Air Traffic Safety Electronics Technicians

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 9 task statements that define Air Traffic Safety Electronics Technicians (ISCO-08 3155) score an average of 0.34 on a 0–1 exposure scale — more exposed than about 62% 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 9 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Developing, modifying and debugging system software;”

Scores 0.56 on the 2025 scale. The task of developing, modifying, and debugging system software involves a combination of analytical reasoning, creativity, and technical operations where Generative AI can provide substantial assistance. This task shares similarities with nearby tasks like "Diagnosing and optimizing the operation of computer equipment" (0.55), "Designing and implementing new speech recognition algorithms" (0.7125), and "Testing web and mobile applications" (0.7849999999999999), all suggesting AI’s capacity for facilitating technical tasks, particularly in analysis and optimization. Generative AI can help by suggesting code improvements, identifying potential errors, and offering debugging solutions more efficiently, but lacks the creative and strategic oversight provided by human expertise essential for system software development. Considering the advanced digital infrastructure in Poland supporting robust AI integration, the automation potential is fairly higher compared to more manual or purely creative tasks. However, the creative and problem-solving complexities inherent in software development mean that full automation is not feasible, which positions this task's potential slightly below the highest-scoring semantically related tasks but above tasks reliant purely on data processing, aligning it near the mid to higher range of capabilities discussed.

Moving fastest, 2023 → 2025

“Carrying out technical duties related to the development of electronic and computerized air navigation systems and equipment, and testing prototypes;”

Model capability on this task changed by +0.33 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 3155, 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
• Airfield Operations Specialists

In context

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

Air Traffic Safety Electronics Technicians sit at the 62nd percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Air Traffic Safety Electronics Technicians rank in the 62nd 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 0.04 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Developing, modifying and debugging system software;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Air Traffic Safety Electronics Technicians". https://singulariki.com/gradient/3155-air-traffic-safety-electronics-technicians.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.