Mostly Resilient

Last Update: 5/19/2026

Your role’s AI Resilience Score is

51.6%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
Medium-high

Contributing sources

AI Resilience Report forActuaries

Actuaries are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Actuaries are holding up really well against AI because their work goes beyond crunching numbers — it requires human judgment, client-specific problem solving, and the ability to explain complex risks to real people making high-stakes decisions. AI is actually becoming a helpful teammate here, automating the repetitive and time-consuming tasks so actuaries can focus on the more meaningful work of interpreting results and giving strategic advice.

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Learn more about how you can thrive in this position

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Analysis
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News
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This role is mostly resilient

Actuaries are holding up really well against AI because their work goes beyond crunching numbers — it requires human judgment, client-specific problem solving, and the ability to explain complex risks to real people making high-stakes decisions. AI is actually becoming a helpful teammate here, automating the repetitive and time-consuming tasks so actuaries can focus on the more meaningful work of interpreting results and giving strategic advice.

Read full analysis

Analysis of Current AI Resilience

Actuaries

Updated Quarterly • Last Update: 5/14/2026

Analysis
Suggested Actions
State of Automation

How is AI changing Actuaries jobs?

Right now, AI is mostly augmenting actuaries—helping them work faster—rather than replacing them. According to the Society of Actuaries, machine learning tools that seemed experimental a few years ago are increasingly being embedded in pricing, reserving, underwriting, claims and reporting processes, and generative AI is helping actuaries draft reports, improve communications, automate documentation, and enhance modeling by creating synthetic datasets. In property and casualty insurance, machine-learning methods like gradient boosting and neural networks can outperform traditional models [1] at spotting complex risk patterns.

A March 2026 article in Contingencies notes that repetitive analyst tasks are most at risk of being automated, so fewer roles may exist at junior levels while demand grows for mid-level interpretation and decision-making. Tellingly, Microsoft's viral list of jobs most likely to be replaced by AI included mathematicians and data scientists—but not actuaries [2], because human judgment and client-specific problem solving still matter.

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AI Adoption

How fast is AI adoption growing for Actuaries?

Adoption is happening quickly in some areas and cautiously in others. Industry publication Digital Insurance reports that AI has emerged as a transformative force in actuarial practices, with insurers using it to automate routine tasks, build predictive models, and boost fraud detection accuracy. But several brakes slow things down: the SOA highlights obstacles including model transparency, a scarcity of actuaries with advanced ML skills, integration with legacy systems, and regulatory uncertainty, plus strict rules like the EU's AI Act demanding explainability.

The good news for students: the U.S. Bureau of Labor Statistics projects 22% growth for actuaries from 2023 to 2033 [3], far above average, and recruiters note that actuarial unemployment stayed under 1% throughout 2025. As one industry leader puts it, those who courageously adapt will shape the future of actuarial science—so learning AI tools, communication, and ethics now is the smartest move.

Sources

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More Career Info

Career: Actuaries

They analyze data and use math to predict financial risks, helping companies plan for the future and make smart decisions about money.

Employment & Wage Data

Median Wage

$125,770

Jobs (2024)

33,600

Growth (2024-34)

+21.8%

Annual Openings

2,400

Education

Bachelor's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

93% ResilienceCore Task

Testify before public agencies on proposed legislation affecting businesses.

2

91% ResilienceCore Task

Construct probability tables for events such as fires, natural disasters, and unemployment, based on analysis of statistical data and other pertinent information.

3

88% ResilienceCore Task

Provide advice to clients on a contract basis, working as a consultant.

4

82% ResilienceCore Task

Determine or help determine company policy, and explain complex technical matters to company executives, government officials, shareholders, policyholders, or the public.

5

81% ResilienceCore Task

Testify in court as expert witness or to provide legal evidence on matters such as the value of potential lifetime earnings of a person who is disabled or killed in an accident.

6

78% ResilienceCore Task

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.

7

65% ResilienceSupplemental

Explain changes in contract provisions to customers.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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