Microsoft has expanded Copilot in Power BI with the ability to create entire report pages, write DAX queries, and document data models using natural language, according to a detailed analysis by Analytics Insight on July 17, 2026. The AI assistant now functions as a report authoring tool, not just a chatbot, but organizations will need a costly Fabric or Premium capacity license to enable it.
New Copilot Capabilities Go Beyond Chat
Gone are the days when Copilot in Power BI simply answered questions about existing charts. Today, report authors can describe a desired page—such as “create a sales report with monthly revenue, profit, and regional performance”—and Copilot will generate a fully laid-out page with suitable visuals. The feature works in both Power BI Desktop and the online service, and Microsoft has thoughtfully included undo and redo support, so you can tweak the AI’s output without starting from scratch.
Copilot can also examine a dataset and proactively suggest content. In the early stages of building a dashboard, that accelerates the process, but the quality depends entirely on a well-structured semantic model and meaningful field names. If the underlying data is a mess, the AI will not magically fix it.
For analysis, Copilot can produce narrative summaries of an entire report, a single page, or even a selected visual. Business users can type a question like “Which product sold the most last quarter?” and the assistant answers by highlighting the relevant visual, not by dumping raw numbers. This is a major time-saver for managers who need a quick overview without drilling into every filter and chart.
DAX and Model Work: The Quiet Power Moves
Among the most impactful—yet least flashy—features is DAX query generation. Instead of wrestling with syntax, a user can describe a calculation in plain English, and Copilot produces the DAX code. Microsoft warns, however, that the generated logic might behave unexpectedly in a different filter context, so every query must be reviewed before it becomes a production measure. Copilot also explains what the formula does, which doubles as a learning tool for those new to DAX.
On the model side, Copilot can automatically generate descriptions for measures and calculated columns. These descriptions appear to report builders and make it far easier to understand and reuse shared enterprise models. Microsoft is also rolling out preview features that let users edit semantic models—creating tables, columns, relationships, and measures—simply by typing what they want. These capabilities, while still in preview, point to a future where AI handles much of the tedious modeling grunt work.
Analytics Insight’s roundup highlighted ten areas where Copilot can reduce manual effort, but the common thread is straightforward: the assistant works best as an accelerator for bounded tasks. Propose a page, explain a visual, draft a query, document a measure. It is not a substitute for data governance, model design, or rigorous testing of business definitions.
Who Gains the Most—and What's the Catch
For report authors, the most immediate win is speed. Natural-language page creation and automatic content suggestions can shrink the time from concept to first draft from hours to minutes. However, the output still requires a human eye. AI-generated charts might misunderstand the dataset’s grain or pick an inappropriate visualization, so every page needs validation before sharing.
Business users get a more conversational interface. The ability to ask questions in everyday language and receive explanations tied to visuals makes data exploration less intimidating. Copilot can also highlight trends and anomalies without manual digging, which means faster reactions to business changes.
Developers and BI professionals benefit from the DAX and model documentation tools. Writing measure descriptions used to be a chore that many skipped; now it happens automatically. The DAX explanation feature is a genuine learning aid, though pros will still want to stress-test the logic before trusting it.
IT administrators, however, face a critical gatekeeping task. Copilot is not included with every Power BI license. Organizations must have a paid Fabric capacity (F2 or higher) or Power BI Premium capacity (P1 or higher). Even Pro and Premium Per User workspaces can only use Copilot if they are backed by a configured Fabric Copilot capacity—the standalone PPU license alone does not suffice.
Beyond licensing, there is a data residency setting that admins must review. Microsoft’s documentation acknowledges that data sent to Azure OpenAI may be processed outside the organization’s capacity geographic region, compliance boundary, or national cloud instance. For regulated industries, this requires careful evaluation before enabling the feature.
The Road to AI-Assisted Authoring
Copilot’s journey in Power BI has been one of steady expansion. Initially limited to a chat pane that could answer questions about existing visuals, it later added natural-language DAX suggestions. The current wave, as documented on July 17, 2026, represents a leap: the assistant now participates in the creative and structural sides of report building. Microsoft is clearly aiming to embed Copilot across the entire Power BI workflow—from initial page design to semantic model editing to narrative summaries.
Under the hood, these improvements rely on better context awareness. Microsoft says Copilot now studies a report’s structure before it analyzes the underlying data model, leading to more accurate recommendations. This sequence is important because it helps the AI understand the user’s intent within the specific visual and filter context of a report.
How to Get Started with Copilot in Power BI
Before anyone in your organization clicks “enable,” run through this checklist:
- Check your capacity. Verify that you have an active F2 or higher Fabric capacity (or P1 or higher Premium capacity). Without this, Copilot will not light up.
- Configure tenant settings. In the Fabric admin portal, ensure that Copilot is enabled for the relevant capacities and workspaces. Review Microsoft’s step-by-step guide on enabling Copilot in Fabric.
- Review data residency. Locate the setting that controls whether data can be processed outside your capacity’s geographic region. Document this decision with your compliance team.
- Audit your semantic models. Copilot can only work with what it sees. Clean, well-named tables and measures yield far better results. Spend time now to improve your models.
- Start small. Pick a bounded task—like generating measure descriptions or building a single report page—and test the output thoroughly. Use the undo/redo feature liberally.
- Educate users. Make it clear that Copilot accelerates work but does not replace data validation. Every DAX query and report page must be reviewed before it goes into production.
For most teams, the playbook is: enable only after confirming capacity, permissions, and model quality. Rolling it out without those guardrails invites confusion and mistrust.
What's Next for Copilot in Fabric
Microsoft’s roadmap points toward deeper integration of AI agents across Fabric. Preview features already let users edit semantic models through natural language, and the company is investing in AI-powered report authoring that assists at every stage—planning, building, validating, and publishing. Expect Copilot to become a persistent co-author in Power BI Desktop, not just a side panel. The long-term bet is that routine BI tasks will become conversational, leaving humans free to focus on strategy and interpretation. But that future depends on getting the foundation right: clean data, clear governance, and a healthy skepticism of AI outputs.