Agentic AI in Power BI and Fabric, Part 1: Concepts, Terminology, and How to Think About It

It has been a while since I published my last blog and YouTube video. Life got a bit busy, and to be honest, finding enough focused time became harder than I expected. But here I am, on the very last day of 2025.

I do not really see this blog as the final post of 2025. I see it more as an opening for what is coming next. In a couple of hours, we will be in 2026. Looking back, 2025 was a year full of ups and downs. Some very good moments, some sad ones too. But all in all, as Brian May from Queen once said, “The Show Must Go On”.

So let us start the next year with a topic that has been on my mind a lot recently. Agentic AI, and how it can realistically help us in Microsoft Fabric and Power BI projects.

If you like to listen to the content on the go, here is the AI generated podcast explaining everything about this blog 👇.

Why this topic needs a series, not a single blog

Before we go into any definitions, I want to explain why I am turning this into a multi-part series.

Agentic AI is a broad topic. It touches tooling, process, safety, productivity, and also mindset. Trying to cover all of this properly in a single blog post would either make it too shallow, or too long and hard to follow. Neither is useful.

So I decided to break it down into a series:

  • This first blog is about concepts and terminology
  • The next blog will cover initial setup and tools
  • The following one will focus on hands-on Power BI scenarios

This first part intentionally stays away from tools and demos. The goal is to build a solid mental foundation first.

What this series is and what it is not

Agentic AI is one of those topics where expectations can easily go in the wrong direction. So it is important to be very clear.

This series is not:

  • A story about replacing engineers, analysts, or architects
  • A full AI or machine learning theory course
  • A generic prompt list without context

This series is:

  • About improving productivity in real delivery projects
  • About assisting people, not replacing them
  • About using AI in a controlled and responsible way
  • Focused on Microsoft Fabric and Power BI implementations

If you are expecting magic or shortcuts, this series is probably not for you.

Where Agentic AI fits today in the Microsoft Fabric world

Before going further, one important clarification is needed.

At the time of writing this blog, Agentic AI is not available in the built-in Copilot experiences in Microsoft Fabric or Power BI. Copilot today is mainly a conversational assistant. It does not plan tasks, use external tools freely, or execute multi-step workflows in the way Agentic AI does.

Everything discussed in this series is about agentic setups, for example using tools like VS Code, external agents, and Model Context Protocol servers, which we will cover later in the series.

This distinction is important, otherwise expectations will be wrong from the start.

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