Toolmakers and Related Workers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 11 task statements that define Toolmakers and Related Workers (ISCO-08 7222) score an average of 0.20 on a 0–1 exposure scale — more exposed than about 34% 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

“Preparing templates and sketches, and determining work processes;”

Scores 0.41 on the 2025 scale. The task of preparing templates and sketches, and determining work processes involves creativity, technical drafting, and strategic planning. Similar tasks with a focus on creating templates or determining work methods, such as "Determining methods of task implementation, making task division for work teams" with an adjusted score of 0.43, suggest a moderate potential for AI involvement, mainly in supporting structured planning and generating initial sketches. However, the task also requires human judgment and creativity, especially in design and strategic alignment to project goals. Tasks more reliant on physical interactions, like "Creating sketches and technical drawings of stucco details" (adjusted score 0.38), have demonstrated a lower automation potential due to required human intervention. Given the practical requirements for nuanced design and the practical application of processes, the adjusted score reflects the ability of AI to provide supportive roles in structuring tasks and initial designs, but not fully automate complex, judgment-heavy processes. Considering the access to advanced tools in a high-income country and the descriptiveness of technical documentation roles with adjusted scores around 0.35 to 0.45, setting the score at 0.38 captures this balance of AI assistance and necessary human expertise.

Moving fastest, 2023 → 2025

“Verifying dimensions, alignments and clearances of finished parts for conformity with specifications, using precision measuring instruments and testing completed items for proper operation.”

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 7222, 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.

• Tool and Die Makers
• Locksmiths and Safe Repairers
• Layout Workers, Metal and Plastic
• Model Makers, Metal and Plastic
• Patternmakers, Metal and Plastic

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.

Toolmakers and Related Workers sit at the 34th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Toolmakers and Related Workers rank in the 34th 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 0.01 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Preparing templates and sketches, and determining work processes;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Toolmakers and Related Workers". https://singulariki.com/gradient/7222-toolmakers-and-related-workers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.