True in general but in the cloud especially, saving server resources can make a significant impact on the bottom line. There are not nearly enough performance engineers who understand how to take inefficient systems and make improvements to move towards theoretical maximum efficiency. When the system is written in an inefficient language like Python or Node, fundamentally, you have no choice but to start to move the hotpath behind FFI and drop down to a systems language. At that point your choices are basically C, C++, Rust, or Zig. Of the four choices, Zig today is already simplest to learn, with fewer footguns, easier to work with, easier to read and write, and easier to test. And you're not going to write 100k LOC of optimized hotpath code. And when you understand the cost savings involved in reducing your compute needs by sometimes more than 90% by getting the hotpath optimized, you understand that there is very much indeed a business case to learning Zig today.