Physical and Engineering Science Technicians Not Elsewhere Classified

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 5 task statements that define Physical and Engineering Science Technicians Not Elsewhere Classified (ISCO-08 3119) score an average of 0.26 on a 0–1 exposure scale — more exposed than about 47% 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 5 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Collecting data and providing technical assistance regarding: efficient, safe and economic utilization of personnel, material and equipment; methods of work and sequence of operations and supervision of their implementation; and efficient layout of plant or establishment;”

Scores 0.32 on the 2025 scale. The task of “Collecting data and providing technical assistance regarding: efficient, safe, and economic utilization of personnel, material, and equipment; methods of work and sequence of operations and supervision of their implementation; and efficient layout of plant or establishment,” involves a mix of data collection, analysis, and contextual decision-making. This detailed examination suggests that while Generative AI can assist with data analysis, offering recommendations, and even generating reports, the task requires human oversight for situational assessments and the direct implementation of recommendations, which AI cannot fully automate. Semantically similar tasks related to supervising and organizing operations, such as “determining methods of task implementation” (Score: 0.43) and “maintaining required records of process progress” (Score: 0.45), require significant human input and judgment, reflecting moderate potential for automation. Yet, they also show a higher propensity to automation where routine data processes exist. Given these considerations and the capabilities of AI to support but not entirely replace the human element in this context, a score slightly on the lower tier is justified, reflecting the necessity for human-centric activities in supervising, adjusting processes, and leveraging technical judgments effectively in a technologically advanced environment like Poland.

Moving fastest, 2023 → 2025

“Modifying and testing equipment and devices used in the prevention, control, and remediation of environmental pollution, site remediation and land reclamation;”

Model capability on this task changed by −0.06 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 3119, 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 Firefighting and Prevention Workers
• Industrial Engineering Technologists and Technicians
• Nanotechnology Engineering Technologists and Technicians
• Life, Physical, and Social Science Technicians, All Other
• Quality Control Analysts
• Remote Sensing Technicians
• Engineering Technologists and Technicians, Except Drafters, All Other
• Non-Destructive Testing 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.

Physical and Engineering Science Technicians Not Elsewhere Classified sit at the 47th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Physical and Engineering Science Technicians Not Elsewhere Classified rank in the 47th 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 fell by 0.16 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Collecting data and providing technical assistance regarding: efficient, safe and economic utilization of personnel, material and equipment; methods of work and sequence of operations and supervision of their implementation; and efficient layout of plant or establishment;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Physical and Engineering Science Technicians Not Elsewhere Classified". https://singulariki.com/gradient/3119-physical-and-engineering-science-technicians-not-elsewhere-classified.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.