Will AI replace Securities, Commodities, and Financial Services Sales Agents?
Estimated risk score: 84 out of 100
Very high replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (65 to 100).
For the occupation as a whole, from ratings of its 30 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 41-3031.00 · Sales and Related
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 23 of its 30 rated tasks; the first 6 are shown. In O*NET’s words.
- Calculate costs for billings or commissions.
- Complete sales order tickets and submit for processing of client-requested transactions.
- Explain stock market terms or trading practices to clients.
- Keep accurate records of transactions.
- Report all positions or trading results.
- Prepare and send requests for price quotations to all companies in a particular market.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 0 of its 30 rated tasks. In O*NET’s words.
None of its rated tasks.
What the job is
Buy and sell securities or commodities in investment and trading firms, or provide financial services to businesses and individuals. May advise customers about stocks, bonds, mutual funds, commodities, and market conditions.
Also called: Equity Trader, Day Trader, Speculator, Bond Broker, Bond Trader, Flow Trader, Loan Broker, Block Trader.
Closest jobs we score by hand
In the same field (Sales and Related). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate