[soraki_soladead]

That outcome doesn't seem terribly likely. It's true that, like big data, deep learning is often misused. This is largely because it works well enough in the off-the-shelf case and it's "easier" due to tooling, transfer learning, and free educational materials for beginners. However, deep learning also obtains state-of-the-art in a number of tasks and domains when you know what you're doing.

I don't think your scenario is likely to occur unless something else starts outperforming deep learning (in the broadest sense) _and_ there's an approachable alternative to solve the same problems at least as well.