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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Mostly Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
52.3%
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
Actuaries are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
The career of actuaries is labeled as "Mostly Resilient" because while AI can handle repetitive tasks like data analysis and report writing, key aspects of the job still rely heavily on human judgment, creativity, and ethics. Designing insurance policies, advising clients, and interpreting complex regulations require skills that AI cannot replicate.
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The career of actuaries is labeled as "Mostly Resilient" because while AI can handle repetitive tasks like data analysis and report writing, key aspects of the job still rely heavily on human judgment, creativity, and ethics. Designing insurance policies, advising clients, and interpreting complex regulations require skills that AI cannot replicate.
Read full analysisAnalysis of Current AI Resilience
Actuaries
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Actuaries jobs?
Actuarial work already uses a lot of data and math, so some tasks are being aided by software and AI. For example, large insurance companies use advanced models and even robotic “bots” to crunch numbers, build probability tables, and run routine calculations. These tools can handle repetitive tasks (like gathering data or generating charts) so human actuaries have more time for analysis [1] [2].
Generative AI (like ChatGPT) can help write clear reports or explain complex math in simple language [2].
However, many core tasks still need human judgment. Designing new policies, setting fair contract terms, advising clients, or testifying to regulators involve creativity, ethics, and detailed knowledge of laws. Actuaries interviewed by experts have said that AI is viewed as a useful tool – not a replacement – and will let them do more valuable work [1] [3].
In short, computers can augment tasks like data analysis or report writing, but human skills (like critical thinking, empathy, and oversight) remain crucial.
Sources
How fast is AI adoption growing for Actuaries?
Insurers see big benefits in AI but adopt it carefully. Many firms plan big investments in AI – a recent survey found about 91% will use AI in pricing or risk models within a few years [3]. AI can make pricing faster and more accurate, which is important since actuaries are highly trained and in demand (the U.S. Bureau of Labor Statistics projects 22% job growth for actuaries) [4].
This means companies want tools to help scarce talent.
On the other hand, building AI systems is expensive and slow. Insurance is tightly regulated, so new AI models must be safe, fair, and checked by humans. Actuaries themselves are experts in checking data and managing risk, and they generally expect to keep guiding decisions [1] [3].
In many cases, businesses start with AI as a helper: for example, letting bots do routine data work or using AI to spot trends. Trust and ethical rules mean that final choices (like advice to customers) stay with people.
Overall, AI is rolling out as a complementary tool for actuaries: it speeds up number-crunching and report-writing, but there is still plenty of space for human insight and communication [2] [3]. Actuaries may feel worried today, but experts say the technology will likely boost their role and let them focus on the most important parts of the job.
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.
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.
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