Will AI replace Radio, Cellular, and Tower Equipment Installers and Repairers?

This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.

What does a score of 23 mean for a Radio, Cellular, and Tower Equipment Installers and Repairers?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 23 on a 0–100 exposure scale — in the least-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

The highest-exposure tasks are: Complete reports related to project status, progress, or other work details, using computer software. Exposure comes from the published, rubric-scored data release rather than being generated when you open this page.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Radio, Cellular, and Tower Equipment Installers and Repairers

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-shore, aircraft-to-ground communications, and radio equipment in service and emergency vehicles. May test and analyze network coverage.

Also known as: Fiber Optic Technician · Certified Tower Climber · Communications Technician · Communications Tower Climber · Electronic Equipment Repairer · Broadcasting Equipment Mechanic

AI Task Exposure Score

Low exposure

More exposed than 22% of 968 occupations · Rank #727 (1 = most exposed)

This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.

Your free role snapshot

Start with the work, not the headline

This occupation baseline already contains different kinds of work. These are the two ends of its current task range and one useful action you can take now.

Most exposed task

Complete reports related to project status, progress, or other work details, using computer software.

Automatable 68/100 exposure

Most durable task

Climb communication towers to install, replace, or repair antennas or auxiliary equipment used to transmit and receive radio waves.

Durable 3/100 exposure

Useful next step

Make one change to the task mix

Protect the durable core of the role, then use AI to compress the routine work around it before that becomes a mandate.

Want this mapped to your actual week? Know what to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days.

Build my 7/30/90-day action plan — $9

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

Complete reports related to project status, progress, or other work details, using computer software.68

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

Locate tower sites where work is to be performed, using mapping software.50
Take site survey photos or photos of work performed, using digital cameras.45
Read work orders, blueprints, plans, datasheets or site drawings to determine work to be done.42

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

Climb towers to access components, using safety equipment, such as full-body harnesses.3
Climb communication towers to install, replace, or repair antennas or auxiliary equipment used to transmit and receive radio waves.3
Bolt equipment into place, using hand or power tools.8

Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 23 puts Radio, Cellular, and Tower Equipment Installers and Repairers in the least-exposed quarter of analyzed occupations. In practice, exposure this level is about the mix: 1 of 20 analyzed tasks lean automatable, 4 augmentable, and 15 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

$63,520median wage
11,140employed
1,200annual openings
+8.5%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Turn your actual week into a plan

Know which work to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days. Your $9 plan includes a confidence-rated personal score, task matrix, human moat, and only genuinely lower-exposure adjacent roles.

Build my 7/30/90-day action plan — $9

Related roles

Adjacent by skills or family — no exposure claim implied.

How this score was calculated

The score is the plain average of the AI-exposure values of this role’s 20 analyzed tasks (equal task weights in this release — no hidden factors):

Automatable 1 task, averaging 68/100 exposure
Augmentable 4 tasks, averaging 44/100 exposure
Durable 15 tasks, averaging 15/100 exposure

score = (1×68 + 4×44 + 15×15) ÷ 20 ≈ 23

Every task’s exposure value was scored against a published anchored rubric that scores tasks as actually performed — physical, in-person, and accountability requirements included (data release 2026.07.12-r2). The band (Low) is a corpus quartile; the percentile is tie-aware across all 968 occupations.

FAQ — Radio, Cellular, and Tower Equipment Installers and Repairers

Will AI replace Radio, Cellular, and Tower Equipment Installers and Repairers?: This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.
What does a score of 23 mean for a Radio, Cellular, and Tower Equipment Installers and Repairers?: It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 23 on a 0–100 exposure scale — in the least-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
Which tasks in this role are most exposed to AI?: The highest-exposure tasks are: Complete reports related to project status, progress, or other work details, using computer software. Exposure comes from the published, rubric-scored data release rather than being generated when you open this page.
Which parts of this job are most durable?: The most durable responsibilities are: Climb towers to access components, using safety equipment, such as full-body harnesses; Climb communication towers to install, replace, or repair antennas or auxiliary equipment used to transmit and receive radio waves; Bolt equipment into place, using hand or power tools. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
Is this score personalized to me?: No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.

Score version jr-v1 · data release 2026.07.12-r2 · updated 2026-07-13 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology