AI Godfather Warns Mid-Level Coding Jobs Will Disappear

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Nobel laureate Geoffrey Hinton warns that AI could soon replace mid-level programmers, even as he maintains that Computer Science degrees remain essential.

“Godfather of AI” on Why Mid-Level Programming Jobs Are at Risk?

Imagine spending four years learning to code, landing your first programming job, and then being told that AI might replace you within a few years. That’s the uncomfortable reality Geoffrey Hinton just laid out in an interview with Business Insider.

Geoffrey Hinton is a renowned computer scientist known for creating many of the ideas that power today’s artificial intelligence. His work on neural networks and deep learning became the foundation for modern AI systems.

Hinton is often called the “Godfather of AI” because he believed in neural networks long before the rest of the scientific community took them seriously. In 2024, he won the Nobel Prize in Physics.

In recent years, Hinton has been speaking openly about the risks and challenges of powerful AI systems

Hinton told Business Insider recently:

“Obviously, just being a competent mid-level programmer is not going to be a career for much longer, because AI can do that.” 

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The reason AI threatens mid-level programmers in particular is that much of what such programmers do is repetitive. Writing standard functions, plumbing together API calls, and debugging errors are tasks that a well-trained AI can already do. 

But Don’t Give Up on Computer Science Yet

A CS degree is more than learning to code and doing these mundane tasks. 

Hinton isn’t telling students to abandon computer science. In fact, he argues the opposite.

“Many people think a CS degree is just programming or something. A CS degree will be valuable for quite a long time.”

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He reasons that computer science teaches you how to think, not just how to code. It’s about problem-solving and understanding systems.

Hinton’s advice for students is to focus on skills like math, statistics, probability, and linear algebra. These are long-lasting skills that won’t disappear, even as AI becomes more powerful.

He also suggests learning to code, even if AI may handle most of it in the future. He compares it to learning Latin: you might never use the language in daily life, but learning it still strengthens your thinking.

However, in a recent discussion with Senator Bernie Sanders, he painted a stark picture of what tech companies are really planning with AI.

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“But it seems very likely to a large number of people that we will get massive unemployment um caused by AI. And if you ask where are these guys going to get the roughly trillion dollars they're investing in data centers and chips um really you can get subscription fees but one of the main sources of money is going to be by selling people AI that will do the work of workers much cheaper and so these guys are really betting on AI replacing a lot of workers.”

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This is why Computer science graduates are entering a tougher job market in 2025, with unemployment rising to 6.1%. 

Still, the argument here is that the CS degree is not the problem; it will hold its value.

OpenAI chairman Bret Taylor, who holds both a BS and MS in computer science from Stanford, agrees. He talked on Lenny’s Podcast a few months ago: 

“I do still think studying computer science is a different answer than learning to code, but I would say I still think it's extremely valuable to study computer science. I say that because I think computer science is more than coding. ... But I think operating a code-generating machine requires systems thinking, and I think that computer science, there are other disciplines as well, but computer science is a wonderful major to learn systems thinking.”

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Taylor says that in the coming years, AI will be able to do the boring parts of writing code. But the real job of a developer will shift. The main role of the software engineer will be to guide the AI, understand the bigger picture, and use technology to solve real problems for customers.

Bottom Line

The programmers who will survive in the coming days will be someone who think creatively and make judgment calls.

However, Hinton himself admitted when talking about the future: “We can see clearly for a year or two, but 10 years out, we have no idea what’s going to happen.”

Hinton had predicted that as AI becomes more powerful and widespread, it will create mass unemployment. 

That uncertainty is scary, but if you are studying computer science, your goal should not be to compete with AI at writing basic code. Your goal should be to become a problem-solver.