The Lamplighter's Ladder

What the night the lights came on can teach advisors about AI — and about the one thing it will never do for your clients.

A job that existed for four hundred years

Before the electric grid, cities hired men to walk the streets at dusk with a ladder and an open flame. They climbed, they lit, they moved on. At dawn they walked the same route backward and put the lamps out. In London alone there were thousands of them. New York, Paris, Chicago — every city of any size had a small standing army of lamplighters, and everyone assumed there always would be.

What is easy to forget is how much sat behind those men. The lamps burned kerosene, and kerosene had to be refined, barreled, and hauled. Railroads ran dedicated tank cars. Regional dealers held inventory. Wholesalers financed the inventory. Manufacturers made the lamps, the wicks, the glass, the ladders. A single job on a street corner was the visible tip of an entire supply chain, and tens of thousands of people made a living somewhere along it.

Then Edison flipped a switch.

The lamplighters did not slowly decline. They disappeared. And so did the freight routes, the refiners, the dealers, and the whole economy that had been built around a fuel nobody needed anymore.

Innovation doesn't nudge. It erases — then it builds something larger.

Here is the part of the story that usually gets left out: electrification did not shrink the labor market. It exploded it. The grid required generation plants, transmission lines, substations, meters, electricians, appliance manufacturers, and eventually every industry that could not have existed without cheap, reliable, always-on power. The number of jobs created dwarfed the number destroyed — by orders of magnitude.

The pattern repeats with almost boring consistency. The commercial ice-harvesting industry — men sawing blocks out of frozen New England lakes — was wiped out by mechanical refrigeration, which then created cold-chain logistics, frozen food, modern pharmaceuticals, and vaccine distribution. Spreadsheet software was supposed to end the accounting profession; instead the number of accountants grew, because the cost of asking a financial question collapsed and so people started asking a hundred times more of them.

The uncomfortable middle

The destruction and the creation are never evenly distributed, and they are never simultaneous. The lamplighter did not become an electrical engineer. That gap — between what ends and what begins — is where the whole question lives.

AI is that switch

Every professional reading this is already working next to it. Not in some speculative future — this quarter, in the actual files on your actual desk.

In our corner of the world, the shift is already visible in specific places:

–    Underwriting. Accelerated and algorithmic underwriting programs are replacing paramed exams and fluid draws for an expanding slice of face amounts, compressing decision timelines from weeks to days.

–    In-force policy analysis. Reading a thirty-year in-force ledger, stress-testing crediting-rate assumptions, and flagging a policy on a path to lapse is exactly the kind of structured, tedious, high-stakes pattern work that machines do quickly.

–    Estate document review. Attorneys are using AI to surface inconsistencies between trust language and beneficiary designations across a stack of documents — the mismatch that quietly destroys plans.

–    Tax and scenario modeling. CPAs are running far more what-if permutations than budget or billable hours ever previously allowed.

–    Valuation and exit prep. CEPAs are compressing the front end of readiness assessments and spending the saved hours on the owner conversation instead of the workbook.

None of that erases the advisor. What it erases is the part of the advisor's week spent doing work that never should have required a human in the first place.

What AI cannot do — and this is the whole point

A language model has no duty of loyalty. It has no obligation to your client. It does not understand family dynamics. It will produce an answer that is fluent, confident, well-formatted, and occasionally wrong, and it will not tell you which one you are looking at.

It also has no stake in the outcome — which sounds like objectivity, but is actually the opposite of it. Objectivity is a commitment. A fiduciary standard is not a personality trait or a tone of voice; it is a structural obligation to act in someone else's interest even when a different answer would pay better. A model cannot hold that obligation. A person has to.

Consider what that means in a policy review. AI can read the illustration. It cannot tell you all of the options you have without generating just as much paperwork.  It can compare premiums across carriers. It cannot tell you that the cheapest premium sits with a carrier whose financials or rate history should make you cautious. It can tell you the policy is performing below its original projection. It cannot sit across from a sixty-eight-year-old business owner and decide whether the right answer is keep it, restructure it, replace it, repurpose it, or let it go — and then be accountable for that recommendation.  It can’t tell you how the widow would feel if the coverage was lost

Three things worth doing this quarter

1.  Pick one repeatable task, not ten. Choose the piece of your week that is high-volume, low-variance, and reversible — meeting summaries, first-pass document review, initial data extraction. Depth beats breadth here.

2.  Run it in parallel before you run it in production. For thirty days, do the task the way you always have and have AI do it alongside you. Compare. You are not evaluating whether the output sounds good; you are finding out where it fails, because that is the only thing you actually need to know.

3.  Write down what you will never delegate. The recommendation, the discussion about dreams and family goals. The moment you tell a client that the product someone sold them ten years ago is not the right product now.

Where Simplicit Financial stands

We are Fiduciary Life Insurance Specialists, standing in the room where it’s happening.  We’ve embraced AI and are using it to help analyze, compare and communicate with clarity.  We ARE checking it’s work – it still gives us wrong input once in a while, but that’s where our expertise comes in.

Want to see a sample of how we take a complicated 52 page illustration and create an interactive graph and table for a client?  Book a short 20-minute meeting, we look forward to speaking soon.

We have no carrier bias — we work across the full marketplace rather than a preferred shelf. We take no AUM participation, so a policy review is not a stalking horse for an asset conversation. And clients are always referred back to their primary advisor. When we say the right answer might be to keep the policy exactly as it is, we have no financial reason to say otherwise.

Your insurance expert with a fiduciary obligation..

The room you want to be in

The lamplighters did not lose their jobs because they were bad at lighting lamps. Many of them were excellent at it. They lost their jobs because the question changed underneath them, and no amount of skill at the old question could answer the new one.  And a protest doesn’t ‘stop the wave’.

AI is not coming for advisors who exercise judgment on behalf of people who trust them. It is coming for the hours those advisors currently spend not doing that. The question is not whether it changes your work. It is whether you are in the room while it happens.

When was the last time your clients’ policies, beneficiaries, and ownership structures were independently reviewed?

Simplicit Financial provides fiduciary policy reviews for advisors and their clients. No carrier bias. No AUM participation. Clients are always referred back to their primary advisor.

simplicitfinancial.com   |   Kate@SimplicitFinancial.com   |   602-284-5757

The 400-household practice and the 90-policy figures above are illustrative composites created for educational purposes and do not represent any actual client, practice, or outcome. This article is for general educational purposes only and does not constitute legal, tax, investment, or insurance advice. Simplicit Financial does not provide legal or tax advice. Always consult your own attorney, CPA, and financial advisor regarding your specific situation.