Short answer
The job is exposed and shrinking. BLS rates the exposure as high and projects employment to fall, so expect fewer roles and more AI in the ones that remain.
AI and jobs
The Bureau of Labor Statistics places telecom technicians in its high AI exposure category, above the middle of the pack: a substantial share of the work overlaps with what AI can do. BLS projects employment to fall by 3.3% over 2025–2035, against 3.5% for all occupations, with about 11,300 openings a year.
Short answer
The job is exposed and shrinking. BLS rates the exposure as high and projects employment to fall, so expect fewer roles and more AI in the ones that remain.
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. Telecom Technicians land in the high category: above the middle of the pack: a substantial share of the work overlaps with what AI can do.
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 -3.3% change in employment over the decade, against 3.5% across all occupations, and about 11,300 openings a year once retirements and career changes are counted. About 140,920 people work in the job today, at a median of $63,890 a year (BLS OEWS, May 2025).
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 or repair cables or wires used in electrical power or distribution systems.
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
Diagnose, adjust, repair, or overhaul buses and trucks, or maintain and repair any type of diesel engines.
Installation, Maintenance, and Repair
Install and repair telecommunications cable, including fiber optics.
Installation, Maintenance, and Repair
Repair, install, or maintain mobile or stationary radio transmitting, broadcasting, and receiving equipment, and two-way radio communications systems used in cellular telecommunications, mobile broadband, ship-to-shor…
Installation, Maintenance, and Repair
Install or repair heating, central air conditioning, HVAC, or refrigeration systems, including oil burners, hot-air furnaces, and heating stoves.
Questions
The job is exposed and shrinking. BLS rates the exposure as high and projects employment to fall, so expect fewer roles and more AI in the ones that remain. 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 fall by 3.3% over 2025–2035, against 3.5% for all occupations, with about 11,300 openings a year.
BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Telecom Technicians are in the high category, alongside 189 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 processing information, repeating the same tasks and email. The parts that hold up best are face-to-face discussions, operating vehicles, mechanized devices, or equipment 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, telecom technicians score 59 out of 100, higher than 83% of the occupations we score. The job pays a median of $63,890 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.
Electrical Power-Line Installer and Repairer (low exposure, $95,320 median), Mobile Heavy Equipment Mechanic, Except Engines (low exposure, $65,510 median), Bus and Truck Mechanic and Diesel Engine Specialist (low exposure, $61,770 median), Telecommunications Line Installer and Repairer (moderate exposure, $74,330 median). Each is in a lower BLS exposure category than telecom technicians, 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.