Will AI and Digital Health Monitoring Change Life Insurance Rates?
Talk to one of our experienced advisors today!
9 minute read
Originally published: March 11, 2025

Will AI and Digital Health Monitoring Change Life Insurance Rates?
Talk to one of our experienced advisors today!
9 Minute read
Originally published: March 11, 2025

Technology is transforming the way life insurance works, and AI (Artificial Intelligence) and digital health monitoring are leading the way. From faster approvals to personalized pricing, insurers are using data from wearable devices, electronic health records, and advanced algorithms to assess risk more accurately.
While these innovations could mean lower premiums for healthier individuals, they also raise concerns about privacy, fairness, and how personal data is used. In this blog, we’ll explore how AI and digital health tracking impact life insurance rates, what it means for applicants, and what to watch for in the future.
In this article:
- How Do Life Insurance Companies Use AI Today?
- How Can Wearable Devices and Digital Health Monitoring Affect Life Insurance?
- Will AI and Digital Health Make Life Insurance Cheaper?
- What Are the Privacy Risks of AI and Digital Health in Life Insurance?
- Frequently Asked Questions (FAQs) About How AI and Digital Health Monitoring Changes Life Insurance Rates
How Do Life Insurance Companies Use AI Today?
Artificial Intelligence (AI) is transforming the life insurance industry, making processes faster, smarter, and more personalized. Insurers are using AI-driven technology to improve risk assessment, fraud detection, and claims processing, leading to more efficient operations and potentially better pricing for policyholders. But with these advancements come important questions about data privacy and fairness.

AI in Risk Assessment & Underwriting
Traditionally, underwriting relied on medical exams, health questionnaires, and historical data to determine life insurance rates. Now, with AI-powered algorithms, they can analyze vast amounts of data, including medical records, prescription history, wearable device data, and even lifestyle factors. By detecting patterns and assessing risk faster, AI helps insurers offer coverage more quickly and with fewer medical requirements. This means some applicants may qualify for instant or simplified life insurance, skipping the long approval process.
AI in Fraud Detection
Fraudulent claims cost the insurance industry billions each year. AI helps life insurers spot inconsistencies and detect suspicious patterns in applications and claims. Advanced systems analyze applicant data in real time, flagging incomplete information, duplicate identities, or false medical records. By reducing fraud, AI helps keep insurance premiums more affordable for honest policyholders.
AI in Claims Processing
Filing a life insurance claim can be stressful for beneficiaries, but AI is improving speed and accuracy in claim approvals. Insurers now use automated systems to analyze claim submissions, verify documentation, and cross-check policyholder data. This reduces manual errors and speeds up the process, ensuring beneficiaries receive payouts faster. Some insurers even use chatbots and AI-driven customer service tools to guide families through the claims process, offering support when they need it most.
Does AI Create Fairer Life Insurance Pricing?
AI has the potential to make life insurance more personalized and accessible. By assessing individual risk more precisely, AI could lead to fairer pricing, where healthier lifestyles and lower-risk behaviors result in lower premiums. However, there are concerns about data privacy and bias. If AI systems rely on incomplete or biased data, some groups could face higher rates unfairly. Additionally, questions remain about how much personal data insurers should have access to and whether AI-driven decisions should be fully transparent.
How Can Wearable Devices and Digital Health Monitoring Affect Life Insurance?
Wearable devices like smartwatches, fitness trackers, and continuous glucose monitors are changing how we track health, and life insurance companies are taking notice. These devices provide real-time health data, giving insurers new ways to assess risk and personalize policies. While this can lead to discounted premiums for healthier individuals, it also raises important questions about privacy, fairness, and the future of health tracking in life insurance.
Fitness trackers and smartwatches monitor daily activity levels, heart rate, sleep patterns, and even oxygen levels. More advanced wearables, like continuous glucose monitors and ECG-enabled devices, track ongoing health conditions like diabetes and heart disease. By collecting this data, life insurers can get a more accurate picture of an individual’s overall health beyond traditional factors like age and medical history.
Some life insurance companies are now offering discounts or rewards to policyholders who share their fitness data. If your wearable device shows that you have an active lifestyle, good sleep habits, and a healthy heart rate, you may qualify for lower life insurance rates. This approach, often called behavior-based insurance, encourages healthier habits and allows policyholders to benefit from real-time health tracking.
Potential Concerns About Wearable Health Data
- Could Sharing Health Data Lead to Higher Rates?: While insurers may reward healthy behaviors, there’s concern that less active individuals could face higher premiums. If data shows someone has low activity levels or poor sleep patterns, could they be penalized with higher life insurance rates? The industry is still navigating how to balance risk-based pricing with fairness.
- Will Insurers Eventually Require Health Tracking?: Today, sharing wearable data is optional, but as technology advances, some worry that insurers might require health tracking to determine pricing. This raises ethical questions about privacy, consent, and the extent to which insurers should have access to personal health data.
Will AI and Digital Health Make Life Insurance Cheaper?
AI and digital health technology are transforming the way life insurance companies assess risk, making policies more personalized and potentially more affordable for healthier individuals. By analyzing real-time health data and streamlining underwriting, AI could help reduce premiums, eliminate unnecessary medical exams, and make life insurance more accessible. However, these advancements also raise concerns about how high-risk individuals may be affected by AI-driven pricing.
Traditionally, life insurance rates are based on broad categories like age, gender, and general health history. AI-powered personalized risk assessments take this a step further by using real-time health data, wearable fitness tracking, and lifestyle habits to determine risk more accurately. If an applicant leads a healthy lifestyle, exercises regularly, and has stable vital signs, AI can recognize these factors and offer lower premiums as a reward for good health.
One of the biggest advantages of AI in life insurance is its ability to speed up and simplify the underwriting process. In many cases, AI can assess risk using electronic health records, prescription history, and data from fitness wearables, eliminating the need for time-consuming medical exams and lab tests. This not only makes the application process faster but also lowers administrative costs for insurers, which could translate to cheaper policies for consumers.
While AI may help healthy individuals secure better rates, there is concern that those with chronic conditions or higher health risks could face increased pricing or difficulty getting coverage. If AI detects patterns indicating potential future health issues, insurers may charge higher premiums or classify applicants as high-risk, even if they haven’t been formally diagnosed with a condition. This raises ethical questions about how much personal health data should be used to determine life insurance costs and whether AI-based underwriting could unintentionally lead to discriminatory pricing.
What Are the Privacy Risks of AI and Digital Health in Life Insurance?
As AI and digital health tracking become more integrated into life insurance, questions about privacy, data control, and fairness are growing. While AI can make life insurance more personalized and efficient, it also raises concerns about who controls health data, how insurers use it, and whether it could lead to discrimination against high-risk individuals. In Canada, privacy laws regulate how insurers handle personal data, but the increasing role of AI still presents ethical challenges.
One of the biggest concerns with AI-driven life insurance is who owns and manages your health data. Many insurers collect information from electronic health records, prescription databases, and wearable devices to assess risk and price policies. While this data can improve accuracy and even lower premiums for some, it also means insurers have deep access to personal health details. The question remains: How much information should insurers be allowed to use, and should applicants have the right to limit access?
AI is designed to assess risk, but critics argue it could unintentionally discriminate against individuals with pre-existing conditions or genetic risks. If AI identifies someone as high-risk based on family history, prescription patterns, or wearable data, they could face higher premiums or policy denials, even if they are otherwise healthy. This raises concerns about fairness in underwriting and whether AI-driven risk assessments reinforce biases in the insurance industry.
How Canadian Regulations Protect Your Health Data
In Canada, privacy laws such as PIPEDA (Personal Information Protection and Electronic Documents Act) regulate how insurers handle personal data. Life insurance companies must obtain consent before collecting and using health information, and they are required to keep data secure. However, AI-driven underwriting is still evolving, and there is ongoing debate over whether current laws are strong enough to protect consumers from unfair data use.
AI and digital health technology bring new opportunities to enhance life insurance pricing and accessibility, but they also introduce risks related to data privacy and discrimination. As AI becomes more influential, the industry must balance innovation with ethical responsibility, ensuring that health data is used fairly and transparently. If you’re considering a life insurance policy that incorporates AI-driven assessments, working with a trusted life insurance broker can help you understand your options and protect your privacy.
Frequently Asked Questions (FAQs) About How AI and Digital Health Monitoring Changes Life Insurance Rates
Yes, AI speeds up underwriting by analyzing health data quickly, allowing some applicants to qualify for coverage without a medical exam.
No, sharing wearable data is usually optional, but some insurers offer discounts for policyholders who opt in and meet certain health metrics.
AI analyzes patterns in health data and could flag potential risks, which may lead to higher premiums for some individuals.
Not entirely, while AI enhances risk assessment, human underwriters still review complex cases and ensure fairness in decision-making.
Find a solution for what you’re looking for
AI and digital health monitoring are transforming life insurance, making policies more personalized and accessible, but balancing innovation with privacy and fairness will be key to ensuring a future where technology benefits everyone. At Protect Your Wealth, we work with and compare policies and quotes from the best life insurance companies in Canada to ensure the best solution for you and your needs. We provide expert life insurance solutions, including no medical life insurance, critical illness insurance, term life insurance, and permanent life insurance to build the best package to give you the protection you need.
Contact Protect Your Wealth or call us at 1-877-654-6119 to talk to an advisor today! We’re proudly based out of Hamilton, and service clients anywhere in Ontario, British Columbia, Alberta, and Manitoba including areas such as Kitchener, Victoria, Edmonton, and Winkler.
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