Raspberry Pi CEO Warns — AI Is Driving Young Workers Away From Tech Jobs in 2026

The founder of British computer maker Raspberry Pi has issued one of the sharpest warnings yet about how AI hype is reshaping career choices for young workers. Eben Upton told the BBC's Big Boss Interview podcast that overestimating what tools like ChatGPT and Claude can actually do risks pushing a generation away from tech jobs at exactly the moment the UK needs more engineers. The danger, he said, is that students hear constant headlines about AI replacing coders and quietly decide computing is a dead end, even as software engineering job listings spike and openings surge 30 percent in some segments. It is a quieter labour-market story than a layoff announcement, but Upton thinks it may matter more over the next decade.

Upton's argument lands at a tense moment. Tech firms have blamed tens of thousands of layoffs on AI, and Gen Z is openly angry about it. The class of 2026 is graduating into an unemployment crisis, and parents are flooding career coaches with the same question: should my kid still pick computing? Upton's reply, in effect, is that no one yet has the data to answer that responsibly, and that letting the loudest headlines decide a 40-year career is a mistake the UK economy cannot afford.

Who is Eben Upton and why does this warning carry weight?

Eben Upton founded Raspberry Pi in 2012 because he was alarmed that young people in the UK were no longer picking up real computing skills. Mobile phones and games consoles had replaced the kind of cheap, programmable machines a curious kid could break and rebuild, and the pipeline of self-taught coders that had fed British tech for decades was thinning. Raspberry Pi's tiny single-board computers became the answer, used in schools, bedrooms and university labs to teach a generation how a real machine actually works. The company is now the most widely sold computer maker by any UK firm and floated on the London Stock Exchange in 2024, a rare British tech listing in a year when Cambridge-based Arm and others picked New York instead.

That track record gives Upton an unusually clear view of who actually ends up in the most in-demand tech jobs of 2026. He has spent more than a decade watching teenagers move from a first Raspberry Pi project to A-level computer science, to a CS degree, to a first hardware or software job. He knows where the on-ramp narrows and where it widens. When he says AI hype could undo a decade of pipeline-building, it is not a vague observation. It is a founder watching the on-ramp he personally built start to empty out, even as tech hiring rebounds in IT and CS and demand for hands-on builders climbs. His warning carries the weight of someone who can name, by hand, the specific point in the funnel where a 14-year-old quietly gives up on engineering.

It also matters that Raspberry Pi is not a research lab or a think tank. It is a hardware company with a P&L, a public market valuation and customers ranging from school IT departments to industrial automation firms. When its CEO talks about a skills shortage, he is talking about the labour market he hires out of every quarter. He has watched what happens when a country lets a generation skip a foundational subject, and he is one of the few British tech founders willing to say publicly that the AI conversation is now actively making that problem worse. That public framing is rare, and it is part of why the warning is registering with parents, head teachers and university admissions tutors in a way that another think-tank report would not.

What did Upton actually say about AI and young workers?

Upton's central line to the BBC was blunt. Some people are "very inclined to overestimate what these tools can do," he said, and that miscalibration could "distort people's choices in ways that make that skill shortage worse and not better." He warned against confident claims that AI will destroy vast numbers of computing roles over the coming years, calling that framing both premature and dangerous. "It's possible to get caught up in this," Upton said. "This is the risk of damage right in this moment of incredible enthusiasm for what are genuinely incredible tools."

The phrasing matters. Upton did not say AI is harmless to jobs. He did not say chatbots cannot write code. He said the gap between what the tools can demonstrably do today and what executives, journalists and LinkedIn influencers claim they will do tomorrow is wide enough to drive a generation off the road. Career decisions are sticky. Once a 15-year-old drops computer science to focus on a subject that "feels safer," getting them back on an engineering path at 22 is exponentially harder. Upton's worry is that the cost of that misallocation will be invisible for years and then suddenly very visible all at once, in the form of unfilled engineering vacancies, delayed infrastructure projects and stalled tech startups.

He was especially worried about how the debate has invaded family kitchens and school guidance offices. "You read in the paper: 'What guidance should you give your child about what GCSEs to choose in the context of an AI future?' We have no data to inform a rational decision on that. The answer is: wait five years, wait 10 years, and then maybe we might know something." Asked directly whether the trend could damage economic growth, Upton answered, "Absolutely. We need a supply of engineers." He also warned that AI hype could "undo a lot of the good work that's been done, not just by Raspberry Pi, but by a lot of other organisations" in encouraging people into tech careers. It is the same anxiety driving worker fears in the broader AI skills race, and it points at the same labour-market hole that other industry leaders keep flagging as the real story.

How real is the AI hit on entry-level tech jobs?

The fear is not invented. Amazon, Meta and Microsoft have all blamed AI for tens of thousands of cuts over the last year, with Zuckerberg pairing layoffs with record AI capex and a wave of 8000 Meta engineers landing back on the job market. Google now says 75 percent of its code is AI-generated, and Salesforce hired 1000 AI-native grads instead of traditional juniors. The new-grad job market has buried the old entry-level playbook, and recent grads are overqualified for the entry-level roles that remain. For a teenager scrolling TikTok, that headline mix reads simply: AI ate the junior dev job.

Underneath those headlines, though, the entry-level picture is more complicated. Tech jobs slipped in March 2026 on some indices, while the same month showed a paradox of 118000 fewer jobs and 254000 openings. 78557 tech layoffs hit in Q1 alone. Junior generalist coding roles really are getting squeezed, but specialised computing roles — embedded engineering, ML ops, security, hardware, robotics — are growing fast. The market is bifurcating, not collapsing, and that nuance almost never survives a tabloid headline about AI taking your child's job.

But Upton's point is that some of this is scapegoating. Many analysts argue AI is a convenient label for cuts driven by post-Covid overhiring, interest-rate normalisation and shareholder pressure to cut headcount after a hiring spree that few CEOs now want to defend on earnings calls. Strip out the AI framing and a large share of those layoffs look like a standard cycle. The result is a story that scares 16-year-olds out of a computing GCSE based on layoffs that have very little to do with their actual future labour market. Demand for hardware engineers, embedded systems specialists, cybersecurity analysts and AI infrastructure builders has barely flinched, and in many cases has climbed sharply. The risk, Upton implies, is that the missing data point in the AI job impact debate becomes a self-fulfilling prophecy. If enough kids opt out now, the shortage Upton already sees in 2026 becomes an emergency by 2032, and no chatbot will be able to backfill a national gap in real engineering talent.

Why does the UK economy need this pipeline so badly?

Upton tied his warning directly to economic growth, and the macro picture backs him up. Britain already faces an AI skills push, a graduate hiring squeeze, a NEET rate among the highest in Europe and hiring confidence still cooling. Q1 GDP growth was just 0.6 percent, and the country is leaning on engineering-heavy bets like 8000 nuclear jobs at Wylfa, semiconductor reshoring and a wave of green-industrial projects to fuel its next decade.

Upton himself flagged high energy costs as the main reason he would hesitate to build hardware in the UK, calling them "a challenge" and noting Britain has among the highest energy costs of any G7 nation. "About the only reason I wouldn't do engineering build objects in the UK is the high cost of energy, and we need to do something about that," he told the BBC, adding that he was "extremely lucky we're not running a fertiliser factory or an oil refinery." He linked energy directly to wages: "The cost of energy in the home has an impact on your labour cost. You have to pay people enough money to live." None of those headwinds are solvable without a steady supply of computing, electrical and mechanical engineers. If AI panic convinces a cohort of teenagers to skip the GCSEs, the A-levels and the CS degrees that feed those jobs, the UK does not just lose individual careers. It loses the labour base for the industries it is betting its growth story on, the same way collapses in legacy industries like glassmaking and hospitality have hollowed out other corners of the economy.

What should young workers and parents actually do in 2026?

Upton's prescription is patience, not panic. "Wait five years, wait 10 years," he told the BBC, "and then maybe we might know something." For students staring at GCSE choices, that means resisting the urge to abandon computing on the basis of a 24-month hype cycle. The half-life of an AI prediction in 2026 is measured in weeks. The half-life of a career decision made at 14 is measured in decades. Those two timelines should not be making the same trade-off.

Parents have a role to play here too. The pressure to give a confident answer at the dinner table about "what AI will do to careers" is intense, and most adults are getting their data from the same handful of viral articles. Upton's suggestion is essentially to admit uncertainty rather than pretend to it, and to let kids keep optionality. A computing GCSE does not commit anyone to a life of writing Python. It commits them to understanding how the systems running the modern economy actually work, which is a useful base whether they end up in finance, design, medicine or pure engineering. Skills now matter more than a computer science degree in many corners of the market, but the underlying skills are still built in the same classrooms.

For early-career workers, Upton's advice translates into treating AI as a layer on top of an existing craft rather than a reason to walk away from it. Layering AI skills onto an existing career is now the single most repeated piece of advice from CEOs across the industry. Forward-deployed engineers and other specialised computing roles are some of the fastest-growing roles in the market, and they all start with the same computing foundation Upton is trying to defend. None of those jobs go to candidates who quietly dropped computer science at 16 because a newspaper headline scared them. The students who keep showing up to their CS classes in 2026, while their classmates flinch, are likely to be the ones cashing the senior offers in 2030. Upton's bet is that the hype will fade, the tools will settle, the shortages will get sharper, and the kids who held the line will find themselves walking into the most valuable labour market British engineering has offered in a generation.

People Also Asked

Q: Who is the Raspberry Pi CEO warning about AI in 2026?

A: Eben Upton, the founder and CEO of British computer maker Raspberry Pi, made the warning on the BBC's Big Boss Interview podcast. Upton started Raspberry Pi in 2012 to give young people in the UK access to cheap, programmable computers after he saw computing skills declining among school-age kids. The company is now the most widely sold computer maker by any UK firm and listed on the London Stock Exchange in 2024. Upton's argument is that overhyping AI's abilities risks scaring the next generation of engineers away from tech careers entirely.

Q: Is AI really replacing entry-level tech jobs in 2026?

A: The picture is mixed. Amazon, Meta and Microsoft have blamed tens of thousands of layoffs on AI, and Google says 75 percent of its code is now AI-generated. At the same time, software engineering postings have surged 30 percent in some segments, and forward-deployed engineers are among the fastest-growing roles. Many analysts argue AI is being used as a convenient label for cuts driven by post-Covid overhiring rather than pure automation. Upton's view is that hype is outrunning evidence, and that students should not write off computing based on a 24-month news cycle.

Q: Should students still study computer science with AI on the rise?

A: According to Upton, yes. He told the BBC there is "no data" yet to inform a rational decision about whether to steer children away from computing because of AI, and his advice is to wait five to 10 years before reading the trend. The UK is short of engineers across nuclear, manufacturing, semiconductors and software, and demand for AI-literate computing graduates is climbing fast. Students who treat AI as a tool to layer onto a computing foundation, rather than a reason to abandon the field, are positioned well for the 2030 job market.

Future-proof your career?

The job market is shifting fast, and the loudest headlines are not always the most useful career guide. Metaintro is the AI career intelligence platform built for job seekers, tracking layoffs, hiring waves, salary moves and skill demand across every major industry so you know where the real opportunities are. Whether you are choosing a GCSE, a degree or your next role, Metaintro helps you make the call with data, not panic.