Web and Multimedia Developers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 5 task statements that define Web and Multimedia Developers (ISCO-08 2513) score an average of 0.60 on a 0–1 exposure scale — more exposed than about 97% 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 4 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 5 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Designing, developing and integrating computer code with other specialised inputs, such as image files, audio files and scripting languages, to produce, maintain and support web sites;”

Scores 0.67 on the 2025 scale. The task of designing, developing, and integrating computer code with specialized inputs to produce, maintain, and support websites is closely aligned with tasks that involve programming, digital content creation, and structured problem-solving—areas where Generative AI demonstrates significant potential. Similar tasks within the provided context, like "Creating and managing content management systems" (score 0.7) and "Executing and implementing online multimedia projects" (score 0.69), highlight the capabilities of AI in managing structured data and automating complex digital processes. Generative AI tools can assist in coding, optimizing workflows, and integrating multimedia elements. However, human oversight is crucial for creative direction, troubleshooting, and ensuring compliance with specific project goals and user needs. Given the structured nature of this task, and the high digital literacy assumed in Poland, the potential for automation is substantial but balanced by the persistent need for human creativity and strategic input. Therefore, the adjusted score of 0.685 reflects the task's significant automation potential with current AI capabilities, while acknowledging the essential human role in bespoke and creative decision-making.

Moving fastest, 2023 → 2025

“Designing and developing digital animations, imaging, presentations, games, audio and video clips, and Internet applications using multimedia software, tools and utilities, interactive graphics and programming languages;”

Model capability on this task changed by +0.36 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 2513, 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 2 - Professionals major group. Return to the full gradient to see how the whole group sits.

Web and Multimedia Developers sit at the 97th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Web and Multimedia Developers rank in the 97th 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 0.28 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Designing, developing and integrating computer code with other specialised inputs, such as image files, audio files and scripting languages, to produce, maintain and support web sites;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Web and Multimedia Developers". https://singulariki.com/gradient/2513-web-and-multimedia-developers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.