Archivists and Curators

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 10 task statements that define Archivists and Curators (ISCO-08 2621) score an average of 0.47 on a 0–1 exposure scale — more exposed than about 85% 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 10 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Planning and implementing the computerized management of archives and electronic records;”

Scores 0.67 on the 2025 scale. The task of planning and implementing the computerized management of archives and electronic records involves a combination of structured data handling, organization, and compliance with archiving standards, which aligns with tasks like "Archiving personnel documentation" and "Maintaining and storing patient health records" with adjusted scores of 0.585 and 0.575, respectively. Generative AI can assist in automating data organization, retrieval, and basic compliance checks through pattern recognition and the management of digital files. However, due to the task's complexity and the need for contextual understanding and decision-making in archiving protocols, complete automation is not feasible. Just as similar tasks require human oversight to ensure accuracy, confidentiality, and proper adherence to regulations, this task will also necessitate such human involvement. Given the context of performing this task in a high-income country like Poland with advanced digital infrastructure, the potential for automation is moderately high, thus justifying the adjusted score.

Moving fastest, 2023 → 2025

“Directing or carrying out the preparation of indexes, bibliographies, microfilm copies and other reference aids to the collected material and making them available to users;”

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 2621, 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.

• Curators
• Archivists

In context

Part of the 2 - Professionals major group. Return to the full gradient to see how the whole group sits.

Archivists and Curators sit at the 85th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Archivists and Curators rank in the 85th 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 0.04 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Planning and implementing the computerized management of archives and electronic records;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Archivists and Curators". https://singulariki.com/gradient/2621-archivists-and-curators.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.