기술 해고와 AI: 주니어 개발자를 위한 미래 기회

기술 전문가가 진화하는 취업 시장에서 성공하려면 특정 분야에 대한 깊은 지식이 필수적입니다.

### 기술 해고에 대한 진실과 주니어 개발자로서 성공하는 방법
* 📉 최근의 기술 인력 해고는 경기 침체 때문이 아니며, **Meta나 PayPal과 같은 회사는 인원 감축에도 불구하고 상당한 수익**을 기록했습니다.
* 👶 주니어 개발자들은 코로나19 이후 과잉 고용, **Elon Musk의 비용 절감 영향력**, 심층 지식 부족, AI의 등장으로 인해 어려움을 겪고 있습니다.
* 🥦 성공하려면 주니어 개발자는 **기본기를 익히고, 한 분야에 대한 심층적인 지식을 개발**하며, **엔드투엔드 소프트웨어 엔지니어링 프로세스를 배우는 데 집중**해야 합니다.
* 🤖 AI는 해고를 가능하게 하고 수익을 증대시키는 등 **'기업의 OIC' 역할**을 하며 기술 일자리 지형을 재편하고 있습니다. 그러나 동시에 **스타트업에게는 기회**를, 거대 기술 기업에게는 **새로운 경쟁의 장**을 열어주고 있습니다.
* 🚀 "AI는 **성공적인 기술 스타트업을 만들기 위한 기준을 획기적으로 낮췄습니다**."
* 💡 사람들이 실제로 사용하는 제품을 만들면 **주니어 개발자가 가치 있는 기술을 습득**하고 잠재적으로 **수십억 달러 규모의 회사를 창업**할 수 있습니다.
* 📚 "기본기를 잘 익히는 데 많은 시간을 투자하면 **다른 모든 것이 같은 시작점을 공유**한다는 것을 알게 될 것입니다."

it's no secret that it's been harder than ever to get a job recently. There are some really scary things about the recent Tech layoffs that nobody wants to admit, but there's also an antidote, and actually there's two. I'm going to share both of them here. So the news has been plastered with tech layoffs. Every CEO keeps saying we over hired during Co, and while that might be true, it's actually not the reason for the tech layoffs. Everybody is kind of lying. Take a look at this chart here. We've got meta with -3% in headcount, but their net income is up 73%. Paypal down 9%, up 76%. People keep telling me that there's this big recession about to happen, but it seems like everybody's actually doing pretty well. So why are they firing people? So I'm going to talk about two things. One is how do I get hired now, and two is maybe I don't care to get hired, and I know that sounds strange, but just hear

me out. So there are actually four trends that are coming together that's detrimental for junior devs. One is companies did overhire during COVID, but that explains the 2022 layoffs 18 months later in 2024. That doesn't explain it. Two, Elon Musk bought Twitter, and he showed just how much fat truly is in a tech giant. Say what you about Elon Musk, but even his biggest haters can't really deny how much he's brought the operating cost of Twitter down. Three, junior devs know how to code, but they don't have deep knowledge. And four, AI knows how to code, but doesn't have deep knowledge. Let's explain what the real problem is. You have no deep knowledge. I feel like there's been no shortage of content lately about how new junior engineers have no deep knowledge, and honestly, I think that content is often promoted by people that also don't have very much deep knowledge. Deep knowledge is tricky because every 6 months I look back and realize just how clueless I was about a technology I was using 6 months

prior most people suffer from the Dunning Krueger effect. In the beginning, they learn just a little, and they're overconfident in their skills. They think they're a genius. Then when they realize how much they don't know, they lose all of their confidence, and it takes years to build it back up. I usually feel like I'm somewhere in the valley of despair. There's way more to any problem or system than you could possibly know, so try to be humble. The know-it-all types tend to always be at the peak of Mount Stupid. I tend to stay away from those people. Having said that, I do think there's a new age script Kitty phase that people tend to be going through, and the answer is simple but not fun. You have to eat your broccoli. Every year, people tell me that being a tech is tough 'cause you have to stay on top of the latest technologies. Honestly, I've never understood that. I've never had that experience. As long as you spend a lot of time learning the fundamentals well, you'll see everything.

else kind of shares the same beginnings. For example, let's say I'm learning a new programming language, and I want to learn how to write a variable. Easy enough, but not if you're a Python script kitty. 'Cause in C++, if you want to learn a variable, now you need to know static types, pointers, references, heap memory. If I'd gone the other way around, well, the Python variable would have been really easy to learn because it's just a subset of the C++ one. Usually, new technologies don't introduce a new way of doing things; they just make the old ways much easier to do. So, as long as you know your fundamentals, you're fine. And I guess this would follow up to my next point, which is learn something very well. If you don't have deep knowledge, you need to obtain deep knowledge in something. Now, I've already made videos on my recommendations of what programming languages to learn. I'm not going to talk about that here. I ultimately don't really care. Just learn one thing really, really well. Don't worry about running

after the new shiny object every 2 minutes, there's been an uptick in what I'd call Tech news recently. In YouTube and Twitter, it's always talking about the latest JS framework or you know why the new jQuery release is really important. Now I do love that content. I spend a lot of time watching that content, but I don't use it as a blueprint for what I should be doing. It's just so I can sound smart to people when I'm at parties. It has no bearing over how much money that I can make in my career. When I say learn one thing, it could be anything. It could be a tech stack if you're a full stack person. It could be one backend framework really well if you're backend. It could be the latest shiny JS framework if that's what you're into. Whatever you get the most joy from learning, just learn that. Learn anything except rust. Don't learn rust. Kidding, kidding, kidding. I just wanted to see how much of a reaction I could get. Rust fanboys, don't come to my

house now everybody's being dishonest. I think let's talk about ai's real role in all of this. So, strangely before I talk about that, let's talk about OIC. OIC has been taking the World by storm. They're not today's sponsor by the way, there's no sponsor today. OIC is a miracle drug that helps people lose weight just by taking a pill. The thing is, people aren't really being honest about when they're using it. They want to pretend like they're just getting there naturally. Now, I was reading Scott Galloway recently and he had this article that was basically explaining how AI is Corporate OIC. This is such a good article. There are a few points I want to highlight from it. Quote, one recent financial news features two stories: layoffs and record profits. A company lays off 5, 10, even 25% of its Workforce and 6 to 12 months later its operating margin hits new Heights. The ultimate peanut butter and chocolate shareholder confection is meta which produced a singular Hall of Fame quarter.

in Q4, this is actually pretty scary because it tells us what we actually feared, which is maybe our Utopia of tech jobs is over. And to some degree, I think it is in its current form. But there are two really redeeming points in this article I want to bring up. This will correctly raise concerns about a dystopia where no one can find work, but AI will ultimately create jobs. Is there will be new windows of attack against corporate Titans. The AI Revolution will inspire a golden age of startups with lower infant mortality, as there will be fewer people, i.e., less risk required to run sustainably. So basically, there's much more opportunity in startups, and there will be for the coming years. So an antidote to, if I could sum up this entire channel in one phrase, it would be build something that people actually use. I've been saying it for years, and the reason I've been saying it is teach a man to fish. I want you guys to understand that coding doesn't have to

be a cute little job where you get a nice pat on the head from Daddy meta, and possibly a paycheck if they think you're still valuable. For now, you can literally create value, and you can create it in a scalable way. You can be rewarded 1,000x for your input. Now, I get that this isn't what everybody wants to do in life, but I want you guys to be really conscious about making that decision. Imagine yourself as Aang from Airbender. I keep telling you that you're the Avatar, but you just kind of want to keep being a kid and have someone else take care of you. You have way more power in your own life. I'm trying to help you realize that if you haven't already. If you learn to fish, you'll realize you don't actually need a tech job. In fact, this could be the best time for you to start a startup. AI dramatically lowered the bar for creating a successful tech startup. If meta can use it, why can't you use it?

against them specifically with llms there's so much unlocked opportunity that people can do. And here's the thing everybody is trying to hire a senior Dev, but senior devs have just as much llm experience as you or I do because llms are so new. Even if you decide not to make a startup, if you're currently unemployed, how could building a real product that people actually enjoy hurt you even if it's just an open source project or a free product. You're going to learn the skills that make you super valuable as a senior engineer. I think the future is full of billion-dollar companies that were started because their Founders were laid off from cushy tech jobs. Right now when it comes to startups, I just launched one one year ago, and I have to admit I've learned more in one year than I did from 3 and 1 half years working at Microsoft. I'm going to give you some advice. You don't have to take it. My goal on this channel is to never be The Annoying knit all kid.

to be that kid on the Polar Express or Professor Umbridge and Harry Potter. So many people in the world say you have to do everything in a very specific way, but you don't really. You just have to find what works for you, and I'm going to share what worked for me. You need to understand the entire process of software engineering end to end if you want to actually get deep knowledge on anything. It's one thing to develop on Local Host; it's another thing to figure out how to get that product into the world, get people using it, get feedback, and iterate on it. That's what you hire senior Engineers for. You hire senior Engineers to design these systems, and then they basically just tell the junior Engineers what to code. And because you're stuck down down here, you have yet to experience the Deep knowledge you can get from owning something end to end. So there's one recurring theme that I've felt in my computer science career, and that is you can either go for the candy or the broccoli. The people that always eat the

candy never develop deep knowledge because they're just going for the new shiny thing. They don't understand the fundamentals, and the people that always go for the broccoli never build anything very interesting because they always need to build their own custom solution. They can't build off of the shoulders of other people. So you need to consume just enough broccoli that you really appreciate the candy and understand how the candy is made. My analogy fell apart, but I think you get what I mean. Now I want to employ the gentleman's agreement between you and I. If you've watched one or more of my videos before and you enjoyed it, then uh, you have to subscribe. That enables me to continue to make content for you. So I'm not going to check. It's a gentleman's agreement. Obviously, I can't check, but if you enjoy the videos, you subscribe, and I continue to make them for you. That's our Gentleman's Agreement.

The Broken Senior-Only Job Market

My name is Jason Goodison, I'm a YC founder, and I make Youtube videos.

LinkedIn: https://www.linkedin.com/in/jasonlevigoodison/


Jason Goodison

기술직 해고와 구직에 대한 진실

기업의 긍정적인 재무 성과에도 불구하고 기술 인력 해고가 발생하고 있으며, 이는 과잉 채용, 비용 절감 노력, 주니어 개발자의 심층 지식 부족 등 여러 요인으로 인해 발생하고 있습니다.

구직자들은 최신 기술을 쫓기보다는 깊이 있는 지식을 쌓고 겸손한 자세를 유지하는 데 집중해야 합니다.

기술 업계에서 성공하고 구직의 어려움을 극복하기 위해서는 기본을 익히는 것이 중요합니다.

학습 프로그래밍에서 심층 지식의 중요성

새로운 기술은 기존 개념을 기반으로 하는 경우가 많기 때문에 프로그래밍의 기초를 배우는 것은 매우 중요합니다.

끊임없이 새로운 트렌드를 쫓기보다는 한 가지에 대한 깊은 이해를 쌓는 것이 중요합니다.

끊임없이 전환하는 것보다 특정 기술 스택이나 프레임워크를 숙달하는 데 집중하는 것이 경력 성장에 더 유리합니다.

AI는 해고를 유발하지만 기업에게는 기록적인 수익을 창출하는 등 그 영향력에서 OIC 약물에 비유되기도 합니다.

AI의 사용은 전통적인 기술 일자리에 대한 잠재적 위협으로 여겨지지만, 특히 스타트업 부문에서 새로운 기회를 창출할 것으로 기대되기도 합니다.

스콧 갤러웨이의 글은 일자리를 잃을 수 있는 디스토피아에 대한 우려와 함께 AI 혁명으로 인한 스타트업의 황금기가 도래할 수 있다는 가능성을 강조합니다.

기술 업계에서 성공하기 위한 역량 강화

기술 산업은 스타트업이든 독립 프로젝트이든 가치를 창출하고 성공을 거둘 수 있는 확장 가능한 기회를 제공합니다.

시니어 개발자에 대한 수요와 AI의 잠재력은 중저급 경력을 활용하기에 유리한 환경을 제공합니다.

실제 제품을 만들고 기술을 습득하면 기존 기술 직종에서 배우는 경험을 뛰어넘는 소중한 기회를 얻을 수 있습니다.

소프트웨어 엔지니어링 분야에서의 진로 찾기

소프트웨어 엔지니어링의 엔드투엔드 프로세스를 이해하는 것은 심도 있는 지식을 위해 매우 중요합니다.

시니어 엔지니어는 시스템을 설계하고 주니어 엔지니어를 지도하기 위해 고용되지만, 프로젝트를 처음부터 끝까지 소유하면 고유한 통찰력을 얻을 수 있습니다.

새로운 기술을 탐구하는 것과 기본을 이해하는 것 사이의 균형을 맞추는 것이 심도 있는 지식을 개발하는 데 핵심입니다.