Administrative and Executive Secretaries

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 8 task statements that define Administrative and Executive Secretaries (ISCO-08 3343) score an average of 0.54 on a 0–1 exposure scale — more exposed than about 91% 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 3 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 8 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Screening requests for meetings, and scheduling and organizing meetings and travel arrangements;”

Scores 0.72 on the 2025 scale. The task of screening requests for meetings, scheduling, and organizing meetings and travel arrangements aligns closely with tasks involving routine scheduling and structured data handling, such as "scheduling sales meetings" with an adjusted score of 0.775. Generative AI tools can effectively manage calendar appointments, send reminders, and optimize travel plans based on predefined criteria and client preferences, which are common in a high-income country like Poland where technological access is high. The task is less complex than those requiring nuanced human interaction and strategic decision-making seen in managerial or creative roles, justifying a lower score than some managerial tasks but higher for routine and structured tasks. Therefore, a score of 0.68 reflects the significant capability of AI in automating scheduling and basic organizing processes, while acknowledging the need for human oversight in handling complex requests and personalized adjustments. This score is consistent with other semantically similar tasks that involve repetitive and automated components, yet includes the necessity for some human interaction for tailored services.

Moving fastest, 2023 → 2025

“Supervising the work of clerical support workers.”

Model capability on this task changed by +0.25 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 3343, 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.

• Executive Secretaries and Executive Administrative Assistants

In context

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

Administrative and Executive Secretaries sit at the 91st percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Administrative and Executive Secretaries rank in the 91st 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 0.04 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Screening requests for meetings, and scheduling and organizing meetings and travel arrangements;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Administrative and Executive Secretaries". https://singulariki.com/gradient/3343-administrative-and-executive-secretaries.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.