them. Airbus, for example, recently bought UBTech's Walker S2 humanoid robot for early-stage trials in aircraft manufacturing [1], exploring tasks like drilling, fastening, inspection, and material handling — though Airbus stressed that automation is intended to support, rather than replace, human workers, with robotics helping to reduce physically demanding tasks and improve consistency. Computer vision systems are also being used to automate visual inspections, helping catch defects that tired human eyes might miss.
According to the Aerospace Industries Association's 2025 AI report with Accenture [2], AI can help bridge critical workforce gaps and augment human capabilities to preserve expertise. Deloitte's 2026 Aerospace and Defense Outlook [3] estimates that 36% of tasks performed across industrial products manufacturing could benefit from augmenting human capabilities with agentic AI. Notably, Boeing actually reduced automation on the 777X fuselage and went back to manual assembly when robots couldn't match human precision — a reminder that this work is harder for machines than it looks.

Several things will speed up AI adoption in this field. The Aviation Technician Education Council's 2025 Pipeline Report [4] warns of a 10% shortage in certificated mechanics in 2025, with a gap of roughly 10,000 mechanics still expected by 2035, pushing manufacturers to lean on automation. Meanwhile, BCG reports [5] that AI-first aerospace firms are seeing big gains in efficiency and on-time delivery, though only 22% of companies have advanced beyond the proof-of-concept stage with AI, and only 4% are creating substantial value.
Slowing things down: strict FAA safety certification, the high cost of custom robots, union concerns (AI is reportedly part of Boeing-SPEEA contract talks [6]), and the simple fact that real-world aircraft assembly involves tight tolerances, awkward angles, and constant problem-solving that today's robots struggle with. For now, hands-on skills, judgment, and craftsmanship still matter — your job is to learn to work with these new tools, which is exactly the path the industry is paving for the next generation.

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They build and put together parts of airplanes, making sure everything fits and works correctly for safe flying.
Median Wage
$61,680
Jobs (2024)
33,600
Growth (2024-34)
-14.5%
Annual Openings
2,800
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Capture or segregate waste material, such as aluminum swarf, machine cutting fluid, or solvents, for recycling or environmentally responsible disposal.
Clean, oil, or coat system components as necessary before assembly or attachment.
Fit and fasten sheet metal coverings to surface areas or other sections of aircraft prior to welding or riveting.
Read blueprints, illustrations, or specifications to determine layouts, sequences of operations, or identities or relationships of parts.
Set, align, adjust, or synchronize aircraft armament or rigging or control system components to established tolerances or requirements using sighting devices and hand tools.
Attach brackets, hinges, or clips to secure or support components or subassemblies, using bolts, screws, rivets, chemical bonding, or welding.
Cut, trim, file, bend, or smooth parts to ensure proper fit and clearance.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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