Using this methodology, they have determined that "AI is far from reaching its theoretical capability: Actual coverage remains a fraction of what's feasible." Researchers at Anthropic have introduced a whole new way to analyze AI's impact on work, arguing that there's still a huge gap between what large language models (LLMs) are capable of, and real-world deployment.
It's pretty unlikely a five-year-old today will be looking for a job. The need to work will go away. People will still work on the things they want to work on, not because they need to work. Rapid advances in AI and robotics will make most labor effectively free within 15 years, creating an era of extreme abundance and lower prices.
The research shows that for early-career marketing professionals aged twenty-two to twenty-five, AI has caused a net loss of approximately twenty percent of headcount in sales and marketing roles. The effect decreases as seniority increases, but there's an overall deflection across the field since January when everyone figured out ChatGPT existed.
I'm not predicting [it] can be a problem. I'm simply saying now's the time to start thinking about what you do if it does. Though Dimon's remarks were characteristically blunt, he iterated, JPMorgan wasn't going to put its head in the sand when it comes to AI transformation. To the contrary, he said, the bank is deploying AI aggressively and already has an LLM model that 150,000 people use every week.
I believe that millions of white-collar workers are going to lose their jobs in the next 12 to 18 months due to AI. AI is now able to do the work of a very, very smart human in minutes or even seconds. This is going to displace marketers, coders, designers, lawyers, accountants, call center workers-you name it.
Many of them say that AI's ascendance is already reducing demand for human researchers who can write code or do basic data analysis - tasks often handled by graduate students, postdocs or those without graduate training. Obsolescence of some basic roles in areas such as computer modelling "is not even in the future. It's happening now," says Xuanhe Zhao, a mechanical engineer at the Massachusetts Institute of Technology in Cambridge, because "AI is doing this much better than entry-level scientists".
"The example I use-and whether it will be now or not, we'll find out in the future-is in 1969, there were 80 million people working in the United States. In 2019, there were 160 million people. Think about the amount of technology that applied in America from that time, to 2019. "People wrote ... in 1969 that there would be no managers left in business because the computer itself would eliminate the need for managers, because they just moved information.
"Throughout my time here, I've repeatedly seen how hard it is to truly let our values govern our actions," Sharma said, claiming that employees "constantly face pressures to set aside what matters most."
Anxieties about AI putting people out of jobs is bubbling over: A Reuters/Ipsos poll from August 2025 found 71% of Americans feared permanent job loss as a result of AI. Last week, Amazon announced 16,000 roles across the company would be slashed, adding to a total of more than 30,000 job cuts since October 2025. The move coincided with Amazon's push toward AI development, though the tech giant attributed the reductions to an attempt to slash bureaucracy, not the technology.
"I think we're going to see AI get even better," Hinton replied. "It's already extremely good. We're going to see it having the capabilities to replace many, many jobs. It's already able to replace jobs in call centers, but it's going to be able to replace many other jobs."
Up to three million UK jobs could be lost to AI over the next ten years, according to the National Foundation For Educational Research (NFER), prompting calls for widespread reskilling programs. In a new , the foundation said that roles in at-risk occupations such as administration, secretarial services, customer service, and machine operations are declining at a much faster rate than previously predicted. While the number of jobs in the labor market as a whole is actually expected to grow by 2035, the study found most growth will be in occupations such as science, engineering, and legal roles.
Women are being warned they could get left behind by advancements in technology after a study revealed they are twice as likely to hold jobs under threat from AI. The findings showed that female-dominated roles, such as administration, bookkeeping, cashiers, and office staff, are more vulnerable to job loss as a result of automation. To compound the issue, women were also found to be 20 per cent less likely to engage with generative AI tools than men,
Asam is one of many businesses executives who've been startlingly candid about their intentions to displace human labor with AI tools or agents. From their point of view, you can directly replace your overpaid, calling-in-sick grunts with ever-dependable AI agents. Or you can whittle your workforce down to a skeleton crew that are super efficient thanks to the magical abilities of AI.
Two decades ago, I took my liberal arts degree(s) and got an entry-level job at a solid healthcare company and have moved up to the point where I think I've reached my max potential. I am punching above my weight in my current role. I believe that AI will kill my role in the next 12 months, and I do not believe my age and skillset will make me competitive in today's job market.
In today's episode, our host Zoë Schiffer is joined by WIRED's senior politics editor Leah Feiger to run through five of this week's best stories-from how AI is eliminating entry level jobs to why a secretive Democrat group is funding high-profile influencers. Then, Zoë and Leah dive into the scoop that AI researchers recently recruited to Meta Superintelligence Labs are already leaving-with some heading back to OpenAI.
In a paper released Tuesday, Brynjolfsson and two other Stanford researchers gave the AI and work discourse some much-needed clarity. Using a massive and recent trove of data, they showed that 22- to 25-year-olds in fields that are particularly exposed to AI are, indeed, having a harder time getting work than their older or less exposed counterparts. The paper dubs this cohort the "canaries in the coal mine" - potential harbingers of larger impacts if AI tools continue to improve.
My belief is it is 100% crap. The best at any job will remain. The best software developer, the one that really knows architecture, knows technology, and so on will stay—for a while.
"Artificial intelligence is going to replace literally half of all white-collar workers in the US," Farley said. That's why, he said, more people are looking to the skilled trades.
