The AI Pioneer's Stark Prediction
Geoffrey Hinton, often called the "Godfather of AI," has issued a sobering forecast about artificial intelligence's impact on employment by 2026. In 2024, Hinton received a Nobel Prize in Physics for his foundational work in machine learning and artificial neural networks, yet even he expresses surprise at how rapidly AI has evolved.
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In a December 2025 interview with CNN, Hinton stated that AI will soon have the capability to replace many, many jobs. He noted that AI is already displacing workers in call centers and is advancing across numerous fields at an astonishing pace. According to Hinton, every seven months, AI becomes capable of handling tasks that are approximately twice as long as before.
He used coding as an example: what began as AI handling "a minute's worth of coding" has progressed to managing "projects that are, like, an hour long." This trajectory suggests that "in a few year's time, it'll be able to do software engineering projects that are months long, and then there'll be very few people needed for software engineering projects."
Industry Leaders Weigh In
Hinton isn't alone in his concerns. He has criticized some AI developers for prioritizing profit over safety, specifically noting that "initially, OpenAI was very concerned with the risks, but ... progressively moved away from that and put less emphasis on safety and more emphasis on profit."
Other experts offer varying perspectives. Adam Dorr, director of research at RethinkX, told The Guardian in July 2025 that while "there will remain a niche for human labor in some domains," the reality is that "there are nowhere near enough of those occupations to employ 4 billion people." However, Dorr also suggested this shift could allow people to focus more on meaningful relationships and community connections.
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Sam Altman, CEO of OpenAI, presents a more balanced view. In a May 2025 Bloomberg interview, he acknowledged that AI will change some jobs and take others away, but emphasized it will also "create a bunch of new ones." With AI already demonstrating capabilities like helping design computer processors, the technology's potential seems boundless.
Which Fields Are Most Vulnerable?
While Hinton highlighted software engineering as particularly at risk, other research identifies additional vulnerable professions. In August 2025, Microsoft released a report examining AI's occupational implications, finding that interpreters and translators, historians, and passenger attendants showed the highest AI applicability scores.
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However, Microsoft researchers cautioned against interpreting these findings as definitive predictions of job displacement. Their study analyzed over 200,000 anonymized Microsoft Bing Copilot conversations to determine which professional activities most frequently involved AI tools, then combined this data with AI applicability scores for various occupations.
Some economists offer perspective on current trends. Martha Gimbel, executive director of Yale University's Budget Lab, told the BBC in October 2025 that "so far, nothing that I've seen looks different than typical patterns of companies hiring and firing, particularly at this point in an economic cycle." She suggested the AI conversation feels different primarily because of the terminology involved.
As 2026 approaches, workers across industries must prepare for significant changes. While some experts predict massive displacement, others foresee transformation rather than elimination, with new roles emerging alongside those that disappear.




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