Database and Network Professionals Not Elsewhere Classified

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 8 task statements that define Database and Network Professionals Not Elsewhere Classified (ISCO-08 2529) score an average of 0.49 on a 0–1 exposure scale — more exposed than about 87% 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 8 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Monitoring current reports of computer viruses to determine when to update virus protection systems;”

Scores 0.60 on the 2025 scale. The task of "Monitoring current reports of computer viruses to determine when to update virus protection systems" involves analyzing and interpreting data to make timely decisions about security updates in computer systems. Generative AI is capable of automating significant portions of this task, such as parsing data, detecting patterns, and making preliminary recommendations for protection updates. This is similar in nature to tasks like "Ensuring computer system security" (score: 0.62) and "Handling incidents and conducting intrusion analysis for teleinformatics systems" (score: 0.65), which involve data analysis and pattern recognition. However, the task requires human oversight for complex decision-making and addressing unique or unforeseen threats, akin to "Supervising the adherence to safety procedures of clients' teleinformatics systems" (score: 0.36). Given the presence of human expertise needed alongside advanced technological capabilities in a country like Poland, an adjusted score of 0.52 reflects the potential for AI to significantly automate data analysis and pattern detection, while human input remains integral for nuanced judgment and execution of system security updates.

Moving fastest, 2023 → 2025

“Conferring with users to discuss issues such as computer data access needs, security violations, and programming changes;”

Model capability on this task changed by +0.18 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 2529, 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.

Database and Network Professionals Not Elsewhere Classified sit at the 87th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Database and Network Professionals Not Elsewhere Classified rank in the 87th 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 0.05 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Monitoring current reports of computer viruses to determine when to update virus protection systems;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Database and Network Professionals Not Elsewhere Classified". https://singulariki.com/gradient/2529-database-and-network-professionals-not-elsewhere-classified.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.