Mostly Resilient
Last Update: 6/19/2026
AI Resilience Score for Actuaries:
53.7%
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
$125,770 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 6 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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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is mostly resilient
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.
Read full analysisAnalysis 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 53.7% AI Resilience Score puts this career in "Mostly Resilient" territory, and the evidence backs that up. AI is already embedded in actuarial work, helping with pricing, reserving, fraud detection, and report drafting. Machine learning models can outperform traditional approaches at spotting complex risk patterns [1]. But that is augmentation, not replacement. The tools are making actuaries faster, not obsolete.
What stays human is the part that matters most: interpreting results, navigating regulatory scrutiny, and applying judgment to client-specific problems. Strict rules around model explainability put real limits on how far automation can go without a credentialed professional in the loop [1]. Notably, Microsoft's widely cited list of jobs most likely to be replaced by AI included mathematicians and data scientists but not actuaries [2], precisely because human judgment is baked into the role.
The job market picture is also encouraging. The U.S. Bureau of Labor Statistics projects 22% growth for actuaries from 2023 to 2033, well above average [3]. Junior, repetitive tasks will shrink, but mid-level interpretation and decision-making roles are growing. Students who learn AI tools alongside communication and ethics will be well positioned.
Sources
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Latest AI news for Actuaries
These articles highlight how AI is transforming actuarial careers with a focus on innovation and efficiency. For instance, RSM discusses how generative AI allows actuaries to concentrate on higher-value tasks, enhancing their role as strategic advisors. Meanwhile, Deloitte emphasizes the importance of automation in increasing productivity and delivering greater value in insurance functions. While AI reshapes daily tasks, it may also influence compensation trends, as noted in Economic Times. Overall, these insights suggest that embracing AI can foster resilience and adaptability in a dynamic job market for actuaries.
Actuarial automation: A strategic transformation guide
www.deloitte.com • 4/22/2026
Learn how actuarial automation, AI adoption, and offshoring strategies drive efficiency and transform insurance actuarial functions for greater value.
₹3-5 crore pay, but flat growth: AI is capping pay growth for Actuaries
bfsi.economictimes.indiatimes.com • 3/12/2026
Artificial intelligence is beginning to reshape the day-to-day work of insurance actuaries, but its impact on compensation remains limited...
Reshaping risk: how causal AI is shaking up risk modelling
www.theactuary.com • 3/10/2026
Causal AI could be about to turn risk modelling on its head, giving actuaries the power not just to anticipate the future but also to change...
The Bionic Actuary: how AI is reshaping insurance
www.wavestone.com • 10/29/2025
AI empowers actuaries to shift from manual tasks to strategic advisory roles, improving speed, accuracy, and insight.
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
$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
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.
