Police Inspectors and Detectives

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 6 task statements that define Police Inspectors and Detectives (ISCO-08 3355) score an average of 0.23 on a 0–1 exposure scale — more exposed than about 42% 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 6 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Establishing contacts and sources of information not readily available or apparent concerning establishments or the circumstances and behaviour of persons, usually with the aim of preventing a crime;”

Scores 0.28 on the 2025 scale. The task of establishing contacts and sources of information concerning establishments or individuals with the aim of preventing a crime is primarily reliant on human judgment, decision-making, situational awareness, and often sensitive interpersonal interaction. These aspects are only partially automatable with current Generative AI technologies. While AI systems can assist by analyzing data, suggesting potential networks, and managing information flow, the core of this task requires nuanced evaluation and human intelligence to build trust, assess risks, and effectively gather information to prevent crimes. Comparatively, semantically similar tasks such as "Acquiring information about the type of incident or threat" and "Relaying information about gathering places of addicted individuals" had scores of 0.385 and 0.36875, respectively. These tasks similarly require human discretion and judgment despite potential AI assistance in structuring data and initial reporting. However, the analyzed task is more complex and involves more direct interpersonal engagement than simply reporting or acquiring data. Considering the capabilities of Generative AI to partially automate structured and data-driven components while recognizing the task's reliance on critical human elements, especially in the context of a high-income country like Poland, a score of 0.32 reflects the limited but present potential for AI assistance in information gathering and contact establishment. This aligns it closer to tasks implying a balance between AI assistance and substantial human involvement.

Moving fastest, 2023 → 2025

“Obtaining and verifying evidence by examining crime and accident scenes for clues and physical evidence, interviewing witnesses and suspects and analysing documents and computer files;”

Model capability on this task changed by +0.16 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 3355, 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.

• First-Line Supervisors of Police and Detectives
• Detectives and Criminal Investigators
• Police Identification and Records Officers
• Intelligence Analysts

In context

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

Police Inspectors and Detectives sit at the 42nd percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Police Inspectors and Detectives rank in the 42nd 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 rose by 0.03 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Establishing contacts and sources of information not readily available or apparent concerning establishments or the circumstances and behaviour of persons, usually with the aim of preventing a crime;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Police Inspectors and Detectives". https://singulariki.com/gradient/3355-police-inspectors-and-detectives.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.