AI Fluency Is the New Excel

In 1995, knowing Excel was a genuine competitive advantage. If you could build a model, run a pivot table, or automate a report that your colleagues were still doing by hand, you were faster, more valuable, and more promotable than the people around you.

By 2005, that had flipped. Knowing Excel was no longer an advantage. Not knowing it was a liability. It had moved from a differentiator to a baseline expectation, and the people who had not kept up were being quietly filtered out of roles that required it.

We are at exactly that inflection point with AI fluency right now. And most people have not fully reckoned with what that means.

The window is closing faster than you think.

Right now, AI fluency is still a differentiator. The people who know how to prompt well, who have built workflows that actually work, who understand what AI is good at and where it will lead you astray, they are producing better work faster than their peers. That gap is real and it is measurable.

But that window will not stay open indefinitely. The organizations that are moving fastest are already treating AI fluency as a baseline hiring expectation, not a bonus skill. The job descriptions are changing. The interview questions are changing. The performance expectations are changing. What feels like a competitive advantage today is becoming table stakes, and the timeline is shorter than most people are planning for.

The question is not whether AI fluency will become a baseline expectation. It is whether you will be ahead of that curve or behind it when it arrives.

What this means for hiring and team building

If you are a marketing leader building a team right now, the Excel analogy has a direct implication: you should be evaluating AI fluency the way you evaluate any foundational skill. Not as a nice-to-have, not as a separate "AI track," but as a core competency that you assess, develop, and hold people accountable for.

That means being specific about what AI fluency actually looks like in your context. It is not just knowing which tools exist. It is knowing how to use them to produce better strategic work. It is the judgment to know when AI output is trustworthy and when it needs to be interrogated. It is the ability to build workflows that compound over time rather than just using AI as an occasional shortcut.

The teams that will be most effective in two years are the ones being built with that standard today.

What this means for your own career

The people who got caught flat-footed by Excel were not the ones who lacked the ability to learn it. They were the ones who underestimated how quickly the expectation would shift, and who waited too long to close the gap.

The same dynamic is playing out now. AI fluency is learnable. The tools are more accessible than they have ever been. The barrier is not capability. It is urgency.

The time to build this skill is not when your organization mandates it. It is now, while it still gives you an edge, before it becomes the minimum requirement to stay in the game.