Is Software Engineering Dying in 2026? (What the Data Actually Says)

0:00Junior developer job postings are down somewhere between

0:0360 and 70% since 2022.

0:06And at the same time, the Bureau of Labor Statistics is still projecting

0:11for software developers over the next decade.

0:14That's about five times the average across all industries.

0:17So which is it?

0:18Is software engineering dying or is it growing?

0:21Now both the numbers are true at the same time.

0:23And if you understand why,

0:25you'll know exactly what to focus on and what to stop wasting your time on.

0:29If software engineering isn't dying, but it is changing faster than at any

0:33point in my career,

0:34and the people getting hurt right now are mostly making the same mistake.

0:38They're optimizing

0:39for the version of this job that existed three years ago, not today.

0:42So let me break down what's actually happening.

0:45And then the four things that matter the most right now,

0:48if you want to become a software engineer, let's dive in.

0:51Okay. So what's actually happening?

0:53Well, first I want to give you the owner's picture.

0:55And I don't want to sugarcoat it here.

0:56Around 77% of professional developers now say they use AI coding tools.

1:02And these tools are genuinely good at a specific category of work.

1:06Now that's boilerplate.

1:07Simple Crud endpoints, basic bug fixing test,

1:10scaffolding, routine, front end work.

1:12You get the idea.

1:13Now, that category is exactly what junior developers used to get hired to do.

1:18It was the bottom rung of the ladder, and AI kind of just soared all of that off.

1:22Now, Stanford researchers found that employment for developers aged

1:2522 to 25 dropped nearly 20% between 2022 and mid 2025.

1:31And once we have the data for 2026, I expect that's going to be even higher

1:35now over the same period, employment for workers over 30 in

1:39AI heavy roles actually grew, so the jobs didn't disappear.

1:43They simply moved, and they actually moved up the stack away

1:47from writing routine code and towards things that AI can't do.

1:50So effectively.

1:51All of these junior jobs moved over to more

1:53AI related roles that are more for mid and senior level employees.

1:57Now, even the companies that are betting on junior

1:59developers are proving this point.

2:01IBM announced that they're tripling entry level hiring, and their reasoning is that

2:05the junior role is shifting away

2:07from routine coding towards judgment and customer facing work.

2:10So everyone on both sides of the debate here agrees on the same underlying fact.

2:15The fact is that this job is being redefined.

2:18So let's talk about what it's being redefined into.

2:21Because once you understand that, you can know how to navigate this market.

2:24So the first thing that actually matters

2:26here is owning systems instead of just writing lines of code.

2:30AI has made writing code cheap.

2:33Now this is a big deal

2:34because in the past, most of what you did as a developer was actually write code.

2:38You had to mononymously sit there writing

2:40thousands of lines of code, and your typing speed genuinely mattered.

2:44How productive you were in IDE was actually a selling point,

2:47and most junior developers spent most of their day writing boilerplate test

2:51scripts and actually just entering values into the computer.

2:54Now, at this point, that's no longer a skill that you're being hired for.

2:58However, you are still being hired for understanding a system.

3:01So knowing why the architecture is shaped the way it is.

3:04What breaks when you change something,

3:06How the pieces are talking together and what the data flow looks like.

3:10Now that knowledge is what companies are really paying for, especially now.

3:14So double down on things like system design, taking a vague requirement and

3:18turning it into components, trade offs and making decisions that you can defend.

3:23You also want to double down

3:24on debugging real systems, because when production goes down, an

3:29but a human is the one

3:30who has to diagnose this and ultimately come up with the decision.

3:33And then of course on reading code.

3:34Because honestly, right now, reading code is actually more important

3:37than writing it, especially when AI is generating so much

3:41that the bottleneck is actually how quickly you can review.

3:44So if you're c, you understand pull requests.

3:47You know how to quickly get through a code base, navigate different commits,

3:50go through various files.

3:51That is going to level you up now.

3:53Today, a senior engineer with these skills plus AI tools

3:57is shipping at multiples of what was possible just a few years ago.

4:00And that's why their employment is growing while routine coding work is shrinking.

4:05So the leverage has really moved to the people who understand the systems.

4:08And I don't want to use the same word, but understand their leverage,

4:11how they can get the most amount done with the fewest resources.

4:15Now let's talk about the second thing that matters a lot now that is using

4:19AI tools like a professional.

4:21Now there's a right way of doing this

4:22and there's absolutely a wrong way of doing this.

4:25Now the wrong version of this is vibe coding your entire job.

4:28So you accept whatever the model spits out and then you just ship it.

4:31Now that's how you end up with code bases that nobody understands.

4:34And that's what companies are already getting burned by.

4:37A bunch of junior developers

4:38coming in with vibe coding knowledge is not going to last very long.

4:42Now, the professional version of this is treating AI like a very fast

4:46junior developer.

4:47It's something that you can supervise,

4:48that can get a lot done, but that you can't implicitly trust.

4:51So you use copilot, cursor cloud code, whatever fits your stack to move quickly.

4:55But you review everything, you test everything,

4:58and you never merge code that you could not explain.

5:01Now, this is actually something employers are screening for explicitly.

5:04Now they want people who are fast with AI,

5:06but also skeptical of what it's producing.

5:08And to be clear here, being good with AI doesn't make you special in 2026,

5:13but being bad with it absolutely will filter you out.

5:16So it's no longer oh, I know how to use AI tools, so hire me.

5:19It's like you better know how to use AI tools.

5:21You're not even going to make it to the second interview.

5:23Now, the third thing I want to discuss, and honestly,

5:25one of the biggest opportunities on this list is learning to build with AI,

5:29not just alongside it.

5:30Now, using cursor to write code faster is AI helping you build software?

5:35But what I'm talking about now is software,

5:37where AI is part of the features.

5:39So apps that call language models through APIs, systems that answer

5:43questions over companies, documents, agents that automate multi-step workflows.

5:47Basically, every company right now is trying to ship AI related features,

5:51and the number of engineers who can do this

5:53well is still really, really small because it's relatively new.

5:56Now, that gap is why AI engineering roles in the United States

5:59are averaging somewhere between 100 and 70 5 to $200,000 per year,

6:04and why this has been one of the fastest growing skills in today's market.

6:08And this is not a career restart here, right?

6:10If you can already code, this AI layer is a set of learnable

6:13skills that sits on top of all of the skills you already have.

6:16So things like calling model APIs properly, prompt engineering,

6:20structured outputs, Rag vector databases, right?

6:24Actually designing systems and having agent orchestration

6:27evaluations, observability so you can tell what's actually going on.

6:31None of these things require a PhD or a heavy math or genius level IQ.

6:35This is engineering.

6:36It's easy to learn relatively if you have the right path.

6:39And these are the skills that people are getting hired,

6:41literally hundreds of thousands of dollars per year. For now.

6:44The obvious question at this point is how do you actually learn that layer,

6:47especially if that's one of the biggest opportunities,

6:49because watching videos about it, even including

6:51this one, is not going to get you there.

6:53No studies show that

6:54when you passively watch tutorials, you only retain about 20% of the material.

6:58But when you learn actively by actually writing code and building

7:02things like projects, your retention jumps to 75 to 90%.

7:06Now for a shift this important for your career.

7:08That difference is literally everything.

7:10Now that's why I partnered with Data Camp for this video.

7:13Now, I've used their platform for years to sharpen my own Python, an AI skills way

7:17before they ever sponsored any videos. So this is something

7:20I can actually recommend from my own legitimate experience.

7:23Now there are so cute!

7:24AI engineer for developers track is built for exactly what we just talked about.

7:28Someone who can already code and wants to add the AI layer fast.

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7:36like chatbots, semantic search, recommendation systems using things

7:40like OpenAI API, Lang chain hugging face, pinecone vector databases.

7:44You get the idea.

7:45Now it covers the production side as well.

7:47They have things like LM ops, which most people actually end up skipping.

7:51That goes over rate limiting

7:52API errors, structured model outputs so you can build reliable systems.

7:56And this track was actually just refreshed in July of 2026.

7:59So the content is current which really matters in this space.

8:02Now once you finish

8:03that there's an AI engineer for developers associate certification.

8:07And it's not just multiple choice.

8:09There's a four hour practical exam where you build a real working AI application.

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8:24Now, if everything in this video is telling you

8:26the is moving, this is the most direct way that I know to actually move with it.

8:31Okay, so let's move on to the fourth thing that matters, which is proof, right?

8:35In a market that's this

8:36competitive claims are worthless and evidence is literally everything.

8:40The strongest evidence is a shipped project.

8:43So either 1 or 2 projects that solve a real problem, end to end,

8:47that are deployed live with a link that someone can actually click.

8:51Now ideally this is with an AI component to connect that

8:53AI layer that we talked about, because that's

8:55what a lot of these hiring managers are scanning for and actively hiring for.

8:59The most important part here is that you build something practical

9:02that real people actually use that's deployed.

9:05If you do that, even having one project is going to be

9:08ten half assed projects that don't solve a legitimate problem.

9:11Now, if you're not looking for a job and you're already employed, the highest

9:15leverage move that you can possibly make is to become the AI person on your team.

9:19So volunteer for the AI feature that nobody else wants to own.

9:22Ship one real thing with a model that's actually inside of your current job,

9:26and have something on your resume so that you can prove

9:29you know what you're doing now.

9:30An internal move into AI work is almost always easier than landing it

9:34cold for mode side, and you get paid while you do it with pretty much zero risk

9:38and it gives you the evidence.

9:39Then go land something better at another company.

9:42I've said this many times before, but it's always easier to shift

9:45internally and then once you have the evidence, move to something better.

9:48Okay, so those are what you should worry about, but what should you skip?

9:51So first thing, stop grinding LeetCode as your entire interview strategy.

9:56Now interview prep matters.

9:57You should do a bit of leetcode, but algorithms alone are the old game, right?

10:01Yes, companies are still testing them, but they're increasingly testing

10:05practical building and your judgment instead.

10:07So stop chasing every new framework, because the framework stuff

10:11is going to change constantly and really focus more on the fundamentals.

10:14So system design, data, APIs, testing.

10:17Right.

10:18These things have never mattered more and they're not going away.

10:21Now also you want to stop doom scrolling.

10:23All of the coding is dead headlines.

10:25Now look, I'm a YouTuber. I'm guilty of doing it as well.

10:28But generally speaking, this is not something you can control

10:31unless you're going to completely change industries.

10:33You're kind of stuck going into software engineering, so all you can do is play

10:37the game to the best of your ability.

10:39Focus on what's actually changing in the industry right now, and adapt

10:43just like everyone else has for the past 30 years to land a job.

10:46I know software engineers now

10:48that have never been paid more than they have before,

10:50and that's simply because they saw this coming.

10:52They adapted and they focused on it early.

10:54One thing I can tell you 100% is that nobody cares.

10:57Nobody feels sorry for you.

10:58If you want to complain and moan and just worry about the industry,

11:02you can do that, but you're going to get left behind

11:04with all of the people who don't do that

11:05and just take the steps to actually better themselves.

11:08Software engineering is still a fantastic job.

11:10There are so many great benefits.

11:12It is one of the best jobs, in my opinion, in the world,

11:14even if we compare it to pretty much everything else.

11:17And while it has gotten more difficult to get a job, you still absolutely can.

11:21And the only way you're going to do that is by taking accountability in action.

11:24Again, it's kind of some tough love, but that's all I can say.

11:26And the people that have done that, pretty much everyone

11:29I know has been able to find something.

11:30It just took maybe a little bit longer than it did in the past.

11:33So yes, software engineering is changing.

11:35It's been changing drastically and especially now.

11:38But you know what?

11:39It's changing into system design, ownership using AI tools,

11:43the engineering layer building prove all of these things have been changing

11:47for the past 3 or 4 years, and if you've looked into them,

11:50you've been able to get into a better role where you're probably making more money

11:53than you ever had before.

11:54So I hope this video isn't dissuading you.

11:56All I'm trying to say

11:57is that there are certain things to focus on, certain things to not focus on.

12:00If you follow the guidance here, I hope that

12:02that's going to help get you back on track.

12:04Let me know what you think of the industry and all of the changes

12:06in the comments down below, and I will see you in the next one.