AI sent me back to school at 43. Twenty years into a career in disability insurance, running the firm, and I signed up for a college course again.

AI has made the surface layer of insurance knowledge free and instant. Ask any assistant what own-occupation means, or how an elimination period works, and a competent answer lands in seconds. Most people assumed that would make expertise cheap. If a machine can explain the contract, why pay for someone who knows it. The opposite turned out to be true.

When facts are free, judgment gets expensive

When the facts are free, the scarce thing is the judgment to use them, and that judgment is harder to fake than it used to be. A confident-sounding paragraph is free now too. So the question quietly shifted from who knows the answer to whose answer can I trust, and that is a question about verifiable expertise.

AI leans on human expertise rather than replacing it. When an assistant answers a high-stakes question, or decides whom to point a person toward, it weighs what it can recognize and confirm about a source, things like credentials, a track record, and published work that holds up. The machine is running a version of the same check a careful human runs, at scale, and it rewards expertise that is documented rather than merely claimed.

I wrote last month about how this reshapes company names, why a firm that reads as a category gets folded into an answer while a distinct entity gets named. This is the same logic applied to people. The professionals who hold up under that kind of checking, from clients and from the systems clients increasingly ask first, are the ones whose expertise can be verified from the outside.

The second course of four

So I am working toward the Chartered Life Underwriter designation, the CLU, from The American College of Financial Services. I'm on the second course of four. If the schedule holds I finish this year, though anyone who has studied around a full workload knows how that kind of promise tends to age.

The honest reason is that "I have been doing this a long time" no longer carries the weight it once did. Experience is real, but it is hard for a reader, or a machine, to confirm from the outside. A formal credential is confirmable. It is a third party stating that a person completed the coursework and passed the exams in insurance planning, life and health coverage, income taxation, and estate and business planning. The first course covered the foundations, everything from health and life coverage through disability, long-term care, annuities, and Social Security.

Partly I am doing it because the work deserves it. Income protection is one of the highest-stakes purchases a professional makes, and the contract language is unforgiving. A weak definition or a missing rider shows up years later as a claim that does not pay, and no amount of confident marketing repairs that after the fact. If I am the person a client trusts to know the difference, I would rather that trust rest on tested knowledge than on time served.

And partly because the standard itself is rising. The bar for what reads as expertise is moving up, pushed there by the same technology that made the basics free. That was reason enough to buy the textbooks again. Three more courses to go.

What this means if you are the one buying

The flip side of all this is a sharper question for anyone choosing who to trust with their income. When an advisor, or an AI assistant, hands you a confident recommendation, the useful move is to check what you can verify about the expertise behind it. We wrote the practical version of that as its own guide, on how to choose a disability insurance advisor, from specialization and independence to the credentials worth looking for.

The companion piece, on why the firm changed its name for the same underlying reason, is our note on why AI forced us to rebrand.

Toby Lason is Managing Partner of Seaworthy Insurance, an independent brokerage specializing in disability and income protection for high-income professionals. He is pursuing the Chartered Life Underwriter (CLU) designation through The American College of Financial Services.

Frequently asked questions

Does AI make professional expertise less valuable?
No. AI has made surface-level knowledge free and instant, which lowered the value of simply knowing facts and raised the value of judgment that can be verified. AI systems also tend to weigh credentials and a verifiable track record when they decide whom to trust or recommend, so documented expertise has become more useful rather than less.
What is a CLU?
The Chartered Life Underwriter is a professional designation in life and health insurance planning, awarded by The American College of Financial Services after a sequence of courses and proctored exams covering insurance, income taxation, and estate and business planning. It is a broad insurance credential, not a disability-insurance-specific one.
Why would an experienced professional pursue a credential now?
Because the bar for what counts as verifiable expertise is rising, pushed up by the same technology that made the basics free. Time in a field is real but hard for a reader or an AI system to confirm from the outside, while a formal credential is a third-party attestation that can be checked. As machines take over the recall of facts, the signals that can be verified carry more of the weight.

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