Will AI replace Actuaries?

Many of your tasks are within reach of AI. The role will change, so it pays to act now.

Task exposure to today's AI

53/100

High exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Actuaries?

Not entirely. Today's AI tools can take on about 53% of the typical work in this occupation, mostly: analyze statistical information to estimate mortality, accident, sickness, disability, and retirement rates. The parts that stay human include: Ascertain premium rates required and cash reserves and liabilities necessary to ensure payment of future benefits.; 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.; Design, review, and help administer insurance, annuity and pension plans, determining financial soundness and calculating premiums..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable

Analyze statistical information to estimate mortality, accident, sickness, disability, and retirement rates. 70%

Determine, or help determine, company policy, and explain complex technical matters to company executives, government officials, shareholders, policyholders, or the public. 55%

Provide advice to clients on a contract basis, working as a consultant.AI already used 55%

Ascertain premium rates required and cash reserves and liabilities necessary to ensure payment of future benefits. 53%

Design, review, and help administer insurance, annuity and pension plans, determining financial soundness and calculating premiums. 47%

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. 38%

+ 9 more tasks (14% of the week) in the full test.

Your human edge

Ascertain premium rates required and cash reserves and liabilities necessary to ensure payment of future benefits.
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.
Design, review, and help administer insurance, annuity and pension plans, determining financial soundness and calculating premiums.

AI tools to try

Coding assistants (GitHub Copilot, Claude Code, Cursor)ChatGPT / Claude for design and debuggingAI test and documentation generators

Related roles

A 3-phase AI learning plan

Phase 1

Pair programming with AI

Use a coding assistant for boilerplate, tests and refactoring.
Give it context: project rules, examples, small steps.
Review AI code like a colleague's pull request.

Project

Use a coding assistant to refactor one legacy reserving or mortality-table script into tested functions, adding 20+ unit tests, and compare runtime and reserve output before and after.

Phase 2

AI in your systems

Call an LLM API with structured output.
Retrieval over your own documents or data.
Evaluate quality, cost and latency before shipping.

Project

Build a retrieval tool over your policy wordings and pricing manuals that answers rating-basis questions in structured JSON, then measure accuracy, cost and latency on 30 test questions.

Phase 3

Production-grade AI

Evals and regression tests for prompts.
Security: prompt injection, data leaks, permissions.
Monitoring and cost control.

Project

Add an eval suite, prompt-injection and data-leak checks, and a token-cost dashboard to your reserving assistant, running regression tests on 50 prompts before each release.

Take the free 11-question test