Professional Services Managers Not Elsewhere Classified

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 9 task statements that define Professional Services Managers Not Elsewhere Classified (ISCO-08 1349) score an average of 0.38 on a 0–1 exposure scale — more exposed than about 74% 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

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

Scores 0.56 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 strategic oversight and operational efficiency. Generative AI can significantly assist in data analysis, forecasting, and automating routine reporting and compliance checks, which aligns it with tasks like conducting ongoing monitoring of service implementation progress (adjusted score: 0.46) and controlling unit costs (adjusted score: 0.6). These tasks involve structured data management, financial oversight, and compliance, where AI's capabilities in data processing are particularly useful. However, strategic decision-making, human oversight, and contextual understanding of budget allocations cannot be fully automated, necessitating substantial human involvement. Compared to similar tasks in the cluster, this task leans towards a higher automation potential than purely strategic financial management roles due to the operational elements that AI can handle. Given the context of Poland as a high-income country with strong access to technology, AI's role is to enhance efficiency significantly while requiring human oversight for strategic decisions, leading to an adjusted score of 0.46.

Moving fastest, 2023 → 2025

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

Model capability on this task changed by +0.22 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 1349, 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

In context

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

Professional Services Managers Not Elsewhere Classified sit at the 74th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Professional Services Managers Not Elsewhere Classified rank in the 74th 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 0.06 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 — "Professional Services Managers Not Elsewhere Classified". https://singulariki.com/gradient/1349-professional-services-managers-not-elsewhere-classified.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.