Other Arts Teachers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 10 task statements that define Other Arts Teachers (ISCO-08 2355) score an average of 0.35 on a 0–1 exposure scale — more exposed than about 63% 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 10 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Preparing and presenting material on the theory of the subject area being studied;”

Scores 0.49 on the 2025 scale. The task of preparing and presenting material on the theory of the subject area involves both the creation of educational content and real-time presentation skills, which require a nuanced understanding of the audience. Generative AI can assist in preparing content by aggregating information, drafting outlines, and creating visual presentations. However, presenting effectively requires the human ability to engage, adapt in real-time, and connect with the audience, which AI currently cannot replicate. Similar tasks, such as "Preparing printed materials for students" (0.46) and "Presenting reports and analyses" (0.325), show varying degrees of automation potential based on the complexity and human interaction required. Given the task's dual nature, where Generative AI could support content preparation but not fully execute the presentation aspect, a score of 0.54 is appropriate. This reflects AI's growing role in automating preparatory tasks while acknowledging the essential human element in delivering and adapting theoretical materials to diverse audiences, particularly in a technologically advanced environment like Poland.

Moving fastest, 2023 → 2025

“Organising and assisting in performances or exhibitions of students' work.”

Model capability on this task changed by +0.13 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 2355, 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.

• Self-Enrichment Teachers
• Teachers and Instructors, All Other

In context

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

Other Arts Teachers sit at the 63rd percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Other Arts Teachers rank in the 63rd 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 0.11 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Preparing and presenting material on the theory of the subject area being studied;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Other Arts Teachers". https://singulariki.com/gradient/2355-other-arts-teachers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.