Data apps are more complex than power bi reports since it is all code. Some of this is offset by AI but not all.
That said, data apps work miles better with AI than Power BI does, since it's actual code. You get better results faster and without macguyvering visuals or the model. When I tried making the same design in power bi vs data apps it took me 80% less time in the data app, and that was for something relatively simple.
I have said that data apps don't replace power bi reports, but the truth is that it does raise some uncomfortable questions about the future of reports. There are many consequences of this now being possible.
For instance, from now on, anytime someone demos a dashboard or shares a screenshot, you can't tell from looking at it whether it's a report or a fabric app unless that UI is visible or it's disclosed.
Further, if I share something for power bi, you need to know how to make it. Even with AI you can't replicate it without the config. In a data app, you give a screenshot to Claude and say "make this"- it works 98% of the time. The whole "economy" that's built up around power bi content has the potential to completely change because of that. But more importantly it means users don't have to learn the weird wizardry of power bi UI manipulation to make what they want - they can focus on real design.
For reporting where people need basics like subscriptions, export to excel, etc you should stick to power bi.
For scenarios where you want actual good visualization, though, it's not even close. The numbers favor data apps by a long shot. It is just a question of whether you can manage the step up in complexity, and what you will do if AI prices get too high down the road.
Regardless, I expect we will start seeing many cases where someone approaches their boss with something impressive they built in one hour, and decisions are made. It also has the same "five minutes to wow" of early power bi, but on steroids.