Visual Artists

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 8 task statements that define Visual Artists (ISCO-08 2651) 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 8 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Arranging objects, positioning models, and selecting landscapes and other visual forms according to chosen subject matter;”

Scores 0.26 on the 2025 scale. The task of arranging objects, positioning models, and selecting landscapes and visual forms involves both creative judgment and physical manipulation, requiring a combination of aesthetic sensibility and spatial understanding that Generative AI is currently not equipped to fully replicate. Looking at similar tasks, the selection of materials for patterns and reproductions was scored at 0.164, suggesting some potential for AI to assist in decision-making processes but emphasizing the need for creative human input. Designing lighting, although more complex, received a score of 0.32, indicating a partial role for AI in technical aspects of planning. Moreover, the task of presenting clothing and products (0.375) further emphasizes the limitation of AI in tasks that require significant human interpretation and interaction. Given these comparisons, AI could assist in generating initial design suggestions and process optimization, but human oversight is indispensable for tailoring arrangements to specific creative and environmental needs. Therefore, the adjusted score of 0.36 reflects AI's moderate support role while acknowledging the high degree of creativity and adaptability inherent in this task.

Moving fastest, 2023 → 2025

“Restoring damaged, soiled and faded paintings and other art objects.”

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 2651, 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.

• Fine Artists, Including Painters, Sculptors, and Illustrators
• Craft Artists

In context

Part of the 2 - Professionals major group. Return to the full gradient to see how the whole group sits.

Visual Artists sit at the 37th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Visual Artists 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 fell by 0.03 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Arranging objects, positioning models, and selecting landscapes and other visual forms according to chosen subject matter;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Visual Artists". https://singulariki.com/gradient/2651-visual-artists.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.