Will AI replace aircraft structure, surfaces, rigging, and systems assemblers?

Unlikely, though parts of the work are changing. About 35m of an 8-hour shift goes to tasks touched by AI working on its own. The other 7h 25m (93%) stays with people. Separately, BLS expects about 5.6% fewer of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 1 of 27 tasks, about 35m of a typical shift. The biggest ones:

• Read blueprints, illustrations, or specifications to determine layouts, sequences of operations, or identities or relationships of parts. (35m a shift, AI mostly does it alone)

Not in workplaces like this one, based on a 2026 review of robot deployments. 22 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 4 physical tasks, no robot has shown it can do the work yet.

7h 25m of a typical shift, or 93%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Assemble parts, fittings, or subassemblies on aircraft, using layout tools, hand tools, power tools, or fasteners, such as bolts, screws, rivets, or clamps. (1h 16m a shift)
• Inspect or test installed units, parts, systems, or assemblies for fit, alignment, performance, defects, or compliance with standards, using measuring instruments or test equipment. (35m a shift)
• Adjust, repair, rework, or replace parts or assemblies to ensure proper operation. (35m a shift)
• Assemble prefabricated parts to form subassemblies. (29m a shift)
• Align, fit, assemble, connect, or install system components, using jigs, fixtures, measuring instruments, hand tools, or power tools. (29m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 100% use their hands on tools, objects or controls more than half the time
• 80% talk face to face with others every day
• 66% work at arm's length or closer to other people

On Indeed, job postings in the Production & Manufacturing sector are at 124% of their February 2020 level (all U.S. postings: 104%), up 12.6% from a year earlier, as of Oct 9, 2026. BLS separately expects about 3,100 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $65,380 a year ($31.43 an hour), 28% above the median for all U.S. jobs ($50,980). Most people in this job earn between $47,310 and $107,500 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects a decline of 5.6% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 33,000 jobs in 2035. Even so, it expects about 3,100 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 34,000 people in the U.S., roughly 0.02% of all workers (BLS, May 2025). That makes it the 453rd largest of the 796 jobs on this site. BLS expects about 33,000 in 2035.

The most common requirement is a high school diploma: about 55% of people in the job said so in the official O*NET survey. O*NET rates the job at level 2 of 5 for preparation, which usually means: high school diploma, some training. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Equipment Maintenance, Quality Control Analysis, Time Management, Complex Problem Solving
• Get strong at the parts of the job that stay with people (listed above), which take 7h 25m of a typical shift
• Tools employers list: Microsoft Excel, Microsoft Office software, Microsoft Outlook, Microsoft Word, SAP software
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Computer Numerically Controlled Tool Operators (1h 22m touched, $51k median pay)
• Rolling Machine Setters, Operators, and Tenders, Metal and Plastic (1h 4m touched, $50k median pay)

Each task carries its own evidence label. For this job: 1 observed in real AI use, 26 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.