AI Hits the British Labour Market

AI Hits the British Labour Market
AI Hits the British Labour Market

AI Hits the British Labour Market: Jobs Disappearing Faster Than They Are Created

A recent study has revealed that the United Kingdom is among the major economies most negatively affected by artificial intelligence in terms of the labour market, as it is losing jobs at a faster rate than they are being created — a striking contrast compared to other advanced industrial nations.

The study's findings, prepared by global investment bank Morgan Stanley, showed that British companies recorded a net job loss of 8% over the past twelve months as a result of their growing reliance on AI technologies — the highest rate among the major economies included in the study, which covered the United States, Japan, Germany, and Australia.

Multiple Sectors Under the Impact of AI

The study included a survey of British companies that had used AI technologies for at least a full year, across five main sectors:

  • Consumer staples and retail

  • Real estate

  • Transport and logistics

  • Healthcare equipment

  • Automotive industry

According to a report published by the British newspaper The Guardian, these sectors have witnessed clear shifts in employment patterns, with a growing reliance on automation and intelligent algorithms in place of human labour — particularly in administrative, analytical, and routine roles.

Productivity Gains… But at the Cost of Jobs

Despite the negative impact on employment, the study showed that British companies achieved an average productivity increase of 11.5% thanks to the adoption of AI solutions, reflecting the ability of these technologies to improve operational efficiency and reduce costs.

However, the key difference, according to the report, lies in the fact that American companies that recorded similar productivity gains managed to create more new jobs than the ones they eliminated — something that has not occurred in the British market.

Economic Pressures Intensifying the Impact

Analysts believe that the impact of AI in the United Kingdom is amplified by internal economic and structural factors, most notably:

  • Rising operational costs

  • Increased corporate taxation

  • Higher employer National Insurance contributions

  • Recent increases in the national minimum wage

This coincided with unemployment reaching its highest level in four years, prompting many companies to freeze hiring or reduce their workforce, while turning to AI as a lower-cost alternative over the medium term.

Growing Anxiety Among Workers

In a related context, a separate study conducted by global recruitment firm Randstad found that more than 25% of workers in the United Kingdom feel concerned that their jobs could completely disappear within the next five years due to the rapid advancement of AI technologies.

This anxiety was most pronounced among young people and Generation Z, who expressed concerns about their ability to adapt to a rapidly changing labour market, while Baby Boomers — those nearing retirement age — expressed greater confidence in their ability to withstand or navigate these shifts.

The Reskilling Challenge and the Future Labour Market

Experts argue that the problem does not lie in AI itself, but rather in the pace of rapid transformation compared to the slow rollout of reskilling and vocational training programmes. The absence of effective policies to retrain workers and guide them towards new jobs linked to the digital economy is widening the skills gap and deepening job losses.

The report warns that if this trend continues without clear government intervention, it could lead to a widening inequality gap in the labour market, leaving large segments of the workforce outside the new economic system.

Summary of the Situation

These indicators confirm that the United Kingdom faces a dual challenge: maximising the benefits of AI to boost productivity while limiting its negative effects on employment. While other economies are managing to achieve a relative balance, the British market still needs more flexible policies and greater investment in digital education and workforce reskilling.