I think the breakthroughs in AI have largely happened now as we're reaching a slowndown and an adoption phase
The research has been stagnating. Video with temporal consistency doesn't want to come, voice is still perceptibly non-human, openai is assembling 5 models in a trenchcoat to make gpt do images and it passing as progress, ...
Companies and people are adopting what is already there for new applications, it's getting more common to see neural network models in lots of solutions where the tech adds good value and is applicable, but the models aren't breaking new grounds like in 2021 anymore
The only new fundamental developments i can recall in the core technology is the push for smaller models trainable on way less data and that can be specialized for certain applications. Far away from the shock we all got when AI suddenly learned to draw a picture from a prompt