Financial and Investment Advisers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 6 task statements that define Financial and Investment Advisers (ISCO-08 2412) score an average of 0.57 on a 0–1 exposure scale — more exposed than about 96% 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 6 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Arranging to buy and sell stocks and bonds for clients;”

Scores 0.66 on the 2025 scale. The task of arranging to buy and sell stocks and bonds for clients is closely aligned with tasks involving financial analysis, client interaction, and decision-making, similar to the tasks "Preparing internal investment ratings" (0.658) and "Analyzing and monitoring the investment product market" (0.625). Generative AI can significantly enhance automation potential by analyzing large datasets, identifying optimal trade opportunities, and generating insights for both buying and selling securities. However, the task also requires human expertise to understand client-specific needs, regulatory compliance, and nuanced market conditions which are not fully automatable. Considering the capabilities of Generative AI in handling structured data and the need for human oversight and judgement, the score aligns more closely with tasks that require a blend of automation and human intervention. Given the high-income context with robust technological infrastructure, the adjusted score reflects AI's substantial support in automating analytical and routine elements while acknowledging essential human judgment required in strategic decision-making.

Moving fastest, 2023 → 2025

“Interviewing clients to determine financial status and objectives, risk tolerance and other information needed to develop financial plans and investment strategies;”

Model capability on this task changed by +0.43 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 2412, 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.

• Financial and Investment Analysts
• Personal Financial Advisors

In context

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

Financial and Investment Advisers sit at the 96th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Financial and Investment Advisers rank in the 96th 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 0.12 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Arranging to buy and sell stocks and bonds for clients;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Financial and Investment Advisers". https://singulariki.com/gradient/2412-financial-and-investment-advisers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.