Financial and Insurance Services Branch managers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 11 task statements that define Financial and Insurance Services Branch managers (ISCO-08 1346) score an average of 0.47 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 11 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Examining, evaluating and processing loan and insurance applications;”

Scores 0.64 on the 2025 scale. The task of examining, evaluating, and processing loan and insurance applications involves structured data analysis, document processing, and compliance with specific criteria, all areas where Generative AI has notable capabilities. Semantically similar tasks such as "Analyzing loan applications, including conducting a creditworthiness assessment" and "Preparing credit applications and conducting preliminary analysis" received adjusted scores in the range of 0.59 to 0.62, reflecting the potential for significant automation in the areas of data retrieval, processing, and initial evaluations. AI excels at managing repetitive data tasks and generating initial assessments based on predefined criteria, making these tasks highly automatable. However, loan and insurance applications require a degree of human oversight for final judgment, personalized assessment, and adherence to regulatory standards. Given that this task takes place in a high-income country like Poland, where digital infrastructure supports the utilization of technology in such processes, the adjusted score of 0.62 adequately reflects the balance between what AI can automate and where human expertise is required for nuanced decision-making and personalization.

Moving fastest, 2023 → 2025

“Overseeing the flow of cash and financial instruments, and the preparation of financial and regulatory reports;”

Model capability on this task changed by +0.33 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 1346, 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.

• General and Operations Managers
• Financial Managers
• Treasurers and Controllers
• Investment Fund Managers

In context

Part of the 1 - Managers major group. Return to the full gradient to see how the whole group sits.

Financial and Insurance Services Branch managers sit at the 84th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Financial and Insurance Services Branch managers 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 0.06 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Examining, evaluating and processing loan and insurance applications;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Financial and Insurance Services Branch managers". https://singulariki.com/gradient/1346-financial-and-insurance-services-branch-managers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.