What happened
The Guardian reports that UK graduate employment data indicates a sharp decline in computer science graduates entering coding and software development roles. The proportion of CS graduates finding professional jobs as coders fell from approximately 40% to 28% last year, while the overall rate of CS graduates moving into any graduate-level occupation dropped from over 60% to 50%. Experts cited in the report attribute this shift to AI tools increasingly handling routine software development and analysis tasks, reducing the demand for entry-level human coders.
The Guardian analyzed data from the 2027 Guardian University Guide, which is based on the Higher Education Statistics Agency's graduate outcomes survey. This survey collected responses from over 350,000 former students 15 months after they completed their courses in 2024.
The data reveals that coding and software development were the fastest-falling occupations for UK graduates last year. Matt Hiely-Rayner, director of Intelligent Metrix, noted that the proportion of computer science graduates finding professional jobs as coders or programmers dropped from about 40% previously to just 28% in the most recent year.
Additionally, the proportion of computer science graduates moving into any graduate-level occupation declined from more than 60% two years ago to just 50%. Hiely-Rayner stated that with AI providing responsive and cheap grunt work, it is hard not to conclude that AI is behind this trend.
Charlie Ball, head of labour market intelligence for Jisc, acknowledged that while there is little direct evidence to definitively prove AI caused the drop, it is very hard to escape the conclusion that AI has played a role. He noted that pure coding jobs seem to have been in particularly short supply in 2025, though graduates are diversifying into roles like cybersecurity and network engineering.
Source details: theguardian.com ↗
Why it matters
This data provides concrete evidence that AI is beginning to disrupt the labor market for entry-level technical roles, a sector previously considered insulated from automation. The decline in hiring for new graduates suggests that AI is not just augmenting existing workers but actively reducing the need for junior staff to perform foundational coding tasks. This shift has significant implications for university curricula, career advice, and the long-term pipeline of skilled software engineers, as employers increasingly expect new hires to be proficient in AI-assisted workflows rather than just traditional programming.
This report marks a significant shift from theoretical predictions of AI disruption to observed labor market data. It confirms that AI agents and tools are capable of producing software and analysis quickly and efficiently, directly impacting the entry-level job market.
The decline in hiring for new graduates suggests that AI is reducing the need for junior staff to perform foundational coding tasks. This has practical implications for career planning, as the traditional path of entering the industry as a junior coder may be narrowing.
Employers are changing their expectations, with many stating they are not replacing jobs but changing them. New hires are increasingly expected to have familiarity with AI tools, indicating a shift in required skills from pure coding to AI-assisted development.
The data also shows similar trends in economics and finance, where employer demand for graduates in well-paid roles has declined. This suggests that AI's impact on labor markets is broader than just software development, affecting any field where routine analysis and report generation are key tasks.
What to watch next
Monitor whether this trend extends to other AI-impacted fields like economics and finance, and observe how universities and employers adapt hiring criteria and training programs to reflect the new reality of AI-augmented work.
Watch for further data on whether the decline in entry-level coding jobs continues or stabilizes as AI tools become more integrated into standard development workflows.
Observe how universities adjust their curricula to better prepare students for an AI-augmented work environment, potentially emphasizing AI literacy and higher-level problem-solving over basic coding skills.
Monitor employer hiring practices to see if the expectation for AI proficiency becomes a standard requirement for all technical roles, or if it remains limited to specific teams or projects.
Look for similar labor market data in other countries to determine if this trend is specific to the UK or part of a global shift in the tech industry's hiring practices.