Protective Services Workers Not Elsewhere Classified

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 5 task statements that define Protective Services Workers Not Elsewhere Classified (ISCO-08 5419) score an average of 0.20 on a 0–1 exposure scale — more exposed than about 32% 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 Not exposed 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

“Patrolling an assigned area to enforce parking regulations;”

Scores 0.24 on the 2025 scale. The task of patrolling an assigned area to enforce parking regulations involves a combination of situational awareness, decision-making, and public interaction, which current Generative AI cannot fully automate. This task shares similarities with others that involve oversight and adherence to regulations, such as controlling vehicle entry/exit or maintaining parking lot equipment. Scores for semantically similar tasks, like recording vehicle movements (0.325) and controlling vehicle flow (0.26), indicate partial automation potential where AI can assist with components like data processing or automatic recognition systems, but not the decision-making aspects. Given that the task needs human presence for effective law enforcement and addressing dynamic, context-specific issues in real-time, a slightly lower score than similar automation-friendly tasks is justified. Considering the high-income context of Poland with its technological resources, AI could aid in monitoring and reporting but still requires human oversight. Thus, the adjusted automation score reflects AI’s supportive yet limited role in tasks demanding critical human judgment and presence.

Moving fastest, 2023 → 2025

“Patrolling an assigned area to enforce parking regulations;”

Model capability on this task changed by +0.04 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 5419, 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.

• Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers
• Public Safety Telecommunicators
• Crossing Guards and Flaggers
• Protective Service Workers, All Other
• Retail Loss Prevention Specialists
• First-Line Supervisors of Protective Service Workers, All Other
• Animal Control Workers
• Parking Enforcement Workers

In context

Part of the 5 - Service and sales workers major group. Return to the full gradient to see how the whole group sits.

Protective Services Workers Not Elsewhere Classified sit at the 32nd percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Protective Services Workers Not Elsewhere Classified rank in the 32nd 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 0.01 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Patrolling an assigned area to enforce parking regulations;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Protective Services Workers Not Elsewhere Classified". https://singulariki.com/gradient/5419-protective-services-workers-not-elsewhere-classified.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.