U.S. universities, led by the University of California system, are observing a shift in student preferences. For the first time since the dot-com bubble, applications for traditional computer science degrees are declining. Interest is shifting toward specialties in artificial intelligence and other emerging technologies, perceived as having greater job prospects.
Shift from Core to Ecosystem: From Fundamentals to Application Layer 🔀
This shift reflects a pragmatic view of the market. Students prioritize mastering high-level frameworks and language model APIs over delving into data structures, compilers, or operating systems. The goal is to interact with the most visible abstraction layer, the one that generates products quickly, assuming that the computational base is a commodity or a problem already solved by others.
Farewell to Binary Trees, Hello to Prompt Engineering 🤖
The logic is clear: why suffer with pointers and memory management when you can have a philosophical conversation with an API to write the code for you? Families now advise: Son, don't waste time learning to build a server. Learn to ask an already-built one to do exactly what you want. The classical programmer, with their sweat of debugging, becomes an archaeological figure.