The short version
- Everyone claims Excel on their CV and nobody checks, which matters because the part that counts isn't the keystrokes.
- When researchers audited real working spreadsheets instead of asking people how good they were, the harder anyone looked the more errors they found. Asked to guess their own rate, the median answer was 10%.
- Spreadsheets aren't dying. They're the format every system can hand to every other system, and nothing has taken that job off them.
- What's going is the repetitive half. Knowing what the numbers ought to come to is the half worth paying for, and no tool does that bit for you.
In this article8
Love it or hate it, Excel is one of those skills everyone claims to be proficient in on their CV. No one checks what it even means, but it feels weird not to have it there, like people will assume you look at a spreadsheet like it's a Martian landing in your garden. So why is it so important to businesses to be proficient with Excel?
Why businesses still run on spreadsheets
It's because pretty much every business at any level uses spreadsheets in some form. Spreadsheets have been the backbone of a lot of businesses, and moving away from the spreadsheet culture is difficult when it's all some people have known since its creation.
That creation was September 1985, on the Macintosh. By May 1996 Microsoft was telling anyone who'd listen that more than 30 million people were using it, which works out at about five new users a minute for eleven years. They haven't published a number since, so nobody outside the company knows what it is now. What you can see is that forty years on, they're still building their newest AI features into the same grid.
The broadest count of what employers actually ask for was taken a while ago. Burning Glass read nearly eight million middle-skill job adverts across a single year and found spreadsheets and word processing were a baseline requirement in 78% of them. That's 2014 data, so don't read it as today.
So what has happened in the twelve years since? Two current measures point in different directions. Lightcast, which is Burning Glass under a new name, still has Excel as the second most in-demand digital skill across fifteen countries, behind Microsoft Office itself, and mentions of the 365 suite it sits inside grew 195% in a year. ITJobsWatch, which counts UK IT vacancies rather than all of them, has Excel in 2.27% of permanent ads in the six months to September 2026, down from 4.76% a year earlier, with its rank sliding from 43rd to 69th.
Both are real, and they're counting different rooms. One spans fifteen countries and is not limited to IT. The other is IT roles in Britain, where Excel was never the point of the job anyway. If you want a single number for how much the world needs Excel today, there isn't one, and anybody who hands you one has picked the room that suits them.
What Excel is actually used for
Five jobs cover most of it:
- Transferring and storing data, like contact lists or engagement rates.
- Finance modelling and forecasting.
- Reporting. The weekly numbers somebody pulls, tidies and pastes into a deck.
- Reconciliation. Two exports side by side, and the job is finding what doesn't match.
- The list that quietly became a system of record, because it was quicker than asking for a field to be added to something else.
That last one is where the trouble starts. Nobody sits down and decides to run part of the business out of a spreadsheet. It happens because the spreadsheet was already open and the alternative was a meeting. What happens to that list afterwards, and whose job it is to keep it straight, is the subject of Cleaning data: what it means, and who ends up doing it.
The three levels of Excel
On the surface, Excel is a list function with copy and pasting data from one point to another. The level above that is using Excel to interpret data, such as building graphs. The advanced level is summarizing it, which is what a pivot table does, and projecting forward from it, which is what FORECAST and TREND are for. So how do you do this? Excel has basic functions like removing duplicates or find and replace. Take it up a step and you're into VLOOKUP territory.
VLOOKUP is the clearest illustration of what proficiency means in practice. Microsoft has shipped XLOOKUP, which does the same job and will look in either direction rather than only left to right. It isn't in Excel 2016 or Excel 2019, so if you're on either of those you can't use it whatever you know about it. Knowing which function your version actually has is worth more than knowing the name of the newer one.
So what does it mean to be proficient?
Does it mean you know how to copy and paste or delete rows? How to do a formula? This is where users go wrong. High level Excel is a skill which is highly valuable to learn, and is why many people attach skilled in Excel to their CVs.
Being proficient in Excel means knowing your way round a spreadsheet and pulling data out of it. The part underneath that, and the part nobody puts on a CV because there's no name for it, is knowing what the data is supposed to say before you open the file. You're doing the job the moment you notice a total is wrong because it's roughly double last month's. You can learn the keystrokes in an afternoon. You can't learn that in one.
The people who were sure they were fine
There's a body of research on this, and it isn't comfortable reading if you've got Excel on your CV. Ray Panko at the University of Hawaii spent years collecting the results of audits on real working spreadsheets, rather than what the people who built them said about their own work.
- Working spreadsheets auditedacross seven separate audits between 1987 and 2000
- 367
- Found to contain errors, largest audit273 spreadsheets, 1992
- 11%
- Found to contain errors, most thorough auditssamples of 7, 22 and 23
- 86 to 91%
- What developers guessed for their ownmedian estimate, given before anybody checked
- 10%
The spread between those numbers is the point. The harder anybody looked, the more they found, so the honest answer to how many spreadsheets have errors in them is that it depends entirely on how hard you're willing to look.
The row worth sitting with is the last one. Asked in advance, spreadsheet developers put the odds of an error in their own work at 10%. Every audit came back above that, and the careful ones came back eight times above it. Nobody sitting in that gap thought they were the problem.
The best documented spreadsheet failure of the last decade happened in the UK, and it wasn't a skill failure either. Between 25 September and 2 October 2020, Public Health England lost 15,841 positive covid test results. The results were being passed between systems as .XLS files, the format Excel used before 2007, which stops at 65,536 rows. Everything past that row got dropped without anybody being told. Around 48,000 people who'd been in contact with a positive case were never called. Nobody involved was bad at Excel. They were pushing 2020 volumes through a file format from 2003.
So is the spreadsheet warrior dying?
No. And the evidence for that is mostly in what hasn't happened.
Spreadsheets are how your data crosses between systems that don't talk to each other. Every CRM exports to CSV. Every data provider hands you a spreadsheet. Every finance system has an export button and the thing it gives you is a grid. People still email each other spreadsheets, because it's the one format both ends can definitely open. Plenty of businesses, older ones especially, run on them outright, and not because nobody's mentioned the alternatives.
People have been predicting the end of the spreadsheet for about as long as there have been things sold to replace it, and every one of those predictions has the same shape. Gartner's is the one currently doing the rounds as proof that spreadsheets are dying: by 2026, more than 70% of finance organizations will have moved off spreadsheets as their primary planning tool. Read it again. Primary, planning, finance. It's a forecast about which tool one department opens first, for one task. And the year it names is the one we're in.
That's the pattern. Nobody counts spreadsheets and finds them gone. Somebody forecasts that the next thing will take over, the date arrives, and the grid is still there. What is actually changing is which half of the job you do by hand. The AI that's turned up in spreadsheets is good at exactly the part that was always tedious and weak at the part that was always the skill. It'll write the formula. It won't tell you the total looks wrong. And it brings a problem of its own, because a value it invented looks identical to a value it found.
So no, the warrior isn't dying. The boring half of the job is, slowly, and what's left is the half you were hired for.
A better instrument, not a replacement
This is where we come in, and it's not by telling you your skill is finished.
A spreadsheet is the right place to fix forty thousand rows in one go. What it isn't is a good place to do that same fix every month, by hand, from memory, with no record of what you changed. That's the part worth handing over, and it helps two kinds of people.
- If you are the spreadsheet warrior. You already know what needs doing. How to remove duplicates in Excel and How to merge two Excel files without copy and paste are the same jobs done in one pass, with a report of what was changed and the removed rows kept as their own file. The judgement is still yours. The ninth repetition of it isn't.
- If you never wanted to learn it. You shouldn't need VLOOKUP to get a usable list. How to clean a customer list without Excel formulas is that job without a single formula in it, and How to clean up messy column headers is the one that makes a file importable in the first place.
None of that needs a paid plan. Health Check, deduplicate, merge and clean headers are free to use, which covers everything described above. What you pay for is verifying email addresses properly and sending the result somewhere, both of which start on Starter, and the pricing page sets out where the line falls.
None of it makes anybody redundant. A tool has no idea what your numbers ought to come to, and it isn't going to work that out on its own. Somebody who knows the business still has to look at what comes back and decide whether it's right.
So put it on your CV. Everyone else does and nobody's checking. Just know that the bit worth claiming isn't the VLOOKUP, it's that you'd have spotted the total was wrong. That part isn't going anywhere, and neither is the spreadsheet, whatever gets forecast next.
Questions
Are Excel skills still worth learning?
Yes, and the reason is that spreadsheets are still how data moves between systems that do not talk to each other. Every CRM exports to CSV, every data provider delivers a spreadsheet, and the grid is the one format everybody on both ends can open. What has changed is which parts of the skill are worth your time. The repetitive work, the same find and replace every month, is increasingly done for you. Knowing what the numbers are supposed to look like, and spotting when they are not, is the part no tool has taken over, and it was always the valuable half.
What does it mean to be proficient in Excel?
Most job adverts mean formulas, lookups and pivot tables, and most CVs mean the person has used a spreadsheet before. The useful definition is different: proficiency is knowing what the data should say before you open the file, so that a wrong total looks wrong to you. The mechanics are learnable in an afternoon and are increasingly automated. The judgement is neither. If you want a test that separates the two, ask somebody to explain a number in their own spreadsheet rather than asking which functions they know.
How many spreadsheets contain errors?
It depends entirely on how hard anybody looks, which is why the quoted figures vary so much. Ray Panko's summary of the research tabulates seven field audits covering 367 working spreadsheets. The largest of them, 273 spreadsheets in 1992, found errors in 11%. Three audits that checked far more thoroughly, with samples of 7, 22 and 23, found errors in 86 to 91%. The most useful number in the whole set is not about spreadsheets at all: asked to estimate the chance their own contained an error, developers gave a median answer of 10%.
Is VLOOKUP still worth learning, or should I learn XLOOKUP?
Learn whichever one your version of Excel has. XLOOKUP is the better function, it takes a lookup array and a return array rather than a column index number, and it will look in either direction instead of only left to right. But Microsoft's own documentation says it is not available in Excel 2016 or Excel 2019, so a lot of people at work simply do not have it. Knowing which of the two you can actually use, and why, is worth more than being able to name the newer one.
Will AI replace spreadsheet skills?
It is replacing part of them. Writing a formula, reshaping a column, describing what a sheet contains: those are exactly the tasks the current tools are good at, and they are quicker than a person. What they cannot do is tell you the answer is wrong, because they have no idea what the number was supposed to be. They also introduce a risk a formula never had, which is that an invented value looks exactly like a correct one. Treat the output as a draft that somebody who knows the business still has to sign off.
Why do businesses still use spreadsheets when they have other systems?
Because the spreadsheet is the gap between the systems. Data has to get from a provider into a CRM, out of a CRM into a report, out of a finance system into a board pack, and at each of those joins the format everybody can handle is a grid. On top of that, spreadsheets are where things go that nobody has built a system for yet, and a surprising amount of a business ends up running out of one because it was quicker than asking for a new field. That is not a failure of discipline. It is what happens when the tool is good enough and available immediately.
Written by

Daniel Pank, Founder
He spent seven years leading commercial and operations teams at a B2B outbound agency, running prospecting programmes for enterprise sales teams and building the systems underneath them, including an in-house CRM and a sales data consultancy. Operelio comes from years of working with data providers, and watching good data leave one and land in a CRM in worse shape than it left.