@f9finance: If AI can build the dashboard in minutes, why learn Power BI at all? Who tells the AI what "revenue" means on your team? What happens when the dashboard looks right and the numbers are wrong? In one of my videos I built an AI agent on top of a Power BI model in under 10 minutes. I ran it on F9 Coffee Co., the demo company I use on the channel, and the first answer came back in 25 seconds. Then I asked what total revenue was in March. It said $1.9 million. The math was right. The number was still overstated, because one of the stores makes internal wholesale sales that have to come out before you call it revenue, and the agent had no way of knowing that. Here's where I think Power BI fits now, in 3 parts, and the 3 things I'd do about it.

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