Any good day starts with a nice cup of poison water.

AI does not have to give a single answer to anything. This is a design choice. Artistic AIs usually give multiple answers because this is relevant in this field. Chat-GPT gives a single answer because multiple answers was deemed not relevant.

You're getting it wrong.

AI is an optimization tool. It won't be used as a search engine, but it might solve optimization problems within the search itself. For example, it could be used to search more potent nodes and alleviate the load.

AI is not a black box. We know what's inside, and we build it with specific functions and layers in mind. The people in charge of building a search engine are likely in touch with the technology.

Datasets don't necessarily need to be large. "Large" is all relative, it depends on what you actually study. Images and videos are heavy. It is filtered and augmented if the size is not sufficient.

Every search engine, by design, is biased. You just accept the bias from the current one because that's all you've ever known. You don't accept another bias because you won't read how it was built. I seriously doubt you have spent much time on the search index to find out its biases.

AI could be useful in order to classify search nodes, but a search engine, by design, needs to be quick. If there is an AI, it must be sufficiently fast, and thus sufficiently small, to run within milliseconds, multiple times for each search.

An AI may not be fit for this kind of problem. AI requires the problem to be established within a (usually) twice differentiable space because of backpropagation. A tree search problem is typically non-differentiable in nature, and derivative-based methods yield poor results. You can throw money at a dataset problem. You can't throw money at mathematics.