Treating this as a three-way fight gets you the wrong answer. Excel and Google Sheets really do compete, with different strengths. AI spreadsheet tools are a different sort of thing: a way of operating a spreadsheet rather than a replacement for one. So the comparison only helps if you're clear about which of your problems is which.
The comparison at a glance
| Excel | Google Sheets | AI layer | |
|---|---|---|---|
| Practical row ceiling | ~1M rows, slows past ~100k | 10M cells, slows past ~50k rows | Whatever the sheet underneath allows |
| Real-time collaboration | Good in the web version | Best in class | Varies by tool |
| Offline | Full desktop app | Limited | No, requires a connection |
| Formula depth | Deepest, full stats and finance set | Broad, plus QUERY and IMPORTRANGE | Writes formulas into either |
| Automation | Power Query, VBA, Office Scripts | Apps Script | Plain-English instructions |
| Charts | Most control | Adequate, fewer options | Generates from a description |
| Pivot tables | Best | Good | Not a replacement |
| Cost | Microsoft 365 subscription | Free tier, paid Workspace | Per-seat or usage-based |
Where Excel is still clearly ahead
Excel's advantage is headroom, and it shows up in particular places rather than as a general feeling of quality.
- Scale. Six-figure row counts are routine. Sheets gets sluggish well before Excel does.
- Modelling. Multi-sheet financial models with circular references, iterative calculation, scenario managers and Solver have no real equivalent anywhere else.
- Power Query. For repeatable imports and transformations, the ETL layer most teams don't realise they need. It's the strongest tool in any spreadsheet.
- Offline and local. A desktop app that works on a plane, and files that never leave your machine. In some regulated environments that settles it on its own.
- Pivot tables. Faster, more configurable, better on large source ranges.
- Ecosystem. Every finance system exports to
.xlsxfirst, and every auditor expects it.
Where Google Sheets is clearly ahead
- Simultaneous editing. Several cursors in one file, no locking, no
_FINAL_v3copies going round by email. - Sharing. A link with permissions beats an attachment, and you can revoke it.
- Version history. Granular, always on, and it shows who changed which cell. Excel's version is weaker unless files live in SharePoint.
- Live data.
IMPORTRANGE,IMPORTHTMLandGOOGLEFINANCEpull external data with no setup at all. - `QUERY`. SQL-like syntax in a cell, with nothing equivalent in Excel.
- Zero install. Any machine with a browser, including ones you don't administer.
- Apps Script. Lower barrier than VBA, and triggers that run on a schedule in the cloud rather than only while the file is open.
What an AI layer actually changes
AI doesn't make a spreadsheet calculate faster or hold more rows. It changes how much you need to know to make it do something, which matters in a narrow but very frequently hit set of situations.
| What's slowing you down | Does AI help? |
|---|---|
| "I don't know which function to use" | Yes, this is the core case |
| "This cleanup would take three hours" | Yes, bulk mechanical work |
| "I need to categorise 4,000 free-text rows" | Yes, with a review pass |
| "I don't know what to look for in this data" | Partly, good at first passes |
| "The file has 800k rows and is slow" | No, that's an engine problem |
| "Four of us need to edit at once" | No, that's a collaboration problem |
| "I need to model six financing scenarios" | No, that's judgement and structure |
Put plainly: AI shortens the distance between knowing what you want and having it in the sheet. It does nothing at all for scale, for concurrency, or for the parts of the job where someone has to decide something.
Two kinds of AI spreadsheet tool
Worth telling apart, because they fail in different ways.
Built into the suite
Microsoft 365 Copilot and Gemini in Google Sheets sit inside the product you already pay for, with your existing permissions. The trade-offs are eligibility, since they're limited to specific plans and tiers, and that you get whichever assistant your suite vendor ships.
Standalone tools that read your file
You upload or connect a workbook and work with it elsewhere. Usually more capable at multi-step work, and available whichever suite you pay for. The trade-off is that your data goes somewhere else, so retention, training policy and subprocessors are fair questions to ask before uploading anything sensitive.
Choosing, by situation
Finance and accounting
Excel as the system of record. Model depth, Power Query and auditor expectations settle it. Add an AI layer for cleanup and formula work rather than for the models themselves.
Startups and small teams
Google Sheets. Collaboration and zero setup outweigh everything else at that size, and you're unlikely to hit the row ceiling.
Analysts working alone on big files
Excel, and start planning your exit to a database. Past a few hundred thousand rows the spreadsheet is the wrong tool, whichever one you picked.
Ops and marketing teams living in exports
Sheets for the shared workspace, plus an AI layer, because the work is mostly cleaning and classifying messy exports and that's where the hours actually go.
Anyone who dreads the formula bar
The suite matters far less than the assistant. Use whatever your colleagues use and put AI on top. The friction you're feeling isn't a product-choice problem, it's a formula-writing one.
The question that settles most of it
Ask what's actually slowing you down. If it's the software (rows, speed, concurrency, a function that doesn't exist), you have a platform question and this comparison answers it. If it's you (not knowing the syntax, not having three hours for cleanup, not wanting to hand-tag 4,000 rows), the platform barely matters. Adding an AI layer to the suite you're already in will do more than switching suites ever would. The seven workflows guide is the practical version of that.
Add the AI layer to the sheet you already use
SheetAI works on your uploaded Excel and Google Sheets files. No migration, and no change to your system of record.
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