Will AI Replace Software Engineers? What CS Students Need to Know in 2026

TL;DR

• Will AI replace software engineers? Not overall: BLS projects software developer jobs to grow 10% from 2025 to 2035. But entry-level hiring is shrinking, and developers aged 22 to 25 are taking most of the hit.

• AI already handles the routine code, tests and bug fixes juniors used to learn on.

• Code-to-spec roles like computer programmer (projected -7%) are shrinking, while review, design and ownership roles keep growing.

• The move for students now: prove you can review, test and ship real software, with AI tools, for a real user.

Externships are short, remote professional experience programs where you work on real projects for real companies, with guidance from people in the field. The SQL & Database Architecture Externship with Breaking Games, the Wayfair n8n AI Agent Engineering Externship and the Pfizer Document Insights & Data Extraction Externship let you build and ship work for a company that will actually use it. Explore all Externships.

Will AI Replace Software Engineers?

No, not as a profession. AI is replacing a specific slice of the work: routine code written to a spec, simple fixes and boilerplate tests. That slice used to be how new grads got started, so the field keeps growing while the entry door gets narrower. Our verdict for 2026: shrinking at entry level.

The Short Answer

Software engineering is still a growing field in 2026, but the entry level is shrinking. The Bureau of Labor Statistics projects 10% growth for software developers from 2025 to 2035, with a median pay of $135,980 in May 2025. At the same time, software has the lowest share of entry-level postings of any sector.

Having sat down with thousands of students one-on-one, we hear this question from CS majors more than almost any other. Usually it's not "will my job exist?" It's "will anyone hire me first?" That second question is the right one, and it's what this guide answers.

If you're weighing fields more broadly, our guide to jobs AI won't replace covers the safest careers across industries. Here we stay inside software.

The AI Exposure Scorecard for Software Engineering

We score every field in this series on the same five rows. BLS rates software developers "Very high" on its new AI exposure scale, published in August 2026. That sounds scary.

But BLS itself says exposure doesn't mean job loss, and the outlook row shows why.

Read the scorecard top to bottom and the story is consistent: lots of AI in the work, lots of jobs overall, very few doors for beginners.

What Parts of Software Engineering Is AI Already Doing?

AI already handles a real chunk of day-to-day coding: drafting new code, fixing bugs, writing tests and building simple web pages. What it doesn't do is decide what to build or take responsibility when something breaks. Here's the split, task by task.

The Task Table: What AI Does vs What a Person Still Owns

Notice the pattern in the right-hand column: every row ends with a judgment call. AI produces the draft; a person decides whether it's right.

The Anthropic Economic Index report from January 2026 backs this up from the usage side. Computer and math tasks made up about a third of Claude.ai conversations in November 2025, and the single most common task was modifying software to fix errors, at 6% of all usage.

What Google Says About AI-Written Code

Google is the clearest public example of AI writing production code. In April 2026, Google said about 75% of its new code is now AI-generated and then reviewed and approved by engineers, as reported by The Decoder. That's up from about 25% in October 2024.

Two cautions. That figure is Google's own new code, not all code everywhere. And Google hasn't said how it counts "generated," which may include accepted autocomplete suggestions. Still, the direction is obvious: engineers there are moving toward overseeing AI agents rather than typing every line.

The Catch Developers Keep Hitting

AI tools are everywhere, but trust is low. In the Stack Overflow 2025 Developer Survey, 84% of developers said they use or plan to use AI tools, and 50.6% of professional developers use them daily.

Yet 66% named "almost right" output as their top frustration, and 46% said they distrust the accuracy of AI tools.

Speed is murkier than the hype suggests. A 2025 METR study of 16 experienced open-source developers found they were 19% slower with AI on their own mature projects, even though they believed they'd been about 20% faster. METR now marks that study as out of date, and its February 2026 update calls its newer numbers unreliable.

So we wouldn't say AI makes developers slower. We'd say feeling faster and being faster aren't the same thing.

What Does the Job Data Actually Say?

The job data says two things at once. Software employment overall is still projected to grow, and postings are recovering. But almost all of that recovery is going to experienced engineers, and young developers are the group falling behind.

The Big Picture: Still Growing

According to the BLS Occupational Outlook Handbook, software developer jobs should grow from about 1.72 million in 2025 to about 1.89 million in 2035. That's roughly three times the average for all occupations in this BLS cycle.

The exception is computer programmers. BLS projects them to shrink 7% over the same decade, and its programmer profile says companies are expected to use technologies including AI to automate repetitive programming tasks. That's about as direct as an official statistics agency gets.

Postings are climbing back, too. Indeed's software development postings index stood at 80.8 on October 23, 2026, per FRED. That's up about 23% from a year earlier, though still well below February 2020 (100) and nowhere near the 2022 peak.

And economy-wide, the Yale Budget Lab still finds no clear AI footprint in overall employment as of its October 2026 update. Big picture: no collapse.

The Entry-Level Squeeze

Here's where it gets uncomfortable.

The evidence lines up from several directions:

• Postings tilt senior. Software development had the highest senior share of postings (69.3%) and the lowest entry-level share (4.5%) of any sector in Q1 2026, according to Indeed Hiring Lab.

• Young developers are falling behind. Stanford's Digital Economy Lab found that employment of 22-to-25-year-olds in AI-exposed occupations is about 19% below where it would be if it had kept pace with less exposed peers (ADP payroll data through June 2026). Software developers are one of the paper's named case studies. The authors are clear that this is a pattern, not proof that AI caused it.

• Big Tech hires fewer grads. SignalFire's 2025 talent report found new grads made up 7% of Big Tech hires, with new-grad hiring down 25% from 2023 and more than half from 2019.

• CS grads feel it. In the New York Fed's data on 2024 recent graduates, computer engineering had 7.8% unemployment (second highest of 74 majors) and computer science 7.0% (fourth).

But that NY Fed data has a silver lining. Underemployment for CS grads is low (19.1%) and the early-career median wage is $87,000. Hard to get in, well placed once you're in.

Is AI the only reason? No. Indeed's software index peaked in February 2022, before ChatGPT existed, and the Stanford team says part of the earlier decline came from non-AI factors like the post-2022 hiring correction. Our computer science job market guide goes deeper on those other forces.

Honestly, nobody can yet say how much of the squeeze is AI and how much is the hangover from 2022's hiring binge. The research doesn't settle it, and we won't pretend it does.

From Extern's Data

From Extern's data (as of November 1, 2026):

• In US job-posting counts Extern tracks daily (Adzuna, July to October 2026), live "software engineer" postings went from about 139,000 to about 174,000, and "full stack developer" postings from about 12,500 to about 13,500.

• The employers posting the most software internships in Extern's posting tracker (August to November 2026) were Raytheon, Lockheed Martin, Tesla, L3Harris and Nvidia. These are employers in the market, not Extern partners.

• Across 36 software internship listings with employer-published pay, the median was $51.15 an hour.

So overall demand is rising in our numbers too. The squeeze isn't "no jobs." It's "no jobs for people who can't show they've done the work."

Which Software Jobs Are Safest, and Which Are Most at Risk?

The safest software roles involve deciding what to build, defending systems or inventing new methods. The most exposed roles turn written specs into code, generate standard web pages or write routine tests. Here's how six roles compare.

The Role Table

All four core software occupations land in BLS's "Very high" exposure group, so the category alone won't tell you much. The outlook column does. Programmers shrink, developers grow, and security and research roles grow fastest.

The Pattern

Writing code to a spec is shrinking; deciding what to build, reviewing it and owning the result keeps growing. That's the one line to remember. BLS says it outright for programmers, and the Stanford research points the same way: declines show up where AI substitutes for tasks, while jobs where AI complements workers hold steady.

Security is the interesting outlier. It's highly exposed and still one of the fastest-growing jobs in tech. We dig into why in our sibling guide on whether AI will replace cybersecurity jobs. And if you're still choosing a major, our list of the best-paying AI-proof majors puts computer science in context with other options.

How Is AI Changing Entry-Level Software Work?

The first year of a software career used to be built on small, safe tasks: boilerplate, minor bug fixes, tests and code migrations. AI now does those tasks well, so new hires are expected to review and direct AI output much sooner. Fewer starter tasks means fewer starter seats.

The Junior Tasks AI Took First

Think about what a new grad did in their first months five years ago. Write the CRUD endpoint. Add the unit tests nobody else wanted to write. Fix the small bug in a ticket labeled "good first issue." Move the old service to the new framework version.

Those are exactly the tasks the task table shows AI handling today. They weren't glamorous, but they were how juniors learned a codebase without breaking anything important.

And the Stanford research says the change is happening through hiring, not firing. Companies aren't laying off their junior engineers so much as hiring fewer new ones. Already have a role? Reassuring. Trying to get one? That's the whole problem.

What Employers Expect on Day One Now

The bar moved. According to NACE's April 2026 survey, more than one-third of entry-level jobs now require AI skills, nearly triple the share in fall 2025, and nearly 60% of employers assign interns projects that use AI tools.

Handshake's computer science spotlight shows the same shift from the student side. Software engineer fell from a top-five most-posted role (2018 to 2023) to ninth in 2024-25, and 70% of Class of 2026 CS majors said they feel pessimistic.

So what does a hiring manager actually want from a junior now? Someone who can take AI-generated code, spot what's wrong with it, test it and explain the trade-offs. We used to tell students that AI won't replace you, but someone using AI will. Honestly, that's only half true. The more accurate version: AI won't replace you if you can check its work.

What Skills Make a Software Engineer Hard to Replace?

The skills that hold up are the ones AI is weakest at: judging code, designing systems, testing against real needs and working with real users. Each one needs proof a recruiter can see, not just a line on your resume.

Six Skills and How to Prove Each One

Our author's background includes years in recruitment process outsourcing, so we've seen how screeners read a junior resume. They skim the skills list and stop at evidence. Here's what counts as evidence for each skill:

1. Reading and reviewing code you didn't write. This now includes AI output. Proof: merged pull requests to an open-source repo, or a short write-up of a bug you tracked down.

2. System design basics. Proof: a deployed project with a README that explains your data model, your scaling choices and the trade-offs you rejected.

3. Testing and verification. Proof: a project with continuous integration and tests you wrote before letting AI fill in the code.

4. Working well with AI coding tools. Copilot, Cursor and Claude Code all count. Proof: a project log showing what you asked for, what you rejected and why.

5. Turning a real person's problem into requirements. Proof: something you built for an actual user (a club, a nonprofit, a company project) along with their feedback.

6. Security fundamentals. Proof: secure-coding fixes in your own projects, or an entry-level security certificate if you lean that way.

Number five is the one most students skip, and it's the hardest for AI to fake. A model can write a function. It can't sit in a meeting and figure out what the user actually needed.

How Can You Get AI-Ready Software Experience as a Student?

Apply early to internships, build projects that real people use, and get real project experience with a company. Most summer 2027 software internships opened between July and October 2026 and fill on a rolling basis, so the calendar matters as much as the skills.

Apply Early, and Know the Calendar

Most big tech internships use rolling admissions, so spots fill as applications arrive and late applicants get the leftovers. Our tech internships summer 2027 guide tracks when each company opens; Google's window, for example, has run only two to four weeks in recent cycles. Freshman or sophomore? The underclassmen CS internships playbook lists programs built for you.

For company-specific prep, start with our Google internship guide and our Nvidia internship guide. And don't sleep on defense and aerospace employers. They topped our posting tracker this fall.

Get Real Project Experience With a Company

Internships aren't the only way to show you can ship. An Externship gives you a real company project, guided support from an extern manager and a deliverable you can talk about in interviews. Externships run 4 to 11 weeks (most commonly 8) at about 5 to 10 hours a week, fully remote.

Artificial intelligence is one of the top fields students want to explore next in Extern's post-program survey (18.7% of responses, June 2026). At Extern, we've seen that students who've shipped work for a real company talk about AI differently in interviews: less "I used ChatGPT," more "here's where the model was wrong and how I caught it."

Three that fit what this guide recommends:

1. Databases and data modeling: the SQL & Database Architecture Externship with Breaking Games, built around database design and SQL.

2. AI agents in practice: the Wayfair n8n AI Agent Engineering Externship is about building AI agent workflows in n8n for business intelligence, which is close to the agent-overseeing work Google described.

3. AI on messy documents: the Pfizer Document Insights & Data Extraction Externship is built around extracting data and insights from documents.

One honest caveat: an Externship won't replace a full internship offer, and it won't fix a thin GitHub. It gives you real project experience and something specific to say when an interviewer asks what you've built. When you're ready, you can browse current Externships.

Extern is not affiliated with, sponsored by or endorsed by any company, firm or organization named here. This article is based on publicly available information as of November 2026. Job data and company plans change, so check the original sources linked above.

Frequently Asked Questions

Will AI replace programmers?

Partly, yes. BLS projects computer programmer jobs to fall 7% from 2025 to 2035 and expects companies to use technologies, including AI, to automate repetitive programming. Programmers who only turn specs into code are most exposed. Those who design systems, review output and own results tend to move into developer roles instead.

Will AI replace web developers?

Not entirely, but web development is the most exposed role in the field. Microsoft's 2025 study ranked web developers 21st of 785 occupations for AI applicability. BLS still projects 4% growth from 2025 to 2035, so the work shifts toward UX judgment, performance, accessibility and back-end integration.

Is computer science still a good major in 2026?

It can be, if you plan for a harder start. NY Fed data for 2024 show 7.0% unemployment for recent CS grads, among the highest of 74 majors, but low underemployment and an $87,000 early-career median wage. Once you're hired, the payoff holds. Getting that first role takes more proof.

Will software engineers still exist in 10 years?

Yes, almost certainly. BLS projects about 1.89 million software developer jobs by 2035, up from 1.72 million in 2025. The job will look different: more reviewing, testing and directing AI tools, less typing code from scratch. Nobody can predict the exact mix, so build skills that transfer.

Are big tech companies still hiring new grads?

Yes, but far fewer than before. SignalFire's 2025 report found new grads made up just 7% of Big Tech hires, with new-grad hiring down 25% from 2023 and over 50% from 2019. That figure covers all functions, not only engineering. Startups and mid-size companies are worth targeting too.

Do AI coding tools actually make developers faster?

Sometimes, and less than people feel. A 2023 GitHub Copilot trial found 55.8% faster completion on one small task, while METR's early-2025 study of 16 experienced developers measured 19% slower work on their own projects. METR now calls that result out of date. The safe takeaway: measure your own speed instead of trusting the feeling.

Will AI replace junior developers?

It's replacing some of what juniors used to do, not juniors themselves. Stanford researchers found employment of 22-to-25-year-olds in AI-exposed jobs is about 19% below trend, mostly through fewer hires. Companies still need people who will become senior engineers. Show you can review and ship work, not just write code.