UK data shows fall in high-paying jobs for CS and economics grads

AI may be denting computer science graduates’ job prospects, UK data shows The latest analysis of graduate outcomes in the United Kingdom points to a sharp reversal in the fortunes of two traditionally high‑earning fields. A detailed review of the 2027 Guardian University Guide, released on Saturday, shows that the demand for computer science graduates, particularly those aiming for coding and software development roles, has fallen at the fastest rate of any subject last year. At the same time, economics graduates are seeing a comparable slump, with fewer openings in well‑paid finance‑related positions such as economists, management consultants and risk analysts..

The data underpinning the findings were compiled from the Higher Education Statistics Agency (HESA) and the UK Office for Students, covering the first twelve months after graduation for the cohort that left university in 2026. Researchers compared the number of graduates who secured full‑time, permanent positions in the top quartile of pay bands with the total number of graduates in each discipline. The resulting employment ratios reveal a 14 percent drop for computer science graduates and an 11 percent decline for those with economics degrees, both well above the average 5 percent dip across all subjects..

Industry experts attribute the downturn largely to the rapid expansion of artificial intelligence tools that can automate large swathes of coding work. “What used to require a team of junior developers can now be achieved with a few lines of prompt‑engineered code,” said Dr Amelia Hughes, senior lecturer in software engineering at the University of Manchester. She added that firms are increasingly favouring candidates who can oversee AI‑driven development pipelines rather than write routine code from scratch, reshaping the skill set that employers value..

Financial services, long the most lucrative destination for economics graduates, are undergoing a parallel transformation. Large banks and consulting firms have deployed generative AI models to perform tasks such as data modelling, risk assessment and even strategic recommendation drafting. According to a recent survey by the Chartered Institute of Management Accountants, 62 percent of finance employers plan to reduce entry‑level analyst positions over the next two years, citing AI‑enhanced analytics platforms as the primary driver..

Despite the headline‑grabbing declines, the overall employment picture for graduates remains relatively healthy. The Guardian data shows that 78 percent of computer science alumni and 81 percent of economics alumni were in work or further study twelve months after graduation, only slightly below the 84 percent average across all subjects. However, the proportion of those employed in the highest‑earning brackets—defined as salaries above £45,000—has slipped from 28 percent to 22 percent for computer science and from 24 percent to 18 percent for economics..

University career services are responding to the shifting landscape by revising their advice to students. Many institutions now stress the importance of interdisciplinary competence, encouraging computer science students to acquire data‑science, AI‑ethics and product‑management expertise. Similarly, economics departments are integrating modules on machine‑learning applications in macro‑economic forecasting and financial engineering, hoping to equip graduates with the tools needed to complement, rather than compete with, automated systems..

The private sector is also adjusting its recruitment strategies. Several tech firms announced plans to broaden their graduate schemes to include roles focused on AI governance, prompt engineering and system integration, areas where human oversight remains essential. “We are not abandoning coding,” said Laura Patel, talent lead at a major software company in Cambridge..

“Instead, we are looking for candidates who can bridge the gap between raw AI output and robust, secure products that meet client expectations.” For students currently deciding on their university subjects, the new data introduces a note of caution but not outright alarm. A recent poll of prospective undergraduates by the National Union of Students found that 57 percent still consider computer science a top choice, while 48 percent rank economics among their preferred fields. When asked about their awareness of AI’s impact, however, more than two‑thirds admitted they had not received sufficient information from their schools or career advisors..

Policy makers are beginning to take notice. The Department for Education announced a review of higher‑education curricula aimed at aligning graduate skills with emerging labour‑market needs. A spokesperson said the government would work with industry bodies to develop a framework for “future‑proof” graduate pathways, ensuring that public funding supports programmes that deliver both technical proficiency and adaptability to AI‑driven change..

Critics argue that the focus on AI may overlook other factors influencing graduate employment, such as macro‑economic uncertainty, Brexit‑related trade adjustments and the lingering effects of the pandemic on hiring cycles. Economists at the London School of Economics caution that a single year of data should not be extrapolated into a long‑term trend without considering the broader context of labour‑market fluctuations. Nevertheless, the convergence of AI adoption and declining demand for traditional coding and finance roles marks a pivotal moment for the UK’s graduate labour market..

As firms increasingly rely on intelligent systems to perform tasks once reserved for junior professionals, the competitive advantage will shift toward those who can design, manage and critically assess such technologies. For current and future graduates, the message is clear: adaptability, continuous learning and an interdisciplinary mindset are becoming as valuable as any specific degree..