Will AI replace Financial Managers?
Estimated risk score: 67 out of 100
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 (48 to 86).
For the occupation as a whole, from ratings of its 21 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 11-3031.00 · Management
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: 9 of its 21 rated tasks; the first 6 are shown. In O*NET’s words.
- Evaluate data pertaining to costs to plan budgets.
- Oversee the flow of cash or financial instruments.
- Develop or analyze information to assess the current or future financial status of firms.
- Examine, evaluate, or process loan applications.
- Prepare financial or regulatory reports required by laws, regulations, or boards of directors.
- Prepare operational or risk reports for management analysis.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 1 of its 21 rated tasks. In O*NET’s words.
- Network within communities to find and attract new business.
What the job is
Plan, direct, or coordinate accounting, investing, banking, insurance, securities, and other financial activities of a branch, office, or department of an establishment.
Also called: Financial Center Manager, Banking Center Manager (BCM), Credit Administration Manager, BCM, Paymaster, ATM Manager, Tax Manager, Bank Manager.
Closest jobs we score by hand
In the same field (Management). 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