Education Managers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 11 task statements that define Education Managers (ISCO-08 1345) score an average of 0.36 on a 0–1 exposure scale — more exposed than about 67% 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 11 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 involves both structured data processing along with strategic oversight, requiring Generative AI technologies to assist but not fully automate the task. Tasks with similar elements, such as monitoring budget assumptions (score: 0.465) and overseeing budget implementation (score: 0.38), suggest automation potential where AI supports data-driven analysis and preliminary report generation. However, strategic decision-making and adaptation to organizational contexts still demand significant human oversight. Generative AI can automate routine processes and offer analytical insights but lacks the nuanced understanding needed for complex budgeting decisions and compliance aspects. Given the high digital literacy and infrastructure in Poland, which allows for substantial AI integration, an adjusted score of 0.48 reflects AI's capabilities in executing administrative operations while recognizing the continued necessity for human involvement in strategic and regulatory tasks.

Moving fastest, 2023 → 2025

“Providing leadership and guidance to teaching, academic and administrative staff as well as to students;”

Model capability on this task changed by +0.20 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 1345, 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.

• Education Administrators, Kindergarten through Secondary
• Education Administrators, Postsecondary
• Education Administrators, All Other

In context

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

Education Managers sit at the 67th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Education Managers rank in the 67th 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 0.09 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 — "Education Managers". https://singulariki.com/gradient/1345-education-managers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.