Web Technicians

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 7 task statements that define Web Technicians (ISCO-08 3514) score an average of 0.53 on a 0–1 exposure scale — more exposed than about 90% 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 3 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 7 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Creating and modifying web pages;”

Scores 0.72 on the 2025 scale. The task of creating and modifying web pages involves a mix of technical skills, creativity, and often follows structured processes that can be significantly supported by Generative AI. Similar tasks in the context, like "Creating and managing content management systems" (score 0.7) and "Using software to prepare digital materials such as: Adobe, Photoshop, Illustrator" (score 0.675), show high potential for automation. Generative AI can automate many aspects of web development, such as generating HTML/CSS code, suggesting design templates, and optimizing layouts for user experience. However, unlike tasks fully reliant on human creativity and contextual judgment, creating and modifying web pages is more systematic, though still requiring human oversight for complex design choices and bespoke client requirements. In a high-income country such as Poland, where digital literacy and technology access are high, these tasks are highly aided by AI, further supporting a score of 0.70. This score acknowledges the strong capabilities of AI in web development while recognizing the those areas where human expertise continues to be necessary, such as unique aesthetic decisions and understanding nuanced requirements.

Moving fastest, 2023 → 2025

“Performing web server backup and recovery operations.”

Model capability on this task changed by +0.28 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 3514, 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.

Web Technicians sit at the 90th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Web Technicians rank in the 90th 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 0.11 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Creating and modifying web pages;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Web Technicians". https://singulariki.com/gradient/3514-web-technicians.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.