
A growing share of people in the UK no longer buy the idea that artificial intelligence will usher in a jobs boom for ordinary workers. New research from King’s College London suggests a significant slice of the public now associates AI with layoffs, shrinking graduate opportunities and even the risk of unrest.
According to the study, more than one in five people in the UK believe AI could cut jobs so quickly that it triggers civil disorder. The findings point to rising anxiety as automation moves from tech-industry slide decks into real workplaces.
The research paints a picture of a labour market bracing for disruption rather than transformation. Among UK workers surveyed:
- 69 percent said they are worried about the economic impact of AI-driven job losses.
- 57 percent believe AI will destroy more jobs than it creates.
- More than half agreed with Anthropic CEO Dario Amodei’s prediction that AI could wipe out half of entry-level white-collar roles within five years.
These attitudes diverge sharply from years of upbeat messaging from AI vendors about productivity gains and new job categories. The study also notes that previous analysis has forecast AI and automation could erase 10.4 million US jobs by 2030, and that other surveys have found executives rating human workers as less valuable after deploying AI tools.
The pessimism extends beyond simple headcount fears. Across all groups surveyed, most respondents said they expect the economic gains from AI to flow mainly to wealthy investors and large companies, not to workers or society more broadly. That perception undermines the industry’s promise that automation-led productivity growth will translate into shared prosperity.
University students in the UK, who will be competing directly in an AI-shaped job market, appear even more anxious than the wider public. The study found:
- About a third of students believe rapid AI-driven job losses could lead to civil unrest.
- 60 percent expect AI to make the graduate job market significantly tougher by the time they finish university.
About a third of students believe rapid AI-driven job losses could lead to civil unrest. 60 percent expect AI to make the graduate job market significantly tougher by the time they finish university. Share on X
Heavy use of AI tools in education is not translating straightforwardly into confidence. Almost nine in ten students who use AI in their studies reported they had already run into problems such as factual mistakes or entirely fabricated sources. That aligns with broader concerns over the reliability of current AI systems and the risk of so-called “hallucinations” in generated content.
Professor Bobby Duffy, director of the Policy Institute at King’s College London, said people are following AI’s rapid progress “with more fear than excitement,” and are particularly worried about what it will do to entry-level roles. He also highlighted that the public remains unconvinced by high-profile claims that AI will be a net job creator: only a quarter of respondents agreed with the World Economic Forum’s view that AI will create twice as many jobs globally as it eliminates by 2030.
That scepticism is reinforced by what employers themselves are reporting. While much of the AI narrative still leans on future potential, the survey indicates some disruption has already arrived:
- 22 percent of employers said they have already made roles redundant or reduced hiring because of AI.
- Among large organisations, that figure rises to 29 percent.
Those numbers suggest that, at least in some workplaces, AI is being deployed as a cost-cutting tool rather than purely as an assistant to human staff.
Employers more upbeat as public pushes for regulation
Despite evidence of early job cuts, employers remain notably more optimistic than workers and students. Most employers surveyed said AI is currently assisting employees rather than replacing them. Nearly 70 percent reported being excited about new job opportunities they expect to open up as a result of AI deployment.
That gap in outlook between those deploying the tools and those who expect to feel their impact day to day runs through the study. While employers see potential for new roles and efficiencies, much of the public appears to be bracing for loss of bargaining power and a tougher path into professional work.
Uncertainty over where AI-driven productivity gains will land is feeding into calls for policy intervention. The research found:
- About two-thirds of respondents support tighter AI regulation, even if it slows development.
- A majority back government-funded retraining schemes.
- Many favour taxes on companies that replace human workers with AI.
Those views suggest a growing appetite for governments to get ahead of the labour-market impact, rather than waiting to see how far displacement goes. Respondents appear to be looking for a mix of guardrails on deployment, safety nets for people forced to change careers, and incentives to maintain human roles.
Underlying all of this is a basic question that no study can yet answer definitively: will AI ultimately create more jobs than it destroys, and will ordinary workers share meaningfully in any economic upside? For now, the King’s College London research indicates that many people in the UK are not convinced – and a notable minority worry the adjustment could be turbulent enough to spill onto the streets.
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