Handicraft Workers in Wood, Basketry and Related Materials

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 11 task statements that define Handicraft Workers in Wood, Basketry and Related Materials (ISCO-08 7317) score an average of 0.14 on a 0–1 exposure scale — more exposed than about 12% 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 11 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Painting freehand decorative designs on glass and pottery or porcelain ware;”

Scores 0.15 on the 2025 scale. The task of painting freehand decorative designs on glass and pottery is a highly manual and creative activity involving significant manual dexterity, artistic skill, and tactile feedback. This task is akin to others in the provided context that demand physical manipulation and precision, such as engraving, forming pottery, and performing hand-drawn drawings, which have received low adjusted scores due to their craft-based nature. Generative AI might assist with designing or suggesting patterns; however, it cannot replace the physical performance or artistic creativity required in executing the actual painting. The task is similar to "Engraving products with a specific pattern using a pantograph" which had an adjusted score of 0.130769230769231, indicating limited automation potential due to the manual skill involved. Considering these factors and the high-income, technologically advanced context of Poland, where AI can offer minimal digital support but cannot replace human execution, an adjusted score of 0.145 acknowledges the very limited potential of AI to automate this task.

Moving fastest, 2023 → 2025

“Painting freehand decorative designs on glass and pottery or porcelain ware;”

Model capability on this task changed by +0.05 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 7317, 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.

• Woodworkers, All Other
• Craft Artists

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.

Handicraft Workers in Wood, Basketry and Related Materials sit at the 12th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Handicraft Workers in Wood, Basketry and Related Materials rank in the 12th 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: "Painting freehand decorative designs on glass and pottery or porcelain ware;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Handicraft Workers in Wood, Basketry and Related Materials". https://singulariki.com/gradient/7317-handicraft-workers-in-wood-basketry-and-related-materials.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.