Securities and Finance Dealers and Brokers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 5 task statements that define Securities and Finance Dealers and Brokers (ISCO-08 3311) score an average of 0.63 on a 0–1 exposure scale — more exposed than about 99% 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 4 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 5 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Recording and transmitting buy and sell orders for securities, stocks, bonds or other financial instruments and for foreign exchange for future or immediate delivery.”

Scores 0.66 on the 2025 scale. The task of recording and transmitting buy and sell orders for securities and other financial instruments is highly structured, involving data collection, processing, and communication which generative AI excels in automating. This task is similar to executing client orders in terms of cash and non-cash operations (score 0.62) where AI can handle routine data entry and transaction processing but still requires human oversight for complex financial regulations and exceptions. Furthermore, it relates to allowing exchange brokers to transmit orders to the exchange (score 0.375) as both involve procedural and protocol-driven tasks that AI can streamline. Given that this task does not center around human interaction or judgment, but rather on handling structured repetitive data entries and ensuring timely transmission, it holds a higher automation potential than tasks requiring nuanced human interaction. Hence, a score of 0.57 reflects the substantial capacity for AI to automate order recording and transmission procedures, while maintaining necessary human oversight for exceptional and strategic decision-making to tackle market dynamics and compliance. This is in the context of a high-income country with good infrastructure, enabling efficient AI deployment.

U.S. occupations this maps to

The American O*NET/SOC roles that crosswalk to ISCO-08 3311, 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.

• Securities, Commodities, and Financial Services Sales Agents
• First-Line Supervisors of Non-Retail Sales Workers

In context

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

Securities and Finance Dealers and Brokers sit at the 99th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Securities and Finance Dealers and Brokers rank in the 99th 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: "Recording and transmitting buy and sell orders for securities, stocks, bonds or other financial instruments and for foreign exchange for future or immediate delivery.". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Securities and Finance Dealers and Brokers". https://singulariki.com/gradient/3311-securities-and-finance-dealers-and-brokers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.