Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They analyze data and use math to predict financial risks, helping companies plan for the future and make smart decisions about money.
This role is evolving
The career of an actuary is considered "Evolving" because AI is increasingly being used to handle repetitive tasks like data analysis and report writing. However, human judgment is still crucial for designing policies, advising clients, and ensuring ethical standards.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
The career of an actuary is considered "Evolving" because AI is increasingly being used to handle repetitive tasks like data analysis and report writing. However, human judgment is still crucial for designing policies, advising clients, and ensuring ethical standards.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Actuaries
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
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.

AI in the real world
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.

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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
AI-generated estimates of task resilience over the next 3 years
Testify before public agencies on proposed legislation affecting businesses.
Construct probability tables for events such as fires, natural disasters, and unemployment, based on analysis of statistical data and other pertinent information.
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.
Explain changes in contract provisions to customers.
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.
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.
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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