AI Is Making Decisions About Your Money. You Weren't Asked.

A 2025 survey by the National Association of Insurance Commissioners found that 71% of health insurers are now using AI in their claims review process. The technology is supposed to speed up approvals. In practice, it's being used to deny them at industrial scale.

Class action lawsuits against two of the largest U.S. health insurers allege they deployed AI models to auto-reject claims — overriding their own doctors' recommendations. One insurer's algorithm processed denials at a rate of 1.2 seconds per claim. In a two-month period, over 300,000 claims were rejected this way. Court filings show that when patients did appeal, over 90% of denials were reversed. But fewer than 1% of patients ever file an appeal.

This matters most for Medicare Advantage enrollees. The lawsuits specifically target AI-driven denials of post-hospital care for elderly patients — forcing them to leave rehab facilities early or pay $12,000–$14,000 per month out of pocket. Multiple states are now considering legislation to ban AI from making prior authorization decisions without human review.

Traditional insurance pricing used historical data and broad demographics. The new model uses real-time behavioral data. Telematics devices in your car track braking patterns, acceleration, time of day you drive, and miles logged. Smart home sensors feed data on property conditions. AI models process all of it to generate a continuously updated risk score.

The industry estimates AI could generate $50–$70 billion in new revenue for insurers. That money comes from somewhere — and it's largely from more precise pricing that shifts costs to individuals the algorithm deems higher-risk. If you brake hard more than average, drive after 10pm, or live in a zip code with rising claim frequency, your renewal premium reflects it — even if you've never filed a claim.

Home insurance is following the same path. AI tools can estimate your home's contents from exterior photos. Climate risk models now adjust premiums by neighborhood, not just by region. This means two houses on the same street can get meaningfully different rates based on satellite imagery, vegetation density, and proximity to flood zones.

Always appeal a health claim denial. The data is overwhelming: over 90% of AI-generated denials are reversed when challenged. Insurers count on the fact that fewer than 1% of patients appeal. A denial letter is not a final answer — it's an opening position. If your doctor recommended the treatment, appeal immediately and include their documentation.

Ask for the basis of your denial in writing. Some insurers have started sending denial letters that explicitly state the claim was reviewed by an AI system. If yours does, that's useful evidence. If it doesn't, ask. Federal rules taking effect in 2026 require Medicare and Medicaid plans to give specific reasons for denials and process reviews electronically.

Know what data your auto insurer is collecting. If you enrolled in a telematics program or downloaded your insurer's app, you likely consented to real-time data sharing. Review what's being tracked. In some states, you can opt out of usage-based pricing without losing coverage — though your "discount" disappears. Decide whether the trade-off is worth it.

Shop your insurance annually, not every 3–5 years. Dynamic AI pricing means your renewal rate is recalculated every cycle. Loyalty is no longer rewarded — it's priced against you. Comparison shopping forces the algorithm to compete. In an AI-driven market, the informed buyer gets the better rate.

Monitor your credit limits quarterly. AI-driven credit management means your issuer can adjust your limit or terms based on spending pattern changes. A sudden decrease in available credit can impact your utilization ratio and credit score — even if you've never missed a payment. Check your limits, not just your balances.