Share and intensity of work current AI systems can materially affect.
SOC 49-9052
Telecommunications Line Installers and Repairers AI displacement risk
Stringing fiber, climbing poles, and splicing cables in the field is physical network construction. AI network monitoring flags faults remotely; building and repairing the physical plant requires hands on the hardware.
Likely potential for exposed tasks to move to software after workflow integration.
Broadband expansion and fiber build-outs are driving demand faster than automation touches the work. The diagnostic layer is digitizing — the layer that tells a crew where to climb — while installation stays manual.
Distribution
Where Telecommunications Line Installers and Repairers sits across 620 tracked roles
Displacement pressure 14 — higher than 8% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
20 O*NET task statements matched to SOC 49-9052. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $74,330 (May 2025, US national). The latest BLS row matched SOC 49-9052.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Telecommunications Line Installers and Repairers
SOC 49-9052 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 14/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Telecommunications Line Installers and Repairers
The current evidence import matched 20 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks20
SOC49-9052
- Core task / ID 11848
Splice cables, using hand tools, epoxy, or mechanical equipment.
- Core task / ID 11847
Inspect or test lines or cables, recording and analyzing test results, to assess transmission characteristics and locate faults or malfunctions.
- Core task / ID 11857
Clean or maintain tools or test equipment.
- Core task / ID 24058
Set up service for customers, installing, connecting, testing, or adjusting equipment, such as digital subscriber line modems.
- Core task / ID 11852
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.
- Core task / ID 11855
Lay underground cable directly in trenches, or string it through conduits running through trenches.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Install and splice cables
Exposure 16, automation 6%, augmentation 28%.
O*NET evidence: Splice cables, using hand tools, epoxy, or mechanical equipment. (ID 11848)
Climb poles and access equipment
Exposure 10, automation 3%, augmentation 16%.
O*NET evidence: Access specific areas to string lines, or install terminal boxes, auxiliary equipment, ... (ID 11852)
Test lines and diagnose faults
Exposure 34, automation 15%, augmentation 56%.
O*NET evidence: Inspect or test lines or cables, recording and analyzing test results, to assess transm... (ID 11847)
Document work and materials
Exposure 46, automation 24%, augmentation 54%.
TaskExposureAutomationAugmentation
Install and splice cables166%28%
Climb poles and access equipment103%16%
Test lines and diagnose faults3415%56%
Document work and materials4624%54%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowFiber Splicing Specialist
Training horizon: 3-6 months. Skill overlap 70. Wage preservation signal 112.
- Earn fiber certifications
- Master fusion splicing
- Document loss testing
adjacent role
LowNetwork Operations Technician
Training horizon: 3-6 months. Skill overlap 60. Wage preservation signal 106.
- Learn monitoring platforms
- Triage network alarms
- Coordinate field dispatches
Comparison guides
Compare the next move before you commit
3-6 months
Telecommunications Line Installers and Repairers to Fiber Splicing Specialist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Telecommunications Line Installers and Repairers into Fiber Splicing Specialist.
3-6 months
Telecommunications Line Installers and Repairers to Network Operations Technician
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Telecommunications Line Installers and Repairers into Network Operations Technician.
What the AI risk score means for Telecommunications Line Installers and Repairers
The displacement pressure score for Telecommunications Line Installers and Repairers is 14. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Document work and materials carries 24% automation pressure, while Test lines and diagnose faults carries 56% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $74,330 (May 2025, US national). Employment context: Network build-out trade with fiber and 5G demand. Typical education: High school diploma plus on-the-job training.
Wage vulnerability is 50, while transition feasibility is 64. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Very low displacement pressure
- Fiber build-out drives demand
- Monitoring directs crews rather than replacing them
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Telecommunications Line Installers and Repairers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Splicing technique
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Line safety
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Fault diagnostics
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Physical stamina
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Fiber Splicing Specialist, such as earn fiber certifications.
- By 90 days, compare internal openings and external postings for Fiber Splicing Specialist or Network Operations Technician and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Telecommunications Line Installers and Repairers
Will AI replace Telecommunications Line Installers and Repairers?
Stringing fiber, climbing poles, and splicing cables in the field is physical network construction. AI network monitoring flags faults remotely; building and repairing the physical plant requires hands on the hardware. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Telecommunications Line Installers and Repairers work are most exposed to AI?
Document work and materials and Test lines and diagnose faults show the strongest automation pressure in this model. Test lines and diagnose faults and Document work and materials are better treated as AI-augmented work.
What should Telecommunications Line Installers and Repairers learn next?
Start with Splicing technique, Line safety, Fault diagnostics. The most practical adjacent paths in this model are Fiber Splicing Specialist and Network Operations Technician.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics