AI may be denting computer science graduates’ job prospects, UK data shows
New data from the 2027 Guardian University Guide suggests artificial intelligence may already be reshaping job prospects for UK graduates in computer science and economics, two subjects that had previously enjoyed strong employer demand. Coding and software development were the fastest-declining graduate occupations last year, while demand for graduates in well-paid finance-related roles such as economists and management consultants also fell, prompting experts to link the trend directly to AI's growing ability to perform coding and analytical work quickly and cheaply.
The graduate outcomes survey, run by the Higher Education Statistics Agency and covering more than 350,000 former students 15 months after graduating in 2024, found the proportion of computer science graduates entering coding or programming jobs fell from around 40% to 28%, while those moving into any graduate-level role dropped from over 60% to 50%. Matt Hiely-Rayner of Intelligent Metrix, who compiles the guide, and Charlie Ball of Jisc both said AI's role was hard to ignore, though Ball noted some graduates were shifting into related fields like cybersecurity, and that finance employers were divided between adapting roles to include AI skills and cutting jobs outright. Separately, the wider university league table placed Oxford, Cambridge and the LSE in the top three overall, with Birmingham climbing to a record 14th place.
In short
- AI linked to falling job prospects for CS and economics graduates
- Computer science graduates in coding jobs fell from 40% to 28%
- Oxford, Cambridge and LSE top the 2027 Guardian university rankings
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The strongest fair case each way — we don't pick a winner.
The case for
Those who see AI as a genuine and urgent disruptor of graduate careers point to the scale and simultaneity of the shift: two unrelated high-paying fields, coding and finance-related analysis, both cooling in the same year, tracked through a large, methodologically robust national survey of over 350,000 leavers. They note that the roles shrinking fastest, routine coding, junior analysis, entry-level consultancy, are precisely the tasks generative AI tools now perform quickly and cheaply, which is consistent with what employers themselves report when explaining hiring decisions. On this view, treating the trend seriously now, rather than waiting for years of confirming data, is the responsible course, since universities, students and policymakers need lead time to adapt curricula and career advice to a labour market being reshaped in real time.
The case against
Sceptics of a firm AI causation urge caution about reading too much into a single year's cohort followed just 15 months after graduation, arguing that graduate hiring is highly sensitive to broader economic conditions such as interest rates, corporate cost-cutting and hiring freezes in tech and finance that predate and are independent of generative AI's capabilities. They point out that some computer science graduates are simply moving into adjacent fields like cybersecurity rather than leaving the sector altogether, suggesting reallocation rather than disappearance of demand, and that the experts quoted have a professional interest, as compilers of league tables and employment data, in offering a striking and headline-friendly explanation. On this view, sound judgement counsels waiting for multiple years of consistent data before attributing a complex, multi-causal labour market shift primarily to artificial intelligence, rather than accepting a plausible but as yet unproven narrative.
Explained simply
Computer science covers areas such as programming and software development, while economics focuses on how economies and organisations work. Graduates in both subjects have often been sought by employers, including technology firms and financial businesses, for roles requiring coding, analysis or advice.
Artificial intelligence can generate code and analyse information, changing the tasks employers need people to do. Its effects may differ across workplaces: some employers are adding AI skills to jobs, while others are reducing recruitment, and some graduates are moving into related areas such as cybersecurity.
The figures come from a survey of more than 350,000 people who graduated in 2024, contacted 15 months after leaving university. They offer a snapshot of early career outcomes and matter to students, universities and employers assessing how work and graduate opportunities may change.