Management and Organization Analysts

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 9 task statements that define Management and Organization Analysts (ISCO-08 2421) score an average of 0.46 on a 0–1 exposure scale — more exposed than about 84% 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 9 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Assisting in implementing approved recommendations, issuing revised instructions and procedure manuals, and drafting other documentation;”

Scores 0.61 on the 2025 scale. The task of assisting in implementing approved recommendations, issuing revised instructions and procedure manuals, and drafting other documentation shares similarities with tasks such as developing technological documentation (0.60) and maintaining documentation regarding inspection compliance (0.33). Both tasks involve generating structured content, with potential assistance from Generative AI in drafting and organizing information, but they require significant human expertise for contextual understanding and ensuring alignment with specific standards. Given that this task involves a combination of document creation and implementation of tailored solutions, it requires more nuanced human intervention than purely procedural documentation tasks, yet less so than tasks demanding high interpersonal interaction. The task is performed in a technology-rich environment like Poland, which supports the increased potential for AI assistance. An adjusted score of 0.58 reflects the task’s position within the context of these semantically similar tasks, acknowledging both the substantial potential of AI in drafting and structuring documentation and the continued necessity for human oversight and strategic input.

Moving fastest, 2023 → 2025

“Preparing and recommending proposals to revise methods and procedures, alter work flows, redefine job functions and resolve organizational problems;”

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 2421, 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.

• Management Analysts
• Logisticians
• Logistics Engineers
• Logistics Analysts

In context

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

Management and Organization Analysts sit at the 84th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Management and Organization Analysts rank in the 84th 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 0.03 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Assisting in implementing approved recommendations, issuing revised instructions and procedure manuals, and drafting other documentation;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Management and Organization Analysts". https://singulariki.com/gradient/2421-management-and-organization-analysts.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.