Software and Applications Developers and Analysts Not Elsewhere Classified

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 5 task statements that define Software and Applications Developers and Analysts Not Elsewhere Classified (ISCO-08 2519) score an average of 0.55 on a 0–1 exposure scale — more exposed than about 92% 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 5 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Developing and implementing software and information system testing policies, procedures and scripts.”

Scores 0.68 on the 2025 scale. The task of developing and implementing software and information system testing policies, procedures, and scripts involves a blend of structured processes and nuanced understanding of software systems and organizational requirements. Generative AI can assist significantly in drafting initial testing procedures, automating simple test scripts, and analyzing preliminary results, similar to tasks such as "Performing tests using testing support tools" with a score of 0.665 and "Testing web and mobile applications" with a score of 0.785. These tasks highlight AI's strength in handling repetitive and data-driven components of software testing. However, tasks like "Supervising the adherence to safety procedures of clients' teleinformatics systems" with a lower score of 0.36 remind us of the critical role of human oversight and judgment in complex decision-making. Given the technological infrastructure in a high-income country like Poland, the automation potential remains high, yet human expertise is essential for designing robust procedures and scripts tailored to specific organizational and software needs. This balance between AI assistance in routine processes and the necessity for human intervention in strategic aspects justifies an adjusted score of 0.675, reflecting a substantial but not complete potential for automation.

Moving fastest, 2023 → 2025

“Developing and implementing software and information system testing policies, procedures and scripts.”

Model capability on this task changed by +0.48 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 2519, 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.

Software and Applications Developers and Analysts Not Elsewhere Classified sit at the 92nd percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Software and Applications Developers and Analysts Not Elsewhere Classified rank in the 92nd 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 0.16 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Developing and implementing software and information system testing policies, procedures and scripts.". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Software and Applications Developers and Analysts Not Elsewhere Classified". https://singulariki.com/gradient/2519-software-and-applications-developers-and-analysts-not-elsewhere-classified.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.