What does a score of 39 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 39 on a 0–100 exposure scale — in the second quartile 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?

This role has no strongly automatable task in the current data release.

Which parts of this job are most durable?

The most durable responsibilities are: Inspect completed work to ensure all hardware is tight, antennas are level, hangers are properly fastened, proper support is in place, or adequate weather proofing has been installed; 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. 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.

Radio, Cellular, and Tower Equipment Installers and Repairers

Radio, Cellular, and Tower Equipment Installers and Repairers — AI exposure, safer roles, and a pivot plan.

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

AI Task Exposure Score

Moderate exposure

More exposed than 27% of 968 occupations · Rank #690 (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.

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Most exposed tasks

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

No strongly automatable task in the current data release.

Augmentable tasks

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

Complete reports related to project status, progress, or other work details, using computer software.52
Calibrate and align components, using scales, gauges, and other measuring instruments.48
Perform maintenance or repair work on existing tower equipment, using hand or power tools.45

Most durable tasks

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

Inspect completed work to ensure all hardware is tight, antennas are level, hangers are properly fastened, proper support is in place, or adequate weather proofing has been installed.26
Climb towers to access components, using safety equipment, such as full-body harnesses.34
Climb communication towers to install, replace, or repair antennas or auxiliary equipment used to transmit and receive radio waves.34

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 39 puts Radio, Cellular, and Tower Equipment Installers and Repairers in the second quartile of analyzed occupations. In practice, exposure this level is about the mix: 0 of 20 analyzed tasks lean automatable, 16 augmentable, and 4 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.

One next move: adopt AI deliberately on the augmentable tasks and build visible evidence of the durable ones.

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.

Your week probably doesn’t match the average

This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.

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Related roles

Adjacent by skills or family — no exposure claim implied.

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

What does a score of 39 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 39 on a 0–100 exposure scale — in the second quartile 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?: This role has no strongly automatable task in the current data release.
Which parts of this job are most durable?: The most durable responsibilities are: Inspect completed work to ensure all hardware is tight, antennas are level, hangers are properly fastened, proper support is in place, or adequate weather proofing has been installed; 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. 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 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology