Unfortunately, that is not necessarily true. I found that the more concise and problem-oriented a programming language is, the more bloated, memory consuming and slow code it produces. Swift is much worse here than Rust or C++, Haskell even more so. As a rule of thumb fewer lines of code need more time and space to execute. A list comprehension in Python is powerful and reduces complex problems to one-liners, but execution of that involves tons of unnecessary operations for the machine. Given that these days much code runs in the cloud, where you pay for CPU and memory usage as you go, efficiency has become important again. Obviously it was important back in the 90s when hardware was way less powerful than what we have today.

I totally agree with you on the shortcomings of C and C++, but I also remember the reasons why C and C++ were so successful in the early PC era: machines had limited resources then and you got the most out of these using those languages.