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AI exposure Business and financial operations

Will AI replace financial risk specialists?

Financial Risk Specialists. US occupation 13-2054.

26.5%

of the time financial risk specialists spend on their work goes on tasks where AI is already being used to do that work.of financial risk specialists' working hours go on tasks AI has already started taking off their plate.

Ranked 82 of 756 US occupations. More exposed than 89% of them.Further along than 89% of them.

Average US job 7.7%

Well above the typical job.Ahead of most of the workforce.

What AI already does for financial risk specialistsWhat financial risk specialists no longer do alone

O*NET lists 30 tasks for financial risk specialists. AI use at work shows up in 8 of them. Each score runs from 0.5, where every observed use helps a person with the task, to 1, where every use does the task outright.

  1. Evaluate and compare the relative quality of various securities in a given industry. mostly automated 1.00
  2. Recommend investments and investment timing to companies, investment firm staff, or the public. mostly automated 1.00
  3. Maintain input or data quality of risk management systems. mostly automated 0.96
  4. Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs. mostly automated 0.96
  5. Develop or implement risk-assessment models or methodologies. mostly automated 0.87
  6. Draw charts and graphs, using computer spreadsheets, to illustrate technical reports. mostly automated 0.86
  7. Produce reports or presentations that outline findings, explain risk positions, or recommend changes. automated and assisted 0.83
  8. Inform financial decisions by analyzing financial information to forecast business, industry, or economic conditions. automated and assisted 0.72

What it does not touch, yetWhat still needs a human

22 of the 30 tasks show no AI use at work in the data.

  • Analyze areas of potential risk to the assets, earning capacity, or success of organizations.
  • Analyze new legislation to determine impact on risk exposure.
  • Conduct statistical analyses to quantify risk, using statistical analysis software or econometric models.
  • Confer with traders to identify and communicate risks associated with specific trading strategies or positions.
  • Consult financial literature to ensure use of the latest models or statistical techniques.
  • Contribute to development of risk management systems.
Show the other 16
  • Determine potential environmental impacts of new products or processes on long-term growth and profitability.
  • Develop contingency plans to deal with emergencies.
  • Devise scenario analyses reflecting possible severe market events.
  • Devise systems or processes to monitor validity of risk assessments.
  • Document, and ensure communication of, key risks.
  • Evaluate the risks and benefits involved in implementing green building technologies.
  • Evaluate the risks related to green investments, such as renewable energy company stocks.
  • Gather risk-related data from internal or external resources.
  • 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.
  • Meet with clients to answer queries on subjects such as risk exposure, market scenarios, or values-at-risk calculations.
  • Monitor developments in the fields of industrial technology, business, finance, and economic theory.
  • Prepare plans of action for investment, using financial analyses.
  • Provide statistical modeling advice to other departments.
  • Recommend ways to control or reduce risk.
  • Review or draft risk disclosures for offer documents.
  • Track, measure, or report on aspects of market risk for traded issues.

How that compares

Among the 29 business and financial operations occupations, financial risk specialists rank 7. The group averages 17.7%, and its most exposed job is Market Research Analysts and Marketing Specialists at 64.8%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Just above in the ranking

  1. 79Computer Systems Analysts 27.6%
  2. 80Physicists 27.3%
  3. 81Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products 27.1%

Just below

  1. 83First-Line Supervisors of Retail Sales Workers 26.3%
  2. 84Education Teachers, Postsecondary 26.2%
  3. 85Chemists 26.1%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.