{
“title”: “How AI Cuts Spreadsheet Work by 40-60%”,
“Text1”: “
I used to dread opening a spreadsheet. You know that sinking feeling when a financial model breaks and you spend an hour hunting for the one cell that killed everything? I’ve been there more times than I want to admit. So when I came across this breakdown from an AI professional on LinkedIn, I stopped scrolling.
The original poster shared a stat that honestly stuck with me: most people use less than 10% of what Excel can actually do. And here’s the part that should make founders pay attention. According to this expert, 63% of advanced users have already stopped doing Excel by hand. They’re not clicking through menus anymore. They’re directing AI to do the heavy lifting.
The creator described building financial models manually for hours: nested formulas, broken references, the whole painful mess. That was just a normal Tuesday in the early days. Now the same work takes minutes, if you know how to prompt it. I love that framing because it flips the whole thing on its head.
The real shift isn’t about being technical
This is the insight I think most people miss. The person who shared it makes a sharp point: the change has nothing to do with being a spreadsheet wizard. It’s about describing what you want and letting AI handle the execution.
No syntax memorization. No manual formatting. Just the outcome you actually care about.
The shift isn’t about being technical. It’s about describing what you want and letting AI handle execution.
The tools the expert actually reaches for
What I appreciated most is that this contributor named specific tools and what each one is good at. No vague hand-waving. Here’s the rundown:
- Copilot: Lives inside Excel and edits your live workbook directly. It cleans data, fixes formulas, and explains errors right on the spot.
- ChatGPT: Solid for formula generation and running full analysis on messy datasets.
- Claude: The one the author reaches for when they need VBA explained properly, step by step.
I think that last one is underrated. VBA can feel like a black box, and having something walk you through it line by line changes the game for anyone maintaining old macros.
The step-by-step method that keeps outputs accurate
This is where the post got genuinely useful. The original poster laid out a clear process for prompting AI on spreadsheet work, and each step has a reason behind it. Here’s the workflow as the expert described it:
- Ask the AI to identify your columns first. Before anything else, have it read and label what each column actually contains. This keeps every formula that follows accurate instead of guessing at your data.
- State the business outcome, not the formula. Don’t ask for a specific function. Describe the result you want, like “show me month-over-month revenue growth,” and let the AI figure out the mechanics.
- Break big asks into steps. Instead of one giant prompt that tries to do everything, split it into smaller pieces. Each step is easier to check and far less likely to go sideways.
- Verify formulas against known values. Before you trust any AI-generated formula at scale, test it against numbers you already know are correct. Catch the error on ten rows, not ten thousand.
- Never paste sensitive data into a public AI tool. Keep revenue figures and client data out of public tools. This one is non-negotiable for anyone running a real business.
What I like about this sequence is the logic. Identify the data, then aim at the outcome, then chunk the work, then verify, and always protect what’s confidential. It’s the difference between AI that saves you time and AI that quietly introduces errors you won’t catch until a board meeting.
Why this matters for founders
The mind behind this post put a number on the payoff. AI can cut spreadsheet work down by 40 to 60% in time. As the creator put it, that’s not a small edge. That’s a founder getting their week back.
That’s not a small edge. That’s a founder getting their week back.
I keep coming back to that idea. Most of us treat spreadsheets like a chore to survive. But if half the time you sink into them can disappear, that’s real hours back for the work only you can do: strategy, customers, product.
My honest take
The thing I appreciate about how this industry pro framed it is the balance. They’re clearly excited about the speed, but they built guardrails right into the advice. Verify before you trust. Protect sensitive data. Identify columns first. That’s the mark of someone who has actually been burned by a bad formula, not just hyping a shiny tool.
If you’ve been avoiding this because you think you need to be technical, the expert’s whole point is that you don’t. You just need to describe what you want clearly and check the output. That’s a skill anyone on your team can build this week.
This is only a slice of what the original poster shared. If you want the full breakdown and the reasoning behind each tip, go check out the complete LinkedIn post. And if someone on your team is still building models by hand the hard way, this is the one to send them.
”
}