WEEKEND READING: AI, skills and the UK’s growth challenge: why higher education is now mission-critical

This blog was kindly authored by Nunzio Quacquarelli, Founder and President of QS Quacquarelli Symonds.

The UK’s growth challenge over the rest of this decade is often framed as a question of technology: how quickly artificial intelligence can be adopted, scaled and commercialised across the economy. New research from QS, the University of York and Public First suggests that this framing is incomplete. The binding constraint on future growth is not technology itself, but skills, and in particular, the supply of graduate-level skills delivered through higher education.

The analysis estimates that AI could contribute up to £490 billion in additional economic value to the UK by 2030, lifting annual GDP growth by around 2.8 percentage points. Combined with baseline growth and the government’s strategic industries programme as part of the 2025 Modern Industrial Strategy, this could raise growth rates by around 3.4 percentage points a year.

Yet the same analysis makes clear that these gains are contingent. Without decisive action to strengthen the skills pipeline, much of this potential will remain unrealised.

Growth depends on augmentation, not automation

A central insight from the research is that AI’s economic value is expected to come predominantly from job augmentation rather than job replacement. While around half of the UK workforce faces moderate to high exposure to automation, three-quarters have moderate to high potential for AI-enabled augmentation. Productivity gains will therefore depend on workers’ ability to deploy AI alongside advanced judgement, creativity and domain expertise.

This distinction has profound implications for education policy. Augmented roles tend to be more complex, higher value, and more skill-intensive. They require graduate and postgraduate capabilities, analytical reasoning, advanced digital skills, and leadership – all of which are most reliably developed through higher education.

The Industrial Strategy is already a graduate-skills strategy

Using proprietary labour-market intelligence, the research maps nearly 1,900 UK occupations to the eight priority sectors of the government’s Industrial Strategy. Of the 1,436 occupations identified as critical to delivery, 80 per cent require a bachelor’s degree or higher.

For example the top five occupations in clean energy include engineering specialists in electrical power system, hydrogen systems, wind power systems, solar energy , as well as battery storage technicians. The top five in digital & technology are AI research scientists, machina learning engineers, quantum computing engineers, cloud security specialists and software architects. All of these occupations require a HE first degree, with many also needing postgraduate or doctoral training.

Particularly important are ‘transectoral’ occupations: roles that underpin multiple growth sectors simultaneously. More than 630 such occupations are rated as high or very high importance across two or more strategic sectors, while 131 are critical across three. Roles such as AI research scientist, digital transformation leader and innovation manager sit at the centre of this group.

From an economic perspective, these roles represent high-return, low-regret investments. Shortages here do not simply slow one sector; they constrain productivity across the entire growth model.

Higher education as economic infrastructure

The implication is clear: higher education is not a peripheral actor in the growth agenda but a core component of national economic infrastructure. Over 80 per cent of the most critical occupations identified depend on Level 6 qualifications or above. Without a resilient, well-funded higher education system, AI-driven productivity gains will stall.

This matters acutely at a time when universities face mounting financial pressure: declining international student numbers, demographic dips in domestic demand, and rising delivery costs. The risk is that short-term instability leads to long-term undersupply of the very skills on which growth depends.

At the same time, the analysis highlights unmet demand for reskilling among adults already in the workforce. This will be all the more important as the government develops the lifelong learning entitlement and aligns training with industrial strategy priorities.

Growth will depend not only on new graduates, but on universities’ capacity to deliver lifelong learning at scale, supporting mid-career transitions into AI-augmented roles.

A system-level policy response

What emerges is the need for a shift in how skills policy is conceived and delivered. The UK requires a coordinated, system-level approach that aligns industrial strategy, higher education funding, and workforce development around shared growth objectives. Fragmented interventions will not suffice.

For central government, the message is straightforward: investment in higher education is not consumption spending, but productivity-enhancing capital investment. The fiscal return is realised through higher output per worker, stronger tax receipts, and reduced economic drag from skills bottlenecks.

Policy takeaways: delivering growth through skills

1. Make graduate skills explicit within the Industrial Strategy. Emphasising higher education as a core delivery mechanism for the Industrial Strategy is vital. With 80 per cent of critical roles requiring degree-level skills, industrial policy without graduate supply is structurally incomplete.
2. Protect strategically critical provision. Targeted support is needed to sustain capacity in high-cost, high-value disciplines underpinning AI-driven growth, including advanced engineering, computing and life sciences. Market signals alone are insufficient where national productivity is at stake.
3. Prioritise transectoral occupations. Roles that underpin multiple growth sectors should be treated as a “no-regrets” investment priority for funding, reskilling programmes and visa policy, given their economy-wide multiplier effects.
4. Build a coherent lifelong learning framework. AI-enabled growth depends on reskilling at scale. Universities should be supported to deliver flexible, modular learning for mid-career workers, aligned to labour-market demand.
5. Use labour-market intelligence to guide investment. Skills and occupation-level data should systematically inform funding decisions, course approvals and regional planning, reducing the risk of future bottlenecks and misallocation.

The strategic role of higher education to deliver the Government’s Industrial Strategy report is available here.