Automation anxiety is becoming social risk.
London, May 2026. A new King’s College London survey shows that Britons are deeply worried about the economic consequences of artificial intelligence, with seven in ten concerned about AI-driven job losses. More than half believe the technology could produce mass unemployment, while one in five think the disruption could even lead to civil unrest. The finding reveals that AI is no longer being judged only as innovation, but as a potential destabilizer of work, class mobility and public trust.
The concern is especially sharp because it reaches beyond older workers or traditional sectors. Students and young adults, despite using AI frequently, are also among those most anxious about its impact on entry-level jobs and future careers. That contradiction defines the new social psychology of automation: people may use the tools daily while still fearing the economic system being built around them. AI is therefore entering public life as both convenience and threat.
The survey also exposes a policy failure. Many Britons do not believe the education system is preparing young people adequately for an AI-shaped labour market. Support for retraining, public intervention and stronger corporate responsibility suggests that citizens are not rejecting technology itself. They are rejecting the idea that disruption should be privatized as profit while its social costs are passed to workers, families and universities.
For governments, the message is direct. AI adoption cannot be treated only as a productivity agenda, because technological acceleration without institutional protection can become a legitimacy crisis. If citizens associate automation with job insecurity, wage pressure and elite enrichment, the political backlash will not remain confined to technology debates. It will move into elections, unions, classrooms and the streets.
Britain’s anxiety is not an isolated mood swing. It is an early warning from a society watching artificial intelligence advance faster than its institutions can translate it into security. The question is no longer whether AI will change work. The question is whether governments can prevent that change from becoming another fracture line between innovation and social abandonment.
Información que anticipa futuros. / Information that anticipates futures.