Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
They help people choose the right insurance plans by explaining options and answering questions to protect their health, property, or finances.
This role is changing fast
The career of an insurance sales agent is "Changing fast" because AI is quickly taking over routine tasks like processing applications, calculating premiums, and answering common customer questions. These changes help insurance companies save time and money.
Read full analysisLearn more about how you can thrive in your career
Learn more about how you can thrive in your career
This role is changing fast
The career of an insurance sales agent is "Changing fast" because AI is quickly taking over routine tasks like processing applications, calculating premiums, and answering common customer questions. These changes help insurance companies save time and money.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Insurance Sales Agents
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Insurance companies already use computers and AI for many routine sales tasks. For example, industry reports note insurers apply AI to “back-office” work like processing applications and policy renewals [1]. Software can auto-fill forms, update records, and even calculate premium quotes.
In one case, an agency built an AI assistant that compares entire 40-page policy documents in seconds – what used to take a human hours [2]. Some firms even have chatbots or voice bots that answer common customer questions or run quotes automatically. However, tasks that need a human touch—like meeting clients face-to-face, understanding their unique needs, or explaining complex coverage—are still done by people.
Experts point out that AI is great with facts and figures, but it can’t match a person’s judgement, trust-building, and social skills [1] [2]. In other words, machines handle data-heavy parts of the job, while agents keep doing the personal, creative parts.

AI in the real world
There are good reasons insurers are adopting AI quickly: it can save money and time. A Deloitte study found insurers facing rising costs and talent shortages, and 82% plan to use “agentic AI” within a few years [3]. Vendors report AI tools can more than double processing speed and cut costs by up to 70% on some workflows [4].
AI and RPA (robotic process automation) software are commercially available, so agencies can start small – for instance, automating renewals or data-entry tasks – with relatively low upfront cost.
But adoption also faces hurdles. Insurance is highly regulated, and even AI agents would likely need to meet state licensing rules [2]. Customers often expect personal advice, so agencies tend to use AI as a helper (a “co-pilot”) rather than a full replacement.
For example, one startup is creating an AI that can handle sales calls, but it admits it has to ensure those “AI agents” are properly licensed and supervised [2] [1]. In practice, many agencies are adding AI tools alongside their human agents. As one industry expert put it, AI will automate the routine crunch of numbers and paperwork first, but human skills like explaining coverage and building trust will remain essential [1] [3].

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Median Wage
$60,370
Jobs (2024)
568,800
Growth (2024-34)
+3.7%
Annual Openings
47,000
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Install bookkeeping systems and resolve system problems.
Inspect property, examining its general condition, type of construction, age, and other characteristics, to decide if it is a good insurance risk.
Attend meetings, seminars, and programs to learn about new products and services, learn new skills, and receive technical assistance in developing new accounts.
Seek out new clients and develop clientele by networking to find new customers and generate lists of prospective clients.
Interview prospective clients to obtain data about their financial resources and needs, the physical condition of the person or property to be insured, and to discuss any existing coverage.
Develop marketing strategies to compete with other individuals or companies who sell insurance.
Explain features, advantages, and disadvantages of various policies to promote sale of insurance plans.
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.

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