AI Automation Index

Will AI Replace Telecommunications Line Installers and Repairers?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Telecommunications Line Installers and Repairers. Run the upskilling simulator.

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• Developed & audited by Gini Loh

AI Vulnerability

50% risk score

Median Salary

$74,330 / year

Growth Demand

Medium

Constituent Task Mix

We parsed O*NET's 19 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 5%
Medium Automation Risk (Cognitive/Technical) 89%
Low Automation Risk (Strategy/Leadership) 6%

How would you survive?

Automate your routine tasks and design your day around strategic advisory to future-proof this score.

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constituent Tasks

Set up service for customers, installing, connecting, testing, or adjusting equipment.

Semi-structured task combining routine and non-routine responsibilities.

Travel to customers' premises to install, maintain, or repair audio and visual electronic reception equipment or accessories.

Semi-structured task combining routine and non-routine responsibilities.

Measure signal strength at utility poles, using electronic test equipment.

Semi-structured task combining routine and non-routine responsibilities.

Inspect or test lines or cables, recording and analyzing test results, to assess transmission characteristics and locate faults or malfunctions.

Routine cognitive or manual task with high vulnerability to automation.

Splice cables, using hand tools, epoxy, or mechanical equipment.

Semi-structured task combining routine and non-routine responsibilities.

Access specific areas to string lines, or install terminal boxes, auxiliary equipment, or appliances, using bucket trucks, climbing poles or ladders, or entering tunnels, trenches, or crawl spaces.

Semi-structured task combining routine and non-routine responsibilities.

Clean or maintain tools or test equipment.

Semi-structured task combining routine and non-routine responsibilities.

String cables between structures and lines from poles, towers, or trenches, and pull lines to proper tension.

Semi-structured task combining routine and non-routine responsibilities.

Pull up cable by hand from large reels mounted on trucks.

Semi-structured task combining routine and non-routine responsibilities.

Lay underground cable directly in trenches, or string it through conduits running through trenches.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Pull cable through ducts by hand or with winches.

Semi-structured task combining routine and non-routine responsibilities.

Dig trenches for underground wires or cables.

Semi-structured task combining routine and non-routine responsibilities.

Explain cable service to subscribers after installation, and collect any installation fees due.

Semi-structured task combining routine and non-routine responsibilities.

Place insulation over conductors, or seal splices with moisture-proof covering.

Semi-structured task combining routine and non-routine responsibilities.

Compute impedance of wires from poles to houses to determine additional resistance needed for reducing signals to desired levels.

Semi-structured task combining routine and non-routine responsibilities.

Install equipment such as amplifiers or repeaters to maintain the strength of communications transmissions.

Semi-structured task combining routine and non-routine responsibilities.

Use a variety of construction equipment to complete installations, such as digger derricks, trenchers, or cable plows.

Semi-structured task combining routine and non-routine responsibilities.

Fill and tamp holes, using cement, earth, and tamping devices.

Semi-structured task combining routine and non-routine responsibilities.

Dig holes for power poles, using power augers or shovels, set poles in place with cranes, and hoist poles upright, using winches.

Semi-structured task combining routine and non-routine responsibilities.

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Community Sentiment

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O*NET Methodology

O*NET Data Source

This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.

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