16 September 2026
Across UK higher education, there is growing consensus that universities must develop graduates who can drive productivity and growth. The government’s skills agenda, the Russell Group’s shared commitments and employer voices all point in the same direction. The risk, however, is that “skills” get interpreted too narrowly as short-term technical training, rather than the blend of disciplinary knowledge, applied capability and higher-order human judgement that graduate employers say they need.
At the same time, AI is reshaping how work gets done and raising urgent questions about what graduates will need to thrive. Whilst it is tempting to describe this as a moment of unprecedented change, we should also recognise what is not changing. When institutions look at the evidence, a consistent pattern holds. The World Economic Forum’s Future of Jobs report cites the most sought-after capabilities as analytical thinking, creativity, resilience, leadership and ethical reasoning. Technical and AI skills matter, but they are most valuable when combined with these wider human capabilities. Universities increasingly recognise that AI is not just a technical or integrity challenge, but part of a wider question about the development, assessment and accrediting of graduate formation.
Research with students makes the challenge more concrete. Bright Network’s 2026/27 What Do Graduates Want? report, based on over 10,000 respondents, shows that students often assume that recruiters prioritise industry experience and degree classifications above all else. They’re often wrong. Employers increasingly want something harder to fake and harder to automate: the ability to synthesise information, navigate ambiguity, communicate with precision and show judgement under pressure. These are not soft skills in the dismissive sense. They are the hard work of human development that universities are distinctively positioned to support.
So how should institutions respond? Three shifts seem particularly important.
First, universities need to be more deliberate about graduate formation, not just graduate outputs. Formation is a richer concept than skill acquisition. It’s about developing the whole person — their capacity to think, to relate, to act and to reflect. That means asking not just what graduates know, but who they are becoming through their time at university. This isn’t a retreat from rigour; it’s a recognition that the most employable graduates are often those who have been most deeply challenged to grow as people, not just as practitioners.
Second, we need to close the loop between what universities say they’re developing and what students and employers actually experience. There is often a gap. Universities articulate ambitious graduate attributes in their strategies and frameworks, but students frequently don’t recognise themselves in those descriptions, and employers can struggle to see the connection between institutional claims and actual graduate behaviour. Closing that gap requires better co-design between academic staff, students, employers and professional bodies — and better assessment practices that make graduate formation visible, not just measurable.
Third, universities need to lead on the responsible integration of AI into learning. This isn’t primarily about academic integrity, though that matters. It’s about helping students understand when and how to use AI effectively, ethically and critically — and when not to. The graduates who will thrive are not those who resist AI, nor those who outsource their thinking to it, but those who can use it as a powerful tool while retaining their own judgement, creativity and moral agency. Universities have a distinctive role in developing that capacity, but it requires intentional curriculum design, not just policy responses to emerging risks.
None of this is straightforward. Universities are under significant financial pressure. The policy environment is volatile. Staff are stretched. And the temptation to focus on short-term recruitment metrics can crowd out the longer-term work of institutional development.
But the case for investing in graduate formation has never been stronger. In a world where AI can replicate many technical skills, the human capacities that universities develop — critical thinking, ethical reasoning, creative problem-solving, collaborative leadership — are becoming more valuable, not less. The question is whether universities will seize that opportunity, or allow it to pass by default.
The institutions that will thrive are those that take graduate employability seriously not as a metric to be gamed, but as a mission to be pursued. That means being honest about what they’re doing well, rigorous about where the gaps are, and genuinely committed to the development of their students as whole people, ready for a world that will continue to change in ways none of us can fully predict.
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