Information Technology Trainers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 6 task statements that define Information Technology Trainers (ISCO-08 2356) score an average of 0.47 on a 0–1 exposure scale — more exposed than about 85% of the 427 placed occupations. Roughly 100% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Gradient 2 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 6 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Keeping up-to-date with new product version releases, advances in software, and general information technology trends, writing end user products and materials such as user training, tutorial and instruction manuals, online help, and operating and maintenance instructions.”

Scores 0.58 on the 2025 scale. The task involves staying updated with new product versions and trends while writing informative materials such as user manuals and operating instructions. Generative AI, like ChatGPT, is well-suited to assist in the creation, drafting, and updating of textual content due to its proficiency in natural language processing. This is similar to tasks like “Developing technological documentation” (0.60) and “Maintaining the production process documentation” (0.455), where documentation and structured content creation are key. However, given that the task also requires staying informed about new advances and trends, which involves strategic and creative thinking beyond AI’s current capacity, a lower automation potential than purely documentation or data-driven tasks is anticipated. Additionally, considering Poland's high level of technological infrastructure, AI can supplement the research component by providing updates or summarized material effectively but cannot replace the need for human intuition and oversight required for decision-making and contextual understanding. Consequently, an adjusted score of 0.52 reflects the significant, yet not complete, role that AI can play in automating parts of this task.

Moving fastest, 2023 → 2025

“Identifying the information technology training needs and requirements of individual users and organizations;”

Model capability on this task changed by +0.11 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 2356, 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.

• Training and Development Specialists

In context

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

Information Technology Trainers sit at the 85th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Information Technology Trainers rank in the 85th 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 100% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure fell by 0.05 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Keeping up-to-date with new product version releases, advances in software, and general information technology trends, writing end user products and materials such as user training, tutorial and instruction manuals, online help, and operating and maintenance instructions.". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Information Technology Trainers". https://singulariki.com/gradient/2356-information-technology-trainers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.