We are still in the exploratory phase of what features are useful or not.

I could see describing images useful for blind or vision impaired people. Publishers often have a large back catalogue of documents where it is both impractical and too costly/time consuming to get all the images in those described with alt tags. This is one area where the publishers would be considering using AI.

Text-to-speech and speech recognition also fall under the category of AI and these have proven useful for blind/visually impaired people and for people with injuries that make it difficult to use a mouse and keyboard.

On the search side it would be interesting to see if running the user's query through an encoder and using that to help find the documents would help improve finding search results. This would work like current TF-IDF (Term Frequency, Inverse Document Frequency) techniques work.