Sports, Recreation and Cultural Centre Managers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 9 task statements that define Sports, Recreation and Cultural Centre Managers (ISCO-08 1431) score an average of 0.32 on a 0–1 exposure scale — more exposed than about 60% 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 9 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Establishing and managing budgets, controlling expenditure and ensuring the efficient use of resources;”

Scores 0.43 on the 2025 scale. The task of establishing and managing budgets, controlling expenditure, and ensuring the efficient use of resources requires strategic decision-making, data analysis, and a comprehensive understanding of organizational goals and regulations. Generative AI can assist with automating data analysis, forecasting, and generating reports, aligning closely with tasks such as monitoring budget implementation (adjusted score 0.48) or preparing cost estimates (0.48). However, the necessity for human judgment in adjusting to dynamic changes, making strategic financial decisions, and aligning budgets with operational objectives limits complete automation. Similar tasks involving budget preparation and strategic financial management in the context provided range from 0.28 for more context-dependent tasks to 0.48 for more data-driven aspects. Given this spectrum and considering the high-income country's technological context, AI has a substantial yet not complete role, resulting in an adjusted score of 0.42.

Moving fastest, 2023 → 2025

“Keeping abreast of new trends and developments in the creative arts and arranging theatrical productions and performances by bands and orchestras;”

Model capability on this task changed by +0.15 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 1431, 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.

• Managers, All Other
• Regulatory Affairs Managers
• Compliance Managers
• Loss Prevention Managers
• Wind Energy Operations Managers
• Wind Energy Development Managers
• Brownfield Redevelopment Specialists and Site Managers
• Gambling Managers

In context

Part of the 1 - Managers major group. Return to the full gradient to see how the whole group sits.

Sports, Recreation and Cultural Centre Managers sit at the 60th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Sports, Recreation and Cultural Centre Managers rank in the 60th 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 0.01 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Establishing and managing budgets, controlling expenditure and ensuring the efficient use of resources;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Sports, Recreation and Cultural Centre Managers". https://singulariki.com/gradient/1431-sports-recreation-and-cultural-centre-managers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.