A December 31, 2025, Futurism article reported that Geoffrey Hinton—the computer scientist often called the “Godfather of AI”—expected AI to improve enough to replace many more jobs. In that headline, “this year” means 2026. Hinton was warning about what AI might become capable of doing, not reporting that mass job losses had already happened.
What did Geoffrey Hinton say about AI taking jobs?
In a December 2025 interview on CNN’s State of the Union, Hinton said AI was already “extremely good” and predicted it would gain the capabilities to replace many jobs beyond call-center work. Futurism quoted him saying: “It’s already able to replace jobs in call centers, but it’s going to be able to replace many other jobs.” Futurism’s December 31, 2025, report attributed that forecast to the interview.
Asked whether he was more or less concerned than when he raised alarms in 2023, Hinton replied, “I’m probably more worried.” He said AI had progressed faster than he expected, particularly in reasoning and deceiving people. Those remarks express Hinton’s assessment; the report does not independently measure the pace of progress or establish its effect on employment.
Did Hinton predict job losses specifically in 2026?
The matching Futurism article was published on December 31, 2025, so its phrase “this year” refers to 2026. Hinton’s quoted remarks forecast further improvement and an expanded ability to replace workers; they do not give a count of jobs expected to disappear in 2026 or establish that broad displacement would occur during that year.
What’s actually slowing this PC down?
Pick the symptom - the matching free tool is one click away.
#1 Best Overall
Futurism itself said it remained to be seen whether AI would make the predicted strides, and noted that attempts to replace workers with semi-autonomous systems had failed. That caveat matters: a system’s ability to perform a task is not the same as an employer adopting it successfully, eliminating a role, or causing a lasting net loss of jobs.
Which jobs and timelines did Hinton mention?
Call-center work and other jobs
Hinton pointed to call centers as an area where AI could already replace jobs, then predicted that its capabilities would extend to “many other jobs.” The report does not identify a full list of occupations or specify how many workers would be affected.
Rank #2
Software engineering and the pace of capability growth
Futurism also reported Hinton’s estimate that AI was advancing so that, roughly every seven months, systems could handle tasks that had previously taken twice as long. He speculated that software-engineering projects taking a person a month might be handled by AI within a matter of years. These are Hinton’s claims about capability and task duration, not independently established statistics about job losses or a guaranteed timetable for workplace adoption.
Has AI already caused mass unemployment?
The sources cited here do not establish how many jobs AI has actually displaced. Hinton’s forecast is not a verified finding that AI had devastated the labor market, and a prediction about future capability cannot by itself demonstrate realized unemployment.
Do these 3 things before closing this tab:
1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsA figure discussed in the UK Parliament illustrates why “at risk” should not be confused with “lost.” In a December 10, 2025, debate, MP Iqbal Mohamed said independent analysis showed up to 8 million UK jobs at risk, particularly administrative, customer-service, and junior professional roles. The Hansard passage records the MP’s statement but does not name the underlying analysis. It is therefore a parliamentary claim about potential exposure, not a verified count of jobs eliminated.
Why does Hinton link AI job losses to inequality?
In a September 2025 report about Hinton’s Diary of a CEO interview, Windows Central quoted him arguing that wealthy people could use AI to replace workers, increasing unemployment and profits while leaving many people poorer. He added that he considered this a consequence of the capitalist system, not AI itself. The report presents his concern as an argument about who controls the technology and who receives the productivity gains—not as proof that those outcomes have already occurred.
That distinction is central to the employment debate. AI may increase output or reduce the time needed for particular tasks without necessarily eliminating every job that includes those tasks. The effects on workers depend on how organizations deploy the technology and how the resulting gains are distributed. Hinton’s remarks raise those questions but do not quantify their eventual answers.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should readers interpret the warning?
- Capability is not adoption: AI being able to perform some work does not prove employers will adopt it reliably or remove the roles involved.
- Exposure is not job loss: A role or task described as “at risk” is not a count of people already unemployed because of AI.
- A forecast is not a measured outcome: Hinton’s statements describe his expectations; the cited reports do not provide a quantified measure of realized AI-caused job losses.
- Distribution matters: Hinton’s concern includes whether productivity gains benefit workers broadly or accrue mainly to owners and investors.
Hinton had raised concerns about AI’s effects before leaving Google in 2023, but that history supplies context rather than evidence that his 2026 forecast will come true. BBC’s coverage of his departure describes his earlier warnings about the technology’s risks.
Quick Recap
Best Value
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
