If you manage a team, you have probably asked some version of this question in the last year.

Copilot is built into Microsoft 365. Your organization may have already paid for it. People are being told to use AI tools to work faster and smarter. So it is a reasonable thing to wonder: if AI can write formulas, summarize data, and clean spreadsheets automatically, does it still make sense to invest time and budget in teaching your team how to do those things properly?

The honest answer is yes. But the reason has shifted in a way that most conversations about AI tools miss entirely.

Why Managers Are Questioning Excel Training Right Now

The question is coming up more often because the tools genuinely do impressive things.

A team member who does not know XLOOKUP can now describe what they need in plain language and get a working formula from Copilot in seconds. Someone who finds PivotTables confusing can ask ChatGPT to walk them through it step by step. Data that used to take an hour to clean can be handed to an AI tool and returned in minutes.

That is real. Nobody is pretending those improvements do not exist.

But here is what tends to get left out of that conversation. Every one of those AI tools is working on top of your team’s data. And if that data is inconsistently structured, if the spreadsheets your team works in have merged cells, mixed formats, hardcoded values, and no consistent logic, the AI is not going to fix the foundation. It is going to produce a polished-looking output based on broken inputs.

And if your team does not have enough foundational understanding to spot the problem, those errors will not be caught until they matter.

Can AI Replace Excel Skills at Work?

AI can help with Excel tasks, but it does not replace the Excel skills your team needs to check, structure, and trust the work.

This is the pattern that shows up consistently across departments that have rolled out AI tools without addressing the Excel foundation first.

The team starts using Copilot. Outputs look cleaner and arrive faster. For a few weeks, things feel more productive. Then a report goes to leadership with a number nobody can explain. Or a formula that Copilot wrote turns out to be pulling from the wrong range and nobody noticed for three weeks. Or a dataset that was supposed to feed a dashboard has been structured differently by three different people and the AI has been summarizing inconsistent data the entire time.

These are not hypothetical problems. They are the predictable result of layering AI tools on top of teams that never had a consistent data foundation to begin with.

The managers who saw this coming are the ones who invested in the foundation before the tools arrived. The ones dealing with it now are the ones who assumed the tools would handle it.

Why AI Makes Foundational Excel Skills More Important

There is a counterintuitive truth sitting at the center of this.

AI tools have raised the stakes on foundational Excel skills because they have removed the visible friction that used to signal a gap.

When a team member did not know how to write a formula, you could see it. They asked for help. They Googled it. It took time and the gap was visible. Now Copilot writes the formula. It looks confident and professional. And unless someone on your team can read that formula and verify it, the gap is invisible until something goes wrong.

The same applies to data structure, to PivotTable logic, to the basic discipline of keeping a dataset clean enough that analysis on top of it can be trusted.

AI has not removed the need for those skills. It has hidden what happens when they are missing. And it has given those hidden gaps a much more polished presentation.

What Excel Skills Your Team Actually Needs in 2026

Not everything in Excel carries equal weight anymore. Some tasks have genuinely been made faster and easier by AI and it would be dishonest to argue otherwise. But a few fundamentals matter more now than they ever did.

Structuring data correctly

This is the single most important foundational skill and the one most teams have never been formally taught. How data is organized determines whether everything built on top of it is reliable. Consistent headers. One data type per column. No merged cells. No totals mixed into raw data rows. This is not advanced. It takes a few hours to learn properly. And it is the difference between AI tools working reliably and AI tools producing outputs that look right but are not.

Understanding PivotTables

PivotTables are how most operational teams summarize data for weekly reporting and decision-making. Most professionals have tried them, found them confusing, and worked around them with manual methods ever since. A team that can build and read PivotTables reliably produces more consistent reports and fewer errors in the analysis that feeds decisions.

Formula literacy

The goal is not for every team member to memorize every Excel function. The goal is for them to be able to read a formula and understand what it is doing. Especially now that AI is writing formulas for them. Without that literacy, your team has no check layer. They are fully dependent on Copilot being correct every time. That is a significant operational risk.

Knowing when to question an AI output

This is the skill that is hardest to develop without a foundation and most valuable once it exists. The team member who pauses and asks where a number came from, whether a formula is pulling from the right range, whether the summary reflects what the underlying data actually shows. That person is not being slow. They are being the most valuable person in the room.

What Happens When Teams Use AI Without Excel Training?

If you have rolled out Copilot or are planning to, here is the question worth sitting with.

When your team gets an AI-generated output, who checks it? Does anyone? Do they have the foundational understanding to know what they are looking for?

If the answer is unclear, the risk is not that AI tools are unreliable. The risk is that your team has no framework to catch it when they are. And in departments where decisions get made from data, where procurement numbers, logistics reports, or operational summaries go to leadership, that matters.

The teams that are using AI most effectively right now are not the ones with the most advanced tools. They are the ones where enough people understood the data before the AI arrived.

What Structured Excel Team Training Actually Changes

The difference between informal Excel knowledge and structured team training is not just about skill level. It is about consistency.

When every person on a team has been through the same foundational program, reports come out in consistent formats. Data gets structured the same way. Formulas get built on the same logic. AI tools get used for the right tasks because people understand what the tool is actually doing.

New team members onboard faster because there is a defined baseline. And the HR manager or team lead has actual visibility into who has completed what, where the gaps are, and who needs to go further.

That is what managed team training delivers that self-directed learning never will.

Learnesy is built for exactly this model. Nordic business teams, training in Swedish and Norwegian, with an HR admin dashboard that gives managers real visibility into progress, a dedicated Customer Success Manager, and content built around real workplace scenarios rather than abstract exercises.

Learn more about how Learnesy works for teams or get in touch to talk through what a rollout would look like for your department.

Summary: Do Teams Still Need Excel Training in the Age of AI?

Yes. And here is why.

AI tools make Excel faster. They do not make Excel knowledge irrelevant. What they do is hide the gaps more effectively and give those gaps a more professional finish. The teams getting the most from Copilot and data tools right now are the ones who built a reliable foundation first.

For managers and HR leads, the investment is clear. Structured, managed Excel training before or alongside AI tool rollouts. Not instead of them.

Explore Learnesy Courses