The risk of damage right in this moment of incredible enthusiasm
At a moment when artificial intelligence is reshaping how societies imagine the future of work, Raspberry Pi founder Eben Upton offers a quieter warning: that the loudest stories about technology can be as consequential as the technology itself. Speaking from the vantage point of someone who has spent over a decade coaxing young people toward computing, Upton cautions that inflated claims about AI's power to destroy jobs may discourage the very generation whose skills the economy will most need. The paradox is ancient in form — a prophecy that, believed widely enough, brings about the very scarcity it predicts.
- The AI hype cycle has grown loud enough that parents are already steering children away from tech qualifications, fearing a future where those skills have no value.
- Major layoffs at Amazon, Meta, and Microsoft, publicly attributed to AI, may actually reflect the unwinding of a pandemic-era hiring boom — but the narrative has already taken hold.
- Upton warns of a self-fulfilling collapse: the more people believe AI will eliminate tech jobs, the fewer engineers will be trained, deepening the very shortage that harms growth.
- Britain faces a compounding problem — not only must it manage the AI story carefully to protect its talent pipeline, but sky-high energy costs are quietly eroding its manufacturing competitiveness.
- The honest counsel for families navigating these choices, Upton suggests, is patience: the actual shape of an AI economy is still years away from being legible.
Eben Upton founded Raspberry Pi in 2012 after noticing that teenagers had stopped learning to code. Smartphones and consoles had made it too easy to consume technology without ever building anything. His small, affordable computers were meant to put creative tools back into young hands. Now, with Raspberry Pi newly listed on the London Stock Exchange and established as a rare British tech success, Upton finds himself worried about a different kind of threat — one made not of silicon, but of story.
In a BBC interview, Upton warned that the genuine power of AI tools like ChatGPT is being paired with wildly exaggerated claims about what they can do. The danger is not that the technology is weak, but that the hype surrounding it is distorting how young people think about their futures. When headlines proclaim that AI is destroying computing jobs, and when major corporations attribute mass layoffs to automation, something shifts in the cultural imagination. Narratives shape choices — and this one may be shaping them badly.
Upton did not dismiss the real disruptions. Amazon, Meta, and Microsoft have all announced significant workforce reductions in the past year, citing AI. But observers have noted these cuts may reflect something more mundane: the correction of an aggressive post-pandemic hiring bubble. AI has become a convenient explanation, perhaps even a useful one for the companies involved, but it may not be the whole story.
The sharper paradox is this: the more people believe AI will eliminate tech careers, the fewer will train for them, and the worse the resulting skill shortage will become. Upton pointed to a practical example — parents advising their children on GCSE subject choices, trying to plan for an AI future that no one can yet read clearly. His counsel was simple: wait. The actual contours of the economy will take years to emerge, and discouraging young people from engineering in the meantime serves no one.
Upton also raised a second, quieter burden on British industry: energy costs. The UK's prices are among the highest in the G7, making domestic manufacturing harder to sustain. Even for a computer maker like Raspberry Pi, the expense ripples outward — into labour costs, into competitiveness, into the structural conditions that determine whether building things in Britain remains viable.
Raspberry Pi's rise from educational experiment to public company has given Upton a platform in debates about Britain's economic future. But that future depends on a continuous supply of young people who believe a career in engineering is worth pursuing. If the AI narrative convinces them otherwise, the damage will be real — not because the technology has failed, but because the hype has succeeded too well.
Eben Upton, the founder of Raspberry Pi, has spent the last fourteen years trying to get young people excited about computing. He started the company in 2012 because he noticed something troubling: teenagers were no longer learning to code. Mobile phones and gaming consoles had made it too easy to consume technology without understanding how to build it. Raspberry Pi's small, affordable computers were designed to change that—to put the tools of creation back into curious hands. Now, at a moment when the company has just floated on the London Stock Exchange and become a rare British tech success story, Upton is worried about something else entirely: that the hype around artificial intelligence might undo all that work.
In an interview with the BBC, Upton warned that the current enthusiasm for AI tools like ChatGPT and Claude is being paired with wildly inflated claims about what those systems can actually do. The danger, he suggested, is not that the technology is weak—it is genuinely powerful—but that people are overestimating it in ways that distort how young people think about their futures. When newspapers run headlines about AI destroying computing jobs, when major tech companies blame tens of thousands of layoffs on automation, when parents start wondering whether their children should even bother with tech qualifications, something important shifts. The narrative changes. And narratives shape choices.
Upton was careful not to dismiss the real disruptions happening in the tech industry. Amazon, Meta, and Microsoft have all attributed significant workforce reductions to AI in the past year. But he and other observers have noted that these layoffs may reflect something simpler and less apocalyptic: the correction of a hiring bubble. After the pandemic, many large corporations expanded their headcount aggressively. Now they are contracting. AI has become a convenient explanation, perhaps even a useful one for the companies involved, but it may not be the whole story.
The real risk, Upton argued, is that exaggerated claims about AI's capabilities could discourage people from entering tech careers precisely when the economy needs more engineers, not fewer. "It's possible to get caught up in this," he said. "This is the risk of damage right in this moment of incredible enthusiasm for what are genuinely incredible tools." The paradox is sharp: the more people believe AI will eliminate tech jobs, the fewer people will train for those jobs, and the worse the skill shortage will become. It is a self-fulfilling prophecy that serves no one.
He pointed to a concrete example: parents trying to advise their children on which subjects to study for their GCSEs, the exams British teenagers take at sixteen. How should they counsel their kids in the context of an AI future? The honest answer, Upton suggested, is that no one knows. There is no data, no track record, no rational basis for the decision. The sensible course is to wait—five years, ten years—until the actual shape of the economy becomes clearer. Until then, discouraging young people from tech is simply premature.
Beyond the narrative problem, Upton raised a second challenge facing British manufacturing and engineering: energy costs. The UK has among the highest energy prices in the G7, a burden that makes it harder to build things domestically. Upton acknowledged that Raspberry Pi is fortunate—it is not running a fertiliser factory or an oil refinery, industries where energy costs are truly crushing. But even for a computer maker, the expense matters. It affects labour costs, because workers need to earn enough to afford their own energy bills. It affects competitiveness. It is a structural disadvantage that requires attention.
Raspberry Pi's journey from a small educational initiative to a publicly listed company has made Upton a voice in conversations about Britain's economic future. The company's success suggests that there is still appetite for British tech innovation, still room for homegrown companies to build something meaningful. But that success depends on a steady supply of young people who believe a career in engineering is worth pursuing. If the AI narrative convinces them otherwise, the damage will be real—not because AI is weak, but because the hype has become too strong.
Citas Notables
Overestimating what AI tools can do could undo a lot of the good work that's been done in encouraging people into tech careers— Eben Upton, Raspberry Pi founder
We have no data to inform a rational decision on what GCSEs young people should choose in the context of an AI future— Eben Upton
La Conversación del Hearth Otra perspectiva de la historia
When you say people are overestimating AI, what does that actually look like in practice?
It looks like a parent reading a headline that says AI will eliminate software engineering jobs, and then steering their teenager away from computer science at GCSE. It looks like someone deciding not to learn to code because they think a chatbot will do it better. The tools are real and powerful, but the narrative around them has gotten ahead of what they can actually do.
But haven't major companies already laid off tens of thousands of people and blamed it on AI?
They have, and that's real. But Upton's point is that those layoffs might be about something else—the correction of a hiring spree that happened after the pandemic. AI became a convenient explanation, maybe even a useful one for the companies involved. It's not that the layoffs didn't happen. It's that the cause might be more complicated than the headlines suggest.
So you're saying the real danger is the story we tell ourselves about AI, not AI itself?
Exactly. The technology is genuinely powerful. But if the story we tell discourages people from learning to build with it, we've created a shortage of the very people we need. It's a trap we can walk into without meaning to.
How does that connect to energy costs in the UK?
It's a different problem, but it points to the same thing: Britain needs to be a place where people want to build things. High energy costs already make that harder. If the AI narrative also makes young people think tech careers are pointless, you've lost them on two fronts.
What would Upton say the right move is?
Wait. Don't make big decisions about your child's future based on speculation about what AI will do in ten years. We don't have the data. We don't know. The honest answer is to encourage people into tech now, because we know we need engineers, and we can figure out what AI changes later.