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Is Power BI Copilot actually useful?

A practical look at where Power BI Copilot helps today and where experienced users find it slow, limited, or unreliable.

George avatar
Written by George
Updated over a month ago

💁 About this article
This article is part of Fugo’s Power BI knowledge base: a collection of resources answering common Power BI questions. We include notes throughout where Fugo’s integration may be helpful for displaying dashboards on digital signage.

Table of contents


Short answer

It depends on who you are and what you expect it to do. Power BI Copilot tends to be more useful for:

  • End users exploring data

  • Executives consuming summaries

  • Teams early in analysis

It is often frustrating for:

  • Experienced report builders

  • DAX-heavy workflows

  • Teams expecting automation of formatting or modeling work

This gap between expectations and reality is a common theme in real-world usage.


What practitioners say Copilot does well

Based on community feedback and hands-on use, Copilot is generally seen as helpful for:

  • Narrative summaries that explain charts in plain language

  • Natural language querying when models are carefully prepared

  • Generating rough report layouts for unfamiliar datasets

These features save time after the hard modeling work is done.


Where Copilot falls short in practice

Experienced users frequently report issues with:

  • DAX suggestions that are technically valid but logically wrong

  • Inability to modify or refine visuals it creates

  • Weak support for formatting, layout, and design consistency

  • Prompts taking longer to write than doing the task manually

A recurring frustration is that Copilot feels constrained compared to general-purpose AI tools, while still requiring careful supervision.


Why expectations matter so much

Copilot is branded as “AI,” but its effectiveness depends far more on:

  • Metadata quality

  • Semantic model design

  • Predefined synonyms and relationships

When those foundations are weak, Copilot’s output quickly degrades. When they’re strong, Copilot feels more like a convenience feature than intelligence.


A common pattern teams run into

Many teams:

  1. Enable Copilot

  2. Expect faster report building

  3. Discover it’s better at explaining than creating

  4. Continue building reports manually

  5. Use Copilot mainly for summaries and Q&A

That doesn’t make Copilot useless; it just makes its role narrower than marketing suggests.


Where this leaves Copilot today

Power BI Copilot currently works best as:

  • A companion to good modeling

  • A layer for explanation and exploration

  • A feature for report consumers more than creators

It is still evolving, but today it does not eliminate the need for Power BI expertise.


Power BI beyond the desktop

Copilot focuses on report creation and interpretation, not distribution.

When the goal is to share Power BI insights continuously on screens - without logins, mouse input, or manual refresh - teams typically pair Power BI with a digital signage platform like Fugo, which is designed specifically for always-on, shared display environments.

Learn more 👉 Power BI in Fugo

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