Building and Related Electricians

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 8 task statements that define Building and Related Electricians (ISCO-08 7411) score an average of 0.19 on a 0–1 exposure scale — more exposed than about 31% 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 8 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Examining blueprints, wiring diagrams and specifications to determine sequences and methods of operation;”

Scores 0.28 on the 2025 scale. The task of examining blueprints, wiring diagrams, and specifications to determine sequences and methods of operation involves a mix of technical understanding, interpretation of complex diagrams, and strategic decision-making. It shares some characteristics with the task of checking the consistency of electrical installation and component assembly, which has a low adjusted score due to its requirement for hands-on expertise and detailed interpretation (adjusted score 0.24). Generative AI can assist with processing and analyzing technical documentation and potentially suggesting sequence optimizations based on historical or predefined data. However, the nuanced understanding needed to adapt these sequences to specific real-world conditions, ensure compliance with codes, and respond to unique project requirements demands human expertise. This reliance on human skills similar to those in tasks requiring technical judgment, like developing instructions for tool selection (adjusted score 0.39), justifies a lower automation score. Considering that the task is to be performed in Poland, a high-income country with excellent access to technology, AI can provide some support, but the intricate and context-specific nature of the task keeps automation potential limited. Therefore, the adjusted automation score of 0.215 reflects the balance between limited AI assistance and significant human intervention necessary for successful task execution.

Moving fastest, 2023 → 2025

“Installing, maintaining and repairing electrical wiring systems and related equipment in various buildings such as schools, hospitals, commercial establishments, residential buildings and other structures;”

Model capability on this task changed by +0.08 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 7411, 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.

• Electricians
• Solar Photovoltaic Installers

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.

Building and Related Electricians sit at the 31st percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Building and Related Electricians rank in the 31st 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 0.02 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Examining blueprints, wiring diagrams and specifications to determine sequences and methods of operation;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Building and Related Electricians". https://singulariki.com/gradient/7411-building-and-related-electricians.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.