I have encountered this pattern for a long time (5+ years). So many professionals come with an interesting domain-specific problem, and they demand using state-of-the-art deep learning models: take it or leave it.
I understand that technology advances faster than ever, but I am still missing the point. Indeed, I often propose using simpler, traditional ML models over complex ones because, for example, in an MLOps scenario is better to start with simpler models and then move to more complex ones. But, unfortunately, business experts often seem to be disappointed with such kind of proposals. Moreover, there are many reasons to prefer classic ML, which I often use to motivate the latter.