Key takeaways
- Power BI Copilot is the AI assistant built into Power BI — it helps you create reports, write DAX, summarise and answer questions about your data.
- In 2026 it became central: agentic experiences went GA, Microsoft 365 Copilot is coming to Power BI, and data answers are GA in Microsoft Copilot Chat.
- Copilot is only as good as your semantic model — clean names, descriptions and a proper star schema are the biggest lever on quality.
- Treat it as a fast first draft: always verify DAX and summaries against your model’s grain and business logic.
Power BI Copilot has gone from a nice-to-have to a core part of how modern reports get built. With agentic experiences now generally available and Microsoft 365 Copilot arriving in Power BI, 2026 is the year Copilot became something every BI team should understand. Here is what it actually does, what you need to run it, and how to get reliable results.
What is Power BI Copilot?
Power BI Copilot is an AI assistant built directly into Power BI. Instead of clicking through menus or writing every measure by hand, you describe what you want in plain language and Copilot drafts it — a report page, a DAX measure, a written summary, or an answer to a business question. It sits on top of your semantic model and uses it as its source of truth.
What Power BI Copilot can do today
- Create report pages — describe the report you want and Copilot suggests a page with relevant visuals as a starting point.
- Write and explain DAX — draft measures from a description, explain what an existing measure does, and help fix or refactor DAX.
- Summarise a report or page — Copilot Summary turns a dashboard into a plain-language narrative of what the data shows (and can now read visuals hidden behind a display-only bookmark).
- The Copilot narrative visual — an auto-generated, always-up-to-date insight panel you drop onto the canvas.
- Answer questions in natural language — ask questions of your data, including, as of 2026, Power BI data answers in Microsoft Copilot Chat, grounded by Fabric IQ for trustworthy results.
What’s new with Copilot in 2026
- Agentic experiences are GA — AI agents can now help build and refine semantic models and reports, not just chat. (More in our guide to agentic development.)
- Microsoft 365 Copilot in Power BI (preview) — bringing Fabric IQ and Cowork actions into the Power BI experience.
- Data answers GA in Microsoft Copilot Chat — ask business questions in Copilot and get answers grounded in your governed Power BI models. See the full September 2026 update for the details.
What you need to use it
Two things matter:
- Capacity and licensing — Copilot in Power BI requires a paid Fabric or Power BI Premium capacity (there is a minimum capacity requirement). Check your tenant’s setup before you expect it to appear.
- A clean semantic model — this is the one most teams underestimate. Copilot can only be as precise as your model’s naming, descriptions, synonyms and structure. A tidy star schema with clear field names produces good Copilot output; a messy model produces confident nonsense.
How to get good results
- Invest in the model first — hide technical columns, mark your date table, add descriptions and synonyms, and name measures clearly. This is the biggest single lever on Copilot quality.
- Write specific prompts — state the grain, the comparison, and the edge cases you care about rather than “make me a measure for sales.”
- Always verify — read generated DAX for the common failure modes (wrong filter context, missing blank/zero handling, silently wrong aggregation) before it ships.
- Keep humans in the loop — Copilot is a brilliant first-drafter, not a replacement for judgment. Row-level security is respected, but correctness is still on you.
The honest limitations
Copilot can be confidently wrong, especially on DAX and nuanced business logic. It will not invent the right business question for you, and it depends entirely on the quality of the model beneath it. Used well — on a clean model, with verification — it is a genuine productivity multiplier. Used carelessly, it produces plausible answers that are subtly incorrect.
Getting Copilot-ready
The teams getting real value from Copilot are the ones who got their semantic model and governance right first. That is exactly what we help with — our Power BI in the Age of AI course teaches how to direct Copilot and agents and verify their output, and our Power BI consulting team can get your models Copilot-ready.
Source: Microsoft documentation and the Power BI What’s new updates.
Frequently Asked Questions
What is Power BI Copilot?
Power BI Copilot is an AI assistant built into Power BI that helps you create reports, write and explain DAX, summarise reports, generate narratives, and answer questions about your data in plain language.
What can Power BI Copilot do?
It can create report pages and suggest visuals from a prompt, write, explain and fix DAX measures, summarise a report or page, power the Copilot narrative visual, and answer data questions in Microsoft Copilot Chat grounded by Fabric IQ.
What do I need to use Power BI Copilot?
A paid Fabric or Power BI Premium capacity (Copilot has a minimum capacity requirement) and, just as important, a clean, well-described semantic model — Copilot is only as good as the model underneath it.
Is Power BI Copilot reliable?
It is a powerful first-draft tool, but you must verify its output — especially DAX and summaries — against your model’s grain and business logic. It respects row-level security, but correctness is still your responsibility.
How do I get better results from Power BI Copilot?
Invest in the semantic model: clear names, descriptions, synonyms and a clean star schema, plus specific prompts and a habit of verifying output. A good model is the single biggest lever on Copilot quality.
