A somewhat controversial thought. If you graduated before ChatGPT, your degree signaled that you had to learn algorithms, programming, debugging, and software engineering largely on your own. Today, a student has access to AI that can explain concepts, generate code, debug errors, write assignments, solve LeetCode problems, and even build complete projects. The amount of independent effort required to obtain the same degree has changed dramatically. I’m not saying the degree itself is worthless. Knowledge still matters. But has the signaling value of the degree declined? If employers increasingly assume that assignments, projects, and even parts of exams may have been AI-assisted, does a CS degree still differentiate candidates the way it did just a few years ago? Today, almost every programming assignment, lab, and take home project can be completed using AI. If students can outsource ALL of their assessed work, how much does a degree still reflect their actual ability? Will hiring shift toward live coding, practical assessments, open ended system design, and demonstrated product-building ability rather than credentials? Curious how others see this. Has AI fundamentally changed what a CS degree signals to employers, or is the market overreacting? submitted by /u/Quiet_Form_2800
Originally posted by u/Quiet_Form_2800 on r/ArtificialInteligence
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