Dancers and Choreographers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 6 task statements that define Dancers and Choreographers (ISCO-08 2653) score an average of 0.19 on a 0–1 exposure scale — more exposed than about 31% 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 6 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Coordinating the production music with the music directors.”

Scores 0.36 on the 2025 scale. The task of coordinating the production of music with music directors involves a blend of creative and managerial functions, requiring effective communication, collaboration, and understanding of artistic direction. Generative AI can assist with tasks like scheduling, data analysis, and possibly suggesting improvements, but nuances in musical interpretation and interpersonal communication require human expertise. This task shares similarities with tasks like coordinating collaboration between photo group members on set (adjusted score: 0.265) and preparing sound implementation documentation (adjusted score: 0.35), which involve collaboration and creative decision-making. However, slightly higher than these scores, the task also involves strategic organizational aspects, akin to undertaking cinema promotion and repertoire (adjusted score: 0.5025), although with less emphasis on strategic planning. Consequently, the selected score reflects a balance of AI's capability in supporting coordination and the irreplaceable human elements in musical production coordination in a technologically advanced country like Poland.

Moving fastest, 2023 → 2025

“Directing and participating in rehearsals to practice dance steps and techniques required for a performance;”

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 2653, 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.

• Dancers
• Choreographers

In context

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

Dancers and Choreographers sit at the 31st percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Dancers and Choreographers rank in the 31st 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 rose by 0.04 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Coordinating the production music with the music directors.". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Dancers and Choreographers". https://singulariki.com/gradient/2653-dancers-and-choreographers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.