University and Higher Education Teachers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 9 task statements that define University and Higher Education Teachers (ISCO-08 2310) 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 9 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Administering, evaluating and marking examination papers and tests;”

Scores 0.56 on the 2025 scale. The task of administering, evaluating, and marking examination papers and tests is a semi-structured activity that involves significant human judgment, particularly in interpreting essay responses and qualitative answers. Generative AI can assist in aspects of this task, such as automating the grading of structured assessments like multiple-choice questions or partially automating qualitative feedback through text analysis capabilities. This aligns with the semantically similar tasks such as "Supervising the proper organization and progression of tests and examinations" (automation score 0.27), which involves logistical oversight and supervision, requiring more human involvement. However, tasks like "Preparing sales registers" (adjusted score 0.65) indicate higher automation capability in structured environments. Taking into account the capabilities of Generative AI to provide substantial support in repetitive or data-driven tasks but still needing considerable human input for quality assurance and subjective judgment, an adjusted automation score of 0.56 reflects the support AI can offer in automating straightforward aspects of grading, while recognizing the essential human oversight required for comprehensive examination assessment. Additionally, given the assumption of operating in a high-tech environment like Poland, the task is facilitated by robust access to AI tools, increasing its potential automation feasibility.

Moving fastest, 2023 → 2025

“Preparing scholarly books, papers or articles;”

Model capability on this task changed by +0.24 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 2310, 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.

• Health Specialties Teachers, Postsecondary
• Postsecondary Teachers, All Other
• Art, Drama, and Music Teachers, Postsecondary
• Business Teachers, Postsecondary
• Nursing Instructors and Teachers, Postsecondary
• English Language and Literature Teachers, Postsecondary
• Education Teachers, Postsecondary
• Biological Science Teachers, Postsecondary

In context

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

University and Higher Education Teachers sit at the 69th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, University and Higher Education Teachers 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 0.04 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Administering, evaluating and marking examination papers and tests;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "University and Higher Education Teachers". https://singulariki.com/gradient/2310-university-and-higher-education-teachers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.