Opinion: The impact of AI on employment in Europe

      In January 2026, the mayor of London issued a stark warning that has echoed well beyond City Hall: the rise of artificial intelligence could lead to "mass unemployment" in the city's key sectors unless immediate action is taken by policymakers. His statement was accompanied by an unexpected announcement of free AI training and the formation of a dedicated task force to assist workers in adapting. This contrast highlights a tension shaping the labor landscape in Europe: the duality of fear and opportunity intertwined in the same narrative.

      This anxiety isn’t confined to London alone. Throughout Europe, discussions regarding AI's effect on employment are escalating. Visionaries and skeptics present vastly different perspectives. Some tech experts caution that advanced AI could replace human jobs at an unprecedented speed. The phrase "AI will replace humans" is familiar to many.

      Conversely, others contend that these concerns are overstated or misplaced if governments and employers can effectively manage the transition. For a significant number of Europeans, the issue is no longer theoretical; it is unfolding in real time.

      At first glance, the aggregate figures for the job market appear reassuring: overall unemployment within the European Union remains low, with the EU unemployment rate at approximately 5.8% in 2025, a decrease from 6.0% the previous year. Youth unemployment has also dropped in several countries, suggesting that entry-level opportunities continue to be available for most workers.

      In certain sectors where AI tools are already employed, jobs have been altered rather than eliminated. A European study revealed that 30% of EU workers now utilize AI in their jobs, particularly for tasks involving text, such as writing and translation, while digital tools have become almost ubiquitous (90%) across workplaces.

      Many employees report that AI enhances their efficiency or allows them to take on new responsibilities. Simultaneously, employers are actively reevaluating job roles due to AI, with around 71% of European companies reconsidering job responsibilities because of AI incorporation and over a quarter reducing hiring or eliminating roles as a direct consequence of AI integration.

      Beneath these statistics lie more nuanced changes. Companies across the EU are exercising caution in hiring, partly due to economic slowdowns and partly because AI adoption is transforming work processes. Economic indicators suggest that employment growth in the EU will decelerate in the coming years, leading to fewer job openings and decreased labor market mobility, even as AI usage expands.

      The most apparent conflict is found at the intersection of perception and preparation. On one hand, public comments like those from London’s mayor reflect a tangible fear of job loss. Industries such as finance, legal services, and customer support—cornerstones of many European economies—are widely viewed as being at risk from automation and generative AI technologies.

      Comprehensive labor data indicate that while entire job categories may not be vanishing en masse, many positions are being transformed at the task level. AI is automating routine functions related to text production and data handling while increasingly supporting analytical and oversight tasks.

      On the other hand, signs of adaptability are emerging. Governments and institutions are initiating programs to reskill workers and integrate AI proficiency into professional development. Across Europe, significant gaps in digital skills persist; only 56% of adults aged 16-74 had basic digital skills in 2023, which is considerably below the EU's target, underscoring the extent of upskilling required.

      Educational initiatives are varied, ranging from vocational training to industry collaborations that impart AI-related skills. For instance, private training organizations throughout the EU are expanding their online offerings in data science, analytics, and AI competencies, reflecting an increasing acknowledgment that skills are as critical as the technology itself.

      It would be misguided to characterize this moment strictly as a dichotomy of jobs lost versus jobs retained. The World Economic Forum’s Future of Jobs Report 2025 forecasts both job creation and disruption, with employers anticipating a demand for completely new roles while others evolve or diminish.

      The report indicates that technologies, including AI, are expected to generate millions of new jobs globally while displacing an estimated number, highlighting the scale of the change in the workforce.

      Moreover, there is a policy aspect that must be considered. European institutions are exploring social safety nets and active labor market policies designed to alleviate displacement and facilitate transitions. Proposals like a European AI Social Compact advocate for strategies that merge employment assistance, training, and social protections as key components of economic planning.

      National governments are considering a range of options, from expanding unemployment benefits linked to training to tax incentives for businesses investing in human capital alongside AI. These initiatives recognize that the future of work is not merely about machines supplanting workers, but about seamlessly integrating people and machines into resilient labor ecosystems.

      However, challenges persist. Entry-level jobs, traditionally the starting point for recent graduates, are shrinking in numerous sectors as employers increasingly rely on automated systems for recruitment and candidate evaluation.

      Surveys indicate widespread concern among young job seekers regarding their prospects in a labor market transformed by AI, even in contexts where overall employment figures remain stable.