Social Welfare Managers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 10 task statements that define Social Welfare Managers (ISCO-08 1344) score an average of 0.37 on a 0–1 exposure scale — more exposed than about 69% 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

“Controlling administrative operations such as budget planning, report preparation, and expenditure on supplies, equipment and services;”

Scores 0.54 on the 2025 scale. The task of controlling administrative operations such as budget planning, report preparation, and expenditure on supplies, equipment, and services requires both the strategic oversight of financial and operational activities and the efficient handling of routine administrative duties. Generative AI can significantly automate aspects like data analysis, generating budget reports, and tracking expenditures, which aligns with tasks such as "Controlling unit costs of individual courses" (score: 0.6) and "Managing financial resources within granted permissions" (score: 0.245), given AI's strength in data processing and structured task management. However, the strategic component, particularly in complex decision-making and contextual judgment necessary for budget planning and allocation, requires human involvement. Tasks like "Proper allocation of budgetary resources" (score: 0.385) and "Participating in the development of the organization's budget" (score: 0.45) similarly highlight the blend of technical and strategic elements, with human oversight critical in aligning financial strategies with organizational goals. Considering these factors and the context of a high-income country with robust technological infrastructure, a score of 0.42 reflects both AI's substantial support capabilities and the essential need for human expertise in strategic oversight.

Moving fastest, 2023 → 2025

“Overseeing the selection, training and performance of staff.”

Model capability on this task changed by +0.21 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 1344, 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.

• Social and Community Service Managers

In context

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

Social Welfare Managers sit at the 69th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Social Welfare Managers rank in the 69th 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 0.05 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Controlling administrative operations such as budget planning, report preparation, and expenditure on supplies, equipment and services;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Social Welfare Managers". https://singulariki.com/gradient/1344-social-welfare-managers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.