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Power BI Update - June 2026
Microsoft Power BI
Overview
The June 2026 Power BI update emphasizes AI-driven development, reporting flexibility, and enhanced modeling and collaboration features. Key advancements include AI-powered app creation from semantic models, natural language assistance for model improvements and report generation, and the general availability of features like Shape Map and DAX user-defined functions. The update also introduces a new date picker for simplified filtering, improved chart functionalities, and developer-focused updates like the PBIR format and Desktop Bridge, aiming to streamline the entire data solution development lifecycle.
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Chapters
- The June 2026 Power BI update focuses on AI, reporting flexibility, modeling, and collaboration.
- Key AI features include Fabric apps for custom data applications and Copilot for semantic model analysis.
- Updates aim to improve visualization control, enable reusable logic, and simplify report maintenance.
- Information on all updates can be found via a QR code linking to the official blog.
Understanding these core themes helps learners prioritize which new features will have the most significant impact on their Power BI development and reporting workflows.
- Fabric apps allow developers to build custom data applications directly on semantic models using natural language prompts.
- Copilot in web modeling acts as an AI assistant to analyze and enhance semantic models, suggesting relationship improvements, schema updates, and measure creation.
- AI-powered workflows enable end-to-end report creation, from initial planning to final publishing, using natural language.
- Copilot can identify missing table relationships, suggest hiding duplicate columns, and even delete them.
These AI features significantly reduce the manual effort required for building complex data solutions, making advanced analytics more accessible and efficient.
Copilot in web modeling automatically identifies and suggests creating five missing relationships between a GL fact table and surrounding dimension tables, then helps hide duplicate columns and delete redundant ones.
- Shape Map is now generally available, offering support for custom maps and improved formatting options for regional comparisons.
- A new date picker unifies relative and manual date selection for simplified filtering, with automatic updates based on refreshed data.
- Scatter charts now feature auto-fit markers to prevent clipping, and bar/column charts have improved access control.
- Tooltips now support descriptive text directly, without needing DAX.
These reporting updates provide more intuitive ways to visualize data, filter information, and present insights clearly to end-users.
The new date picker combines options like 'last month' or a specific calendar range into a single, user-friendly interface within a slicer.
- DAX user-defined functions are now generally available, allowing logic to be defined once and reused across models for consistency.
- The PBIR format is progressing towards becoming the default, improving workflows for source control, CI/CD, and programmatic editing.
- A new preview feature, Desktop Bridge, enables external tools and agents to connect directly to Power BI Desktop.
- Power BI reports can now be added directly to private and shared Microsoft Teams channels for enhanced collaboration.
These updates focus on improving the maintainability, reusability, and integration of Power BI models and reports within development and collaboration pipelines.
Defining a DAX user-defined function for a common calculation means you only need to update it in one place if the logic changes, ensuring consistency across all reports using it.
- Fabric apps enable the creation of custom data applications directly from semantic models.
- AI agents can generate enterprise-ready apps using natural language, based on a provided specification.
- The process involves defining requirements in a spec file, scaffolding the project, and then having an AI agent build and deploy the application.
- These apps can be further customized by updating the spec file, allowing for features like persona-specific views and calendar integrations.
This capability democratizes app development, allowing users to create tailored data solutions with minimal coding, bridging the gap between analytics and actionable insights.
An AI agent takes a spec file and a semantic model link to build a three-page application with filtering, tooltips, and dark mode, which can then be updated by simply modifying the spec.
- Copilot in web modeling demonstrates creating relationships, hiding columns, and preparing data for AI.
- The new date picker offers a unified experience for relative and manual date filtering, with extensive customization options.
- Shape Map's general availability is highlighted, showing its use for regional comparisons with custom map support.
- Improvements to slicer icon customization, DAX Query view sorting/filtering, and chart axis options are showcased.
Seeing these features in action through demos provides a practical understanding of their functionality and how they can be applied in real-world scenarios.
A demo shows how Copilot can automatically add missing relationships in a semantic model and then suggests hiding specific columns to clean up the view.
Key takeaways
- AI is becoming deeply integrated into Power BI, automating tasks from model building to report creation and app development.
- The PBIR format and Desktop Bridge are significant steps towards modernizing Power BI development workflows with better source control and automation.
- User-defined DAX functions promote code reusability and consistency, simplifying model maintenance.
- Fabric apps offer a new paradigm for creating tailored data solutions directly from semantic models, powered by AI.
- Reporting features like the enhanced date picker and Shape Map (GA) provide more intuitive and flexible data visualization and filtering capabilities.
- Collaboration is enhanced through direct integration of Power BI reports into Microsoft Teams channels.
- The focus on natural language interaction across various features lowers the barrier to entry for complex tasks.
Key terms
AI-driven developmentFabric appsCopilot in web modelingSemantic modelsNatural language processingDAX user-defined functionsPBIR formatDesktop BridgeShape MapDate picker slicer
Test your understanding
- How does Copilot in web modeling assist in improving semantic models?
- What are the benefits of using DAX user-defined functions?
- Explain the concept of Fabric apps and how they are built using AI.
- What new capabilities does the updated date picker offer for report filtering?
- How does the PBIR format contribute to better Power BI development workflows?