Vocational Education Teachers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 10 task statements that define Vocational Education Teachers (ISCO-08 2320) score an average of 0.35 on a 0–1 exposure scale — more exposed than about 64% 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

“Preparing reports and maintaining records such as student grades, attendance rolls, and training activity details;”

Scores 0.65 on the 2025 scale. The task of preparing reports and maintaining records such as student grades, attendance rolls, and training activity details involves structured data handling and routine documentation processes. Generative AI tools can substantially automate data entry, report generation, and basic record-keeping tasks due to their capabilities in processing structured information and generating text based on templates. This task is similar to other tasks within the context of managing documentation, such as the task of "Maintaining documentation and preparing reports for the management" (adjusted score: 0.56) and "Entering and processing information in textual, numerical, etc. collections" (adjusted score: 0.7), where AI's potential to automate aspects of the task is high. However, human oversight remains essential for ensuring accuracy, personalizing reports as needed, and handling exceptions or more nuanced data interpretations, especially when sensitive educational information is involved. Given that these tasks are performed in a high-income country like Poland with readily available technology, AI can enhance efficiency and streamline repetitive processes, but cannot completely replace the human role due to the need for contextual judgment and safeguarding against errors.

Moving fastest, 2023 → 2025

“Developing curricula and planning course content and methods of instruction;”

Model capability on this task changed by +0.03 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 2320, 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.

• Career/Technical Education Teachers, Postsecondary
• Career/Technical Education Teachers, Secondary School
• Career/Technical Education Teachers, Middle School

In context

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

Vocational Education Teachers sit at the 64th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Vocational Education Teachers rank in the 64th 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 0.04 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Preparing reports and maintaining records such as student grades, attendance rolls, and training activity details;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Vocational Education Teachers". https://singulariki.com/gradient/2320-vocational-education-teachers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.