Why Copilot won’t clean up a messy Excel spreadsheet


It’s the ultimate AI delusion: the idea that a chatbot can untangle years of disorganized Excel data in seconds. In reality, messy data creates ambiguous prompts and unreliable output. Automation won’t fix broken logic; it just helps you make mistakes faster.

The “magic wand” fallacy

Your prompt won’t fix a broken schema

A messy Excel spreadsheet featuring merged headers, inconsistent column titles, a blank column header, and a floating calculation highlighted in yellow.

The big sell for modern Excel AI is that it can “understand” whatever you highlight. It’s a great story: you grab a messy range, ask a question in plain English, and wait for the magic to happen. But that only works if the spreadsheet actually makes sense to begin with. If your data is a disaster, the AI isn’t “interpreting” anything. It’s just guessing.

AI systems need a solid map to follow, and in Excel, that map is your schema. If you have merged cells everywhere, headers that don’t match, and random calculations floating in white space, the AI is going to trip. If one column is headed “Revenue,” another “Rev,” and a third is missing a header altogether, the system has no way to know they’re the same thing. Any guess it makes becomes a potential landmine for your data, so you have to nail down the logic before you can expect the software to follow it.


A laptop with Copilot+ and a cross on the Copilot logo.


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Garbage in, automated garbage out

Ambiguous prompts lead to unreliable output

An Excel dataset with mixed data types and manually entered Total rows.

We’ve all heard “garbage in, garbage out,” but AI makes the trash a lot harder to spot. In a standard Excel sheet, a broken formula usually yells at you with a #REF! or #VALUE! error, which—although annoying—at least gives you an idea that something’s not quite right. AI, on the other hand, is built to be a helpful assistant, so it will often hand you a confident answer even when the data is total nonsense.

Ambiguity is the real killer here. If you’re mixing formats, such as numbers saved as text or inconsistent currency symbols, the model has to make an educated guess before it can even start. Imagine a “Total” column that accidentally includes both individual sales and subtotals you typed in manually. If you ask an AI to sum that up, it might double-count half your sheet without a single warning. You end up with a professional-looking report that is mathematically fiction.

In short, AI doesn’t clean the mess; it simply polishes it.

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Copilot as an amplifier, not a fixer

AI accelerates spreadsheet errors at scale

An Excel spreadsheet using the Trace Precedents tool to show blue arrows pointing to a Revenue cell, while the formula bar reveals a hidden manual addition.

It’s tempting to treat AI as a shortcut to get out of the “boring” work of spreadsheet discipline. In reality, it’s a megaphone for whatever habits you already have. If your structure is sound, AI is a massive force multiplier that handles repetitive work quickly. But if your foundation is shaky, the AI merely helps you fail on a much larger scale.

A single hard-coded value hidden in a formula can end up poisoning every insight the AI generates. A poorly defined range doesn’t just skew one cell; it skews the entire automated workflow. So, rather than correcting your logic, these tools extend it. When the AI can’t give you the answer you want, it’s tempting to move the problem into a generated script or a Python block, but that only gives the mess a new place to hide.

Structure before automation

The logic must exist before the AI features

There’s a growing idea that we don’t need to be organized anymore because the machine is smart enough to handle it. That’s a trap. Data modeling is still the bedrock of a good sheet. Take an Excel table as an example. Yes, it looks good, but it’s doing much more than being good on the eye. It sets the boundaries that keep the AI on the rails. Each row needs to be a consistent record, and each column must contain a single, clear field.

Without that structure, the AI has nothing stable to grip onto. Before you touch any AI feature, the basics still matter: kill the merged cells (use Center Across Selection instead), keep your data types consistent, and use unique headers that actually describe the data. If the relationships between inputs and outputs aren’t explicit in the data itself, the AI isn’t going to find them.

Automation doesn’t fix a lack of organization; it just operates on top of the confusion.


Excel logo in front of an empty spreadsheet.


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Technical debt in the age of AI

Scripts you don’t understand become future nightmares

A screenshot of the VBA editor in Excel, showing a dense, un-commented macro generated by AI that includes a message box claiming the logic has been verified by AI.

The ultimate siren song of Excel AI is the ability to generate Python or VBA scripts to fix a broken workbook for you. On paper, it’s brilliant—let the bot write the code so you don’t have to. In practice, though, you’re racking up technical debt, trading a few minutes of manual work for a long-term maintenance nightmare.

AI-generated scripts are often hyper-specific to the way your data looks right now. The second you add a new column or rename a header, that script is likely to break. The same can be said for those situations when you copy and paste a script into another environment. If you didn’t write the code and don’t understand how it works, you can’t fix it. You’re left leaning on a system you didn’t design and can’t debug, which is a dangerous place to be when the boss is waiting for a report. The complexity hasn’t magically disappeared; it’s just moved out of sight where it can do the most damage.


The path to real productivity

I’m not saying that AI can’t be helpful in your next Excel spreadsheet. But what I am saying is that a multiplier of zero is still zero. If you feed polished chaos into the machine, you’ll just get faster, more confident mistakes every time. Clean structure and solid data modeling still come first. Only once those are in place do AI tools become reliably useful in Excel workflows.


Two hands using a laptop with the Excel logo on the screen and some icons and charts around it.


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Recent Reviews


The Samsung Keyboard supports glide typing, voice dictation, multiple languages, and deep customization through Good Lock. On paper, it’s a very capable and perfectly functional keyboard. However, it’s only when I started using it that I realized great features don’t necessarily translate to a great user experience. Here’s every problem I faced with the Samsung Keyboard, and why I’m permanently sticking with Gboard as my main Android keyboard.

I have been using Gboard and the Samsung Keyboard on a recently bought Galaxy S24, which I got at a massive discount.

Google’s voice typing doesn’t cut me off mid-sentence

Fewer corrections, fewer cutoffs, faster dictation

I might be a professional writer, but I hate typing—whether it’s on a physical keyboard or a virtual one. I type slower than I think, which I suspect is true for most people. That becomes a problem when I have multiple ideas in my head and need to get them down fast. It’s happened far too often: I start typing one idea and forget the other. Since jacking my brain into a computer isn’t an option (yet), I’ve been leaning more and more on voice typing as the fastest way to capture my thoughts.

Now, both Samsung Keyboard and Gboard support voice typing, but I’ve noticed that Gboard with Google’s voice engine is just better at transcription accuracy. It picks up on accents flawlessly and manages to output the right words. In my experience, it also seems to have a more up-to-date dictionary. When I mention a proper noun—something recently trending like a video game or a movie name—Samsung’s voice typing fails to catch it, but Google nails it.

That said, you can choose Google as your preferred voice typing engine inside Samsung Keyboard, but it’s a buggy experience. I’ve noticed that the transcription gets cut off while I’m in the middle of talking—even when I haven’t taken a long pause. This can be a real problem when I’m transcribing hands-free.

Gboard offers a more accurate glide typing experience

Google accurately maps my swipe gestures to the right words

Voice typing isn’t always possible, especially when you’re in a crowded place and want to be respectful (or secretive). At times like these, I settle for glide (or swipe) typing. It’s generally much faster than tapping on the keyboard—provided the prediction engine maps your gestures to the right word. If it doesn’t, you have to delete that word, draw that gesture again, or worse—type it out manually.

Now, both Samsung Keyboard and Gboard support glide typing, but I’ve noticed Gboard is far more accurate. That said, when I researched this online, I found a 50-50 divide—some people say Gboard is more accurate, others say Samsung is. I do have a theory on why this happens.

Before my Galaxy S24, I used a Pixel 6a, before that a Xiaomi, and before that a Nokia 6.1 Plus. All of my past smartphones came with Gboard by default. I believe Gboard learned my typing patterns over time—what word correlates to what gesture, which corrections I accept, and which ones I reject. After a decade of building up that prediction model, Gboard knows what I mean when my thumb traces a particular shape. Samsung Keyboard, on the other hand, is starting from zero on this Galaxy S24—leading to all the prediction errors. At least that’s my working theory.

There’s also the argument for muscle memory. While glide typing, you need to hit all the correct keycaps for the prediction engine to work. If you’re even off by a slight amount, the prediction model might think you meant to hit “S” instead of “W.” Now, because of my years of typing on Gboard, it’s likely that my muscle memory is optimized for its specific layout and has trouble adapting to Samsung’s.

Swiping vs typing.


Is Swiping Really Faster Than Typing on a Phone Keyboard?

Which typing method reigns supreme?

I mix three languages in one message, and Gboard just gets it

Predictive multilingual typing doesn’t get any better than this

I’m trilingual—I speak English, Hindi, and Bengali. When I’m messaging my friends and family, we’re basically code-mixing—jumping between languages in the same sentence using the Latin alphabet. Now, my friends and I have noticed that Gboard handles code-mixing much more seamlessly than Samsung Keyboard.

If you just have the English dictionary enabled, neither keyboard can guess that you’re trying to transliterate a different language into English. It’ll always try to autocorrect everything, which breaks the flow. The only way to fix this is by downloading a transliteration dictionary like Hinglish (Hindi + English) or Bangla (Latin). Both Samsung Keyboard and Gboard support these dictionaries, but the problem with Samsung Keyboard is that it can only use one dictionary at a time.

Let’s say I’m writing something in Latinized Bangla and suddenly drop a Hindi phrase. Samsung Keyboard will attempt to autocorrect those Hindi words. Gboard is more context-aware. Since my Hinglish keyboard is already installed, I don’t have to manually switch to it. Gboard can detect that I’m using a Hindi word even with the English or Bangla keyboard enabled, and it won’t try to autocorrect what I’m writing. This also works flawlessly with glide typing, which is a huge quality-of-life improvement over Samsung Keyboard.

This isn’t just an India-specific thing either. Code-mixing is how billions of people type every day—Spanglish in the US, Taglish in the Philippines, Franglais across parts of Europe and Africa.

Gboard looks good without me spending an hour on it

I don’t have time for manual customization

Samsung Keyboard is hands down the more customizable option, especially if you combine it with the Keys Cafe module inside Good Lock. You get granular control over almost every aspect of the keyboard—key colors, keycaps, gesture animations, and a whole lot more. While for some users, this is heaven, I just find it too overcomplicated and a massive time sink.

I don’t have the patience to sit and adjust every visual detail of my keyboard. Sure, it gets stale after a while, and you’d want to freshen it up, but I don’t want to spend the better part of an hour tweaking a virtual keyboard. This is where Gboard wins (at least for me) by doing less.

Android 16 brings Material 3 Expressive, which automatically themes your system apps using your wallpaper’s color scheme. With Gboard, all you have to do is change the wallpaper, and the keyboard updates to match—no Good Lock, no manual color picking. It’s a cleaner, more seamless way to keep your phone looking good without putting in the extra legwork.


The keyboard you don’t think about is the one that’s working

I didn’t switch to Gboard because Samsung Keyboard was broken. I switched because Gboard made typing feel effortless. If you’re a Samsung user who’s never tried it, it’s a free download and a five-second switch. You might not go back either.

Pixel 7 with the 8vim keyboard.


I Tried the Weirdest Android Keyboards So You Don’t Have To

Can strange layouts and gestures beat the good old-fashioned QWERTY?



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