"Quit your office job, learn plumbing" - Godfather of AI warns office workers are doomed in AI age

Technology
27 Aug 2025 • 4:00 PM MYT
Aaron Colt
Aaron Colt

News and political writer. Shooting through the noise, one word at a time.

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The ‘Godfather of AI’ advises people to train to be a plumber in the age of AI (Source: The Diary of a CEO, The Independent.SG)

In the age of artificial intelligence, a grim shadow looms over the world of work. Across industries, whispers of automation have turned into thunderous warnings: sooner or later, most jobs will be replaced by machines. What once felt like a distant possibility is now a fast-approaching reality.

Employees everywhere are anxious. The lawyer-in-training, the call-center worker, the fresh graduate—all face the same haunting question: Will I still have a job in five years? The rise of AI has left boardrooms and break rooms buzzing with fear, and for good reason.

Even Geoffrey Hinton, the “Godfather of AI” and one of the pioneers of neural networks, has sounded the alarm. Speaking on the Diary of a CEO podcast, he admitted that the very technology he helped create is now spiraling out of our control. His advice for the AI age? “It’s a good time to become a plumber.”

That wasn’t a joke. Hinton made it painfully clear: AI is coming first for routine intellectual work, not manual labor. “And I think for mundane intellectual labour, AI is just going to replace everybody,” he warned in the 40:33 mark of the podcast. And the people most at risk? Paralegals, call-center staff, and entry-level office roles—the foundation of today’s white-collar workforce.

His words were blunt: “I’d be terrified to work in a call center right now.” Instead of ten people handling tasks like summarizing legal texts or managing CRM tickets, one person with an AI assistant will soon be enough. Entire departments could be gutted overnight.

Image from: "Quit your office job, learn plumbing" - Godfather of AI warns office workers are doomed in AI age
AI could replace most white-collar jobs (Source: New Horizons)

Why intellectual jobs first? Unlike physical labor, cognitive work—drafting memos, handling client emails, processing claims — is painfully easy to automate. AI thrives on pattern recognition and language processing, meaning entry-level desk jobs are no match. Plumbers, electricians, and other skilled trades, however, remain relatively safe. Machines may out-think us, but they still struggle to out-build us.

Hinton’s career advice was both chilling and practical (at the 50:36 mark of the podcast): “It’s going to be a long time before AI is as good at physical manipulation… so a good bet would be to be a plumber.” Coming from a man who helped design modern AI, this wasn’t flippant. It was a roadmap.

But his warnings didn’t stop there. He predicts AI will one day surpass humans at everything. “You’d have to be very skilled to have a job that AI couldn’t just do,” he cautioned. Even universal basic income, a potential safety net, would not solve the deeper crisis: the loss of meaning when work disappears.

Because being jobless isn’t just about losing a paycheck. It’s about losing purpose. For many, work provides structure, dignity, and identity. Hinton fears that once AI wipes out routine jobs, millions will face not just unemployment but an existential void.

Still, all hope is not lost. His warning doubles as guidance. For knowledge workers, survival lies in roles that partner with AI, not compete against it. Don’t be the paralegal who drafts documents, but rather the paralegal manager who ensures AI outputs are accurate. For those in trades, plumbing and electrical work may remain secure precisely because physical dexterity and hands-on problem-solving are so difficult to replicate. And for healthcare and creative fields, jobs blending empathy, ethics, creativity, and contextual judgment will endure longer.

The roadmap is clear: routine cognitive tasks will vanish first. But as AI evolves, humans must evolve too. The challenge is not only to keep our jobs, but to redefine what meaningful work means in an age where machines may eventually outperform us in every measurable way.


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