Universities rise to the challenge of flexibility to boost STEM skills
The spotlight is on cutting-edge technologies, interdisciplinary laboratories, experiential learning and continuing professional development
The labour market, both globally and nationally, is undergoing an unprecedented structural transformation. Over the past decade, the debate has focused in particular on digitalisation, the automation of routine tasks and the need to increase the number of graduates in STEM subjects.
The Almalaurea data confirm the employment prospects of some of these degree programmes. According to the 2025 Report on the Employment Situation of Graduates, one year after graduation, the employment rate for master’s degree graduates stands at 92.9 per cent in the industrial and information engineering group and 92.7 per cent in computer science and ICT. This figure is consistent with the analyses of the World Economic Forum. In the Future of Jobs Report 2025 – based on the expectations of over a thousand employers representing more than 14 million workers across 55 economies – the professions expected to see the greatest growth by 2030 include AI and machine learning specialists, big data specialists, fintech engineers and environmental engineers.
In the scenario outlined by Microsoft’s Work Trend Index 2025, these roles could find themselves operating within an evolving work organisation: from artificial intelligence viewed merely as an assistant – the ‘human with assistant’ model – there will be a gradual shift towards genuine hybrid human-agent teams in which generative systems will operate as ‘digital colleagues’ capable of planning, acting and optimising complex workflows.
A new organisational structure
This new organisational structure calls for reflection on the role of the university system. A degree remains the key to entering the world of work, but it is no longer sufficient to guarantee a lasting professional advantage. It is no longer simply a matter of filling a quantitative capacity gap, linked to the chronic shortage of technical profiles, but of managing a qualitative redefinition of skills. The pace of technological change is making the risk of skills becoming obsolete (skill instability) an ever more real concern: according to estimates compiled by the World Economic Forum, 39 per cent of the skills required in the labour market could change or become obsolete by 2030.
PwC’s Global AI Jobs Barometer 2025 – a report based on an analysis of nearly a billion job advertisements and thousands of corporate financial documents – highlights that professions exposed to AI are changing at a far faster rate than others. These changes do not only affect the field of computer engineering but also extend to finance, professional services, research, healthcare, advanced manufacturing and managerial roles. Companies will increasingly need not only specialists capable of developing new technologies, but also professionals able to use AI to redesign processes, products and organisational models.

