Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Insurance Underwriters:
42.3%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forInsurance Underwriters
$81,370 median salary•6,800 annual openings•SOC Code: 13-2053.00
Insurance Underwriters are somewhat less resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Insurance underwriting is labeled "Somewhat Resilient" because AI is already handling a big chunk of the routine work, like document review and risk scoring, which means the job is genuinely changing rather than staying the same. The good news is that human judgment on complex or unusual cases is still needed, and regulators in 19 states are actually requiring human oversight of AI decisions, which keeps people in the loop.
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Insurance underwriting is labeled "Somewhat Resilient" because AI is already handling a big chunk of the routine work, like document review and risk scoring, which means the job is genuinely changing rather than staying the same. The good news is that human judgment on complex or unusual cases is still needed, and regulators in 19 states are actually requiring human oversight of AI decisions, which keeps people in the loop.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Insurance Underwriters
Updated Quarterly
How is AI changing Insurance Underwriters jobs?
If you're eyeing a career as an insurance underwriter, here's the honest picture: AI is already deep inside this job, but it's showing up more as a co-pilot than a replacement. According to a recent Sixfold survey covered by Insurance Journal, every underwriting executive polled said AI has made their teams faster, better, or both, and 94% of underwriters agreed [1]. McKinsey describes an emerging "underwriting operating system" powered by agentic AI that can read submissions, reconcile evidence, retrieve precedents, and prepare recommendations end-to-end, while humans handle oversight and complex cases [2].
Regulators confirm this is widespread: an NAIC survey found 88% of auto insurers and 70% of home insurers use, plan to use, or are exploring AI/ML models, including for renewal evaluations and risk scoring [3]. Routine paperwork tasks like document review and risk scoring are being automated, while human judgment on tricky cases is being augmented.
Sources
How fast is AI adoption growing for Insurance Underwriters?
Adoption is moving fast because the payoff is huge — Deloitte predicts agentic AI could add $2 billion in annual life insurance premiums in the U.S. by 2030 [4]. But brakes exist: Deloitte also warns that AI in underwriting risks algorithmic bias, "black-box" opacity, and regulatory pushback [4], and 19 states have adopted the NAIC AI Model Bulletin requiring human oversight. The Bureau of Labor Statistics projects employment of insurance underwriters will decline 4% from 2025 to 2035, though about 6,800 openings will still open each year [5].
The good news for you: The Institutes launched an Associate in Insurance AI designation because professionals who can evaluate AI decisions ethically are in demand [6]. Critical thinking, judgment, and AI fluency are becoming the skills that keep underwriters valuable.
Sources
Will AI replace Insurance Underwriters?
Not entirely. We think AI will take over some tasks, but not the whole job.
Insurance underwriting already runs on AI, and that is not going to reverse. McKinsey describes an emerging AI-powered system that can read submissions, retrieve precedents, and prepare recommendations end-to-end [2]. Regulators back this up: 88% of auto insurers and 70% of home insurers are already using or exploring AI for risk scoring and renewal evaluations [3]. Routine document review and data processing are being automated quickly.
What stays human is the harder stuff: judgment calls on complex cases, ethical oversight, and accountability when an AI model gets it wrong. Deloitte flags real risks around algorithmic bias and "black-box" opacity that regulators are actively pushing back on [4], which means someone with critical thinking skills needs to stay in the loop. The Institutes even launched a dedicated AI designation for underwriters who can evaluate AI decisions responsibly [6].
The job market picture is honest but not alarming. Our 42.3% AI Resilience Score reflects real pressure, and the BLS does project a 4% employment decline through 2035 [5]. Still, roughly 6,800 openings are expected each year. Underwriters who build AI fluency alongside human judgment have a real path forward.
Sources
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Latest AI news for Insurance Underwriters
These articles highlight how AI is reshaping the role of insurance underwriters, offering exciting opportunities for those entering the field. For instance, generative AI is helping underwriters at Allianz make quicker, more informed decisions, while Munich Re emphasizes the need for underwriters to adapt to emerging AI-related risks in cyber insurance. Embracing AI tools not only enhances efficiency but also positions underwriters to stay competitive. Understanding these advancements fosters resilience in a career where adaptation to technology is key.
AI Talent Lab: Underwriters
www.bain.com • 3/26/2026
How generative AI is transforming the job of insurance underwriters and what companies can do to harness this moment.
TechTalk: The real AI threat to insurance jobs is doing nothing
www.insurancetimes.co.uk • 2/11/2026
'You aren't going to lose your job to AI, but you are at risk of losing your job to someone else who is using AI,' says chief solutions...
Navigating the Impact of AI in Insurance: Opportunities and Challenges
www.databricks.com • 11/28/2025
Discover how AI is revolutionizing insurance through automated underwriting, intelligent claims processing, advanced fraud detection,...
The new frontier of underwriting AI risk
www.munichre.com • 11/12/2025
In the cyber insurance space, underwriters are challenged with an ever-evolving new risk landscape of AI.
How AI is cracking complexity for underwriters
www.allianz.com • 2/11/2025
Generative AI tools are assisting Allianz underwriters to adapt to a complex landscape and make decisions faster and with greater...
More Career Info
Career: Insurance Underwriters
They decide if people can get insurance by reviewing applications and assessing risks to help the company avoid losing money.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$81,370
Jobs (2025)
125,600
Growth (2025-35)
-3.8%
Annual Openings
6,800
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Evaluate possibility of losses due to catastrophe or excessive insurance.
2
Authorize reinsurance of policy when risk is high.
3
Decline excessive risks.
4
Decrease value of policy when risk is substandard and specify applicable endorsements or apply rating to ensure safe, profitable distribution of risks, using reference materials.
5
Write to field representatives, medical personnel, or others to obtain further information, quote rates, or explain company underwriting policies.
6
Examine documents to determine degree of risk from factors such as applicant health, financial standing and value, and condition of property.
7
Review company records to determine amount of insurance in force on single risk or group of closely related risks.
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.
