Clerical Support Workers Not Elsewhere Classified

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 4 task statements that define Clerical Support Workers Not Elsewhere Classified (ISCO-08 4419) score an average of 0.63 on a 0–1 exposure scale — more exposed than about 99% 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 4 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

“Receiving customers' orders for classified advertising, writing and editing copy, calculating advertising rates and billing customers;”

Scores 0.67 on the 2025 scale. The task of receiving customers' orders for classified advertising, writing and editing copy, calculating advertising rates, and billing customers consists of several components that have varying degrees of automation potential through Generative AI. The task is semantically similar to tasks involving clerical support and content generation, such as "Preparing internal investment ratings" (adjusted score: 0.6585) and "Conducting promotions and marketing of postal services" (adjusted score: 0.62). Like these tasks, the advertising task involves data handling, customer interaction, and creative elements, parts of which can be significantly automated by AI tools that process orders, generate text, and perform calculations. However, human oversight is crucial for crafting persuasive ad copy that aligns with client goals, handling nuanced customer requests, and ensuring rates are fairly calculated and billed. The scores of similar clerical and sales-related tasks ranged from moderate to high levels of automation potential, given the involvement of repetitive data processing coupled with human-centric elements that require judgment and creativity. Therefore, considering AI's capability to streamline substantial portions of the task in a digitally advanced context such as Poland, an adjusted score of 0.583 reflects both the strong potential for automation of certain elements, like order processing and rate calculations, and the necessity for human involvement in others, like content creation and customer-specific interactions.

Moving fastest, 2023 → 2025

“Assisting in the preparation of periodicals, advertisements, catalogues, directories and other material for publication;”

Model capability on this task changed by +0.01 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 4419, 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.

• Office and Administrative Support Workers, All Other
• Information and Record Clerks, All Other
• Order Clerks
• Correspondence Clerks

In context

Part of the 4 - Clerical support workers major group. Return to the full gradient to see how the whole group sits.

Clerical Support Workers Not Elsewhere Classified sit at the 99th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Clerical Support Workers Not Elsewhere Classified rank in the 99th 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 fell by 0.10 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Receiving customers' orders for classified advertising, writing and editing copy, calculating advertising rates and billing customers;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Clerical Support Workers Not Elsewhere Classified". https://singulariki.com/gradient/4419-clerical-support-workers-not-elsewhere-classified.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.