Technology · SOC 15-2011
AI runs models faster, but regulators require licensed human sign-off on risk assumptions affecting millions of policyholders.
A large share of tasks is exposed; the role will change a lot.
Timeline: AI is already running thousands of actuarial scenarios faster than teams of analysts, but regulatory sign-off requirements and novel emerging risks (climate, cyber) sustain strong demand for licensed actuaries for 7-10 years.
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$84,000 median pay
$60,340 median pay
$108,970 median pay
$108,970 median pay
$132,000 median pay
$103,790 median pay
AI job-risk card
Actuaries is at risk on AIFear. A large share of tasks is exposed; the role will change a lot.
AIFear.com
Our AI Fear Score for Actuaries is 55/100 (At risk). A large share of tasks is exposed; the role will change a lot.
55 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Analyzing standard mortality and disability statistical datasets, Producing boilerplate actuarial reports and summaries, Running sensitivity analyses across defined parameter ranges, Providing routine investment risk exposure calculations. Harder to automate: Certifying reserve adequacy under legal liability, Advising clients on novel risk scenarios without precedent data, Interpreting model outputs for regulatory and board-level audiences.
Lean into Predictive modeling and machine learning, AI-assisted actuarial modeling, Regulatory and solvency frameworks, Communicating risk to non-technical audiences, Climate and emerging risk assessment. Consider roles such as Chief Actuary or Enterprise Risk Manager or Catastrophe Risk Modeler.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.