Graphic and Multimedia Designers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 10 task statements that define Graphic and Multimedia Designers (ISCO-08 2166) score an average of 0.49 on a 0–1 exposure scale — more exposed than about 88% of the 427 placed occupations. Roughly 100% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Gradient 2 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 10 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Creating two-dimensional and three-dimensional images depicting objects in motion or illustrating a process, using computer animation or modelling programmes;”

Scores 0.61 on the 2025 scale. The task of creating two-dimensional and three-dimensional images depicting objects in motion or illustrating a process using computer animation or modelling programs involves a significant level of creativity, technical skill, and understanding of design principles. Generative AI has made considerable advancements in automating parts of this process, such as generating initial design concepts, optimizing animations, and even creating basic models based on data-driven insights or user input. This aligns with tasks like "Using software to prepare digital materials," which received a score of 0.675, reflecting AI's ability to automate structured aspects of digital media creation. However, the creative and nuanced understanding required for animation—particularly in capturing motion and illustrating complex processes—still necessitates human involvement, similar to tasks like "Creating a concept for a game or application," which was scored at 0.685. Considering the high-income context of Poland with strong digital infrastructure, and balanced against tasks requiring more physical execution or less creative input, an adjusted score of 0.575 acknowledges the significant but not complete automation potential in this creative field.

Moving fastest, 2023 → 2025

“Creating two-dimensional and three-dimensional images depicting objects in motion or illustrating a process, using computer animation or modelling programmes;”

Model capability on this task changed by +0.31 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 2166, 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.

• Graphic Designers
• Special Effects Artists and Animators

In context

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

Graphic and Multimedia Designers sit at the 88th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Graphic and Multimedia Designers rank in the 88th 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 100% 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: "Creating two-dimensional and three-dimensional images depicting objects in motion or illustrating a process, using computer animation or modelling programmes;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Graphic and Multimedia Designers". https://singulariki.com/gradient/2166-graphic-and-multimedia-designers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.