Microsoft Copilot Has 4 Different Ways to Work With Excel

Microsoft Copilot is becoming much more useful for Excel, but the different tools can be confusing.

Here is the simplest way to think about them.

Analyst Agent

Purpose: Analyze data you attach and turn it into insights, charts, comparisons, and reports.

Think: “Here is my data. Tell me what is happening.”

Excel Agent

Purpose: Create a brand-new Excel workbook from a prompt.

Important distinction: Excel Agent lives inside the Microsoft Copilot app. You are not inside Excel when you start.

Think: “Build me a workbook.”

Copilot Inside Excel

Purpose: Work directly on the workbook you already have open. It can help with formulas, formatting, PivotTables, charts, sorting, filtering, and analysis.

Think: “Help me work on this workbook.”

Copilot Skills

Purpose: Save detailed instructions for tasks you perform repeatedly so Copilot can follow the same process again.

Think: “Do this job the same way every time.”

The big takeaway: Analyst investigates. Excel Agent creates. Copilot in Excel edits. Skills repeat.

The Rise of Disposable Software in the Age of AI

Artificial Intelligence has made it easier than ever to generate functional software in minutes. This speed and affordability have shifted the software landscape, making many apps and tools effectively disposable. Need a calculator tailored for your niche workflow? AI can spin it up in seconds. Want a customer feedback tool with specific branding? Done by lunch.

The result is a shift in the value proposition of software. Instead of investing heavily in monolithic systems, teams can iterate rapidly, discard what doesn’t work, and spin up alternatives with minimal cost. The anchoring value of software—how essential or long-lasting it feels—has dropped. We now build for the moment, not the decade.

This disposability isn't about waste; it's about agility. Software is becoming less of a product and more of a transient solution. For developers and businesses, the challenge is no longer just writing code, but making the right code at the right time, then knowing when to let it go.