Telecommunications Equipment Installers and Repairers, Except Line Installers

Test repaired, newly installed, or updated equipment to ensure that it functions properly and conforms to specifications, using test equipment and observation.

AI: Fully automatable - Automated test equipment and software scripts, often enhanced by AI for interpretation, can fully run acceptance and functional tests and verify conformance when equipment provides test interfaces.

Test connections to ensure that power supplies are adequate and that communications links function.

AI: Fully automatable - Testing electrical and communications links can be fully automated with existing diagnostic tools, remote monitoring, and AI-driven test sequences as of 2025.

Note differences in wire and cable colors so that work can be performed correctly.

AI: Fully automatable - Identifying wire and cable colors is a straightforward visual-recognition task that computer vision systems can reliably perform today.

Maintain computer and manual records pertaining to facilities and equipment.

AI: Fully automatable - Maintaining computer and manual records is readily automatable with software, sensors, and AI for data entry, logging, and report generation.

Communicate with bases, using telephones or two-way radios to receive instructions or technical advice, or to report equipment status.

AI: Fully automatable - Automated status reporting and two-way communications (including voice agents and integrated alerts) are feasible and widely used for routine instruction and status updates in 2025.

Perform database verifications, using computers.

AI: Fully automatable - Database verification is a digital, rule-based task that can be fully automated with RPA and AI tools for lookup, validation, and reporting.

Request support from technical service centers when on-site procedures fail to solve installation or maintenance problems.

AI: Fully automatable - Generating support requests and contacting technical service centers can be fully automated by AI systems that create tickets, summarize diagnostics, and communicate with support channels.

Program computerized switches and switchboards to provide requested features.

AI: Fully automatable - AI systems can generate, validate, and apply configurations to computerized switches and switchboards via APIs and management interfaces, enabling full automation of feature programming.

Enter codes needed to correct electronic switching system programming.

AI: Fully automatable - Entering corrective codes into electronic switching systems can be automated through remote access, scripts, and orchestration tools, allowing AI to perform this task fully.

Install updated software, and programs that maintain existing software or provide requested features such as time-correlated call routing.

AI: Fully automatable - Installing updates and software that maintain or add features on switching systems is routinely automated via remote deployment and orchestration tools that AI can manage fully.

Refer to manufacturers' manuals to obtain maintenance instructions pertaining to specific malfunctions.

AI: Fully automatable - Retrieving and interpreting manufacturer manuals for specific malfunctions is a text‑based retrieval and extraction task that AI can fully perform.

Provide input into the design and manufacturing of new equipment.

AI: Fully automatable - AI tools can fully provide input into design and manufacturing by generating designs, simulations, optimizations, and specification drafts that engineers can review.

Demonstrate equipment to customers and explain how it is to be used, and respond to any inquiries or complaints.

AI: Partial - AI chatbots and virtual demos can handle many demonstrations and inquiries remotely, but in‑person hands‑on demonstrations and complex complaint resolution often still need human presence or supervision.

Test circuits and components of malfunctioning telecommunications equipment to isolate sources of malfunctions, using test meters, circuit diagrams, polarity probes, and other hand tools.

AI: Partial - AI can analyze measurement data, run diagnostic algorithms, and control automated test equipment, but isolating faults with handheld probes and complex field maneuvers typically requires human intervention.

Climb poles and ladders, use truck-mounted booms, and enter areas such as manholes and cable vaults to install, maintain, or inspect equipment.

AI: Partial - Physical climbing, working in manholes, and operating boom trucks are human‑centred tasks; AI can assist with planning, remote monitoring, or specialized robotics but cannot universally replace human technicians yet.

Assemble and install communication equipment such as data and telephone communication lines, wiring, switching equipment, wiring frames, power apparatus, computer systems, and networks.

AI: Partial - AI can design, configure, and remotely provision many communication systems, but the physical assembly and varied field installation of wiring and hardware remain primarily manual work.

Run wires between components and to outside cable systems, connecting them to wires from telephone poles or underground cable accesses.

AI: Partial - Running and physically routing wires and making outside splices requires variable on-site manual dexterity and access that 2025 AI/robotics can only partially automate in controlled settings.

Drive crew trucks to and from work areas.

AI: Partial - Autonomous driving technology can assist or handle some driving scenarios, but reliably driving crew trucks to varied work sites in all real‑world conditions is not fully automated as of 2025.

Inspect equipment on a regular basis to ensure proper functioning.

AI: Partial - Routine inspections can be largely supported by sensors, cameras, and predictive analytics but still often require human judgment and physical checks in varied environments.

Collaborate with other workers to locate and correct malfunctions.

AI: Partial - AI can assist collaboration via diagnostics, coordination tools, and remote guidance, but real-world team troubleshooting and hands-on coordination remain partially human-dependent.

Remove loose wires and other debris after work is completed.

AI: Partial - Physical cleanup of loose wires and debris is simple but requires adaptable manual work in cluttered spaces that robotics can only partially handle in 2025.

Repair or replace faulty equipment such as defective and damaged telephones, wires, switching system components, and associated equipment.

AI: Partial - Diagnosis can be automated, but the varied physical tasks of repairing or replacing diverse telecommunication hardware still require human skill in many situations.

Route and connect cables and lines to switches, switchboard equipment, and distributing frames, using wire-wrap guns or soldering irons to connect wires to terminals.

AI: Partial - Routing and physically connecting cables and performing soldering/wire‑wrap are dexterous, context‑dependent manual tasks that AI can guide but not fully perform in typical field settings.

Designate cables available for use.

AI: Partial - AI can analyze inventory records and cable maps to recommend which cables are available but cannot physically verify or tag cables on site.

Remove and remake connections to change circuit layouts, following work orders or diagrams.

AI: Partial - Removing and remaking physical connections to reconfigure circuits involves precise manual manipulation and contextual decision-making that is only partially automatable today.

Diagnose and correct problems from remote locations, using special switchboards to find the sources of problems.

AI: Partial - AI-driven remote diagnostics and automated tools can locate many faults via switchboard telemetry and sometimes apply configuration fixes, but hardware repairs and some troubleshooting require on-site technicians.

Clean and maintain tools, test equipment, and motor vehicles.

AI: Partial - Cleaning and routine maintenance are physical tasks that can be assisted by instructions or specialized robots but are not fully automatable in typical field settings as of 2025.

Analyze test readings, computer printouts, and trouble reports to determine equipment repair needs and required repair methods.

AI: Partial - AI can analyze readings and reports and propose diagnostics, but complex, context-sensitive troubleshooting and final repair decisions still require human expertise in many cases.

Examine telephone transmission facilities to determine requirements for new or additional telephone services.

AI: Partial - AI can analyze transmission data, blueprints, and remote sensor feeds to infer requirements for additional services, but accurate determination often needs physical inspection and local context by humans.

Measure distances from landmarks to identify exact installation sites for equipment.

AI: Partial - GPS, mapping, and drone imagery let AI compute distances from landmarks in many cases, but precise on-the-ground measurements and adjustments for site-specific obstacles usually require human verification.

Adjust or modify equipment to enhance equipment performance or to respond to customer requests.

AI: Partial - Determining and executing physical adjustments often requires hands-on work and situational judgment, so AI can assist with guidance but not fully perform the task widely.

Determine viability of sites through observation, and discuss site locations and construction requirements with customers.

AI: Partial - AI can evaluate site data, simulate viability, and draft recommendations and can support customer discussions, but final viability judgments and construction negotiations typically require human expertise and relationship management.

Remove and replace plug-in circuit equipment.

AI: Partial - Removing and replacing plug‑in circuit equipment is a manual, safety‑sensitive activity that may be partially automated in controlled environments but not fully automated in the field.

Dig holes or trenches as necessary for equipment installation and access.

AI: Partial - Autonomous excavators exist and AI can plan/operate digging equipment in controlled contexts, but general trenching/site work still requires human oversight and is not fully automated broadly.

Clean switches and replace contact points, using vacuum hoses, solvents, and hand tools.

AI: Partial - AI and guided robotics can assist with cleaning and replacing contact points, but precise manual dexterity, variable field conditions, and safety oversight still require human technicians.

Review manufacturer's instructions, manuals, technical specifications, building permits, and ordinances to determine communication equipment requirements and procedures.

AI: Partial - AI can extract and summarize requirements from technical documents and permits, but nuanced interpretation of regulations and final compliance determinations often need human judgment.

Address special issues or situations, such as illegal or unauthorized use of equipment, or cases of electrical or acoustic shock.

AI: Partial - AI can partially assist by diagnosing unauthorized use and recommending responses or triage for electrical/acoustic shock, but on-site enforcement and emergency medical/safety actions require humans.

Place intercept circuits on terminals to handle vacant lines in central office installations.

AI: Partial - AI can support planning and automated equipment for placing intercept circuits, but actual terminal work in central offices involves physical access, safety, and judgment that remain human-led.

Perform routine maintenance on equipment, including adjusting and lubricating components, and painting worn or exposed areas.

AI: Not automatable - Routine physical maintenance tasks like adjusting, lubricating, and painting require manual physical work that AI alone cannot perform as of 2025.

Install telephone station equipment, such as intercommunication systems, transmitters, receivers, relays, and ringers, and related apparatus, such as coin collectors, telephone booths, and switching-key equipment.

AI: Not automatable - Installing telephone station hardware and related apparatus is hands-on physical work requiring on-site technicians, not something AI alone can perform.