Information and Communications Technology Installers and Servicers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 7 task statements that define Information and Communications Technology Installers and Servicers (ISCO-08 7422) score an average of 0.24 on a 0–1 exposure scale — more exposed than about 43% of the 427 placed occupations. Roughly 0% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Not exposed band.

Exposure is task overlap, not a verdict. A high score means a generative-AI model can do part of the content of these tasks — it says nothing about whether the work is automated, whether anyone uses AI for it today, or whether jobs are lost. The gradient is scored on the international ISCO-08 system; the rest of Singulariki is U.S. O*NET/SOC, bridged below by an approximate, many-to-many crosswalk.

How its tasks split across the gradient

Each of the 7 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Providing technical advice and information, and monitoring the performance of complex telecommunications networks and equipment;”

Scores 0.51 on the 2025 scale. The task of providing technical advice and information, and monitoring the performance of complex telecommunications networks and equipment, shares features with several tasks, such as diagnosing network conditions and coordinating telecommunication services, observed in the context. These activities involve both analytical and technical skills, leveraging both AI's capacity for data analysis and human expertise for decision-making and direct intervention. The highest similarity is with tasks like 'Diagnosing the technical condition, operating, and repairing the teleinformation network' adjusted at 0.65, where monitoring can be partially automated through AI tools capable of real-time data analysis and performance alerts. Tasks like 'Supervising and coordinating the implementation of telecommunication services' (score 0.535) highlight AI's role in facilitating service management through data-supported insights but underscore human necessity for client interaction and strategic oversight. Given the task's focus on technical advisement and monitoring, which necessitates significant human technical expertise for contextual understanding and real-time problem-solving, and considering AI's role is largely supportive in processing data rather than performing physical task components, an adjusted score for automation potential is set at 0.415. It accounts for AI's capability to assist significantly in monitoring and advisory functions but recognizes the need for human oversight and intervention in managing complex systems and providing tailored technical advice.

Moving fastest, 2023 → 2025

“Providing technical advice and information, and monitoring the performance of complex telecommunications networks and equipment;”

Model capability on this task changed by +0.21 in two years — the gradient is not static, it is filling in.

U.S. occupations this maps to

The American O*NET/SOC roles that crosswalk to ISCO-08 7422, biggest by employment first, via the published (approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 correspondence. These are the closest U.S. matches — not an asserted one-to-one identity.

• First-Line Supervisors of Mechanics, Installers, and Repairers
• Telecommunications Equipment Installers and Repairers, Except Line Installers
• Telecommunications Line Installers and Repairers
• Computer, Automated Teller, and Office Machine Repairers
• Audiovisual Equipment Installers and Repairers
• Radio, Cellular, and Tower Equipment Installers and Repairers
• Electrical and Electronics Installers and Repairers, Transportation Equipment

In context

Part of the 7 - Craft and related trades workers major group. Return to the full gradient to see how the whole group sits.

Information and Communications Technology Installers and Servicers sit at the 43rd percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Information and Communications Technology Installers and Servicers rank in the 43rd percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement. (ILO / Gmyrek et al. (2025) GenAI exposure gradient)
• About 0% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure rose by 0.08 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Providing technical advice and information, and monitoring the performance of complex telecommunications networks and equipment;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Information and Communications Technology Installers and Servicers". https://singulariki.com/gradient/7422-information-and-communications-technology-installers-and-servicers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.