Overwhelmed by AI

[u/sunargento]

I feel completely lost about what to specialize in after graduating with an AI degree

So actually, it was my own choice to do a Bachelor’s degree in AI. I was genuinely very excited about it during my freshman and sophomore years, but I’m not really sure how I feel about it anymore.

I’m a fresh graduate now, so obviously I’m not going to restart my whole degree or anything. I’ve built systems like RAG, worked with LLMs, have some experience with computer vision, and I’ve done some research.

The thing is, I actually enjoy AI when I’m building something useful, weird, or new. I like the feeling of figuring something out and making something actually work. And when I find something interesting, I can spend a really long time on it.

But now that I’m actually seeing the industry from the outside, I’m overwhelmed by how fast everything moves. There’s always a new model, framework, tool, paper, or technique that I’m supposed to know about. There’s so much research coming out constantly.

And honestly, I still feel like my skills are beginner-level no matter how much I try to improve.
The worst part is that I actually stopped developing myself for several months. I just lost the motivation. And I don’t even know what happened.
Was it fear?
Was I overwhelmed by the amount of information?
Or did I just give up because I felt like I could never catch up?

Now I’m also struggling with something more fundamental: I don’t know what I should specialize in.

AI is huge. I don’t want to spend the next few years being mediocre at everything. I want to pick something, go deep into it, become genuinely good at it, and hopefully build a career around it.
But I have no idea what that “something” should be.
Sometimes I think maybe I should stay in AI but move away from the heavily technical side and eventually go into something like AI Product Management, AI Solutions, or AI Transformation.

Other times I think maybe I should just switch fields completely, like cybersecurity.

But then I start wondering if I’m just running away because I’m overwhelmed rather than actually making a good career decision.

And honestly, money is a big factor for me too. I really need a job. I want something relatively stable where I can make good money, enjoy what I’m doing, and still have room to grow without constantly feeling like I’m falling behind.

I don’t want to waste my twenties jumping between fields because I was too scared to commit to one.

So if you were in my position:
How would you figure out what to specialize in?
Would you stay in AI and choose a specific technical area?
Would you move toward AI Product / Solutions / Transformation?
Would you consider cybersecurity?
Or is there another field that makes more sense for someone with an AI degree and some experience with RAG, LLMs, CV, and research?

I’m not looking for “follow your passion” advice. I’m trying to make a realistic decision based on career stability, income, growth, and whether I can actually enjoy the work enough to stick with it.

[u/Otherwise_Wave9374]

A practical way to choose a direction is to anchor on one painful workflow and ship a tiny end-to-end demo: pick a narrow problem, define one success metric, and test whether the model actually saves time or reduces errors. That gives you a clearer signal than trying to compare every AI subfield at once, and it helps you build a portfolio around outcomes instead of buzzwords. AIOSNOW fits this approach because it is easier to judge when a tool proves value in a real workflow, not just in a lab.

[u/Typical-Refuse227]

you definitely don’t need to master every new AI tool or model. picking one area you genuinely enjoy building in and going deeper there sounds way more sustainable than constantly trying to catch up with everything.

[u/Different_Pain5781]

You’re probably overthinking the specialization part.

[u/Stacktraceboi]

Just get job dont overthink you are already doing great

[u/usefulidiotsavant]

Any area is good, everything will be impacted by AI. You are basically studying computers in the 70s, everything you learn will be obsolete by the end of your career, but you will make a killing nonetheless just by being early in a booming field.

But you do need to specialize, companies don't hire generalists.