Everyone doesn't need to know SIMD. Mechanical sympathy is an important passive perk for software architects to cut down the number of reworks down the line, but I would rate benchmarking and being able to identify bottlenecks as more important everyday skills.
I'm working on a voxel space renderer homebrew for the PlayStation. I only have so many cycles to spend on rendering before it becomes a slideshow, so I count them in my hot rendering loop and parallelize work as much stuff as I can, even across memory load stalls from main RAM.
I've worked on a basic network accessory card with a STM32 MCU that is extremely overkill for what it needs to do. We haven't bothered making any performance or memory optimizations whatsoever, writing plain C++ almost as if we were on server-class hardware because we had such egregious margins.
The first question to ask is not whether something can leverage SIMD, it's whether the performance requirements are met or not (although it's far too easy to not care when it's not your hardware that's struggling...).