Ep. 071 | The AI Insurance Market Is Coming

The AI insurance market is coming, and that changes how business owners should think about risk.

Michael and Frank break down why AI is creating a new category of exposure that does not fit neatly into traditional software, employee, or cyber risk. As AI spreads through CRMs, marketing tools, customer communication, and operational software, the real question stops being what AI can do and becomes what happens when it fails, who is responsible, and how that risk gets priced.

If insurers, contracts, and compliance teams start asking harder questions about AI use, small business owners will need better answers. This episode explains why insurable AI may become more valuable than flashy AI — and why the companies that document, review, and control their workflows now will be in a much stronger position later.

Topics: AI insurance · business risk · small business operations · AI compliance · vendor liability · automation governance

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Frequently Asked Questions

Why would there be a separate AI insurance market?
Because AI creates a blended category of risk. It can involve software errors, automated actions, bad output, customer-facing mistakes, or exposure of sensitive information, which makes insurers and legal teams more likely to treat it as its own underwriting problem.

How could AI insurance affect small businesses?
Small businesses may see the impact through policy renewals, new exclusions, vendor contracts, compliance questions, or requests to disclose where AI is being used in customer communication and operations.

What should a business owner do before AI risk is formally priced?
Document where AI is already used, separate low-risk and high-risk workflows, and define what requires human review before any customer-facing or operational action happens. That makes the business easier to defend, explain, and potentially insure later.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.

Transcript

SPEAKER_01 0:20

There is a sentence most small business owners have probably never said out loud.

SPEAKER_00 0:24

Which is always where the fun starts.

SPEAKER_01 0:27

The sentence is this I think the AI insurance market is coming.

SPEAKER_00 0:32

And when it gets here, that will tell you the AI era has officially moved from experiment to exposure.

SPEAKER_01 0:39

Exactly. Because insurance only gets serious when the risk gets real enough to price.

SPEAKER_00 0:45

That is the whole signal.

SPEAKER_01 0:47

People hear AI and they still think productivity, content, chatbots, automation, maybe some cool demos.

SPEAKER_00 0:55

But markets eventually ask a different question. Not what can this technology do, but what happens when it fails, who pays, and how often?

SPEAKER_01 1:05

That is when it stops being hype and starts becoming underwriting.

SPEAKER_00 1:10

Which is a sentence so exciting I may need to lie down.

SPEAKER_01 1:13

Stay with me because this matters more than it sounds.

SPEAKER_00 1:17

It does. The minute insurers, compliance teams, and legal departments start building products around AI-specific risk, you know the market has accepted that these systems can create repeatable, measurable business problems.

SPEAKER_01 1:30

And small business owners need to pay attention because they are not going to be exempt from that conversation.

SPEAKER_00 1:37

No. They will just meet it later through higher premiums, new vendor requirements, contract language, or software terms they did not realize had changed.

SPEAKER_01 1:47

That is the part people miss. The first sign of a market shift is not always a press release. Sometimes it is a policy change, a checkbox, or a new line item on a renewal. Very glamorous. Business is often glamorous in deeply disappointing ways.

SPEAKER_00 2:06

So let's connect the dots. Why would there be a separate AI insurance market at all?

SPEAKER_01 2:11

Because AI creates a weird category of business risk. It is not exactly just software risk. It is not exactly just employee error. It is not exactly just cyber risk. It can be all three at once.

SPEAKER_00 2:27

Correct. An AI system can generate bad output, expose sensitive information, automate the wrong action, hallucinate in a customer-facing context, or make a recommendation that creates downstream liability.

SPEAKER_01 2:42

And if that happens inside a real workflow, somebody is going to want to know who is responsible.

SPEAKER_00 2:49

Which is when the insurance world starts circling the problem with a clipboard.

SPEAKER_01 2:53

That should be their slogan.

SPEAKER_00 2:55

I do not think that will test well, but I appreciate the vision.

SPEAKER_01 3:00

Here is why this matters for small businesses. Most owners are going to use AI through software they already buy CRMs, estimators, accounting tools, scheduling systems, customer service tools, marketing platforms.

SPEAKER_00 3:15

Which means the liability chain gets messy fast. Was it your mistake? The employee's mistake?

SPEAKER_01 3:25

And messy is exactly what creates demand for new forms of coverage. Or exclusions. Or exclusions, which is the scarier version.

SPEAKER_00 3:36

Because one of the most realistic outcomes is not just new AI insurance products, it is existing insurance carriers asking whether you use AI in customer communication, decision making, documentation, or regulated workflows.

SPEAKER_01 3:50

And if your answer is yes, they may eventually want more detail.

SPEAKER_00 3:55

What tools, what guardrails, what review process? What permissions? What audit trail? What categories of decisions are still human-controlled?

SPEAKER_01 4:05

Which means if you are using AI casually right now, there is a decent chance you are creating future paperwork for yourself.

SPEAKER_00 4:13

A beautiful reward for innovation. Exactly. But there is another side to this. The businesses that get ahead of the insurance question early could actually gain an advantage. Big advantage. If you can show that your AI use is narrow, reviewed, documented, and controlled, then you are in a much better position than a competitor who just turned on every feature and hoped for the best.

SPEAKER_01 4:37

That is how mature companies win. Not by avoiding tools, but by using them in a way that makes them insurable.

SPEAKER_00 4:44

There is a phrase people should remember. Ooh, that is good. Thank you. I underwrote it myself. No, you did not. That is fair. Let's pause for today's sponsor. Today's episode is brought to you by FieldScribe from Fieldmatrix.ai.

SPEAKER_01 5:07

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SPEAKER_00 5:24

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SPEAKER_01 5:39

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SPEAKER_00 5:51

And now back to the episode.

SPEAKER_01 5:53

So if I run a small business, what should I do before the insurance market catches up to me?

SPEAKER_00 6:00

First document where AI is already being used in your company. Not in theory, in reality. Customer messaging, internal summaries, proposals, marketing copy, note-taking, scheduling, anything operational. Make the invisible visible. Exactly. Second, separate low-risk uses from high-risk uses. Drafting an internal summary is not the same as sending customer-facing claims, making pricing decisions, or generating compliance-sensitive documents. That distinction matters a lot. Third, create a simple review rule. What can AI suggest without approval, and what absolutely requires a human to check it before it goes out or triggers action? This is the kind of thing people skip because it feels boring. Until the boring thing becomes the expensive thing.

SPEAKER_01 6:53

Which is usually when everyone suddenly becomes interested in process.

SPEAKER_00 6:59

Very common pattern.

SPEAKER_01 7:01

I also think this is going to hit through vendor contracts before a lot of owners expect it.

SPEAKER_00 7:06

That is very plausible. Software companies may start adding more AI-specific terms, disclaimers, or usage language to shift liability, clarify limits, or protect themselves against how customers use automated features.

SPEAKER_01 7:20

So, one more reason to actually read what you are clicking through? A radical business idea. I know, but seriously, if the insurance market is coming, that means the legal and risk vocabulary around AI is going to get a lot more concrete.

SPEAKER_00 7:36

Less transformative future, more what exactly happened, who approved it, and was this use disclosed?

SPEAKER_01 7:43

Which sounds boring until it lands on your desk. Then it becomes cinema. Bad cinema. Usually. But this is why I like this topic for business owners. It forces a more mature question. Not just how much can AI save me, but what kind of exposure am I creating while I use it?

SPEAKER_00 8:05

That is the real operator question.

SPEAKER_01 8:09

Because the next stage of the AI market is not just tools, it is controls. And eventually coverage. And if coverage shows up, that means someone has decided AI risk is real enough to score, classify, and price.

SPEAKER_00 8:25

Which is exactly why smart businesses should get ahead of it now.

SPEAKER_01 8:29

So here is the takeaway. The AI insurance market is probably coming, and when it does, it will reward companies that know where they use AI, how they control it, and what they are willing to trust it with.

SPEAKER_00 8:41

The goal is not to avoid AI.

SPEAKER_01 8:44

The goal is to use AI in a way that does not become uninsurable, undefendable, or impossible to explain later.

SPEAKER_00 8:51

That is a surprisingly strong business standard. Strong and underrated. Much like underwriting.

SPEAKER_01 8:58

Please stop flirting with insurance. No promises. That is the episode. See you next time.

SPEAKER_00 9:06

See you then.