Electronics Engineering Technicians

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 7 task statements that define Electronics Engineering Technicians (ISCO-08 3114) score an average of 0.38 on a 0–1 exposure scale — more exposed than about 72% 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 Minimal 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

“Designing and preparing blueprints of electronic circuitry according to the specifications given;”

Scores 0.57 on the 2025 scale. Designing and preparing blueprints of electronic circuitry involves both technical proficiency and design creativity, areas where Generative AI can provide substantial support, particularly in generating initial circuit designs, optimizing layouts, and performing simulations. However, the nuanced understanding of client specifications and innovative design elements necessary in electronic circuitry layout remains challenging for AI to fully replicate. In the provided context, semantically similar tasks, such as designing electronic equipment (adjusted score of 0.68) and designing tools for precision mechanics (adjusted score of 0.5), reflect the notable potential for AI to aid but not replace human-led design processes in areas requiring creativity and complex decision-making. While these tasks are more routine and data-driven than tasks involving physical manipulation like assembling machinery parts, they demand human expertise to interpret specifications and validate the designs for practical applications. Considering the high context, with advanced technological access in Poland, the adjusted score suggests AI’s significant role in enhancing efficiency while acknowledging the need for continued human oversight and final creative judgment in electronic circuit blueprint design.

Moving fastest, 2023 → 2025

“Designing and preparing blueprints of electronic circuitry according to the specifications given;”

Model capability on this task changed by +0.27 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 3114, 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.

• Electrical and Electronic Engineering Technologists and Technicians

In context

Part of the 3 - Technicians and associate professionals major group. Return to the full gradient to see how the whole group sits.

Electronics Engineering Technicians sit at the 72nd percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Electronics Engineering Technicians rank in the 72nd 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 0.07 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Designing and preparing blueprints of electronic circuitry according to the specifications given;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Electronics Engineering Technicians". https://singulariki.com/gradient/3114-electronics-engineering-technicians.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.