Will AI Raise Your Insurance Premiums or Deny Your Claims? Your Consumer Protection Guide

Will AI Raise Your Insurance Premiums or Deny Your Claims? Your 2026 Consumer Protection Guide

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Key Takeaways

• The NAIC launched a 12-state AI evaluation pilot in March 2026, with a nationwide rollout expected by November 2026.
• Cigna's AI algorithm denied 300,000 claims in two months at 1.2 seconds per review — yet 90% of appealed decisions were reversed, suggesting a near-universal error rate on reviewed cases.
• Only 23 states plus Washington D.C. have adopted AI underwriting regulations; 22 states still have no rules protecting consumers from automated decisions.
• California's SB 1120 (effective January 2025) requires a licensed physician to sign off on any AI-driven health insurance denial — but it only protects Californians.

What Happened

Artificial intelligence has quietly moved into nearly every corner of the insurance industry — from deciding whether to approve your health claim to setting your car insurance rate. Now regulators are racing to catch up before more consumers get hurt.

In March 2026, the National Association of Insurance Commissioners (NAIC — the organization that coordinates insurance regulation across all 50 states) launched a formal AI Systems Evaluation Tool pilot program across 12 states: California, Colorado, Connecticut, Florida, Iowa, Louisiana, Maryland, Pennsylvania, Rhode Island, Vermont, Virginia, and Wisconsin. A nationwide rollout is expected by November 2026. The goal is to make insurers prove their AI tools are fair, transparent, and not secretly working against the people they cover.

The pilot examines four key areas. Exhibit A asks how much insurers actually rely on AI. Exhibit B reviews governance and risk controls. Exhibit C digs into high-risk AI systems. Exhibit D scrutinizes data sources — particularly whether companies are using proxies for race, ethnicity, social media activity, or aerial imagery to set rates or deny claims.

As of April 1, 2026, the NAIC's AI Model Bulletin — a set of voluntary guidelines for responsible AI use — had been adopted by 23 states plus Washington D.C. But 22 states have still refused to adopt any AI underwriting regulations at all. At least 17 states introduced AI-specific insurance bills in 2025 alone, signaling that momentum is building fast even where laws haven't yet landed.

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Why It Matters for Your Coverage

That rapidly expanding legislative activity has real stakes for your wallet and your health — because the problems AI is creating for policyholders are already well-documented and growing.

Think of AI in insurance like an extremely fast, extremely confident employee who has never actually met you. It reviews your claim or sets your policy coverage in seconds, working from patterns in data rather than any understanding of your individual situation. When that system makes a mistake, the financial and medical consequences can be severe.

Consider the numbers. In 2025, 41% of healthcare providers reported that more than 10% of their claims were denied — a sharp jump from 30% in 2022 and 38% in 2024. Nearly 20% of claims filed by Americans on Affordable Care Act (ACA) plans were denied in recent years. In 2023 alone, approximately 73 million in-network claims were denied. In-network means your doctor or hospital had already agreed to your insurer's rates — and you were still turned away.

The most striking example of AI-driven claims management gone wrong involves Cigna. The company's AI algorithm reportedly denied 300,000 claims in just two months, spending an average of 1.2 seconds on each review. When policyholders appealed those denials, 90% of the reviewed decisions were reversed — suggesting that nine in ten automated denials may have been errors. A federal class action lawsuit filed in Minnesota against UnitedHealthcare made similar allegations, claiming the company deployed an AI model with a 90% error rate in claim denials. These are not edge cases. These are systemic patterns tied directly to automated decision-making with little human oversight.

This is why the regulatory push matters for your insurance comparison process. If you are shopping across providers, you deserve to know whether a company uses AI to process claims and whether that AI has been independently audited. The answer can be the difference between a smoothly paid claim and a months-long appeals battle.

On the premium side, AI is increasingly used for risk assessment — the process insurers use to decide how much to charge you. If an algorithm determines that your neighborhood, credit score, or social media behavior makes you a statistically higher risk, your rate goes up, often with no explanation you can meaningfully challenge. The NAIC pilot specifically targets this concern by scrutinizing data sources that could encode racial or socioeconomic bias. Protecting consumers here is also about protecting real insurance savings — because unfair risk scoring means some people pay significantly more than they should.

California moved ahead of the national curve. Its SB 1120, which took effect in January 2025, prohibits health insurers from denying coverage based solely on automated AI tools without a licensed human physician reviewing and deciding on medical necessity. That is a meaningful protection for policy coverage — but it only applies if you live in California.

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The AI Angle

The scale of AI adoption makes clear why these protections cannot wait. Today, 71% of health insurers report using AI for utilization management — industry jargon for the prior authorization (getting advance approval before a procedure) and concurrent authorization (approval while you are already receiving care) processes that determine whether your treatment gets covered. Meanwhile, 92% of auto insurers report current or planned AI usage across their operations.

Insurtechs like Lemonade deploy AI for instant claims adjudication (automated claim decisions), while traditional carriers use machine learning models for fraud detection and risk assessment scoring. NAIC President Scott White framed the regulatory challenge plainly: officials 'don't want to stand in the way of innovation that generally serves consumers' but want AI used 'transparently, fairly and in ways that hold up to scrutiny.' Not everyone in the industry agrees. A joint letter from major trade groups representing life, health, P&C, mutual, and reinsurance insurers warned that 'the industry remains significantly concerned about the lack of detail and guidance around the proposed pilot' — a signal that many carriers are not eager to open their AI systems to outside review. Consumer acceptance, however, is growing fast: acceptance of AI in property and casualty insurance nearly doubled, rising from 20% in 2025 to 39% in 2026, which means AI's role will only expand regardless of industry pushback.

What Should You Do? 3 Action Steps

1. Check Your State's AI Protections Before You Sign Any Policy

Before finalizing any policy coverage decision, check whether your state has adopted the NAIC AI Model Bulletin or has passed its own AI insurance law. If you are in one of the 12 NAIC pilot states — California, Colorado, Connecticut, Florida, Iowa, Louisiana, Maryland, Pennsylvania, Rhode Island, Vermont, Virginia, or Wisconsin — you have more regulatory eyes on your insurer than consumers in unregulated states. Visit your state insurance department's website and search for 'AI insurance regulations' or 'automated decision-making.' A licensed independent insurance agent can also walk you through what protections apply to you personally. Always consult a licensed agent before making coverage decisions.

2. Appeal Every Denial — In Writing and On the Record

If your claim is denied, do not accept the first answer. The Cigna data alone — where 90% of appealed AI-driven denials were reversed — shows that automated decisions in claims management have a startlingly high error rate. Request the specific reason for denial in writing, then file a formal internal appeal. If that fails, escalate to an external appeal through your state's department of insurance. Keep records of every communication: dates, representative names, reference numbers, and copies of all correspondence. Effective claims management on your end means treating every denial as the beginning of a process, not the end of one.

3. Ask Your Insurer Directly How AI Affects Your Rates and Claims

You have the right to ask how your insurer uses AI in underwriting (the process of deciding whether to cover you and at what price) and in claims processing. Specific questions worth asking: 'Is AI used to make or influence claim denial decisions?' and 'How are those AI decisions reviewed by a human?' If your insurer can't or won't answer clearly, that's valuable data for your next insurance comparison. A licensed independent agent can help you identify carriers with stronger human oversight — and often uncover genuine insurance savings by matching you to a company whose risk assessment model is a better fit for your actual profile. This article provides general information only; please consult a licensed agent for guidance tailored to your needs.

Frequently Asked Questions

Can an AI algorithm legally deny my health insurance claim without a human reviewing it in 2026?

It depends entirely on where you live. In California, SB 1120 (effective January 2025) requires that a licensed human physician review and decide on medical necessity before any health insurance denial can be finalized — AI alone cannot be the final word on your policy coverage. However, 22 states still have no AI underwriting regulations, meaning fully automated denials may face fewer legal challenges in those states. The NAIC's 12-state pilot, launched in March 2026 with a nationwide rollout expected by November 2026, is designed to build a national accountability framework. If you are unsure of your rights, contact your state's department of insurance or a licensed agent.

How does AI-based risk assessment affect my car or home insurance premium in 2026?

AI risk assessment models analyze vast datasets — including credit scores, claims history, location, aerial imagery, and sometimes social media activity — to calculate your premium. If the model flags you as higher risk based on these inputs, your rate increases, often with limited explanation. The NAIC pilot specifically scrutinizes data sources that could serve as illegal proxies for race or ethnicity. With 92% of auto insurers currently using or planning AI, this issue affects most drivers directly. Conducting a thorough insurance comparison across multiple carriers can reveal significant premium differences, since each company's AI model may evaluate your profile very differently.

What should I do if my insurance claim is denied by an AI system and I think the decision is wrong?

Appeal immediately and document everything in writing. The evidence from Cigna's AI-driven claims management system — where 90% of appealed denials were overturned — demonstrates that automated decisions carry a high margin of error. Start with a formal internal appeal to your insurer, demanding the written reason for denial. If that fails, file an external appeal with your state's department of insurance. In states that have adopted the NAIC AI Model Bulletin, regulators have broader tools to intervene. Your policy coverage rights do not disappear because a machine said no. If the denial involves a significant dollar amount or a medical necessity decision, consider consulting an attorney who specializes in insurance disputes alongside your licensed agent.

Which states have the strongest AI insurance consumer protection laws going into 2026?

California leads the pack with SB 1120, which prohibits AI-only health claim denials and has been in effect since January 2025. As of April 1, 2026, 23 states plus Washington D.C. have adopted the NAIC AI Model Bulletin. The 12 states participating in the NAIC's March 2026 AI pilot — California, Colorado, Connecticut, Florida, Iowa, Louisiana, Maryland, Pennsylvania, Rhode Island, Vermont, Virginia, and Wisconsin — currently receive the most active regulatory scrutiny. With at least 17 states having introduced AI-specific insurance bills in 2025 alone, the landscape is shifting quickly. If you are weighing where to live or doing a serious insurance comparison across state lines, the strength of local AI consumer protections is increasingly worth factoring in.

Can AI in insurance actually help me find insurance savings, or will it always work against me?

AI genuinely cuts both ways. On the positive side, faster claims management, more precise risk assessment, and automated fraud detection can lower operational costs — savings that responsible insurers can pass on to lower-risk policyholders. Consumer acceptance of AI in property and casualty insurance nearly doubled, from 20% in 2025 to 39% in 2026, partly because some consumers have experienced faster claims and more personalized pricing. On the negative side, opaque algorithms can raise rates for reasons you cannot see or contest, and the Cigna and UnitedHealthcare cases show just how costly automated errors can be. The smartest approach is to stay informed, do regular insurance comparison shopping across multiple providers, and partner with a licensed independent agent who can identify real insurance savings without sacrificing your right to fair, transparent treatment. This article is for informational purposes only — always consult a licensed agent for advice specific to your situation.

Disclaimer: This article is for informational purposes only and does not constitute insurance advice. Always consult a licensed insurance agent for personalized guidance.

Why Medical Malpractice Insurance Premiums Keep Rising — And Who's Paying the Price

Medical Malpractice Insurance in 2026: AMA Research Exposes a 'Broken' System Driving Up Premiums

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Key Takeaways

• 28.7% of U.S. physicians have been sued at least once in their careers as of 2024, down from 34% in 2016 — but lifetime litigation risk remains alarmingly high.
• Medical liability insurance premiums have risen for seven straight years, with 36 states seeing increases in 2025 alone and 11 states logging double-digit spikes.
• Surgical specialties carry the heaviest burden: 59.6% of OB-GYNs and 53.1% of general surgeons have faced a lawsuit, while the annual claim rate has modestly declined to 1.8%.
• AI is entering the malpractice arena fast, and major insurers like The Doctors Company say they currently have 'no exclusion for AI' — meaning the rules are still being written.

What Happened

The American Medical Association (AMA) released sweeping new research tracking medical liability claim frequency among U.S. patient care physicians from 2016 to 2024, and the results paint a complicated picture. On one hand, real progress has been made: the share of physicians who had been sued during their careers dropped from 34% in 2016 to 28.7% in 2024. The annual claim rate also declined, falling from roughly 2.4% in the 2016–2018 period to 1.8% by 2022. That is a meaningful reduction in new litigation activity year over year, and it reflects improved risk management and clinical practices across the profession.

But here is the catch — and it is a significant one. Career-level cumulative risk (the total likelihood that a physician will face a lawsuit over their entire working life) remains substantial. Nearly half of physicians aged 55 and older — 45.2%, to be precise — have been sued at least once. Compare that to just 11% of physicians under age 45, and you begin to see how claims management becomes a lifetime burden rather than an isolated event. The longer a doctor practices, the more exposure compounds.

The AMA did not mince words. The organization characterized the current environment as a "broken system," pointing out that a lawsuit does not mean a medical mistake actually occurred. In fact, the majority of malpractice cases are dropped or dismissed before they ever reach a trial — yet physicians still bear the full financial strain and psychological toll. Meanwhile, premiums have climbed for seven consecutive years as of 2025, the longest sustained upward trend since the early 2000s. This persistent pressure is now driving urgent conversations about systemic reform, and it has consequences that reach well beyond the doctors themselves.

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Why It Matters for Your Coverage

You might be wondering: "I'm not a doctor — why should I care about malpractice insurance?" It is a fair question, and the answer matters whether you are a patient, a healthcare employer, or a small business owner. When your physician's operating costs go up, those costs eventually ripple through the healthcare system you use every day. Think of it like a restaurant that suddenly has to pay 40% more for its core ingredients — sooner or later, that shows up in the price of every meal. Rising malpractice premiums are one ingredient in the broader recipe of rising healthcare costs.

The premium trend data is striking. The share of medical liability premiums rising year-over-year jumped from just 13.7% in 2018 to a staggering 39.9% in 2025. In 2025 alone, 36 states saw at least one premium increase, 18 states had at least half of all reported premiums rise, and 11 states experienced at least one premium growing by 10% or more. Five of those states logged back-to-back double-digit increases in both 2024 and 2025. For medical practices trying to manage overhead, this kind of sustained upswing makes insurance comparison across multiple carriers not just smart — it is essential.

Specialty is one of the most powerful variables in any serious risk assessment. OB-GYNs carry the heaviest career claim burden at 59.6%, followed by general surgeons at 53.1%. At the other end of the spectrum, endocrinologists (8.9%) and psychiatrists (9.2%) face far lower lifetime rates. This specialty-driven variation is exactly why a blanket, one-size-fits-all approach to policy coverage (the terms and protections included in your insurance contract) simply does not reflect real-world exposure. A thorough insurance comparison that accounts for specialty-specific claims history can yield significant insurance savings over time.

Gender disparities also emerge in the AMA data. Male physicians show a career sue rate of 36.8% compared to 24% for female physicians. Even after controlling for age, specialty, and geography, men are approximately 7 percentage points more likely to have faced a lawsuit and carry roughly 21 more claims per 100 physicians over their careers. Researchers are still working to fully explain this gap, but it reinforces that risk assessment in medical professional liability (MPL) insurance is genuinely complex and deeply individual.

There is an important bright spot worth noting: California's non-economic damage caps — legal limits on how much plaintiffs can recover for pain and suffering, as opposed to measurable out-of-pocket financial losses — are widely credited with keeping that state's premiums consistently below the national average. This provides a compelling real-world data point in ongoing tort reform debates and a reminder that policy coverage costs can look very different depending on geography. For small businesses employing healthcare professionals, understanding your state's regulatory environment before shopping for coverage is a critical first step toward achieving genuine insurance savings.

The AI Angle

The medical liability landscape is shifting just as artificial intelligence begins reshaping how doctors diagnose, document, and treat patients — and the insurance industry is watching with keen interest. AI-driven risk assessment tools are already being used by some MPL carriers to analyze historical claims patterns, flag high-risk procedures, and refine underwriting (the process by which insurers evaluate whether and at what price to offer coverage) with greater precision than traditional actuarial models allow.

The most revealing AI disclosure, however, came from The Doctors Company, one of the nation's leading malpractice insurers. The company confirmed it currently has "no exclusion for AI" and would "still defend and potentially indemnify (pay out on a physician's behalf) a physician if AI played a role in a claim." That statement is both reassuring and telling — it signals that the industry has not yet developed a standardized framework for pricing AI-related liability into claims management models.

Insurtech platforms such as Gradient AI and Verisk's claims analytics suite are being piloted by MPL carriers to automate early claims triage and predict litigation outcomes more consistently. These tools promise faster resolution and sharper risk assessment, but they also raise new questions about algorithmic accountability. As AI becomes standard in clinical care, expect policy coverage terms and premium pricing to reflect that complexity within the next few years. Now is the time to ask your broker exactly where your coverage stands.

What Should You Do? 3 Action Steps

1. Review Your Specialty's Actual Claim Risk Before Your Next Renewal

If you are a healthcare professional or manage a medical practice, do not auto-renew your malpractice policy without conducting a proper insurance comparison first. The AMA data makes clear that claim rates vary enormously by specialty — an OB-GYN's risk assessment looks nothing like a psychiatrist's. Request loss-run reports (a documented history of past claims filed against your policy) from your current insurer and use them as leverage when shopping for policy coverage from competing carriers. Even a modest premium reduction, compounded over years, delivers real insurance savings.

2. Ask Specifically About AI Coverage Clauses — and Get the Answer in Writing

As AI-assisted diagnostics and treatment planning become more common in everyday practice, any gap in policy coverage for AI-related claims could become very costly. The Doctors Company's confirmation of no current AI exclusion is encouraging, but not all carriers are the same, and the landscape is evolving quickly. Proactive claims management starts with understanding your policy before a claim ever arises, not after. Ask your broker whether AI tool use in your practice affects your coverage, and request written confirmation. This one conversation could prevent a very expensive surprise and ultimately support long-term insurance savings by closing an unintended coverage gap.

3. Track Your State's Premium Trend and Engage in the Tort Reform Conversation

With 11 states seeing premium increases of 10% or more in 2025 — and five of them logging those spikes for two consecutive years — geography plays an enormous role in what you pay. If you practice or operate in a high-cost state, monitor whether tort reform legislation (changes to lawsuit rules that can cap damage awards and reduce litigation uncertainty) is active in your statehouse. California's experience with non-economic damage caps is a proven, data-backed model for achieving insurance savings at scale. Connect with your state medical association and participate in the policy conversation — premium trends rarely reverse without collective, organized advocacy for systemic change.

Frequently Asked Questions

How does the 'broken' medical malpractice system described by the AMA affect my health insurance premiums in 2026?

Medical malpractice costs are a built-in operating expense for healthcare providers, and when those costs rise, they ripple through the healthcare system in the form of higher fees and, indirectly, higher insurance premiums for patients. The AMA's finding that 39.9% of medical liability premiums rose year-over-year in 2025 — up from just 13.7% in 2018 — signals a systemic cost increase that affects the entire healthcare ecosystem. While there is no direct one-to-one relationship between malpractice premiums and your personal health insurance bill, sustained growth in MPL insurance is one contributing factor to rising healthcare costs overall. Always consult a licensed insurance agent for personalized guidance on how these trends affect your specific policy coverage.

Why have medical malpractice insurance premiums been increasing for seven straight years and when will it stop?

The seven-year streak of rising medical liability premiums reflects a combination of forces: social inflation (the tendency for jury awards and legal settlements to grow faster than general economic inflation), increasing litigation costs, and the slow-building cumulative risk documented in the AMA's research. WTW's Insurance Marketplace Realities 2026 report on Healthcare Professional Liability noted that while this prolonged upswing is significant, its severity still falls short of the hard market crisis of the early 2000s, suggesting the system is trending in a concerning direction but has not yet reached full crisis-level severity. Effective claims management by insurers and tort reform at the state level are the most commonly cited tools for reversing the trend, and an insurance comparison across multiple carriers can help practitioners find relative relief in the interim.

Does my doctor's medical specialty affect how much they pay for malpractice insurance and how does that affect my care?

Absolutely — specialty is one of the dominant variables in medical malpractice risk assessment. According to AMA 2024 data, 59.6% of OB-GYNs and 53.1% of general surgeons have been sued at least once in their careers, while endocrinologists (8.9%) and psychiatrists (9.2%) face the lowest lifetime rates. Insurers use specialty as a primary factor in underwriting, which means an OB-GYN will typically pay far more for equivalent policy coverage than a psychiatrist in the same state. High premium costs can influence where certain specialists choose to practice, which in some regions limits patient access to high-risk specialty care. Doing an insurance comparison across carriers that specialize in your medical field can uncover meaningful insurance savings without sacrificing protection.

Can AI tools used during my medical care increase my doctor's malpractice liability risk and affect their coverage?

This is one of the most actively debated questions in healthcare professional liability right now. The Doctors Company — a leading national malpractice insurer — has confirmed it currently has "no exclusion for AI" and would still defend and potentially indemnify a physician if AI played a role in a claim. That means, for now, AI use does not automatically void a doctor's coverage. However, as AI-assisted diagnostics and clinical decision support become more widespread, insurers are actively developing new claims management frameworks and risk assessment models around AI-related incidents. The safest approach for any physician: ask your broker directly whether AI-assisted tools in your practice affect your policy coverage, and document that answer in writing before using such tools clinically.

Which states have the lowest medical malpractice insurance premiums in 2026 and what can high-cost states learn from them?

California is consistently cited as the benchmark for keeping medical malpractice premiums below the national average, thanks primarily to its non-economic damage caps — statutory limits on how much plaintiffs can collect for pain and suffering. These caps reduce the financial unpredictability that compels insurers to charge higher premiums as a hedge against runaway jury awards. In 2025, five states experienced double-digit premium increases in back-to-back years, while states with established tort reform frameworks have generally fared better in insurance comparison studies. If you are a physician weighing where to practice, factoring state-level premium trends into your financial planning could translate into significant insurance savings over a career. For small business owners employing healthcare professionals, the same location-driven logic applies when selecting and benchmarking policy coverage options.

Disclaimer: This article is for informational purposes only and does not constitute insurance advice. Always consult a licensed insurance agent for personalized guidance.

AI Liability Insurance Exclusions: What Business Owners Must Know Before Coverage Disappears

AI Liability Insurance Exclusions Are Here — What Business Owners Need to Know in 2026

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Key Takeaways

• In November 2025, major insurers AIG, Great American, and W.R. Berkley filed requests with state regulators to exclude AI-related claims from standard commercial policies — a seismic shift in business risk assessment.
• W.R. Berkley's "absolute AI exclusion" blocks policy coverage for any claim tied to AI use across D&O (Directors & Officers liability), E&O (Errors & Omissions), and fiduciary liability products.
• Standalone AI liability policies — like Armilla AI's Lloyd's of London-backed coverage up to $25 million per organization — are emerging as the critical new tool for AI-using businesses.
• Industry analysts expect AI exclusions to become standard across most commercial policies by late 2027, making an immediate insurance comparison essential for any business that relies on AI tools today.

What Happened

In November 2025, three of the biggest names in commercial insurance — AIG, Great American Insurance, and W.R. Berkley — sent shockwaves through the business world by filing formal requests with state regulators to exclude AI-related liabilities from their standard commercial policies. Their shared reasoning: artificial intelligence, particularly the generative variety powering chatbots, automated decisions, and AI-generated content, is too unpredictable and opaque to price under conventional insurance frameworks.

W.R. Berkley went furthest, introducing what it calls an "absolute AI exclusion" across its D&O (Directors & Officers — coverage protecting company leadership from personal liability), E&O (Errors & Omissions — coverage for professional mistakes), and fiduciary liability products. This blanket restriction bars any claim "based upon, arising out of, or attributable to" the use, deployment, or development of AI — including AI-generated content, chatbot communications, and even regulatory penalties tied to AI governance failures. In plain terms: if your business gets sued because an AI tool made a damaging decision, W.R. Berkley won't pay the bill.

AIG confirmed it filed generative AI exclusions with regulators but stated it "has no plans to implement them at this time" — keeping the exclusions in reserve as a future option. Hamilton Insurance Group also joined the trend, issuing its own Generative AI Exclusion that removes policy coverage for any claim arising from a policyholder's actual or alleged use of generative AI, mirroring the broader industry shift. For business owners who rely on AI-powered software — from customer service chatbots to automated hiring tools — this demands immediate attention and a thorough review of your existing coverage.

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Why It Matters for Your Coverage

Building on that alarming picture, it helps to understand why insurers feel they have no choice but to act — because the reasoning directly affects how you should think about your own risk assessment going forward.

Think of it like flood insurance. For decades, standard homeowner policies covered water damage — until insurers realized that flood-related claims were too massive and too unpredictable to bundle into a general policy. Today, you need separate flood insurance if you live in a flood zone. The industry is now drawing a nearly identical line around AI. The core actuarial problem (the mathematical science insurers use to calculate risk and set prices) is what experts call "correlated risk." Kevin Kalinich, Aon's head of cyber risk, captured it precisely: "The industry could absorb a $400 million or $500 million hit from a misfiring agent used by one company, but cannot absorb an upstream failure that produces a thousand losses at once."

In other words, if one company's AI goes haywire, insurers can likely handle that single claim. But if a shared AI model used by thousands of businesses simultaneously fails — triggering lawsuits, regulatory fines, and business losses all at once — the entire insurance system could be overwhelmed in days. This is a fundamentally different challenge from traditional risk assessment. With car accidents or even cyber breaches, insurance companies study historical data, spot patterns, and price policies accordingly. AI failures don't follow predictable patterns yet. A hallucination (when an AI generates false information presented as fact), model drift (when an AI's behavior gradually changes as the underlying data shifts), or an AI that produces discriminatory outcomes can each trigger financial consequences that actuaries simply cannot model with confidence.

For small business owners, the practical impact arrives on several fronts. First, if you currently assume your general liability or E&O policy covers AI-related incidents, that assumption may now be dangerously wrong. An insurance comparison of your existing policies against new exclusion language is not optional — it is urgent. Second, the global AI insurance market is projected to grow to approximately $4.7 billion in premiums by 2032, signaling that specialized coverage will exist, but it will be sold separately and cost more. Third, and most important for long-term insurance savings: businesses that proactively document their AI governance practices, data handling procedures, and human oversight protocols will likely qualify for better rates on standalone AI liability policies. Karthik Ramakrishnan, founder and CEO of Armilla AI, put it directly: "Capital tends to flow toward what's traceable" — meaning how responsibly you manage your AI tools will matter as much as what those tools can do when it comes to your policy coverage options.

The bottom line: read your existing policies carefully, flag any AI-related exclusion language, and get professional guidance. Do not wait for renewal to discover a gap.

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The AI Angle

Ironically, insurers are retreating from covering AI precisely as AI is transforming how they operate internally. AI-powered claims management systems now process routine auto and property claims in minutes rather than days, and automated underwriting tools are pulling risk assessment data from satellite imagery, telematics feeds, and behavioral signals to price policies faster and more accurately than human analysts alone ever could.

This creates a sharp tension: insurers aggressively deploy AI in their own operations while refusing to backstop the AI risks their policyholders carry. Armilla AI — the first Lloyd's of London coverholder (an entity authorized to underwrite policies on Lloyd's behalf) dedicated exclusively to AI liability — is stepping into that gap. Its standalone AI Liability Policy now covers up to $25 million per organization, protecting against hallucinations, model drift, data leakage, inaccurate AI outputs, and AI regulatory violations. Insurtech platforms are simultaneously developing specialized AI claims management tools to evaluate AI-specific incidents more accurately, creating a feedback loop that could eventually make dedicated AI policies far more accessible for smaller businesses. The ecosystem is young, but it is moving fast.

What Should You Do? 3 Action Steps

1. Audit Your Current Policy Coverage for AI Exclusions Today

Pull every commercial policy you hold — general liability, E&O (Errors & Omissions), D&O (Directors & Officers), and cyber — and search specifically for language referencing "artificial intelligence," "generative AI," "automated decision-making," or "AI-generated content." If your insurer is among those that have filed exclusions, or if you spot new exclusion language you did not see at last renewal, contact your broker immediately. Do not wait. Running an insurance comparison across multiple carriers can reveal whether a competing policy still offers broader protection at a similar price — and that window may narrow quickly as industry analysts project AI exclusions to become standard by late 2027.

2. Build a Complete Inventory of Every AI Tool Your Business Uses

You cannot address a risk assessment gap you cannot see. List every AI-powered tool touching your business — customer service chatbots, AI-generated marketing copy, automated hiring or scheduling software, fraud detection systems, predictive pricing tools — and identify who bears legal responsibility if that tool causes harm. This inventory also supports smoother claims management if an incident does occur: your insurer will need a clear picture of what technology was involved, how it was supervised, and what safeguards were in place. Businesses with well-documented AI governance practices are positioned to negotiate better rates when standalone AI policies become a necessity.

3. Explore Standalone AI Liability Policies Now for Long-Term Insurance Savings

If your business depends on AI tools in any meaningful way, start shopping for dedicated AI liability coverage before exclusions become universal. Armilla AI, backed by Lloyd's of London, offers policies covering up to $25 million per organization for AI-specific risks including hallucinations, model drift, data leakage, and regulatory violations. Shopping early delivers two concrete advantages: you avoid the price spikes that typically accompany new mandatory coverage categories, and you may qualify for insurance savings by demonstrating strong AI governance practices before the broader market catches on. Always consult a licensed insurance agent to conduct a proper insurance comparison and find coverage suited to your industry and specific AI use cases.

Frequently Asked Questions

Does my current business insurance policy cover AI-related lawsuits in 2026?

It depends on your insurer and when your policy was last written or renewed. As of November 2025, major insurers including W.R. Berkley and Hamilton Insurance Group began filing exclusions that specifically remove policy coverage for claims arising from any AI use. AIG filed similar exclusions with regulators, though it has stated it has no plans to implement them immediately. If your policy was recently issued or renewed, review it carefully for any language about artificial intelligence or automated systems. If you find exclusion language — or are unsure — consult a licensed insurance agent to assess your actual exposure and explore standalone AI liability options before assuming you are protected.

What types of AI claims are being excluded from commercial insurance policies starting in 2026?

The exclusions currently being filed are notably broad. W.R. Berkley's absolute AI exclusion bars any claim "based upon, arising out of, or attributable to" the use or development of AI — covering AI-generated content, chatbot communications, automated decisions, and even regulatory penalties tied to AI governance failures. In practical terms, this could include lawsuits over AI hallucinations (false information stated as fact), discrimination by automated hiring tools, intellectual property infringement from AI-generated creative output, and data breaches caused by AI systems. A thorough risk assessment of every AI tool your business uses is the essential starting point for understanding your specific exposure under these new exclusions.

How much does standalone AI liability insurance cost for small businesses in 2026?

Standalone AI liability insurance is still an early-stage product, so pricing varies widely based on your industry, the types of AI tools you deploy, your annual revenue, and the strength of your AI governance practices. Armilla AI — the first Lloyd's of London-backed insurer dedicated exclusively to AI liability — offers policies covering up to $25 million per organization for risks including hallucinations, model drift, and regulatory violations. The global AI insurance market is projected to grow to approximately $4.7 billion in premiums by 2032 as coverage options multiply. For potential insurance savings, work with a licensed agent to conduct a thorough insurance comparison across available standalone carriers before AI exclusions become the universal default by the projected late 2027 deadline.

Will the new AI insurance exclusions affect how my business handles claims management after an AI incident?

Yes, significantly. If your standard commercial policy now excludes AI-related claims, any incident involving an AI tool — a chatbot that delivers harmful advice, an automated system that makes a discriminatory decision, or an AI that inadvertently leaks customer data — would fall outside your regular coverage. Without a dedicated standalone AI policy, you would be managing those claims and legal costs entirely out of pocket. This is why your claims management planning should include a clear map of which policy responds to which type of incident. Emerging insurtech platforms are building specialized AI claims management tools to help businesses navigate exactly this complexity as the market evolves, but having the right coverage in place first is non-negotiable.

Is there an insurance savings strategy for small businesses that use AI tools responsibly in 2026?

Yes, and it is one of the most actionable steps available right now. Industry experts and early AI liability insurers are increasingly rewarding businesses that can demonstrate strong AI governance — meaning documented oversight processes, regular model auditing, human review checkpoints, and clear accountability structures. Karthik Ramakrishnan, CEO of Armilla AI, noted that "capital tends to flow toward what's traceable," signaling that insurers will price policies more favorably for businesses whose risk assessment practices are transparent and verifiable. Building an AI governance framework before shopping for standalone coverage is one of the best insurance savings strategies available today. As always, consult a licensed insurance professional to tailor an approach to your specific industry and risk profile — this article is informational only and is not a substitute for personalized advice.

Disclaimer: This article is for informational purposes only and does not constitute insurance advice. Always consult a licensed insurance agent for personalized guidance.

AMA Says Medical Liability Insurance Is Broken — What Rising Malpractice Costs Mean for You

AMA: Medical Liability Insurance Is Broken — What Rising Malpractice Costs Mean for You in 2026

Photo by Fotos on Unsplash

Key Takeaways

• 28.7% of U.S. physicians have been sued at least once, and medical liability insurance premiums rose for the seventh consecutive year in 2025 — the longest upward streak since 2005.
• The total U.S. malpractice liability system costs an estimated $55.6 billion per year, including claims, premiums, and defensive medicine — costs that ultimately reach patients.
• States with tort reform, like California, show significantly lower premiums, offering a real-world model for how legal policy shapes insurance costs.
• AI-driven underwriting and claims management tools are beginning to help insurers price medical liability risk more accurately, creating new pathways toward insurance savings.

What Happened

In April 2026, the American Medical Association (AMA) released two major research reports shining a harsh light on what it calls a "broken" medical liability system in the United States. The findings paint a sobering picture: as of 2024, 28.7% of U.S. physicians — nearly three in ten doctors — have been sued at least once during their career. While that figure has edged down from 34% in 2016, the liability landscape remains deeply strained.

The harder number to ignore is what's happening to insurance premiums (the regular payments doctors and hospitals make to maintain malpractice coverage). Medical liability insurance premiums rose for the seventh consecutive year in 2025, marking the most prolonged upward trend since 2005. The share of physicians experiencing year-over-year premium increases jumped sharply from 13.7% in 2018 to 39.9% in 2025. Eleven states recorded at least one premium increase of 10% or more in a single year.

AMA President Bobby Mukkamala, MD, summed it up bluntly in April 2026: "A claim does not mean a mistake was made. Most cases never find fault with the physician, and the majority are dropped or dismissed before trial. The ongoing liability risk not only challenges physicians but it increases practice expenses, reinforces defensive medical practices, and drives up health care costs for patients and families."

In 2024, 1.8% of physicians were sued in the prior year, down modestly from 2.3% in 2016 — a meaningful but insufficient decline given the sustained premium environment. Even when doctors win, and most do, the system extracts a heavy financial and emotional toll. And those costs don't stay in the courtroom. They spread throughout the entire healthcare economy, landing eventually on patients like you.

Photo by Accuray on Unsplash

Why It Matters for Your Coverage

You might be wondering: I'm not a doctor — why should I care about malpractice insurance premiums? The answer is that this issue affects your policy coverage and healthcare costs in more ways than most people realize.

Think of it like a water balloon. When pressure builds in one part of the healthcare system — say, skyrocketing malpractice premiums — the financial squeeze doesn't stay contained. It pushes outward. Hospitals and medical practices absorb higher insurance costs, then pass a portion of those costs on through higher service fees, which in turn affects what your health insurer pays, which eventually affects your own premiums and out-of-pocket expenses. That's why an honest insurance comparison of your health plan options must account for the broader litigation environment in your state.

Here's how the numbers tell that story. The total U.S. malpractice liability system costs an estimated $55.6 billion per year when you factor in not just claims and premiums, but also "defensive medicine" — when doctors order extra tests or procedures primarily to protect themselves from lawsuits rather than because the patient medically needs them. A February 2026 study from Georgia State University found that tort reform (laws that limit the dollar amount that can be awarded in a lawsuit) saves hospitals an average of $372 per patient on defensive medicine alone. That translates to roughly $2.38 million in annual savings per hospital. Better risk assessment of actual patient needs — rather than liability fears — could meaningfully reduce what you pay.

The specialty breakdown is particularly striking for anyone who sees high-risk physicians. Among OB/GYNs (obstetricians and gynecologists who handle pregnancy and childbirth), 59.6% have been sued at least once. For general surgeons, the figure is 53.1%. And among physicians aged 55 and older — the most experienced doctors in the field — nearly three in four have faced a lawsuit, compared to only 11% of physicians under age 45. It's no coincidence that these specialties carry the highest malpractice premiums, costs that ultimately factor into any insurance comparison you make when selecting a healthcare plan or provider network.

The geographic picture matters, too. States like Pennsylvania, Kentucky, Florida, Illinois, and New York have experienced large premium increases in both 2024 and 2025, creating what insurers call "hard-market conditions" — meaning coverage is more expensive and harder to obtain. On the other end of the spectrum, California shows significantly lower premiums across insurers, largely because of a state law capping noneconomic damages (money awarded for things like pain and suffering, as opposed to actual lost wages or medical bills). That real-world insurance comparison between states illustrates how legal and policy environments directly shape what both doctors and patients pay.

AMA researchers and health policy analysts note that conventional tort reforms treat symptoms rather than root causes, and that more structural changes — such as legal "safe harbors" (legal protections) for physicians who follow evidence-based clinical guidelines — may offer more durable policy coverage stability across the system.

The AI Angle

The sustained pressure on medical liability insurers is also accelerating a shift toward AI-driven underwriting and claims management. Traditional malpractice insurance underwriting relied on blunt tools: specialty category, years in practice, and geographic location. But the AMA's data shows that risk is far more nuanced — annual claim frequency dropped from 2.3% in 2016 to 1.8% in 2024 even as premiums kept rising, a disconnect that better data analytics could help resolve.

Insurtech platforms like Gradient AI and Verisk Medical are now applying machine learning to medical liability risk assessment, analyzing procedure volumes, patient outcome records, and litigation history at the individual physician level. This granular approach to risk assessment allows insurers to price policies more fairly — potentially rewarding low-risk physicians with lower premiums rather than spreading costs broadly across an entire specialty.

On the claims management side, AI tools can flag potentially inflated or fraudulent claims earlier in the legal process, cutting settlement times and legal costs. Faster, more accurate claims management benefits everyone in the chain: insurers, physicians, and patients. If the AMA's push for evidence-based safe harbor protections gains traction, it would create structured outcome data that AI systems could use to automate future coverage decisions — opening a meaningful path toward system-wide insurance savings.

What Should You Do? 3 Action Steps

1. Do a Healthcare Coverage Insurance Comparison Before Your Next Open Enrollment

If you're choosing a health plan this year, look beyond just the monthly premium. Compare plans based on their network of providers — specifically whether your key specialists, like OB/GYNs or surgeons, are included and stable. In high-litigation states like Florida, New York, or Illinois, physician turnover driven by malpractice pressure can affect which doctors are available in your network. A licensed insurance agent can help you run a thorough insurance comparison based on your healthcare usage patterns and your state's litigation environment. Never make this decision based on price alone.

2. If You Own or Manage a Medical Practice, Review Your Policy Coverage Annually

Medical liability premiums are in their seventh straight year of increases, with 11 states seeing hikes of 10% or more in a single year. Don't auto-renew without shopping the market. Ask your broker for a side-by-side policy coverage comparison across at least three carriers, and ask specifically about "occurrence" versus "claims-made" coverage (occurrence policies cover incidents that happen during the policy period even if the lawsuit is filed years later — often the more comprehensive choice for long-term risk assessment). A licensed agent who specializes in medical professional liability is essential here.

3. Understand Your State's Tort Reform Landscape — It Directly Affects Your Insurance Savings

The data from California and the Georgia State University study make a compelling case: states that cap noneconomic damages see meaningfully lower malpractice premiums and less defensive medicine spending. If you live in one of the 36 states where premiums rose in 2025, learning about your state's tort reform legislation is worth your time. Patient advocacy organizations, state medical associations, and consumer groups often track these bills. Structural legal changes represent the most durable path to real insurance savings for both doctors and patients — and informed consumers can help push that conversation forward.

Frequently Asked Questions

How do rising medical malpractice insurance premiums affect my personal health insurance costs in 2026?

When doctors and hospitals pay more for malpractice coverage — and premiums have risen for seven consecutive years through 2025 — those costs often filter through the system indirectly. Providers charge higher fees, health insurers pay more in claims, and those costs can show up in your own premiums or deductibles (the amount you pay out of pocket before insurance kicks in). The AMA estimates the total malpractice liability system costs the U.S. about $55.6 billion annually, a significant portion of which flows to patients. A licensed insurance agent can help you evaluate your current policy coverage and whether your plan reflects competitive pricing for your area.

Does living in a high-litigation state like Florida or New York mean I'll pay more for health and medical insurance in 2026?

Indirectly, yes. States like Pennsylvania, Kentucky, Florida, Illinois, and New York have seen repeated large malpractice premium increases in both 2024 and 2025. In these hard-market environments — where coverage is expensive and harder to obtain — physicians face higher operating costs, some specialists leave the market, and healthcare prices can rise. Running a thorough insurance comparison between plans available in your state, particularly around specialist network stability, is a smart protective step. A licensed professional can assess the risk assessment implications for your specific coverage needs.

What is defensive medicine and how does it drive up my out-of-pocket healthcare costs?

Defensive medicine refers to when doctors order additional tests, imaging, or specialist referrals primarily to protect themselves from potential lawsuits rather than because you clinically need them. It functions as liability insurance for the physician, paid for by the broader healthcare system. A February 2026 Georgia State University study found that tort reform saves hospitals about $372 per patient in defensive medicine costs — roughly $2.38 million per hospital per year. When those savings flow back into the system, they have the potential to reduce your out-of-pocket expenses and improve overall claims management efficiency.

Are there AI-powered insurtech tools that can improve medical malpractice claims management and help lower premiums?

Yes, and this is a rapidly developing area. Insurtech platforms are applying machine learning to medical liability risk assessment — analyzing physician-level procedure data, patient outcomes, and litigation patterns to price policies more precisely. On the claims management side, AI systems can detect inflated or fraudulent claims earlier, cutting legal costs and resolution times. More accurate underwriting could produce fairer premiums for low-risk physicians and create downstream insurance savings for patients. If you're a practice owner, ask your broker whether their carriers use AI-assisted risk assessment tools in their underwriting process — it's an increasingly important differentiator.

Should small business owners who employ healthcare workers review their liability policy coverage given the AMA's 2026 findings?

Absolutely — and if you haven't reviewed your coverage in the past 12 months, now is the time. The AMA's research confirms the U.S. is in its longest sustained hard market for medical liability since the early 2000s, driven by social inflation (the tendency of juries to award increasingly large verdicts) and the erosion of damage caps in several states. For small businesses employing nurses, therapists, or other licensed healthcare workers, your professional liability and general liability policy coverage may need updating. Conduct a fresh insurance comparison across multiple carriers with the guidance of a licensed agent, paying close attention to your state's litigation environment since risk assessment varies significantly by geography.

Disclaimer: This article is for informational purposes only and does not constitute insurance advice. Always consult a licensed insurance agent for personalized guidance.