Can CV or DS be seriously considered DSP roles?
in my opinion 

your question seems based on a combination of thoughtful reflection and possibly, pre Alzheimer’s cognitive biases. ;)

There was an article in the WSJ not too long ago , I’m outside the paywall so I can’t provide a link, that looked at IBM’s efforts using Watson at major Cancer research centers.

The conclusion was that Watson wasn’t offering much in terms of originality. It wasn’t revealing those deep unifying subtle links in the masses of data it was being feed. It tended to find what was already known.  

hard problems are still hard particularly if the way the data is represented ( labeled) isn’t relevant to what might be hidden. The threshold of what might be considered for brute force search might be advancing but NP hard hasn’t gone away.

I don’t believe I answered your question but I don’t think your question has a clear answer. 

When I was an undergrad, the EE department had just the year before my junior semester had dropped land surveying as a core requirement. skill mixes change.  not many years ago i was calculating viewsheds to estimate RF coverage. Land Surveying would have probably had some use.  

Are patterns truth?