If you run a business in the United States, you have probably noticed something. Insurance does not work the way it did five years ago. AI is now part of nearly every step, from the moment an underwriter reviews your application to the moment a claims adjuster processes your check.

This shift is not small. It is not a distant trend either. It is happening right now, in 2026, inside the offices of the insurers who write your policies.

Gonzalez Insurance breaks down what is actually changing, what it means for your coverage, and what you should watch for as a business owner.

The Numbers Tell the Real Story

Insurance companies do not adopt new technology just to sound modern. They adopt it when it changes their bottom line. And right now, the data shows AI is doing exactly that.

According to Grant Thornton’s 2026 Industry Survey:

• 52% of insurers report revenue growth tied directly to AI use
• Only 24% say they are fully confident in their AI controls
• 62% report that AI maturity is scaling across multiple business functions
• 68% admit their AI governance is fragmented
• 56% point to regulatory and compliance uncertainty as a top barrier

Read that again. More than half of insurers are making money from AI. Less than a quarter feel fully in control of it. That gap matters to you as a policyholder, because it means the tools shaping your rates and your claims are moving faster than the rules meant to govern them.

Bank of America adds another layer to this picture. Its analysts estimate that more than $15 billion in insurance commissions across the U.S. are exposed to AI disintermediation. That is not a hypothetical number. It affects an estimated 20,000 to 30,000 independent agents nationwide, many of whom work with small and mid-sized businesses just like yours.

Where AI Is Already Changing Insurance

1. Underwriting Gets Faster and More Data-Driven

Underwriting used to mean a human reviewing your application, your history, and maybe a site visit. Now, AI models scan thousands of data points in seconds. Location risk, industry trends, claims history, even satellite imagery for property coverage.

This speeds things up. Applications that once took weeks can now close in days. But it also means your rate depends on data you may never see or fully understand. If the model flags your industry as higher risk based on patterns from other businesses, your premium reflects that, even if your own operation is well run.

2. Claims Processing Moves at Machine Speed

Filing a claim used to mean paperwork, phone calls, and waiting. Today, many U.S. insurers use AI to review photos of damage, cross-check policy details, and approve straightforward claims automatically.

For a simple case, like minor storm damage to a roof, this can mean payment within days instead of weeks. That is a real benefit.

But complex claims still need a human. A judgment call on liability, a dispute over cause of loss, a multi-party commercial claim. These require experience that a model cannot fully replace. This is exactly why working with an agent who understands the nuance still matters.

3. Personal Lines and Small Commercial Policies Face the Most Disruption

Here is where the BofA data gets specific. The commissions most exposed to AI replacement sit in low-complexity personal lines and small commercial policies. Think basic auto coverage, simple business owner policies, and standard general liability for straightforward operations.

BofA estimates that 10% to 20% of this business could face disintermediation pressure as digital agents and chatbots handle routine quoting and servicing.

What does this mean for you? If your business fits a simple, standardized risk profile, you may find yourself quoted and bound entirely through automated channels, with little to no human review. That can be convenient. It can also mean nobody is asking whether your coverage actually fits your operation.

New Liability Exposures Businesses Need to Understand

AI is not just changing how insurers work. It is creating brand new categories of risk for the businesses they insure.

1. Algorithmic decision-making liability. If your company relies on AI to filter job candidates, set product prices, or authorize customer transactions, and that AI yields a biased or toxic result, you could be liable. Traditional general liability policies were structured without this exposure in place.
2. Data & cybersecurity gaps. AI systems run on data. More data collection means more exposure if that data is breached. Many standard commercial policies exclude or limit cyber-related losses, which means a standalone cyber policy is becoming less optional and more essential.
3. Errors from AI-generated content or advice. If your business uses AI tools to draft contracts, generate marketing content, or provide customer guidance, an AI-generated error could trigger a professional liability claim. Who is responsible when the tool gets it wrong? Right now, courts and insurers are still working that out.
4. Third-party AI vendor risk. A large number of companies now turn to outside AI vendors for mission-critical functions, from customer service bots to inventory forecasting. Even though you didn’t build that tool, the vendor’s tool could fail or cause harm, and your business could still be named in a claim.

A Quick Comparison: Then vs. Now

What Business Owners Should Actually Do

You do not need to become an AI expert to protect your business. You need a strategy. Here is where to start.

1. Ask your insurer how your rate was calculated. If AI played a role, you deserve to know which factors weighed most heavily.
2. Review your liability coverage for AI-related gaps. Standard policies often were not built for algorithmic decision-making claims.
3. Get a standalone cyber policy if you do not have one. Data exposure grows every time you add a new digital tool.
4. Document how your business uses AI internally. If you use AI for hiring, pricing, or customer decisions, keep records of how those systems work. This helps in the event of a dispute or claim.
5. Work with an agent, not just an app. Automated quoting works well for simple risks. Your business likely has more going on than a basic algorithm can capture.

Think of it this way. A chatbot can sell you a policy. It cannot tell you what you are missing.

Certain Businesses Need More Than a Standard Policy

The industry you are in has some risks that a broad policy just does not cover. Whether or not your business is engaged in hazardous materials handling, environmental remediation, physical testing operations, or abatement work – you need coverage created by experts who understand those exposures.

At Gonzalez & Company, we stay ahead of these changes through constant training and technical education. We review every risk factor on the books, from general and specific liabilities to errors and omissions, hazardous waste exposure, physical damage, testing, abatement, remediation, and stop-loss coverage. AI has changed how risk gets measured. It has not changed the value of a policy built specifically for your operation.

Talk to Gonzalez Insurance Before Your Next Renewal

AI is reshaping how insurers price risk, process claims, and structure coverage across the United States. Some of that change benefits you. Some of it creates gaps you will not notice until you file a claim.

You do not have to figure this out alone. Contact Gonzalez Insurance to review your current policies, close any AI-related coverage gaps, and make sure your business is protected by people who actually understand your risk, not just an algorithm that estimated it.

FAQs

1. Why is insurance working differently now?

Insurers use AI to speed up underwriting and claims, meaning your rates are increasingly set by data models rather than human review.

2. What new risks does AI create for my business?

You face new liabilities like algorithmic bias, data breaches, and errors from AI tools, which standard policies often exclude.

3. Will AI make filing an insurance claim faster?

Yes, AI can approve and pay straightforward claims within days, though complex disputes still require human oversight.

4. Can I just use an app instead of a real insurance agent?

Apps work well for basic policies, but you need a human agent to spot coverage gaps that an algorithm misses.

5. How can Gonzalez Insurance protect my business from these changes?

Contact Gonzalez Insurance for a thorough policy review to close AI-related gaps and build a plan tailored to your actual risks.