Draughtspersons

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 8 task statements that define Draughtspersons (ISCO-08 3118) score an average of 0.35 on a 0–1 exposure scale — more exposed than about 64% 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 Minimal 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 8 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Operating computer-aided design and drafting equipment to create, modify and generate hard-copy and digital representations of working drawings;”

Scores 0.47 on the 2025 scale. The task of operating computer-aided design (CAD) and drafting equipment to create, modify, and generate drawings involves a significant use of software tools and digital manipulation, areas where Generative AI exhibits strong capabilities. It resembles tasks such as "Using software to prepare digital materials" with a high automation score of 0.675 and "Creating sketches and technical drawings" with a moderate automation score of 0.4. Generative AI can greatly assist in drafting by automating routine design aspects, optimizing layout, and generating initial drafts. However, the task requires human oversight for creativity, interpretation of design requirements, and adherence to specific standards or client needs, which limits total automation. Given the specific context of CAD technology, the task is more digital than manual, unlike tasks requiring purely physical execution like making holes or sheet metal operations, which have lower automation scores. Considering AI's capability to enhance but not fully automate design processes, particularly in a high-income country like Poland, an adjusted score of 0.35 reasonably reflects the balance of potential automatable components and necessary human input.

Moving fastest, 2023 → 2025

“Arranging for completed drawings to be reproduced for use as working drawings.”

Model capability on this task changed by +0.09 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 3118, 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.

• Architectural and Civil Drafters
• Mechanical Drafters
• Electrical and Electronics Drafters
• Drafters, All Other
• Fine Artists, Including Painters, Sculptors, and Illustrators

In context

Part of the 3 - Technicians and associate professionals major group. Return to the full gradient to see how the whole group sits.

Draughtspersons sit at the 64th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Draughtspersons rank in the 64th 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 0.10 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Operating computer-aided design and drafting equipment to create, modify and generate hard-copy and digital representations of working drawings;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Draughtspersons". https://singulariki.com/gradient/3118-draughtspersons.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.