If anything it's the inverse:
Not only Moore's law has stopped working for several years now ([1]), but we have also greatly increased what we do with computers (e.g. the whole dataset of an 80s company could fit on a 1GB disk -- today we routinely need to process terabytes of data both streaming and offline -- see also 4K video, webasm vs simple websites of 1999, VR, AR, and so on).
But even if computational power increased continuously and became cheaper and cheaper it would only help if our data and processing needs remained static or increased at a significantly slower pace.
[1] https://steveblank.com/2018/09/12/the-end-of-more-the-death-...
https://www.extremetech.com/computing/256558-nvidias-ceo-dec...
https://interestingengineering.com/no-more-transistors-the-e...
Re: the "webasm vs simple websites of 1999" factor, I think that's a case of designers (and the programmers enabling them) self-inducing such problems. Most business sites don't actually need all those newfangled features and tools; plain old HTML5+CSS3 (plus maybe a little bit of JS here and there) is more than good enough.
But when it's between waiting 1 day or 1 month for your results you start caring quite a lot
We're not going to have a computer that can solve the Schrodinger Equation for a brain anytime soon.
Thankfully the changes in modern hardware architectures have triggered many runtime devs to start having another look at their compiler backends, improving vector instructions support and access to GPGPU features, instead of sticking with just good enough for CRUD apps.