2. Developers often have a behavior pattern:
In an important turning point situation, instead of doing what is really important right now (for example, releasing a product to the market), they endlessly polish features so that it can brew coffee and launch shuttles into space. And this pattern repeats itself at every turning point. That is, the presence of such a pattern shows that in the future they will choose to keep polishing. For example, instead of releasing the product to the market when you need to capture market share, the product is polished for another 2 years while the market is lost. And the presence of this vector in the founder - "a little more polishing instead of commercially important actions" - is an important risk in a partnership when launching a business. If I see such a vector, I immediately discuss whether, in an important situation, the founder will listen to me as a marketer and partner, or will they escape into endless polishing, and whether I will have leverage in that situation.

AI sees facts and risks, and can even build a forecast (if you tell it where exactly and what kind of forecast to build, and what to pay attention to).

I look at how these facts are interconnected and what they say about the future behavior of the system. Risk predictors.
And I make a decision on how to protect myself or the business entrusted to me from these risks.

You can see in the AI's analysis more or less the same facts and risks. Except that it didn't see them until I mentioned them (and you, accordingly, didn't think to ask it). But further - will you be able to see the same forecasts as I do? Will you make the same decisions based on this information as I do? Will you see where and how to prepare for the worst?

If you have less experience than I do, you won't think to consider some of these things or ask the AI about them. And that is exactly what distinguishes an experienced expert with AI from a less experienced person with AI.