What If Judgment Isn’t the Most Important Skill for Finance’s AI Future?

These days, every conversation about AI in finance seems to end in the same place: the machines will do the analysis, and human judgment will matter more than ever. I’m not buying it.

Think about the worst decisions you’ve seen in your career. The product line leadership kept funding for years because killing it felt like admitting failure. The price increase that got shelved because the CEO was afraid of losing one big customer, who left anyway. None of those were made by AI. They were made by smart, experienced people with good information, exercising their judgment. Human judgment can be shaped by ego, overconfidence, incentives, and assumptions nobody has questioned in years.  It’s not perfect, and yet we treat it like the gold standard.

AI makes mistakes too, and it needs oversight. But I see no reason to assume people will always interpret information and weigh alternatives better than machines. I expect AI to beat human judgment in more business situations every year. So the real question for finance leaders is this: are we developing our people for what will matter, or defending what we’ve always valued?

We’re Very Good at What Is

Finance people are trained to understand the business as it exists. We analyze last year, model this year, and forecast next year from the same relationships between revenue, cost, and margin. That discipline keeps companies alive. But it also keeps us looking backward. Most finance teams aren’t short on talent. They’re short on time, and nearly all of it goes to closing the books, managing cash, and answering the next question from leadership, the board, or investors.

As AI takes over more of the analysis, that time comes back. The question is what we do with it. I’d argue for two capabilities finance has rarely prioritized: imagination and vision.

Better Gas Lamps

The finance function of the future won’t be defined by how well it explains the business. It will be defined by how well it helps reimagine it.

That takes a different kind of thinking. Incremental thinking makes the gas lamp brighter. Breakthrough thinking invents the light bulb. Today, most of finance’s AI efforts are incremental: closing faster, forecasting better, reporting with less effort. Those gains are worth having, but they’re better gas lamps.

The breakthrough questions are bigger. Should we sell this way, price this way, serve customers this way, or organize work this way at all? What would this business look like if we built it from scratch today? Finance is well placed to ask those questions because it sees across the entire enterprise. It just hasn’t made a habit of asking them.

AI will help generate the possibilities. Deciding which ones are worth pursuing, and getting the organization behind them, is the job.

Teaching Teams to Imagine

We spend years developing our people’s technical skill and judgment. We spend almost nothing on their imagination. Worse, when a junior analyst pitches something unconventional, our reflex is to explain why it won’t work.

Changing that doesn’t have to be a herculean effort. Take some of the hours AI saves on the close and use them for a standing conversation about where the business could be in five years. Ask everyone to bring one assumption worth killing to the next planning meeting. Put your own half-finished ideas on the table and let the team pick them apart. In other words, be intentional about creating opportunities to challenge and reimagine how your business works.

Here’s a simple test. Look at how your finance team spent last month. How many hours went to explaining what already happened? How many went to imagining what the business could become? For most of us, that second number is close to zero. AI is about to give us the time to change that. Whether we spend it building better gas lamps or something entirely new is up to us. We’ve spent decades teaching finance professionals how to evaluate the future. It’s time we taught them how to imagine it.

About Root Idea

Root Idea helps CFOs protect the business from AI risk. We work directly alongside finance teams to map AI influence, establish decision governance controls that hold up to board scrutiny, and deliver training and change management to make governance stick.

If your organization is scaling AI and governance hasn't kept pace, that's exactly the conversation we're built for. Learn more at rootidea.ai.