In recent years, the rise of artificial intelligence (AI) has sparked growing concern about its potential impact on employment, with some experts warning of widespread job losses and social unrest. Historical examples of technology-driven disruption, such as protests by London taxi drivers against ride-hailing app Uber in 2014, illustrate the tensions that can arise when new technologies threaten established livelihoods. However, the scale and speed of AI’s impact may eclipse previous upheavals.
A report published by City Hall in April 2026 highlighted that at least one million jobs in London are “highly or significantly exposed” to automation by AI. A 2024 study by the Institute for Public Policy Research (IPPR) suggested that, without targeted government intervention, up to eight million jobs across the UK could be displaced within the next three to five years. Positions most vulnerable to automation include entry-level, part-time, and administrative roles. This trend is compounded by a challenging labour market for young people, with nearly one million individuals aged 16 to 24 classified as not in employment, education, or training (NEETs), according to data from the Office for National Statistics.
The IPPR further noted significant regional disparities in job availability for youth. Rotherham in South Yorkshire reported just 46 suitable job vacancies per 1,000 young people, markedly below the UK average, with similar shortages in East Renfrewshire, Broxtowe, and Newcastle-Under-Lyme. This environment presents growing difficulties for new entrants to the workforce, a situation likely to worsen as AI continues to reshape industries.
Economist Carl-Benedikt Frey of the Oxford Internet Institute has been vocal about the broader challenges AI may pose. Reflecting on the Uber protests, he noted that earlier disruptions primarily represented increasing competition rather than outright job displacement. Looking ahead, Frey predicts that social unrest linked to AI’s economic impacts may arise well before widespread unemployment becomes evident. He warns that even modest reductions in income—comparable to the 5 to 10 percent wage declines experienced by traditional taxi drivers facing ride-share competition—could fuel discontent, especially since AI technologies are expected to influence a wide range of sectors, including construction and manufacturing.
Public perception echoes these concerns. Research by King’s College London (KCL) showed that more than half of respondents in the UK believe AI will cause significant job losses, with one-fifth fearing it could provoke social unrest. Among university students, this apprehension is even more pronounced, with 34 percent anticipating such outcomes.
KCL professor Elena Simperl, co-director of the King’s Institute for AI, highlighted the particular difficulties faced by today’s youth. Many have endured disruptions from the global pandemic and now confront the uncertainties posed by rapidly evolving AI technologies alongside broader economic instability.
While AI offers potential efficiency gains and innovation, its prospective consequences for employment remain a topic of debate and concern among policymakers, economists, and workers alike. The challenge for governments will be to manage these transitions in ways that mitigate social tensions and support affected workers as the labour market undergoes profound transformation.