You seem to have the idea that the only useful thing to come out of linear algebra are a set of algorithms, and that as long as you have computer routines implementing those algorithms, the proofs that those algorithms work don't matter. There is a grain of truth in this, but the concepts that you learn in a linear algebra course - particularly around eigenvalues and eigenvectors - are very important in providing you the knowledge to choose those algorithms well. And the process of working hard to understand proofs is a great way (perhaps the best way) to make sure that you really understand those concepts. It's also a great way to make sure that you really understand what a theorem means / why a particular algorithm works.
most research is about speeding up calculations on computers
A a large amount of progress in "speeding up calculations" comes from algorithmic advances. These advances aren't being made by people who view linear algebra as nothing more than a set of library routines. They come from people who deeply understand the concepts and proofs behind the important theorems of linear algebra.