Office Supervisors

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 6 task statements that define Office Supervisors (ISCO-08 3341) score an average of 0.43 on a 0–1 exposure scale — more exposed than about 80% 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 6 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Coordinating, assigning and reviewing the work of clerks engaged in the following duties: word processing, record keeping and filing, operating telephones and switchboards; data entry, desktop publishing and other activities involving general office and administrative skills;”

Scores 0.64 on the 2025 scale. The task of coordinating, assigning, and reviewing clerical work shares similarities with tasks like "Preparing sales registers" (0.65) and "Issuing sales invoices" (0.68), which involve structured processes and data handling, suggesting a moderate potential for automation by Generative AI. These tasks show that while routine processes can be automated, oversight remains important to handle exceptions and ensure quality. Furthermore, tasks like "Operating computer software containing a survey script" (0.675) reflect AI's capabilities in managing procedural tasks, aligning with the structured nature of clerical coordination work. The tasks require less human interaction and decision-making than tasks like "Designing and implementing new speech recognition algorithms" (0.7125), which necessitate creative problem-solving. Therefore, a score of 0.62 accounts for the structured, repetitive nature of the task while acknowledging the need for human supervision in achieving high accuracy and adapting to task-specific complexities. In a high-income country like Poland, with good technological infrastructure, the automation potential is further emphasized, though the nuanced coordination aspects might still require human insight.

Moving fastest, 2023 → 2025

“Resolving work-related problems and preparing and submitting progress and other reports;”

Model capability on this task changed by +0.17 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 3341, 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 Office and Administrative Support Workers

In context

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

Office Supervisors sit at the 80th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Office Supervisors rank in the 80th 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 0.02 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Coordinating, assigning and reviewing the work of clerks engaged in the following duties: word processing, record keeping and filing, operating telephones and switchboards; data entry, desktop publishing and other activities involving general office and administrative skills;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Office Supervisors". https://singulariki.com/gradient/3341-office-supervisors.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.