How will this affect the programmers reading HN today in the future? For programming where high performance really matters (throughput not latency), adoption f

How will this affect the programmers reading HN today in the future? For programming where high performance really matters (throughput not latency), adoption for parallel frameworks/languages like CUDA has been a no brainer, and people have embraced the new parallel programming model. Since major speedups in consumer chips today are about adding parallelism (Intel AVX), versus the clock speedup of a decade ago and earlier... What does HN think about mainstream effects? Will there be a noticeable migration to less computationally wasteful or less sequential languages/frameworks when mainstream applications increase their hunger for compute resources? p.s. (I'm assuming that the average application's future equivalent/spawn needs more and more computational resources, either bc of more load from customers using it, or because it gets more complex and ambitious as the space of applications gets more complex in the future)