There's a quiet revolution happening in spreadsheets, and it's not coming from the software giants, it's coming from people like you. The self-taught Excel user who has spent two decades mastering shortcuts, pivot tables, and Power Query quirks is now discovering that AI tools can do the heavy lifting in minutes. We think this is exactly where the conversation should start. Not with hype about replacing analysts or automating every decision, but with the simple, practical truth: AI can make your existing workflows faster, less tedious, and more accurate, if you're willing to ask better questions.
The post from u/i-like-napping captures something essential. After 20+ years of building expertise through trial and error, they've found that AI helps solve problems in Excel and Power Query, but they suspect there are simpler tools they haven't tried yet. That instinct is spot-on. The value of AI here isn't in turning you into a prompt engineer or a machine-learning expert. It's in giving you a second pair of eyes that can suggest a formula you'd never think of, clean a messy column in seconds, or explain why your Power Query step is returning nulls. For the self-taught user, this is like having a patient colleague who's seen every error message ever written, and can translate them into plain English.
But here's the nuance that often gets lost: AI won't fix a broken process; it will just help you run it faster. If your data model is a mess, a chatbot won't save you. If your Power Query steps are redundant, AI might suggest a cleaner approach, but it won't know your business context unless you teach it. That's the trade-off. The pros are obvious, time savings, reduced frustration, and the ability to tackle problems you'd normally avoid. The cons are subtler: over-reliance on generated answers without understanding the "why," and the risk of accepting a plausible-looking formula that's actually wrong for your specific data. The key is to treat AI as a collaborator, not an oracle. Use it to generate options, then apply your hard-won judgment to choose the right one.
What we find most compelling is the community aspect. When someone like u/i-like-napping asks for insights, they're not just looking for a tool recommendation. They're inviting a shared learning experience. That's the same spirit that built the Excel forums, the Power Query blogs, and the countless YouTube tutorials that have educated a generation of self-taught analysts. AI tools are just the latest addition to that ecosystem. So, if you're using them, share what works, and what doesn't. If you're skeptical, test them on a low-stakes task and see for yourself. The spreadsheet isn't going anywhere, but the way we work inside it is changing. The question isn't whether to adapt; it's how quickly you'll let yourself benefit from the tools already at your fingertips. Start with one repetitive task, ask the AI to explain its logic, and then decide if it earns a place in your workflow. You've spent two decades building expertise, there's no reason to stop now.