Short answer
Unlikely. BLS rates the work's exposure to AI as moderate, below the middle of the pack, and still projects employment to grow faster than average.
AI and jobs
The Bureau of Labor Statistics places industrial machinery mechanics in its moderate AI exposure category, below the middle of the pack: some of the work overlaps with what AI can do, much of it does not. BLS projects employment to change by +17.8% over 2025–2035, against 3.5% for all occupations, with about 44,400 openings a year.
Short answer
Unlikely. BLS rates the work's exposure to AI as moderate, below the middle of the pack, and still projects employment to grow faster than average.
The federal measure
The Bureau of Labor Statistics publishes a relative AI exposure category for each occupation it projects, built from five public measures of where AI could be, or already is, used to assist with or complete the work. Industrial Machinery Mechanics land in the moderate category: below the middle of the pack: some of the work overlaps with what AI can do, much of it does not.
Where this job sits on the BLS scale
786 occupations in the NueCareer bank, in BLS's four relative categories; width shows how many fall in each
Source: BLS Employment Projections, AI exposure categories supplemental table.
Inside the work
O*NET rates how important each work activity is to an occupation and how often each working condition comes up. The ratings below are the ones that move the job's NueCareer AI-resilience score the most: the ones that pull it up, and the ones that pull it down. Only ratings clearly above the midpoint count.
Physical, hands-on and person-to-person work
Routine, repeatable and screen-based work
O*NET 31.0 Database task statements, most important first.
The jobs
Exposure says where AI meets the work. The BLS projection says what the labor market is expected to do over 2025–2035. BLS projects +17.8% change in employment over the decade, against 3.5% across all occupations, and about 44,400 openings a year once retirements and career changes are counted. About 439,640 people work in the job today, at a median of $64,520 a year (BLS OEWS, May 2025).
Full industrial machinery mechanic profile: pay by state, entry route and skills
Options
Careers O*NET lists as related to the work, or in the same field at similar pay, that BLS places in a lower exposure category.
Installation, Maintenance, and Repair
Install, dismantle, or move machinery and heavy equipment according to layout plans, blueprints, or other drawings.
Installation, Maintenance, and Repair
Diagnose, adjust, repair, or overhaul mobile mechanical, hydraulic, and pneumatic equipment, such as cranes, bulldozers, graders, and conveyors, used in construction, logging, and mining.
Installation, Maintenance, and Repair
Repair, maintain, or install electric motors, wiring, or switches.
Production
Construct, assemble, or rebuild machines, such as engines, turbines, and similar equipment used in such industries as construction, extraction, textiles, and paper manufacturing.
Questions
Unlikely. BLS rates the work's exposure to AI as moderate, below the middle of the pack, and still projects employment to grow faster than average. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to change by +17.8% over 2025–2035, against 3.5% for all occupations, with about 44,400 openings a year.
BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Industrial Machinery Mechanics are in the moderate category, alongside 193 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.
In O*NET's description of the work, the parts that overlap most with what AI handles well are documenting/recording information, getting information and working with computers. The parts that hold up best are repairing and maintaining mechanical equipment, face-to-face discussions and hands-on work with tools and objects. These come from O*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.
On NueCareer's AI-resilience score, built from O*NET work activities, industrial machinery mechanics score 55 out of 100, higher than 74% of the occupations we score. The job pays a median of $64,520 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.
Millwright (low exposure, $65,700 median), Mobile Heavy Equipment Mechanic, Except Engines (low exposure, $65,510 median), Electric Motor, Power Tool, and Related Repairer (low exposure, $56,210 median), Engine and Other Machine Assembler (low exposure, $53,710 median). Each is in a lower BLS exposure category than industrial machinery mechanics, and most are listed by O*NET as related to the work.
The AI exposure category is the Bureau of Labor Statistics'. The AI-resilience score and the activity breakdown are NueCareer's analysis of O*NET 31.0 Database data (method), not a federal figure. More: jobs most exposed to AI, jobs least exposed to AI, or check any job.