The conclusion is not good. The logical conclusion would be that if we define mathematics as 'handling abstractions in a precise manner' then programming is part of mathematics. In this case his conclusion becomes:
'learning and doing some classical parts of mathematics might play an important role in educating people who will do this another part of mathematics'
Which might be true to an extent, but this statement is very broad.
It is not a question that some amount of math is helpful. But after a while there are diminishing returns, because you simply learn different skills than what you need.
After having some very basic math knowledge the best strategy is to try to learn a lot of practical 'engineering' from very good books/courses, and only go back to math on-demand.
For example if you want to have some knowledge on machine learning or computer graphics, don't start to learn math for years first and then start learning about machine learning/3d graphics. Start to learn abut the engineering field first (take Andrew Ng's coursera class, or some equivalent in 3D graphics) and only go back to learn some linear algebra or very basic calculus after you see why it will be useful and to what degree you need it (you mostly don't need most of the theorems if you are learning the basics of these engineering fields).
Being an engineer is very different than being a mathematician. If you want to be a good engineer then mostly learn a lot from good engineers (or researchers in the engineering field) and learn some math along the way, but that will be secondary in my opinion. It's good to learn tons of math, but only if you learn even more engineering besides the math (to be a good engineer).