Mostly Resilient
Last Update: 7/31/2026
AI Resilience Score for Actuaries:
55.3%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forActuaries
$130,000 median salary•2,400 annual openings•SOC Code: 15-2011.00
Actuaries are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Actuaries are labeled "Mostly Resilient" because AI is largely making their work faster and more powerful rather than replacing them entirely. Tools like machine learning and generative AI are handling repetitive tasks like drafting reports and spotting data patterns, but the human judgment, client-specific problem solving, and ethical decision-making that sit at the heart of actuarial work are much harder for AI to replicate.
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Actuaries are labeled "Mostly Resilient" because AI is largely making their work faster and more powerful rather than replacing them entirely. Tools like machine learning and generative AI are handling repetitive tasks like drafting reports and spotting data patterns, but the human judgment, client-specific problem solving, and ethical decision-making that sit at the heart of actuarial work are much harder for AI to replicate.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Actuaries
Updated Quarterly
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.
Sources
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
Will AI replace Actuaries?
No. We don't think AI will replace Actuaries, though we do expect the job to change.
Our 55.3% AI Resilience Score reflects a career that is holding up well, but not one that gets to stand still. Right now, AI is mostly augmenting actuaries rather than replacing them. Machine learning tools are being embedded in pricing, reserving, and underwriting, and generative AI is helping actuaries draft reports and build better models [1]. The repetitive, number-crunching work at junior levels is most at risk of being automated, but that shifts demand upward toward interpretation, judgment, and client-facing problem solving.
What keeps actuaries safe is the part AI genuinely struggles with: explaining decisions to regulators, navigating ethical tradeoffs, and earning the trust of clients in high-stakes situations. Tellingly, Microsoft's list of jobs most likely to be replaced by AI included mathematicians and data scientists but not actuaries, precisely because human judgment still matters here [2]. The U.S. Bureau of Labor Statistics projects 22% growth for actuaries through 2033, well above average, and actuarial unemployment stayed under 1% throughout 2025 [3].
The honest advice: learn the AI tools, build your communication skills, and treat this shift as an opportunity to move into the higher-value work AI cannot do.
Sources
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Latest AI news for Actuaries
These articles highlight how AI is reshaping actuarial careers, emphasizing the need for adaptability. For instance, the EY article discusses how generative AI is transforming insurance operations, suggesting a shift towards data-driven decision-making. Similarly, RSM's analysis shows that generative AI enables actuaries to focus on more complex, judgment-based tasks. As actuaries embrace these advancements, they can enhance their roles, ensuring they remain valuable in an evolving landscape. This resilience is crucial for success in a profession increasingly integrated with AI technologies.
FIS Risk Technology Takes Top Industry Honors for AI-Embedded Actuarial Modeling and Cloud Infrastructure
www.businesswire.com • 7/14/2026
Global financial technology leader FIS® (NYSE: FIS) has received two major industry awards recognizing innovation in risk technology.
What actuaries need to know about Agentic AI
fintech.global • 7/13/2026
Agentic AI is reshaping actuarial pricing, but generic tools risk black box failures. Read the analysis here.
AI in actuarial functions: how insurers transform operations
www.ey.com • 6/20/2026
Learn how AI in actuarial functions and generative AI in insurance are transforming operations, use cases and future actuarial roles.
Arbital Health Marks Rapid Market Adoption of Actuarial AI in Value-Based Care
www.prnewswire.com • 3/5/2026
Payers and Providers Deploy Merlin AI to Drive Smarter Risk Contracting and Maximize Operational Impact. SAN FRANCISCO, March 5,...
Practical applications of gen AI in actuarial work
rsmus.com • 8/12/2025
RSM analyzes how generative AI is revolutionizing actuarial work, enabling actuaries to focus on higher-value, judgment-driven work.
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.
Parent Careers
Employment & Wage Data
Median Wage
$130,000
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
Testify before public agencies on proposed legislation affecting businesses.
2
Construct probability tables for events such as fires, natural disasters, and unemployment, based on analysis of statistical data and other pertinent information.
3
Provide advice to clients on a contract basis, working as a consultant.
4
Determine or help determine company policy, and explain complex technical matters to company executives, government officials, shareholders, policyholders, or the public.
5
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
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
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.
