AI Automation Index

Will AI Replace Actuaries?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Actuaries. Run the upskilling simulator.

E-E-A-T Verified
• Developed & audited by Gini Loh

AI Vulnerability

30% risk score

Median Salary

$130,000 / year

Growth Demand

Medium

Constituent Task Mix

We parsed O*NET's 15 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 0%
Medium Automation Risk (Cognitive/Technical) 60%
Low Automation Risk (Strategy/Leadership) 40%

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constituent Tasks

Ascertain premium rates required and cash reserves and liabilities necessary to ensure payment of future benefits.

Semi-structured task combining routine and non-routine responsibilities.

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.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Analyze statistical information to estimate mortality, accident, sickness, disability, and retirement rates.

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Design, review, and help administer insurance, annuity and pension plans, determining financial soundness and calculating premiums.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

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

Semi-structured task combining routine and non-routine responsibilities.

Construct probability tables for events such as fires, natural disasters, and unemployment, based on analysis of statistical data and other pertinent information.

Semi-structured task combining routine and non-routine responsibilities.

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

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Determine equitable basis for distributing surplus earnings under participating insurance and annuity contracts in mutual companies.

Semi-structured task combining routine and non-routine responsibilities.

Negotiate terms and conditions of reinsurance with other companies.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Provide expertise to help financial institutions manage risks and maximize returns associated with investment products or credit offerings.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Testify before public agencies on proposed legislation affecting businesses.

Semi-structured task combining routine and non-routine responsibilities.

Determine policy contract provisions for each type of insurance.

Semi-structured task combining routine and non-routine responsibilities.

Testify in court as expert witness or to provide legal evidence on matters such as the value of potential lifetime earnings of a person disabled or killed in an accident.

Semi-structured task combining routine and non-routine responsibilities.

Explain changes in contract provisions to customers.

Semi-structured task combining routine and non-routine responsibilities.

Manage credit and help price corporate security offerings.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

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O*NET Methodology

O*NET Data Source

This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.

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