Craft and Related Workers not Elsewhere Classified

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 2 task statements that define Craft and Related Workers not Elsewhere Classified (ISCO-08 7549) score an average of 0.14 on a 0–1 exposure scale — more exposed than about 16% 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 2 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Grinding and polishing lens blanks.”

Scores 0.15 on the 2025 scale. The task of grinding and polishing lens blanks is inherently a manual and precision-based task similar to those mentioned in the provided context, such as grinding glass edges, polishing stones, and operating grinders which all received low adjusted automation scores (between 0.0846 and 0.15). These tasks involve significant manual dexterity, precision, and tactile feedback, which Generative AI technologies like ChatGPT cannot currently automate. While AI could potentially assist in optimizing parameters or offering guidelines, the actual physical execution of grinding and polishing requires human sensory input and skill. Despite the high-income, technologically advanced context of Poland, where digital tools are readily available, the physical nature of this job provides limited potential for AI-driven automation, similar to the scores of related physical craft and trades tasks. Therefore, the score of 0.15 reflects the minimal automation potential for this task, balancing some AI assistance in supporting roles with the reality of the task's need for human operators.

Moving fastest, 2023 → 2025

“Grinding and polishing lens blanks.”

Model capability on this task changed by +0.10 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 7549, 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.

• Floral Designers
• Ophthalmic Laboratory Technicians

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.

Craft and Related Workers not Elsewhere Classified sit at the 16th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Craft and Related Workers not Elsewhere Classified rank in the 16th 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: "Grinding and polishing lens blanks.". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Craft and Related Workers not Elsewhere Classified". https://singulariki.com/gradient/7549-craft-and-related-workers-not-elsewhere-classified.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.