Finance occupation
Will AI replace Actuaries?
See how this occupation’s day-to-day work compares with other jobs in exposure to AI and automation, why it received this result, and where human skills remain essential.
Actuaries
Higher AI & automation exposure than 96% of jobs we compare.
Exposure index: 96 / 100
This compares the type of work in this job with the work in hundreds of other jobs.
This is a comparison between jobs — not a 96% chance of job loss.
Why did this job get this result?
- Analyzing mortality tables, loss reserves, and stochastic risk distributions requires heavy digital modeling.
- Actuarial rate-making and reserving methodologies follow standardized mathematical, statistical, and insurance principles.
- Work takes place in office settings using actuarial software and data tools without physical automation.
- Actuaries must exercise professional judgment when projecting novel risks—such as cyber threats or climate disruptions—where historical data is sparse.
- Explaining actuarial rate justifications, solvency margins, and risk models to insurance regulators and corporate executives requires persuasive communication.
How technology may change this work
Technology and human strengths
What AI & automation may affect
- Advanced predictive modeling software can automate traditional actuarial experience studies and loss development calculations.
- Cloud-based simulation engines can run millions of stochastic risk iterations in a fraction of traditional computing time.
Human strengths in this job
- Anticipating novel, emerging risk factors where historical loss statistics provide inadequate guidance
- Evaluating ethical implications of dynamic pricing models, underwriting segmentation, and insurance accessibility
- Translating sophisticated statistical uncertainties into strategic business decisions for executive boards
- Maintaining professional actuarial accountability for insurance solvency and long-term policyholder protection
How this result breaks down
These are model components, not percentages of the job or of how necessary people are.
How much the job involves information, data, writing, analysis or other digital work that AI and software may help with.
How much of the work follows regular, predictable or repeated steps.
How much of the physical work may be suitable for machines or robotics.
How much the job depends on judgment, creativity, communication and adapting to real situations.
How is the index calculated?
The Exposure Index is a percentile comparing this job's digital, routine, and physical tasks against all 897 occupations in the Model 2.1 dataset. A score of 96 means higher modeled exposure than approximately 96% of comparable jobs.
Your work may differ
How does your work compare?
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What people in this job commonly do
- Analyze data to determine premium rates required and cash reserves and liabilities necessary to ensure payment of future benefits.
- Analyze statistical information to estimate mortality, accident, sickness, disability, and retirement rates.
- Design, review, and help administer insurance, annuity and pension plans, determining financial soundness and calculating premiums.
- Collaborate with programmers, underwriters, accounts, claims experts, and senior management to help companies develop plans for new lines of business or improvements to existing business.
- Provide advice to clients on a contract basis, working as a consultant.
- Determine, or help determine, company policy, and explain complex technical matters to company executives, government officials, shareholders, policyholders, or the public.
How we compare jobs
We look at what people do in hundreds of occupations — including digital work, repeatable activities, physical automation and human skills — then compare the job with other occupations.
What this tool cannot predict
It cannot predict individual job loss, exact technology adoption timing or decisions by an individual employer.
Occupation and data details
O*NET-SOC: 15-2011.00
Career category: Finance
Typical education: Bachelor's degree
Data source: O*NET, U.S. Department of Labor.
This product includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Toolsyte has modified and scored some information; USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.