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  • September 11, 2026
  • Boldly Financial
  • 0

When I started my first office job, I was terrible in the specific way that only beginners can be terrible — enthusiastic, fast, and wrong. An older bookkeeper in our office, Mr. Ellis, took pity on me. Every Friday afternoon he would pull up the spare chair at my desk and walk me through the week’s ledgers line by line, showing me where the numbers didn’t smell right. He never did my reconciliations for me. He just made sure I learned how to see.

That is what an apprenticeship is. Somebody who knows the craft sits beside somebody who does not, and the knowledge passes hand to hand, Friday after Friday.

This week, Fortune’s CFO Daily carried a conversation that made me think of Mr. Ellis’s spare chair. BCG’s James Tucker talked about how artificial intelligence is rewriting the entry-level finance job. The old development model for junior talent — the long apprenticeship of grinding through spreadsheets, building models by hand, learning the business from the bottom of the ladder — is being absorbed by machines. CFOs, Tucker says, are not giving up on junior talent. They are giving up on the old way of growing it.

Read that carefully, because it matters. The chair is not being removed. It is being rebuilt.

For a century, the bargain of white-collar work was simple: the young did the tedious work, and in exchange, the tedious work taught them the craft. The junior analyst who spent three years building pitch books by hand emerged, eventually, as someone who understood a business in their bones. AI has broken that bargain. The machine can build the model in seconds. It can reconcile the accounts, draft the variance analysis, and summarize the 10-K before the coffee is brewed. So what, now, does the junior do on a Friday afternoon?

It’s not enough to just celebrate the efficiency, friends. We must ask who teaches the next generation to read what the numbers are really saying.

There is a real danger here, and it is not the one the headlines usually name. The danger is not that AI takes jobs — it is that AI takes the learning out of the jobs that remain. A young finance professional who never wrestled with a messy spreadsheet may never develop the instinct that tells them when the numbers are lying. Mr. Ellis could have handed me a spreadsheet template and walked away. I would have learned the formulas. I would never have learned the judgment.

But — and this is important — there is also a genuine opportunity, and this week’s news gave us a vivid example of it. An AI startup called Sapien just raised money at a $180 million valuation, in a round led by Neo’s Ali Partovi. Sapien started out building financial-planning software, but it has pivoted to something more interesting: linking operational decisions directly to financial outcomes. And it has a customer story worth hearing. Carlex, a manufacturer, believed one of its decisions had produced a $10 million gain. Sapien’s analysis showed it was actually a $2 million EBITDA drag — a $12 million swing between story and reality.

Think about that. A company telling itself a happy story, and a machine gently showing them the true one. That is not a junior analyst being replaced. That is a junior analyst being given superpowers — if the humans in charge are wise enough to use the tool for teaching rather than just cutting.

This is the fork in the road Tucker is really describing. Down one path, CFOs use AI to do the work of ten juniors with two, and the apprenticeship withers. The spare chair gets pushed back under the desk. Twenty years from now, nobody remembers how the craft is done. Down the other path, AI absorbs the drudgery and the juniors spend their Fridays on the work machines cannot do: judgment, relationships, the feel of a business. The apprenticeship gets deeper, not shallower.

Which path we take is a choice, not a destiny. And it is being made right now, in budget meetings and hiring plans, by people who may not realize they are deciding what the profession looks like in 2046.

There was a third thread in this week’s story, and it came from an unexpected place: Disney’s CFO, Hugh Johnston, speaking at the Goldman Sachs Communacopia + Technology Conference on September 9th. He said live sports is “just on fire” for customer lifetime value — that sports have become the strategic battleground where media and tech companies fight for advertising dollars. On the surface, that is a media story. But listen closer and it is a finance story too: in a world where AI can generate infinite content, the scarcest thing is the live, unscripted, communal moment — the game you must watch now, together, because it only happens once.

Do you see the rhyme? In finance, the scarce thing is becoming judgment — the human feel for when the numbers lie. In media, the scarce thing is liveness — the game that cannot be faked. In both cases, the machine does the abundant thing brilliantly, and the human does the scarce thing essentially. The future belongs to whoever understands which is which.

So here is my hope for the young people entering finance this fall, the ones who will never know the old apprenticeship: that their bosses build them a new version of Mr. Ellis’s Friday ritual. That AI takes their drudgery and returns their afternoons for deeper learning. That someone — a Tucker, a Johnston, an Ellis — sits beside them and teaches them not just the mechanics of the models, but the judgment behind them.

And here is my challenge to the CFOs: do not confuse a smaller team with a stronger one. A profession with no apprentices is a profession with no future. The juniors you develop today are the CFOs of 2046. Train them on judgment, not just on tools. Give them the messy problems, the client dinners, the 2 a.m. questions that no model can answer. Let the machine do the arithmetic. You do the mentoring.

Mr. Ellis retired years ago, but every time I open a messy set of books, I can still hear him: “Slow down. What are the numbers trying to tell you?” That is what an apprenticeship leaves behind — not a skill, but a presence. No AI can replicate it. No AI should have to. The spare chair is where the craft really lives.

Let us keep it pulled out, and keep inviting the young ones to sit down.