AI for Excel and Google Sheets: Effortless Formulas, Analysis, and Reports

AI for Excel streamlines working with spreadsheets by enabling you to generate formulas from plain language requests, spot calculation errors, analyze data, and prepare reports efficiently. For many tasks, you no longer need to master complex functions or manually process hundreds of rows.

Neural networks can also be used in Google Sheets. Popular solutions include ChatGPT, Microsoft Copilot, and Google Gemini. Let's explore how these tools differ and how they can be applied in day-to-day spreadsheet work.

Which AI Tools Work Best for Excel and Google Sheets?

You don't need to install special software to work with spreadsheets and AI. Some neural networks let you upload files for analysis, while others are built directly into spreadsheet editors.

The three most useful tools are:

• ChatGPT - Upload Excel or CSV files, analyze information, generate formulas, spot trends, and create charts. Ideal for users without in-depth Excel knowledge.
• Microsoft Copilot - An AI assistant integrated into Excel. It helps create formulas, analyze data, and perform available operations right within your spreadsheet.
• Google Gemini - A smart assistant for Google Sheets, Gemini can generate formulas, assist with data processing, and create visualizations without the need to switch between apps.

The best choice depends on where your data is stored. If your spreadsheet is already open in Excel or Google Sheets, the built-in assistant is more convenient. For analyzing separate files and receiving detailed explanations, ChatGPT is a solid option.

Is it free? ChatGPT offers free access with some limitations on file handling and data analysis. Advanced features in Copilot for Excel and Gemini for Google Sheets may require a subscription. Always check your account's available features before choosing a tool.

How to Create and Fix Formulas Using AI

One of the most valuable AI features for Excel is generating formulas from plain text descriptions. Instead of searching for the right function, simply explain the result you want and specify where your data lives.

For example, say column B contains last month's revenue and column C contains the current month. To calculate the percentage change, you could ask:

Write an Excel formula that calculates the percentage change between values in cells B2 and C2. If B2 is zero, the formula should return a blank cell.

The AI would suggest:

=IF(B2=0,"",(C2-B2)/B2)

After entering the formula, set the cell to percentage format. For instance, if revenue increased from 50,000 to 60,000, the result would be 20%.

AI also supports more complex functions like VLOOKUP, SUMIFS, and IFERROR. You can ask the neural network to explain an existing formula, simplify it, or find the source of an incorrect result.

When crafting your request, specify the language of Excel and the argument delimiter. Russian-language settings often use semicolons, while English uses commas. Function names may also differ between locales.

How to Analyze Data in Excel and Google Sheets with AI

AI is useful for more than calculations-it can analyze large tables efficiently. Instead of reviewing hundreds of rows by hand, you can upload a file to ChatGPT and ask it to find patterns, compare metrics, or identify causes of changes.

For example, if a table contains sales data for several months, the neural network can calculate total revenue, identify top-selling products, and spot periods of declining sales.

For this type of analysis, try a prompt like:

Analyze the uploaded sales table. Calculate monthly revenue, find the five best-selling products, and identify months when sales decreased. Present the results in a table and briefly explain the main changes.

AI can also help you prep data for analysis: find duplicates, spot missing values, identify date format inconsistencies, and suggest ways to fix errors.

It's important to distinguish between identified patterns and their causes. For instance, the neural network may show that sales dropped in a certain month, but without more context, it can't explain why.

The quality of results depends heavily on your request's precision. The more clearly you state the required metrics, calculation conditions, and response format, the more useful your analysis will be.

Read more about crafting effective prompts in the article 10 Best Prompt Templates for ChatGPT and Claude: A Guide to Effective AI Requests.

How to Create Reports, Charts, and Pivot Tables with AI

AI helps turn raw data into clear reports without lengthy manual processing. For example, you can get a revenue summary, compare results across months, and visualize trends from a sales spreadsheet.

In Excel and Google Sheets, this involves charts and pivot tables. AI can recommend the best way to present your data, prepare calculations, and summarize key findings.

To create a report in ChatGPT, you might use a prompt like:

Based on the uploaded Excel file, prepare a sales report for the past six months. Calculate total revenue, average monthly income, and monthly sales changes. Create a line chart showing revenue trends and a pivot table by product category. Save the results in a new Excel file.

This approach is great for recurring reporting-just reuse your prompt template each month, updating only the input data.

For deeper automation, AI can assist with writing VBA macros, Office Scripts, or Google Apps Script. These allow you to refresh reports, process rows, and perform repetitive actions. However, always review generated code before running it on production files.

AI Limitations When Working with Spreadsheets

Despite its advantages, neural networks don't guarantee correct calculations. AI may suggest a flawed formula, misinterpret data formats, or draw unsupported conclusions.

To minimize issues, follow these rules:

• Check formulas. Compare AI results against manual calculations for several rows, especially with financial data.
• Monitor your source data. Empty cells, duplicates, and incorrect number formats can affect analysis accuracy.
• Keep an original copy. Always back up your spreadsheet before automated editing.
• Protect confidential information. Don't upload client data, passwords, or sensitive financial documents to services without adequate security guarantees.

Be especially vigilant with reports that inform financial or management decisions. AI speeds up data handling, but responsibility for result accuracy remains with the user.

Conclusion

AI for Excel and Google Sheets can save time on formula creation, data analysis, and reporting. ChatGPT is great for working with ready-made files and complex requests, while Microsoft Copilot and Google Gemini shine for in-spreadsheet tasks.

Start with simple operations like formula generation, error checking, and analyzing small datasets. Once you're comfortable with the results, move on to automating regular reports and tackling more advanced calculations.