Microsoft’s Copilot for Power BI now covers more than chat-style questions about charts. As outlined in current Microsoft documentation, the assistant can create and edit report pages, summarize data, generate DAX queries, and help document semantic models—provided the organization has enabled it on eligible Fabric or Power BI capacity.
Analytics Insight this week highlighted 10 areas where Copilot can reduce the manual work involved in building and consuming Power BI content. The useful part is not that Copilot replaces report authors; it is that Microsoft has steadily moved it into the report, semantic-model, and business-user workflows where Power BI teams lose time.
For report authors, the most tangible capability is natural-language page creation. In Power BI Desktop or the service, a user can describe a desired report page or visual, then have Copilot add, alter, or remove visuals. Microsoft says the feature also supports undo and redo, which matters when an AI-generated layout needs correction rather than a full rebuild.
Copilot can also assess a report and suggest content based on the available data. That can speed up early dashboard work, but it is still dependent on a usable semantic model and sensible field names. Poorly modeled data will not become trustworthy because the prompt is written clearly.
For analysis, the assistant can produce narrative summaries of a whole report, individual pages, or selected visuals. Users can ask questions about visible report data and receive responses tied back to the relevant visuals. This makes it potentially useful for managers who need an overview without navigating every page and filter.
DAX support is another meaningful feature, though it needs careful handling. Copilot can generate DAX queries from a plain-English request, which users can review and run in the query view. Microsoft cautions that generated logic can behave unexpectedly in a different report filter context, so generated DAX should be validated before it is converted into a production measure.
The company’s current Power BI documentation also positions Copilot as a tool for summarizing semantic models and helping users explore them through DAX queries. Newer agent-oriented Power BI tooling extends natural-language work into report and semantic-model authoring, including tables, columns, relationships, measures, and DAX, although some of those developer-facing capabilities remain in preview.
The common thread is that Copilot works best as an accelerator for bounded tasks: propose a page, explain a visual, draft a query, or document a measure. It is not a substitute for data governance, model design, testing, or review of business definitions.
Admins should also review Microsoft’s setting governing whether data sent to Azure OpenAI may be processed outside the organization’s capacity geographic region, compliance boundary, or national cloud instance.
For most teams, the next step is to enable Copilot only after confirming capacity, permissions, data residency settings, and the quality of the semantic models users will query.
Analytics Insight this week highlighted 10 areas where Copilot can reduce the manual work involved in building and consuming Power BI content. The useful part is not that Copilot replaces report authors; it is that Microsoft has steadily moved it into the report, semantic-model, and business-user workflows where Power BI teams lose time.
The practical feature set
For report authors, the most tangible capability is natural-language page creation. In Power BI Desktop or the service, a user can describe a desired report page or visual, then have Copilot add, alter, or remove visuals. Microsoft says the feature also supports undo and redo, which matters when an AI-generated layout needs correction rather than a full rebuild.Copilot can also assess a report and suggest content based on the available data. That can speed up early dashboard work, but it is still dependent on a usable semantic model and sensible field names. Poorly modeled data will not become trustworthy because the prompt is written clearly.
For analysis, the assistant can produce narrative summaries of a whole report, individual pages, or selected visuals. Users can ask questions about visible report data and receive responses tied back to the relevant visuals. This makes it potentially useful for managers who need an overview without navigating every page and filter.
DAX support is another meaningful feature, though it needs careful handling. Copilot can generate DAX queries from a plain-English request, which users can review and run in the query view. Microsoft cautions that generated logic can behave unexpectedly in a different report filter context, so generated DAX should be validated before it is converted into a production measure.
Model work matters as much as the chat pane
Microsoft also supports Copilot-generated descriptions for semantic-model measures. That is a less glamorous capability than generating a chart, but it may be more valuable for shared enterprise models: descriptions are visible to report builders and make measures easier to understand and reuse.The company’s current Power BI documentation also positions Copilot as a tool for summarizing semantic models and helping users explore them through DAX queries. Newer agent-oriented Power BI tooling extends natural-language work into report and semantic-model authoring, including tables, columns, relationships, measures, and DAX, although some of those developer-facing capabilities remain in preview.
The common thread is that Copilot works best as an accelerator for bounded tasks: propose a page, explain a visual, draft a query, or document a measure. It is not a substitute for data governance, model design, testing, or review of business definitions.
The administrative catch
Copilot is not simply included with every Power BI license. Per Microsoft’s setup guidance, organizations need a paid Fabric capacity at F2 or higher or Power BI Premium capacity at P1 or higher, along with the appropriate tenant and capacity settings. Pro and Premium Per User workspaces can use Copilot through a configured Fabric Copilot capacity, but they do not directly provide the required capacity on their own.Admins should also review Microsoft’s setting governing whether data sent to Azure OpenAI may be processed outside the organization’s capacity geographic region, compliance boundary, or national cloud instance.
For most teams, the next step is to enable Copilot only after confirming capacity, permissions, data residency settings, and the quality of the semantic models users will query.
References
- Primary source: Analytics Insight
Published: 2026-07-17T03:00:00+00:00
Top 10 Microsoft Copilot Features in Power BI You Should Know
Explore Microsoft Copilot in Power BI with artificial intelligence. Learn how Copilot boosts reports, insights, and smarter decisions.www.analyticsinsight.net - Official source: learn.microsoft.com
Enable and configure Copilot in Microsoft Fabric - Microsoft Fabric | Microsoft Learn
Learn how to enable Copilot in Fabric and Power BI by configuring tenant settings, capacity settings, and workspace access for your organization.learn.microsoft.com