What is AI underwriting in home insurance?
AI underwriting in home insurance uses machine learning to evaluate risk when writing or renewing a policy, determining coverage options and premiums.
About 70% of home insurers use AI to assess a home's risk, according to the National Association of Insurance Commissioners (NAIC). The technology analyzes factors like roof condition, proximity to wildfire-prone areas, overhanging trees, features like pools and trampolines, and neighborhood claims history to estimate the likelihood of a future claim.
How does AI affect home insurance rates?
AI affects home insurance rates by using satellites and drones to create catastrophe models, analyzing claims history, and reducing the need for human review.
- AI uses satellite imagery and drones to perform remote property inspections and identify property risks. Well-maintained homes may qualify for lower rates, while signs of damage or increased risk can lead to higher premiums or a request for repairs. However, images can be outdated and may not show newer improvements.
- AI catastrophe modeling can lead to higher rates for homes in areas likely to be affected by severe weather. Homes with greater projected losses are more likely to have higher premiums or limited coverage options. Risks may differ since modeling is based on forecasts and historical data.
- AI creates risk scoring based on claims history and construction data. Information like your home’s age, construction materials, prior claims, and area claims is used to determine the likelihood of future claims. Homes with lower predicted risk receive better rates, while homes with higher risk scores typically cost more to insure. The accuracy of the score depends on the quality of the data used.
- AI can affect whether your policy is renewed by identifying changes that put your home at risk. Insurers use AI to analyze renewals and look for new property hazards, recent claims, and updated catastrophe risks. If AI flags a concern, your premium could increase, your coverage could change, or the insurer may require repairs before renewing the policy.
What data does AI use to set your home insurance rate?
Roof condition, location, climate risk, and your home's features are the primary inputs AI systems use to estimate your home's risk and help determine your insurance premium.
| Category | What AI evaluates | Potential rate impact | Disputable? |
|---|---|---|---|
| Roof condition | Age, wear, missing shingles, and storm damage | Damaged or old roofs may increase rates or require repair before renewal, while new roofs may lower rates. | Yes, with a roof inspection or proof of replacement or repair |
| Location and climate exposure | Risk of severe weather, like floods, wildfires, and hurricanes, based on your parcel | Homes with greater risk pay higher premiums even without a claim. | No |
| Property features | Pools, trampolines, overhanging trees, detached structures, and other features | Features that increase liability or that can cause damage increase rates. | Yes, with documentation of proper fencing, tree trimming or other risk-reducing efforts |
| Claims history at the address | Previous claims filed on the property | Frequent or large claims increase rates and can affect coverage availability | No, unless you can prove there is an error on the claims record |
| Neighborhood data | Local claims, crime rates, and severe weather | Areas with frequent claims have higher insurance rates, even if you don’t file a claim | No |
Which states have the strongest AI underwriting regulations?
Colorado, California, and New York have AI underwriting regulations that give homeowners the right to request a human review or understand how AI was used in their underwriting. While most states don’t have AI regulations, the NAIC AI Systems Evaluation Tool provides insurers with guidelines for using AI.
| State | Regulation | What it requires | What it means for homeowners |
|---|---|---|---|
| Colorado | SB 26‑189 | Insurers tell policyholders how and when AI is being used | Allows policyholders to request a human review |
| California | Unfair Insurance Practices Act | Consumers have the right to know what influenced their insurance pricing | Insurers must disclose AI usage upon request. |
| New York | NY DFS Guidance | Requires disclosure of AI systems and external consumer data used in underwriting | Limits the use of undisclosed third-party data in pricing decisions |
| All states (pending) | NAIC AI Systems Evaluation Tool | Piloted in 12 states in March 2026; national rollout expected in November 2026 | Requires insurers to prove AI is not using biased data; creates the right to human review upon request |
Can AI raise your home insurance rates without you knowing?
Yes, AI can raise home insurance rates at renewal by analyzing satellite or drone imagery and assessing risk based on your location without an on-site inspection. Homeowners in Texas, California, Pennsylvania, and Florida have reported that insurers either are not renewing policies or require maintenance to avoid losing coverage. However, there are very few laws regarding the use of AI in underwriting.
Risks to the homeowner of AI use for rates and renewals include:
- Outdated aerial imagery triggering underwriting actions. Homeowners have reported receiving nonrenewal or maintenance demands from their insurers based on outdated photos that did not reflect recent improvements, such as roof replacements or tree trimming.
- AI usage is linked to nonrenewals in several states. NPR reported that insurers in these states use satellite or drone imagery and AI analysis to determine whether to renew or cancel homeowner policies.
- Most states do not require insurers to notify homeowners when AI contributes to an underwriting decision. While the NAIC AI Systems Evaluation Tool encourages insurers to use AI responsibly, few states require insurers to notify policyholders when AI makes underwriting decisions.
- Past claims filed on the property can affect future homeowners. Insurers review a home’s claim history to determine the likelihood of future claims, even under a different homeowner.
- Neighborhood and ZIP code risk data affect home insurance. AI examines location-based data with property characteristics to estimate risks, such as wildfires, hurricanes, or property crimes.
Average home insurance rates in high-risk states for AI pricing
The states below face a high risk of AI-driven pricing due to severe weather and other natural disasters. Florida and Colorado have seen the biggest rate increases between 2025 and 2026 at $543 and $548, respectively. Rate data does not reflect the specific impact of AI use; multiple factors affect rate changes.
| State | Average annual premium 2025 | Average annual premium 2026 | Year- Over- Year Change | Primary driver |
|---|---|---|---|---|
| Florida | $7,928 | $8,471 | +$543 | Hurricanes and litigation |
| California | $1,616 | $1,653 | +$37 | Wildfire modeling |
| Colorado | $4,963 | $5,511 | +$548 | Hail and convective storms, wildfires |
| Louisiana | $4,976 | $5,185 | +$209 | Hurricanes and litigation |
| Texas | $4,217 | $4,582 | +$365 | Hurricanes, hail and windstorms |
Does AI make home insurance cheaper for any homeowners?
Yes, homeowners with new roofs, smart home devices, or system upgrades may see lower AI-driven home insurance rates since these features reduce the risk of future claims and improve the home’s risk profile.
- New roofs. AI examines aerial imagery to identify roof condition and age, with newer roofs receiving lower rates.
- Smart home devices. Many insurers offer discounts for smart home devices, such as smoke detectors, water leak detectors, and security systems, since they lower the risk of severe claims.
- Location. AI can identify homes in specific areas with a lower risk of hurricanes, wildfires, and other severe weather, even if the larger area is higher-risk, and monitor decreases in risk, resulting in lower rates.
- System upgrades. Electrical or plumbing upgrades lower the risk of fire and water damage. AI can verify upgrades through permits or inspections, thereby lowering the home’s risk assessment and premiums.
How to protect your home insurance rate from AI-driven increases
Protect your home from AI-driven rate increases by comparing quotes before renewal and requesting a human review if AI flags your property. Request a formal letter with the reasons for the increase and how that data was gathered, and be prepared to dispute anything that’s incorrect with documentation.
- Compare quotes before renewal. Insurers use different models to evaluate homes, and the property can receive significantly different risk assessments and rates, making it important to compare quotes from multiple insurers.
- Request human review if AI flags your property. An insurer may use outdated imagery or property information to flag your property. Ask for a human underwriter to review your file and provide any updated information, like photos, contractor invoices, or inspection reports. Colorado SB 26‑189 is an example of legislation that allows policyholders to request a human review.
- Document recent property upgrades with dated evidence. Save dated photos, permits, and receipts for upgrades, such as new electrical or plumbing, wildfire mitigation, and roof replacements, to ensure your home’s current condition is documented for future renewals.
- Ask your insurer which data sources were used. Your insurer uses information, like aerial imagery, public records, and the property’s claims history, to choose whether to renew your policy and change your rates, and this information may be outdated or incorrect.
- Install carrier-recognized smart home devices. Many insurers offer discounts for smart devices such as water leak detectors and security systems, which reduce the likelihood of costly future claims.
What happens to your home insurance if AI flags your property
If AI flags your property, your homeowners insurance may not be renewed, or your premium may increase. If this happens, request a copy of the data, check whether imagery and property documentation are current, and request a human review.
- You may be asked to make repairs. Your insurer may request that noted risks be addressed within a specified time period before the policy can renew. For example, imagery may show a damaged roof that needs repair or overhanging trees that need trimming.
- Your rates may increase. If your property’s risk assessment has changed, your insurer can raise your premium to compensate. For example, if crime has increased in your neighborhood or severe weather has become more frequent, your premium may increase to cover those new risks.
- Your policy may not be renewed. Your insurer may decide that your home is too risky to insure and not renew your policy. If this happens, shop around for a new carrier and compare multiple quotes to find the best insurer for you.
Glossary: Key AI home insurance terms
- AI underwriting: The use of artificial intelligence technology to analyze property information and evaluate the risk of providing coverage. Insurers may use AI to review home data and determine eligibility, pricing, and coverage.
- Catastrophe modeling: A process insurers use to estimate the potential cost of claims from major disasters, like hurricanes, wildfires, and floods. These models help insurers decide the risk a property may face from natural disasters and influence rates and coverage availability.
- Aerial imagery underwriting: The use of photos from satellites, aircraft, or drones to evaluate the condition and risk factors of a property. Insurers may use the photos to identify features, such as roof condition, overhanging trees, and other property hazards.
- Risk score: A rating that estimates how likely a home is to experience a claim based on property and location information. Insurers use risk scores to determine premiums, coverage availability, and whether a policy review is necessary.
- NAIC AI Systems Evaluation Tool: Helps insurance regulators evaluate how insurers use AI. It focuses on whether insurers have the controls, oversight, and processes in place to manage AI-related risks.
- Excess and Surplus (E&S) market: Provides insurance for homes that standard insurers may not be willing to cover. E&S insurers handle properties with higher risk, unusual situations, or limited coverage opinions.
Methodology
Insurance.com commissioned average homeowners insurance rates in all 50 states and Washington, D.C., through Quadrant Information Services. National and state home insurance averages are based on the following parameters:
- $300,000 in dwelling coverage
- $300,000 in liability coverage
- A $1,000 deductible
- A 2% hurricane deductible in applicable states
- Good credit
Learn more about our data and methodology.
Sources
- National Association of Insurance Commissioners. “Artificial Intelligence and Insurance Regulations.” Accessed August 2026
- Consumer Financial Services Law Monitor. “Colorado Rewrites Its AI Law.” Accessed August 2026
FAQs
Is AI raising home insurance rates?
Yes, AI has increased home insurance rates in areas and for homes where it identifies risks, like a damaged roof. However, some homeowners see lower rates if AI identifies factors that make their home less risky, such as a new roof.
How do insurance companies use AI to set home insurance rates?
Insurers use AI to analyze roof condition, property features, catastrophe risk, claims history, neighborhood data, and other data to estimate the likelihood of future claims. Satellite and drone imagery help evaluate roof condition, visible hazards, overhanging trees, and features like pools and trampolines. Historical claims and neighborhood data, along with catastrophe models, help predict future losses.
Can I dispute an AI-based increase or nonrenewal in my home insurance rate?
Yes, you can dispute a home insurance rate increase or nonrenewal if you believe your insurer used outdated or incorrect information. You can ask for a review and provide updated documentation. If that does not end the dispute, you can file a complaint with your state insurance department.
Does AI make home insurance more expensive or less expensive?
AI makes home insurance more expensive by identifying risks that may lead to future claims. However, it can also lower rates for homes with less risk, such as with new roofs or smart home devices.
What data does AI use to set home insurance rates?
AI uses roof age and condition, property features, claims history, catastrophe risk, inspection reports, and neighborhood claims frequency to evaluate a home’s risk level. The information insurers disclose about their underwriting models varies by company and state.
Which states regulate AI in home insurance?
Colorado has the most comprehensive AI requirements affecting insurers, and New York and California have regulations on the use and disclosure of AI in insurance. The NAIC AI Systems Evaluation Tool helps state insurance regulators oversee the use of AI, but it is not the law.
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