Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

47.5%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

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

Actuaries

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.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

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 analysis

Contributing 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

Learn about this score
Changing fast iconChanging fast

19.9%

19.9%

Microsoft's Working with AI

AI Applicability

Learn about this score
Evolving iconEvolving

47.6%

47.6%

Anthropic's Observed Exposure

AI Resilience

Learn about this score
Stable iconStable

70.0%

70.0%

Will Robots Take My Job

Automation Resilience

Learn about this score
Evolving iconEvolving

39.0%

39.0%

Althoff & Reichardt

Economic Growth

Learn about this score
Evolving iconEvolving

61.1%

61.1%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

21.8%

Growth Percentile:

99.0%

Annual Openings:

2,400

Annual Openings Pct:

24.6%

Analysis of Current AI Resilience

Actuaries

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

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.

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AI Adoption

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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More Career Info

Career: Actuaries

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

90% ResilienceCore Task

Testify before public agencies on proposed legislation affecting businesses.

2

90% 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

85% ResilienceCore Task

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

4

80% ResilienceCore Task

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

5

80% ResilienceSupplemental

Explain changes in contract provisions to customers.

6

75% 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.

7

70% 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.

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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