this post was submitted on 09 Mar 2025
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So many awful takes on this topic in the comments lol. "Don't follow your passions" is just bs because they're really just saying "suffer through this major and you'll get to suffer through a career for the rest of your life."
The truth is that your major doesn't really matter. What hiring managers look for is mostly that you have a degree, and the major comes second.
I was told for YEARS that "humanities isn't worth it" and that computer science/engineering/STEM is the only thing worth it. But guess what? Massive layoffs due to AI is killing computer science and STEM grads. Businesses are putting postings out there but aren't currently hiring to maintain normalcy, etc.
For a bachelor's, just do what you want! Look at the financial aid for each school and go from there. A lot of people struggle and burn out studying something they hate and sometimes end up dropping out. It's better for everyone to educate yourself on something you're passionate about, then do a master's if you need a career change.
It's mostly engineers who make money. The actual sciences are basically a low paying career for how much knowledge it requires, and pretty much require much more than a 4-year degree to climb that ladder, or they just go into the same category as everyone in the humanities and the arts: go get a job that requires a 4-year degree but doesn't care what your major was.
Pitting STEM vs the humanities is yet another (very successful) issue used to divide us from the real class problems we should tackle together instead. I agree with you.
They are trying to kill CS with AI.
Software and Computer engineers are absolutely stupid expensive. And we're necessary, because so few people understand it, and even less want to put in the required work to do it.
Unfortunately for them, they don't understand it to the point where they inevitably push away the people they need to make use of AI tools, and cover the gaps that AI leaves.
Yeah, I've been playing around with some of the AI coding assistants as accelerators for data science projects. The one thing I've learned above all else is that this tech can speed up the process of coding, but it absolutely cannot replace computer scientists and engineers.
If you don't actually understand coding, AI will give you stuff that runs, but fucks up key details and/or doesn't actually do the thing you're asking correctly. It's hella dangerous.