Will AI replace bankers?
Updated
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 |
| Report all positions or trading results. Position and P&L reports generate from trading data systems. | 70% AI can do it |
| Prepare and send requests for price quotations to all companies in a particular market. Standard quote request emails and lists can be drafted and sent. | 70% AI can do it |
| Prepare financial reports to monitor client or corporate finances. Financial reports are generated from account and ledger data. | 70% AI can do it |
| Monitor markets or positions. Software monitors markets and positions with alerts; person reviews. | 65% AI can do it |
| Review all securities transactions to ensure accuracy of information and conformance to governing agency regulations. Rule-based compliance checks on trades are already heavily automated. | 65% AI can do it |
Show the other 20 tasks
| Task | AI exposure |
|---|---|
| Inform other traders, managers, or customers of market conditions, including volume, price, competition, or dynamics. Market commentary and updates are routine writing from live data. | 65% AI can do it |
| Explain stock market terms or trading practices to clients. Explaining market terms and practices is well suited to AI assistants. | 60% AI can do it |
| Track and analyze factors that affect price movement, such as trade policies, weather conditions, political developments, or supply and demand changes. AI scans news and data for price drivers; analyst interprets. | 58% AI helps |
| Develop financial plans, based on analysis of clients' financial status. AI drafts plans from financial data; advisor must validate and own. | 55% AI helps |
| Price securities or commodities based on market conditions. Pricing models run on data; trader judges conditions and adjusts. | 55% AI helps |
| Evaluate costs and revenue of agreements to determine continued profitability. AI computes cost and revenue trends; reviewer judges continued profitability. | 55% AI helps |
| Make bids or offers to buy or sell securities. Order placement is largely electronic; traders still set prices. | 50% AI helps |
| Determine customers' financial services needs and prepare proposals to sell services that address these needs. AI drafts needs analysis and proposals; advisor tailors and sends. | 50% AI helps |
| Buy or sell stocks, bonds, commodity futures, foreign currencies, or other securities on behalf of investment dealers. Execution is mostly algorithmic; traders keep accountability. | 45% AI helps |
| Devise trading, option, or hedge strategies. AI models strategy scenarios; trader sets and approves the hedge. | 45% AI helps |
| Identify opportunities or develop channels for purchase or sale of securities or commodities. AI speeds research and prospecting; channel development needs relationships. | 40% AI helps |
| Contact prospective customers to present information and explain available services. AI drafts outreach and pitch materials; calls and relationship building stay human. | 40% AI helps |
| Purchase or sell financial derivatives for customers. Derivative trades need risk judgement; AI supports analysis and execution. | 40% AI helps |
| Agree on buying or selling prices at optimal levels for clients. Price targets can be modeled, but live negotiation needs judgement. | 35% AI helps |
| Interview clients to determine clients' assets, liabilities, cash flow, insurance coverage, tax status, or financial objectives. AI can pre-fill from documents; the client interview stays human. | 35% AI helps |
| Offer advice on the purchase or sale of particular securities. Security advice is regulated; AI drafts, licensed person must stand behind it. | 35% AI helps |
| Discuss financial options with clients and keep them informed about transactions. Routine status updates automate; option discussions need a human. | 30% AI helps |
| Negotiate prices or contracts for securities or commodities sales or purchases. Contract price negotiation involves live give and take with counterparties. | 30% AI helps |
| Sell services or equipment, such as trusts, investments, or check processing services. Selling trusts and investments depends on client trust and persuasion. | 30% AI helps |
| Supervise support staff and ensure proper execution of contracts. Supervising staff is people management requiring live judgement. | 20% Needs a person |
How stockbrokers compare
All occupations (923)
Sales and related (22)
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.
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.
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