Will AI replace risk managers?
Updated
Financial risk specialists score 60 of 100 for AI exposure. The largest share of their task time, 80%, is work AI speeds up while they stay in charge. AI can take over the other 20% outright.
- 20% AI can do it
- 80% AI helps
High exposure
Higher than 91% of the 923 occupations we scored.
Task by task
We graded 30 tasks, listed here from most to least exposed. AI can do 6 of them today, speeds up 24 and leaves 0 to people.
| Task | AI exposure |
|---|---|
| Draw charts and graphs, using computer spreadsheets, to illustrate technical reports. Spreadsheet assistants generate charts from data readily. | 75% AI can do it |
| Track, measure, or report on aspects of market risk for traded issues. Risk measurement is largely systematic; AI handles routine reporting. | 68% AI can do it |
| Document, and ensure communication of, key risks. Drafting risk documentation is strong AI work; distribution needs oversight. | 65% AI helps |
| Gather risk-related data from internal or external resources. Pulling data from databases and filings is largely automatable. | 65% AI can do it |
| Maintain input or data quality of risk management systems. Data validation rules are automatable; oversight stays human. | 65% AI can do it |
| Monitor developments in the fields of industrial technology, business, finance, and economic theory. AI aggregates news and filings well; humans filter relevance. | 65% AI can do it |
| Produce reports or presentations that outline findings, explain risk positions, or recommend changes. AI drafts reports and slides; findings need human verification. | 65% AI can do it |
| Analyze areas of potential risk to the assets, earning capacity, or success of organizations. AI can scan and list risk areas; person weighs materiality. | 55% AI helps |
| Conduct statistical analyses to quantify risk, using statistical analysis software or econometric models. Code assistants write stats scripts; analyst validates model results. | 55% AI helps |
| Consult financial literature to ensure use of the latest models or statistical techniques. AI searches and summarizes papers; currency must be checked. | 55% AI helps |
Show the other 20 tasks
| Task | AI exposure |
|---|---|
| Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs. AI reads market data and trends; interpretation stays with analysts. | 55% AI helps |
| Review or draft risk disclosures for offer documents. AI drafts disclosure language; counsel must approve legal wording. | 55% AI helps |
| Analyze new legislation to determine impact on risk exposure. LLMs summarize bills quickly; analyst judges exposure impact. | 50% AI helps |
| Develop or implement risk-assessment models or methodologies. AI helps code and document models; expert designs methodology. | 50% AI helps |
| Devise scenario analyses reflecting possible severe market events. AI generates stress scenarios; experts select plausible severe events. | 50% AI helps |
| Evaluate and compare the relative quality of various securities in a given industry. AI can compare metrics across securities; analyst judges quality. | 50% AI helps |
| Identify key risks and mitigating factors of potential investments, such as asset types and values, legal and ownership structures, professional reputations, customer bases, or industry segments. Document review helps; legal and reputational checks need people. | 50% AI helps |
| Inform financial decisions by analyzing financial information to forecast business, industry, or economic conditions. AI can analyze financials and forecasts; humans take responsibility for conclusions. | 50% AI helps |
| Contribute to development of risk management systems. AI can draft code and designs; firm decides architecture. | 45% AI helps |
| Develop contingency plans to deal with emergencies. AI drafts contingency plan templates; staff tailor and approve. | 45% AI helps |
| Devise systems or processes to monitor validity of risk assessments. Monitoring logic can be coded; design needs expert oversight. | 45% AI helps |
| Prepare plans of action for investment, using financial analyses. AI drafts investment plans from analysis; approval is human. | 45% AI helps |
| Recommend ways to control or reduce risk. AI suggests controls; choosing and enforcing them needs judgment. | 45% AI helps |
| Determine potential environmental impacts of new products or processes on long-term growth and profitability. Environmental impact analysis is mostly research and judgment. | 40% AI helps |
| Evaluate the risks related to green investments, such as renewable energy company stocks. AI can summarize green investment risks; judgment still needed. | 40% AI helps |
| Evaluate the risks and benefits involved in implementing green building technologies. Green building risk needs site and engineering expertise. | 35% AI helps |
| Provide statistical modeling advice to other departments. Advice to departments is interpersonal; AI supports modeling questions. | 35% AI helps |
| Confer with traders to identify and communicate risks associated with specific trading strategies or positions. Trader conversations are live; AI only preps briefing notes. | 25% AI helps |
| Meet with clients to answer queries on subjects such as risk exposure, market scenarios, or values-at-risk calculations. Client meetings are live; AI prepares answers and exposure summaries. | 25% AI helps |
| Recommend investments and investment timing to companies, investment firm staff, or the public. Investment recommendations carry legal duty; human advisers stay accountable. | 25% AI helps |
How financial risk specialists compare
All occupations (923)
Business and financial operations (48)
Pay and outlook in the US
- Median pay
- $117,330 a year, May 2025
- People employed
- 63,850 in the US, May 2025
- Projected change in jobs
- +7.4% from 2024 to 2034
Skills to build
- Run value-at-risk and stress models in Python or R
- Write SQL queries that pull position and exposure data
- Build risk dashboards for committees in Power BI or Tableau
- Maintain data quality rules in risk management systems
- Hold the FRM credential from GARP
Safer roles nearby
5 related occupations with lower scores.
Questions about financial risk specialists and AI
Will risk managers be replaced by AI?
Partly. About 5 in 10 working hours go to tasks AI can already do, mostly drawing charts in spreadsheets and routine market risk reporting. Live conversations with traders, clients and committees stay with people.
Which tasks will AI take from financial risk specialists?
Chart drawing in Excel goes first, with an exposure score of 75, since spreadsheet assistants build charts from data readily. Market risk tracking follows at 68, because measuring risk for traded issues is largely systematic. Gathering risk data from databases and filings sits at 65, since those pulls are largely automatable.
Which tasks stay with financial risk specialists?
Trader conversations stay human, since they are live and AI only prepares briefing notes. Client meetings on value-at-risk and market scenarios stay human for the same reason. Investment recommendations stay with people because they carry a legal duty that an accountable adviser must own.
How can financial risk specialists stay valuable?
Take responsibility for the data and model checks behind every risk number. Validate inputs in SQL and Python before any report reaches a committee, and log each rule you change. Test value-at-risk outputs in R or Python, then walk traders and clients through the results in person. Keep the FRM credential current, since employers still expect a named professional behind each figure.
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