# AI in Homeowners Insurance Pricing and the State Rate Review > How homeowners insurers use AI, aerial imagery, and catastrophe models to price property risk, and what state regulators now require for transparency. - Source: https://insureaiwire.com/ai-in-homeowners-insurance-pricing/ - Publication: InsureAI Wire - Author: Simon Li - Updated: 2026-09-04 --- A homeowner today can be re-priced, or non-renewed, on the strength of an aerial photograph taken months ago. For decades, rates were set by territory, construction type, age of home, and claims history. Underwriters might inspect a property every few years. Today, carriers can price a home by combining satellite imagery, roof-age models, wildfire exposure scores, and climate-adjusted [catastrophe models](/glossary/catastrophe-model/), sometimes without ever sending a person to the property. The process is faster and more granular. The homeowner sees less of how the number was reached, and meets a non-renewal or a steep increase more often at the end of it. The market pressure is real. Matic, a mortgage-channel insurance marketplace, reports that the average premium on a new policy it placed reached $1,952 in December 2025, up 8.5% year over year, a slowdown from the 18% jump it saw between 2023 and 2024 [^1]. A marketplace's own book is a narrow base for a national number, and this one runs in the same direction as everything else in the market. Matic also estimates that insurance now takes 9% of the typical homeowner's monthly mortgage payment, the highest share on record [^1]. It puts the drag on property values at roughly $20,500 since 2018 in the quarter of homes most exposed to hurricane and wildfire, and roughly $43,900 in the top 10%, attributing it to rising premiums and local risk factors together [^1]. AI is not the only cause of these trends, but it is the tool that makes them precise. ## What AI sees when it prices a home The inputs used in AI-driven homeowners pricing fall into four categories. **Aerial and satellite imagery** is the most visible. Vendors capture high-resolution images of nearly every property in the country and use computer vision to identify roof condition, roof age, tree overhang, yard debris, pool, trampoline, and other property features. In 2024, U.S. roof claims costs reached nearly $31 billion, up about 30% since 2022, which has made roof condition one of the most influential underwriting factors [^1]. **Catastrophe and climate risk models** estimate the probability of wildfire, hurricane, hail, and flood at the property level. These models are grounded in historical event data and climate science, but they are also updated frequently as losses change scientific understanding. A carrier that relied on a five-year-old wildfire model may now be exposed to risks it did not price for. The same models, used at treaty level, are discussed in [AI in reinsurance treaty pricing and catastrophe modeling](/ai-in-reinsurance-treaty-pricing/). **Property records and permit data** include square footage, construction type, year built, and renovation history. These have always been used, but AI can now combine them with imagery and claims data to produce more granular risk scores. **Third-party risk scores** combine multiple data sources into a single score that influences pricing, acceptance, or renewal. The score may be proprietary, and the carrier may not fully understand how it is built. That is where the governance problem begins. ## The pricing and coverage consequences Higher premiums, higher deductibles, and non-renewals are how that capability reaches a policyholder. Each one starts the same way, with a carrier identifying individual properties that no longer fit its risk appetite and moving them out of the book. Premium growth has been highest in catastrophe-prone states. One plaintiffs' firm asserts that thousands of California homeowners saw renewals rise 200% to 300% in a single year after AI-derived risk updates, with similar properties nearby sometimes escaping the same increases [^2]. The firm gives no underlying data and no year, and it is in the business of suing carriers. Read that range as a claim someone is making about the market. The selectivity is the point of granular risk scoring, but it is also what makes the process feel arbitrary to the consumer. Deductibles are rising as a separate affordability tool. The average home insurance deductible rose 22% in 2025, after a 15% increase in 2024 [^1]. A higher deductible lowers the premium but shifts more cost to the homeowner at the time of a claim. It is a way to keep the monthly payment manageable while reducing the carrier's exposure. Non-renewals are becoming more common in high-risk areas. A carrier may use aerial imagery to flag a roof, tree overhang, or yard debris as a reason not to renew. In some cases, the images have been outdated or inaccurate. The California Department of Insurance says it has investigated numerous complaints in which flawed aerial imagery led to wrongful cancellations or non-renewals, and the commissioner cited them in backing legislation that would give homeowners advance notice and access to the images used against them [^3]. ## The regulatory pushback State regulators are responding with two tools: transparency requirements and rate review scrutiny. California has been the loudest. In March 2025, Insurance Commissioner Ricardo Lara announced support for Assembly Bill 75, which would require insurers to notify homeowners at least 30 days before obtaining aerial images of their property and would give homeowners the right to request and obtain copies of those images [^3]. The bill was aimed at the core problem of AI-driven homeowners pricing: homeowners do not know what data is being used, whether it is accurate, or how to challenge it. It never got out of committee. AB 75 cleared two Senate policy committees in July 2025, was referred to the Senate Appropriations suspense file on August 18, and was held under submission there from August 29, 2025, with no action recorded after that date [^9]. August 31, 2026 was the last day for each house to pass bills, and the Legislature adjourned for the year without taking AB 75 off the suspense file [^11]. Plan around the states below. Other states got there first, and they are not doing the same thing. Colorado's Bulletin B-5.57 is the only one of them written for underwriting and rating generally, and it says aerial imagery should be no more than twelve months old; the same document states that Division bulletins establish no binding norms [^4]. Kentucky makes a 12-month date stamp one of three conditions for using an aerial image as a basis for cancellation, nonrenewal, or claim denial, in a bulletin whose first line says it is not legally binding on either the Department or the reader [^5]. Georgia put its version in statute: images supporting an adverse underwriting decision on owner-occupied residential property must have been taken within 12 months of that decision [^6]. Rhode Island's bulletin sets the line at less than 15 months [^7], and Louisiana and Indiana both allow 24, each written as a limit on cancellation and nonrenewal rather than on pricing [^8]. Colorado's broader automated decision-making framework also imposes disclosure and appeal requirements on insurance AI; see the analysis of [Colorado SB 26-189](/colorado-sb-26-189/). The age caps are narrower than California's notice-and-access proposal, but they address the same concern: a model is only as good as the data it uses, and stale or inaccurate imagery can lead to wrongful pricing or non-renewals. A carrier reading that list for compliance should note which lever each state pulled. A statute is enforceable on its own terms; a bulletin is a department telling you how it reads existing law, and two of these say so in the first paragraph. The bulletins still carry the department's stated position into a market conduct exam or a complaint file.
Bar chart: Colorado, Georgia, and Kentucky set the maximum age of aerial imagery at 12 months; Rhode Island at less than 15 months; Louisiana and Indiana at 24 months. CO (BULLETIN) / KY (BULLETIN) / GA (STATUTE) 12 MONTHS RI (BULLETIN) UNDER 15 MONTHS LA (STATUTE) / IN (STATUTE) 24 MONTHS
FIG. 1: HOW OLD AN AERIAL IMAGE A STATE WILL LET AN INSURER LEAN ONSOURCE: COLORADO DOI BULLETIN B-5.57; KENTUCKY DOI BULLETIN 2026-01; GEORGIA HB 1344; RHODE ISLAND DBR BULLETIN 2025-3; LA R.S. 22:1339; INDIANA HB 1260. ONLY COLORADO'S CAP IS WRITTEN FOR UNDERWRITING AND RATING GENERALLY; THE OTHER FIVE ATTACH TO CANCELLATION, NONRENEWAL, OR CLAIM DENIAL.
Rate review scrutiny is the broader regulatory lever. The NAIC notes that state insurance regulators oversee insurers' use of AI and may require companies to explain how these tools are used in underwriting, pricing, marketing, or claims decisions [^10]. In homeowners, that explanation increasingly becomes part of the rate filing. A state department of insurance can ask whether the aerial imagery, wildfire score, or catastrophe model output is actuarially justified, whether it is unfairly discriminatory, and whether it is based on accurate data. ## The governance challenge The evidence chain that matters here runs from the property observation to the underwriting or rating treatment. Preserve the image date and source, the derived condition or score, the relevant filed rule or underwriting guideline, the final action, and the inspection or correction path. That chain shows whether the dispute concerns stale imagery, a mistaken inference, or a business rule applied after the model. The company-wide system record belongs in the [AI inventory](/ai-inventory-by-line-of-business/). The [decision evidence pack](/insurance-ai-decision-evidence-pack/) can reconstruct one disputed property action. Homeowners teams add the property, image, filing, inspection, and nonrenewal details that those general tools do not own. ## One line's backlash, every line's data The aerial imagery, catastrophe models, and third-party scores priced into a homeowners policy do the same work in commercial property and reinsurance. What homeowners adds is a retail policyholder, someone who can complain to a regulator and vote for one. That is why the backlash concentrates here first, and why transparency rules written for this line tend to travel to the others. The rest of that map is in [AI use cases in insurance by business line](/ai-by-business-line/). [^1]: Matic, "2026 Home Insurance Predictions: A Turning Point for Premium Growth As Climate Risk and Technology Drive Change," 2026: https://matic.com/blog/2026-home-insurance-predictions/ [^2]: Storm Law Partners, "From Claims to Coverage: How AI Is Transforming Homeowners Insurance," 2026: https://stormlawpartners.com/research/from-claims-to-coverage-how-ai-is-transforming-homeowners-insurance/ [^3]: California Department of Insurance, "Commissioner Lara supports legislation to protect homeowners' privacy and increase transparency in insurers' use of aerial imagery," March 28, 2025: https://www.insurance.ca.gov/0400-news/0100-press-releases/2025/release029-2025.cfm [^4]: Colorado Division of Insurance, New Bulletin No. B-5.57, "Division Position Concerning Use of Aerial Imagery by Insurers in Decision Making": "For general underwriting and rating purposes, aerial imagery should be no more than twelve (12) months old unless more recent conditions warrant updated imagery." The same bulletin states that "Bulletins themselves establish neither binding norms nor finally determine issues or rights." https://doi.colorado.gov/sites/doi/files/documents/New%20Bulletin%205.57%20Aerial%20Imagery.pdf [^5]: Kentucky Department of Insurance, Bulletin 2026-01, "Use of Satellite/Aerial Imagery as Basis for Cancellations, Nonrenewals, and Claim Denials," March 11, 2026: aerial images may be a basis for such action only if they are sufficiently clear, are accompanied by a written summary of the noncompliant conditions, and "contain a date stamp showing they were taken within the last 12 months." The bulletin's first line: "The Bulletin is not legally binding on either the Department or the reader." https://insurance.ky.gov/ppc/Documents/Bulletin%202026-01.pdf [^6]: Georgia House Bill 1344 (2025-2026), adopted May 12, 2026: aerial and satellite images accompanying an adverse underwriting decision on owner-occupied residential property "shall have been taken within 12 months of the issuance of the adverse underwriting decision." https://www.legis.ga.gov/api/legislation/document/20252026/249047 [^7]: Rhode Island Department of Business Regulation, Insurance Bulletin 2025-3, "Aerial Imaging," August 18, 2025: "Images used to evaluate a property risk must provide a clear, accurate, and current (less than 15 months old) view of the property." https://dbr.ri.gov/sites/g/files/xkgbur696/files/2025-08/INS_Insurance%20Bulletin%202025-3%20Aerial%20Imaging.pdf [^8]: Louisiana R.S. 22:1339 (2024 Act 151, SB 242): an insurer "shall not solely rely upon aerial images" as the basis for cancellation or nonrenewal of a homeowner's policy "unless the images are taken within twenty-four months of the date of the cancellation or nonrenewal" (https://www.legis.la.gov/Legis/ViewDocument.aspx?d=1379425); Indiana House Enrolled Act 1260 (2026), Sec. 6.5(a)(1): where aerial images are the sole reason for nonrenewal, "Photos must have been taken within the past twenty-four (24) months" (https://iga.in.gov/pdf-documents/124/2026/house/bills/HB1260/HB1260.06.ENRS.pdf). [^9]: California Legislature, AB-75 "Residential property insurance images" (2025-2026), bill status: last amended July 1, 2025; referred to the Senate Appropriations suspense file August 18, 2025; "In committee: Held under submission" August 29, 2025, the last history action shown as of September 4, 2026. https://leginfo.legislature.ca.gov/faces/billStatusClient.xhtml?bill_id=202520260AB75 [^10]: NAIC, "Insurance Topics: Artificial Intelligence," updated April 2026: https://content.naic.org/insurance-topics/artificial-intelligence [^11]: California State Senate, "2026 Tentative Legislative Calendar" (revised September 29, 2025): "Aug. 31 Last day for each house to pass bills (Art. IV, Sec. 10(c))." https://www.senate.ca.gov/system/files/2025-10/2026-senate-legislative-deadlines.pdf