No, though s/any/many/ would make this true.
There are no hotspots. Computing has become lukewarm by default, and just like the globe, it's slowly heating up.
What problems do they prevent?
If you're able to make a program into a sort of puzzle concealing its state inside a twisty maze of tiny virtual functions so it's impossible to see plainly how anything is done, then you become indispensable as the only one who's internalized how the thing works.
And then you insist it's all for easier comprehension… for those sufficiently intelligent to comprehend it.
No it wont say something like that but if you profile Python itself and see that a lot of time is spent in Python you can get a hint that rewriting it in another language that doesn't have Python's overhead might help.
But you can only judge that for the very limited set of hardware you personally have access to. You might have many users -- or potential users -- with slower CPUs.
(ignoring projects made for fun of course)
If your program isn't slow then you don't need to bother making it any faster. Even Michael Abrash, who specializes in code optimization, once explicitly wrote in his graphics programming black book that "The objective (not always attained) in creating high-performance software is to make the software able to carry out its appointed tasks so rapidly that it responds instantaneously, as far as the user is concerned. In other words, high-performance code should ideally run so fast that any further improvement in the code would be pointless [..] Notice that the above definition most emphatically does not say anything about making the software as fast as possible".[0]
[0] https://www.jagregory.com/abrash-black-book/#understanding-h...