Will AI replace tech jobs? Ask a CTO and you get one answer. Ask a 23 year old with a computer science degree and 200 unanswered applications and you get another. Both are right, and that is the part most articles miss. Tech as a whole is still growing. The entry rung is shrinking. If you are trying to get in, only the second fact decides your next twelve months. We place juniors inside live ventures for a living, so this piece is written for them: what the 2026 data says, which tech work AI is absorbing, and how you get in anyway.
The short answer
No, AI is not replacing tech jobs across the board. Yes, it is replacing a lot of the work tech used to hand to beginners.
The cleanest evidence is the August 2026 revision of Stanford's "Canaries in the Coal Mine" study, built on ADP payroll data for millions of US workers through June 2026. Its first finding: no evidence of widespread, economy-wide job displacement. Its second: employment of workers aged 22 to 25 in AI-exposed occupations now sits 19% below where it would be had it kept pace with less-exposed peers. Experienced workers show no comparable gap. And the gap has widened every time the authors updated it since August 2025.
So the honest answer is a split. Tech keeps hiring. It just hires fewer people who are starting out. If you want every number on the wider job market in one place, we collected the full set of AI job statistics separately.
Two numbers that look like they contradict each other
The aggregate: tech is still hiring
The US Bureau of Labor Statistics projects employment of software developers, QA analysts and testers to grow 15% from 2024 to 2034, "much faster than the average for all occupations." That is 287,900 added jobs and about 129,200 openings a year, with a median developer wage of $133,080 in May 2024.
That is not the profile of a profession being deleted.
The entry rung: fewer doors for people starting out
Now look at the bottom of the ladder. In the second quarter of 2026, a CIO.com survey of more than 1,200 senior technology leaders across 53 countries asked what entry-level demand for computer science graduates would look like in five years. 45% expected lower demand. 28% expected it to stay the same. Only 27% expected growth. The reason every group gave was the same: AI.
The doors before the first job are shrinking too. Handshake reported a 30% decline in tech-specific internship postings since 2023, as cited by the Stack Overflow blog, while internship applications kept rising.
Here is the detail that matters most. Stanford found the decline runs "primarily through reduced hiring of young workers rather than increased separations." For the most part, companies are not walking juniors out of the building. They are simply not opening the door. That is why the aggregate looks fine while the people trying to get in feel locked out. Both readings are true at once.
Which tech work AI is actually absorbing
"Tech jobs" covers developers, QA, IT support, data, security and more. AI is not hitting them evenly. It is hitting specific tasks.
The tech leaders in the CIO survey named them directly: routine coding, service-desk tickets and administrative tasks. That list is not random. It is, almost word for word, the work new graduates traditionally started on.
The tools are already everywhere. The same Stack Overflow piece reports that 84% of developers used AI tools in the development process as of its 2025 survey. According to AFP's reporting on startups, a quarter of startups in Y Combinator's Winter 2025 batch were built on code that was 95% AI-generated, and one founder told AFP they now want experienced "architects" rather than "eager young coders fresh out of college."
The same AFP report cites Harvard researchers who analysed resume and posting data on some 62 million US workers: junior employment at companies adopting generative AI dropped about 9% relative to non-adopters within six quarters, even as senior employment kept rising.
Stanford adds the mechanism. Declines concentrate in occupations where AI usage mainly substitutes for human tasks. Where it mainly complements workers, employment is flat or rising. Notably, the divergence persists even when the researchers exclude technology firms and computer occupations, so this is not only a coding story. If you want the developer-specific deep dive, read will AI replace software jobs.
The pattern in one line: AI takes the tasks that are easy to specify and easy to check. It struggles with the tasks that need context, judgment and consequence.
Where tech still hires people starting out
The entry rung is not gone. It moved. Four signals point to where.
Oversight instead of output. CNBC reports that at FDM Group, tools like Claude Code and Codex mean developers increasingly oversee work completed by both AI agents and people, which could push juniors toward supervising work much sooner in their careers.
Hiring for potential, not predefined roles. SHL's global SVP of product told CNBC that some employers are moving away from recruiting graduates into fixed roles and instead hire for broad capabilities, asking: "Have you got re-skilling potential?" One retail bank SHL works with is even looking at psychology and law graduates, on the logic that technical skills can be taught and critical thinking cannot.
Portfolio over transcript. The CIO survey respondents were consistent on what the new junior looks like: a strong portfolio over a strong transcript, demonstrable AI fluency over rote coding, and "people who can ask the right questions."
Some employers are reversing course. SpiderHunts' 2026 developer market roundup notes that IBM tripled its entry-level hiring for 2026 after replacing around 200 HR roles with AI agents. And AWS CEO Matt Garman, quoted by AFP, called replacing junior developers with AI "one of the dumbest things I've ever heard."
Every senior engineer was once a junior. Companies that stop hiring juniors are borrowing from their own future, and the smarter ones know it. For a wider map across professions, see which jobs are safe from AI.
Why judgment is the new entry ticket
Here is the uncomfortable truth. AI did not raise the ceiling for juniors. It raised the floor.
Bloor's Cheney Hamilton put it precisely to CNBC: "AI raises the floor of what a junior can produce, but it doesn't give them the judgement to know when the output is wrong, and that judgement historically came from repetition and consequence." The suggested fix is to treat early work as exposure rather than output: juniors checking and correcting AI work while seniors deliberately teach the judgment around it.
Practitioners have argued about how juniors break into the field for years, as this Hacker News thread on getting into the industry shows. What changed in 2026 is that the old answer, "grind through the simple tickets until you learn," no longer works, because the simple tickets are gone.
So the bar is not "can you produce code." AI can. The bar is "can you tell when the output is wrong, and do you know what to build next." That is a skill you only build by doing real work where mistakes cost something.
The playbook: how to get into tech anyway
Learn the tools, then learn to check them
AI fluency is now table stakes. 84% of developers already use these tools, so knowing how to prompt one is not a differentiator. Knowing when to distrust it is. Use AI to build, then make yourself explain every line, test every assumption and break your own output on purpose. If you are still on the user side of that line, our guide on how to go from AI user to AI builder is the place to start.
Build proof, not a transcript
When tech leaders say "portfolio over transcript," take them literally. A shipped project with real users and a written account of what broke beats another certificate. Recruiters cannot verify your potential. They can verify a working thing you built. If you have nothing yet, here is how to build a portfolio with no experience.
Get reps where mistakes have consequences
This is the piece most career advice skips, and it is the one Bloor identified: judgment comes from repetition and consequence. Side projects give you repetition. They rarely give you consequence.
That is the gap we built EX EPIC Academy around. Participants from 26 nations work on 15 live projects, with no grades and no exams. Real ventures, real stakes. Interns are placed in operational roles at real ventures such as Zero X in waste-to-energy, Gemino AI in automation and LIV Urban Sanctuary in wellness. Our parent group, EX EPIC, has trained and deployed 250+ operators through the Academy.
What does that look like day to day? You use AI to move fast, and then a founder asks you why the number is wrong, and you have to know. That question, asked a hundred times over four to six months, is exactly the judgment the market now asks for at entry level. You ship or you don't.
The tech industry did not close. It moved its front door up a floor. The people getting through are the ones who arrive already carrying proof. For the broader picture beyond tech, read will AI replace entry level jobs.
FAQ
Is it still worth studying computer science in 2026?
Yes, with adjusted expectations. The BLS still projects 15% growth for software developers, QA analysts and testers over the decade. But the degree alone no longer gets you hired. AFP reports computer science enrollment has already fallen at two-thirds of computing programs nationwide according to the Computing Research Association, so those who finish and pair the degree with real proof of work may face less competition later.
Will AI replace IT support jobs?
AI will absorb a large share of routine service-desk tickets; tech leaders named them as a prime automation target. Escalations, messy real-world environments and work that needs human judgment remain. The entry path into IT support is narrowing toward people who can handle the problems the bot could not.
Are experienced tech workers safe from AI?
Safer than juniors, on current evidence. Stanford's payroll data shows experienced workers in AI-exposed occupations have no comparable employment gap, and the Harvard data reported by AFP found senior employment kept rising at firms adopting generative AI. Staying safe still means mastering the tools.
Are companies laying off tech workers because of AI?
The measured effect so far is mostly not layoffs. Stanford found the adjustment runs through reduced hiring of young workers rather than increased separations, and through employment rather than base pay. That is why the damage is concentrated on people trying to get their first job.