When Everyone Has AI, What Becomes the Competitive Advantage?

I've been thinking about something lately.

For the past two years, the conversation has been about who is using AI and who isn't. Every software company is adding AI features. Every founder is experimenting with AI. Every finance team is looking for ways to automate reporting, forecasting, and analysis.

But I don't think that's going to be the conversation much longer.

Eventually, everyone will have AI.

That's usually what happens with technology. What starts as a competitive advantage eventually becomes a requirement. Having a website was once a competitive advantage. Cloud software was once a competitive advantage. Today, nobody talks about those things because everyone has access to them.

I think AI is heading in the same direction.

And that's what got me thinking.

What happens when every company has access to the same intelligence?

As a CFO, I don't find that idea threatening. I find it interesting. Because if every company can generate reports, reports stop being the advantage. If every company can build forecasts, forecasts stop being the advantage. If every company can ask questions and receive answers in seconds, answers stop being the advantage.

The advantage has to move somewhere else.

Over the years, I've worked with companies that had great reporting and companies that had terrible reporting. I've worked with leadership teams that had access to endless amounts of data and others that operated with surprisingly little. The thing that always stood out to me was that access to information rarely determined the outcome.

Decision-making did.

Some companies saw problems early and acted. Others saw the exact same information and waited. Some challenged assumptions. Others fell in love with them. Some used financial data to make difficult decisions before they became urgent. Others waited until the decision was made for them.

That's why I think the most overlooked part of the AI conversation has nothing to do with AI itself.

It's judgment.

Technology lowers the cost of information. It doesn't lower the cost of bad decisions.

In fact, I think AI makes judgment even more valuable. The easier it becomes to generate analysis, the easier it becomes to mistake information for insight. The easier it becomes to build forecasts, the easier it becomes to trust assumptions that should have been challenged.

I've seen forecasts that were wrong because the assumptions were wrong. I've seen dashboards that looked impressive but failed to highlight the metric that actually mattered. And I've seen leadership teams spend months debating reports instead of making decisions.

AI won't solve those problems.

Strong leadership will.

So if you're a founder or CEO thinking about AI, I believe there are a few questions worth asking.

First, are you using AI to generate more information, or to make better decisions? Those aren't always the same thing.

Second, does your team have a process for challenging assumptions? AI can provide answers, but someone still needs to ask whether those answers make sense.

Third, are you measuring what truly drives your business? More data isn't always better. Clarity is.

Finally, are you acting on insights quickly enough? In my experience, businesses rarely fail because they lack information. They fail because they saw the problem too late—or waited too long to respond.

The winners over the next decade won't be the companies with the best prompts.

They'll be the companies with the fewest blind spots.

They'll be the companies that know which metrics matter, which assumptions deserve scrutiny, and which decisions need to be made before they become obvious.

That's not a technology problem.

That's a leadership discipline.

And from where I sit, that's where finance creates the most value. Not by producing information, but by helping leaders make better decisions with it.

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Keep growing under pressure.

– Eric

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