Short answer
Very unlikely. BLS rates mobile heavy equipment mechanics among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do.
AI and jobs
The Bureau of Labor Statistics places mobile heavy equipment mechanics in its low AI exposure category, among the occupations least exposed to current AI. BLS projects employment to change by +6.7% over 2025–2035, against 3.5% for all occupations, with about 15,000 openings a year.
Short answer
Very unlikely. BLS rates mobile heavy equipment mechanics among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do.
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. Mobile Heavy Equipment Mechanics land in the low category: among the occupations least exposed to current AI.
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 +6.7% change in employment over the decade, against 3.5% across all occupations, and about 15,000 openings a year once retirements and career changes are counted. About 176,600 people work in the job today, at a median of $65,510 a year (BLS OEWS, May 2025).
Full mobile heavy equipment mechanic, except engines 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 low exposure category.
Transportation and Material Moving
Operate mechanical boom and cable or tower and cable equipment to lift and move materials, machines, or products in many directions.
Installation, Maintenance, and Repair
Install or repair cables or wires used in electrical power or distribution systems.
Installation, Maintenance, and Repair
Install, service, or repair automatic door mechanisms and hydraulic doors.
Installation, Maintenance, and Repair
Work below surface of water, using surface-supplied air or scuba equipment to inspect, repair, remove, or install equipment and structures.
Installation, Maintenance, and Repair
Install, dismantle, or move machinery and heavy equipment according to layout plans, blueprints, or other drawings.
Questions
Very unlikely. BLS rates mobile heavy equipment mechanics among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do. 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 +6.7% over 2025–2035, against 3.5% for all occupations, with about 15,000 openings a year.
BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Mobile Heavy Equipment Mechanics are in the low category, alongside 202 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, processing information and getting information. The parts that hold up best are repairing and maintaining mechanical equipment, face-to-face discussions and performing general physical activities. 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, mobile heavy equipment mechanics score 66 out of 100, higher than 95% of the occupations we score. The job pays a median of $65,510 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.
Crane and Tower Operator (low exposure, $68,080 median), Electrical Power-Line Installer and Repairer (low exposure, $95,320 median), Mechanical Door Repairer (low exposure, $55,720 median), Commercial Diver (low exposure, $72,990 median). Each is also in the low category, 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.