Precision-instrument Makers and Repairers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 12 task statements that define Precision-instrument Makers and Repairers (ISCO-08 7311) score an average of 0.21 on a 0–1 exposure scale — more exposed than about 37% 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 12 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Testing timepiece accuracy and performance, using meters and other electronic instruments;”

Scores 0.32 on the 2025 scale. The task of testing timepiece accuracy and performance using meters and other electronic instruments involves hands-on expertise and precise manual intervention, which Generative AI cannot perform autonomously. While AI can support data analysis, procedural guidance, and suggest diagnostic steps, the manual skills needed for ensuring accuracy and performance of timepieces require human expertise. This task is similar to "Conducting measurements of electronic systems" and "Performing electrical measurements of illuminated advertisements," both of which received adjusted scores of 0.35 and 0.295, respectively. These scores reflect the manual and interpretative nature of the work, recognizing the supportive yet non-executive role AI plays. Given Poland's high technological access, AI's role in assisting with data-related components is feasible, but full automation is limited, justifying a score of 0.325 that acknowledges both AI's support potential and the essential manual aspect of the task.

Moving fastest, 2023 → 2025

“Testing timepiece accuracy and performance, using meters and other electronic instruments;”

Model capability on this task changed by +0.17 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 7311, 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
• Medical Equipment Repairers
• Precision Instrument and Equipment Repairers, All Other
• Camera and Photographic Equipment Repairers
• Watch and Clock Repairers

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.

Precision-instrument Makers and Repairers sit at the 37th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Precision-instrument Makers and Repairers rank in the 37th 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 0.03 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Testing timepiece accuracy and performance, using meters and other electronic instruments;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Precision-instrument Makers and Repairers". https://singulariki.com/gradient/7311-precision-instrument-makers-and-repairers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.