Information and Communications Technology User Support Technicians

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 9 task statements that define Information and Communications Technology User Support Technicians (ISCO-08 3512) 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 9 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Consulting user guides, technical manuals and other documents to research and implement solutions;”

Scores 0.67 on the 2025 scale. Given the task of "Consulting user guides, technical manuals, and other documents to research and implement solutions," the potential for automation using Generative AI is significant but not total. In the context provided, similar tasks related to documentation management and processing, such as "Deleting non-archival documentation from the IT system and maintaining records" and "Analyzing and verifying entered information and data," have relatively high adjusted scores ranging from 0.6 to 0.7. These tasks benefit from the structured nature of documentation processes, which AI can analyze, process, and partially manage. Generative AI can efficiently handle repetitive and structured data tasks, automate information retrieval, and even suggest solutions based on the analysis of technical manuals and guides, which aligns with the capabilities needed for this task. However, just as with similar tasks, full automation is not feasible due to the need for human expertise in interpreting nuanced information, understanding complex technical contexts, and implementing solutions based on specific situational needs. Therefore, considering the capabilities of AI in documentation and the relatively structured nature of this task, an adjusted score of 0.68 reflects the balance between significant AI assistance and necessary human oversight, especially in a well-digitized high-income country like Poland.

Moving fastest, 2023 → 2025

“Assisting applications programmers, systems developers and other ICT professionals to develop and test ICT products and services.”

Model capability on this task changed by +0.34 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 3512, 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.

No U.S. role resolves through the crosswalk for this occupation. Search the encyclopedia for the closest match →

In context

Part of the 3 - Technicians and associate professionals major group. Return to the full gradient to see how the whole group sits.

Information and Communications Technology User Support Technicians sit at the 85th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Information and Communications Technology User Support Technicians 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 rose by 0.01 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Consulting user guides, technical manuals and other documents to research and implement solutions;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Information and Communications Technology User Support Technicians". https://singulariki.com/gradient/3512-information-and-communications-technology-user-support-technicians.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.