Mathematics is as much of a human language as English, French, or Hindi. While the world races towards human language programming of computing systems, the mathematically inclined have a profound advantage. Fundamentally computers are big calculators. More recently the improvements in computers have been concentrated around the domain of mixed-precision matrix mathematics, enabling those literate in such mathematics to instruct computers directly in the language of linear algebra. Recent developments in sparse, hypersparse, and associative (token) array mathematics enables arbitrary programs to be expressed using small amounts of mathematics to produce programs with outstanding horizontal scaling (across compute nodes), vertical scaling (within a compute node), and longitudinal scaling (across hardware generations). In the future AI will start producing such codes to reduce the scaling, security, and maintenance challenges associated with the voluminous code bases that are now emerging from AI programming systems.