Government Regulatory AssociatePprofessionals Not Elsewhere Classified

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 4 task statements that define Government Regulatory AssociatePprofessionals Not Elsewhere Classified (ISCO-08 3359) score an average of 0.36 on a 0–1 exposure scale — more exposed than about 66% of the 427 placed occupations. Roughly 0% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Minimal 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 4 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Performing related investigative and administrative tasks to record findings, document compliance problems or inappropriate business practices and to prepare reports and correspondence.”

Scores 0.47 on the 2025 scale. The task of performing investigative and administrative tasks to record findings, document compliance problems, or inappropriate business practices involves both data handling and detailed documentation, areas where Generative AI could assist significantly. Similar tasks, like preparing non-compliance reports (0.43) and organizing administrative services (0.45), show potential for AI assistance in processing structured data and generating preliminary documentation. However, the task also requires human oversight for context-specific interpretation, auditing accuracy, and ensuring full compliance with nuanced regulations. Tasks like storing and maintaining a register of found items (0.375) and reconciling daily turnovers (0.35) highlight that while documentation can be somewhat automated, the necessity of human discretion in compliance and oversight tasks persists. Given the task's reliance on both AI for routine documentation and human expertise for compliance verification and investigative insights, the adjusted score of 0.49 reflects a moderate automation potential in a technologically advanced context like Poland, where AI can streamline many aspects but not entirely replace human involvement.

Moving fastest, 2023 → 2025

“Examining places of business to ensure the use of correct weights and measures in trade;”

Model capability on this task changed by +0.07 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 3359, 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.

• Agricultural Inspectors

In context

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

Government Regulatory AssociatePprofessionals Not Elsewhere Classified sit at the 66th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Government Regulatory AssociatePprofessionals Not Elsewhere Classified rank in the 66th 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 0% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure fell by 0.05 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Performing related investigative and administrative tasks to record findings, document compliance problems or inappropriate business practices and to prepare reports and correspondence.". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Government Regulatory AssociatePprofessionals Not Elsewhere Classified". https://singulariki.com/gradient/3359-government-regulatory-associatepprofessionals-not-elsewhere-classified.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.