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# Will AI replace bankers?

Updated October 2026

Stockbrokers score 64 of 100 for AI exposure. The largest share of their task time, 57%, is work AI speeds up while they stay in charge. AI can take over 41% outright, and 2% stays with people.

-   **41%** AI can do it
-   **57%** AI helps
-   **2%** Needs a person

High exposure

Higher than 95% of the 923 occupations we scored.

## Task by task

We graded 30 tasks, listed here from most to least exposed. AI can do 12 of them today, speeds up 17 and leaves 1 to people.

| Task | AI exposure |
| --- | --- |
| Complete sales order tickets and submit for processing of client-requested transactions. Order ticket completion is structured data entry from client requests. | 80% AI can do it |
| Calculate costs for billings or commissions. Commission and billing calculations are structured and rule-based. | 80% AI can do it |
| Supply the latest price quotes on any security, as well as information on the activities or financial positions of the corporations issuing these securities. Quotes and issuer information are retrievable from data feeds. | 75% AI can do it |
| Relay buy or sell orders to securities exchanges or to firm trading departments. Order routing to exchanges and desks is largely software-driven. | 75% AI can do it |
| Keep accurate records of transactions. Trade logs and recordkeeping systems capture transactions automatically. | 70% AI can do it |

[See what AI can take on across a sales team](https://www.aigentcy.com/ai-for/sales/)

## How stockbrokers compare

All occupations (923)

Sales and related (22)

**Stockbrokers score 64**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 54 for sales and related.

## Pay and outlook in the US

Median pay

$78,660 a year, May 2025

People employed

489,570 in the US, May 2025

Projected change in jobs

+1.4% from 2024 to 2034

## Skills to build

-   Hold the Series 7 and Series 66 licences
-   Conduct client interviews on assets, liabilities, and objectives
-   Negotiate trade prices with counterparties in live calls
-   Model price targets in Microsoft Excel before negotiations
-   Log client objectives and follow-ups in Salesforce software
-   Build client pitch decks in Microsoft PowerPoint

## Safer roles nearby

5 related occupations with lower scores.

-   [Financial analysts58 out of 100](https://www.aigentcy.com/ai-exposure/financial-analysts/)
-   [Financial advisors60 out of 100](https://www.aigentcy.com/ai-exposure/financial-advisors/)
-   [Investment fund managers53 out of 100](https://www.aigentcy.com/ai-exposure/investment-fund-managers/)
-   [Financial risk specialists60 out of 100](https://www.aigentcy.com/ai-exposure/financial-risk-specialists/)
-   [Loan officers63 out of 100](https://www.aigentcy.com/ai-exposure/loan-officers/)

## Questions about stockbrokers and AI

Will bankers be replaced by AI?

Partly. About 5 in 10 working hours go to tasks AI can already do, mostly order ticket entry and commission calculations. Client interviews, price negotiation, and staff supervision stay with people because they need live judgement and trust.

What tasks will AI take from stockbrokers?

Completing order tickets, with an exposure score of 80, is structured data entry from client requests. Relaying buy and sell orders to exchanges, with an exposure score of 75, is largely software-driven. Both cut the clerical share of the day.

Which tasks stay human for stockbrokers?

Supervising support staff, with an exposure score of 20, is people management that needs live judgement. Negotiating prices and contracts, at 30, involves live give and take with counterparties. Client interviews, at 35, stay human because AI can pre-fill forms, but the conversation still needs a person.

How can stockbrokers stay valuable with AI?

Run each client interview yourself, then log the stated objectives in Salesforce so follow-ups carry the record. Model price targets in Excel before a negotiation, and take the result into the live counterparty call. Pitch trusts and investments in PowerPoint tied to each client's goals.

## Related jobs

-   [Credit analysts62 out of 100](https://www.aigentcy.com/ai-exposure/credit-analysts/)
-   [Sales representatives of services66 out of 100](https://www.aigentcy.com/ai-exposure/sales-representatives-of-services/)
-   [Tellers53 out of 100](https://www.aigentcy.com/ai-exposure/tellers/)
-   [Financial managers49 out of 100](https://www.aigentcy.com/ai-exposure/financial-managers/)

## Next steps for stockbrokers

-   ### Check your job
    
    Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do.
    
    [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/)
    

### Check which roles in your team AI can take on

We map your team's tasks, show what AI can do today and build the automations that pay back first.

[Book an AI audit](https://www.aigentcy.com/audit/)

## Related topics

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-   [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/)
-   [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/)
-   [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/)
-   [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/)
-   [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/)
-   [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/)

Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.
