INDEX/JOBS/ACTUARY
BUSINESS & FINANCEMODERATE EXPOSUREREPORT ID #2857

Actuary.

Actuaries face high exposure in data processing and model building but retain strong value in regulatory judgment, model governance, and the communication of risk to non-technical stakeholders.

EXPOSURE
62%
↑ 2.1pp vs Q1
RESILIENCE
64
durable index
MEDIAN PAY
$118k
$78k – $184k
10Y GROWTH
+22%
Much faster than avg
020406080100
// EXPOSURE
0%
Actuarys
THE TASK-LEVEL VERDICT
DATA-ANALYSIS
FINANCIAL-MODELING
RESEARCH-SYNTHESIS
Where the score comes from

Time spent, weighted by AI capability.

Distribution by class
52%
14%
34%
AI-Substitutable
AI-Assisted
Human-Critical
Task breakdown
All 7 canonical tasks
Task Exposure ClassificationTime share
01Process and validate claims data
91%
AI-Substitutable16%
02Build actuarial models and simulations
86%
AI-Substitutable24%
03Write actuarial reports and memos
74%
AI-Substitutable12%
04Perform sensitivity and scenario analysis
68%
AI-Assisted14%
05Interpret and apply regulatory frameworks
32%
Human-Critical14%
06Advise on pricing and reserve strategy
22%
Human-Critical12%
07Communicate risk to boards and regulators
18%
Human-Critical8%
Task profile · radar
Where the work concentrates.
COGNITIVE94CREATIVE36MANUAL2SOCIAL54PROCEDURAL92JUDGEMENT84
Procedural and Cognitive tasks dominate this role — both highly model-addressable. Social and Judgement axes are smaller but more resilient.
Capability creep · 8 years
Exposure climbed 34pp since 2018.
'18'20'22'24'26
Editorial signals

What the data is telling us.

INSIGHT · 01
EXPOSURE SIGNAL
Actuarial model building and claims data processing are highly automatable. Python-based stochastic models now require days, not weeks, to build.
INSIGHT · 02
AUGMENTATION SIGNAL
Scenario analysis and reporting are AI-augmented — actuaries who supervise AI model outputs will outproduce those running calculations manually.
INSIGHT · 03
RESILIENCE SIGNAL
Regulatory judgment, pricing strategy, and board-level risk communication require credentialed expertise and accountability that models cannot assume.
Resilient adjacencies

Where actuarys move next.

Risk Manager
Moderate
54%
-8pp vs Actuary
Quantitative Analyst
High
72%
10pp vs Actuary
Insurance Underwriter
High
74%
12pp vs Actuary
Financial Analyst
High
76%
14pp vs Actuary
Data Scientist
Moderate
61%
-1pp vs Actuary
Community pulse
Has AI already changed your work?
12,408 actuarys responded in the last 30 days.
← Cast your vote to see the breakdown
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Made for LinkedIn-day-three conversations.

Preview
Actuary
62%
AI-Exposed
38% remain human-critical
TASKEXPOSED.COM/JOBS/ACTUARYRESEARCH BRIEF · MAY 2026
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FAQ

Common questions about Actuary AI exposure.

What is the AI exposure score for Actuarys?

Actuarys have an overall AI exposure score of 62%, meaning approximately 62% of their time-weighted tasks can be substantially assisted or substituted by current frontier AI models. This places the role in the "Moderate" exposure category.

Will AI replace Actuarys?

AI is unlikely to fully replace Actuarys in the near term. The 38% of tasks classified as Human-Critical — including Interpret and apply regulatory frameworks and Advise on pricing and reserve strategy — remain strongly human-dependent. AI is more likely to augment the role, raising productivity and shifting focus toward higher-judgment work.

What tasks are most exposed to AI for Actuarys?

The most AI-exposed tasks for Actuarys include: Build actuarial models and simulations, Process and validate claims data, Write actuarial reports and memos. These have exposure scores of 86%, 91%, 74% respectively.

What skills should Actuarys develop to stay resilient?

Actuarys should focus on developing skills in areas that AI struggles with: Interpret and apply regulatory frameworks, Advise on pricing and reserve strategy, Communicate risk to boards and regulators. Adjacent careers with lower exposure include Risk Manager and Quantitative Analyst.