This article is not about any specific university, college or educational provider. It is about a wider problem now visible across parts of the UK education sector: what happens when financial pressure, weak recruitment, market competition, online delivery and artificial intelligence begin to pull education away from its civic purpose and towards something closer to a scalable product.

The fiscal logic is easy to understand

If an educational institution is struggling to recruit students locally, it may look beyond its immediate geography. It may ask whether its existing expertise can be repackaged into online courses, sold through digital platforms, marketed internationally and delivered at scale. In principle, this is not unreasonable. Online provision can widen access, diversify income and preserve courses that might otherwise disappear.

But the same logic also contains a darker possibility.

Existing staff create the intellectual content. That content is packaged into a portfolio of online courses. External partners or platforms help sell it. Once the material exists, delivery can be shifted to cheaper staff, automated systems or standardised support structures. Courses that fail to recruit in sufficient numbers can then be closed, especially if they are campus-based, expensive or seen as insufficiently “market-facing”.

In its most defensible form, this is adaptation.

In its most cynical form, it is extraction.

The pattern is not imaginary. The UK higher education sector is under significant financial strain. The Office for Students has warned of volatile student recruitment, rising operating costs and a substantial number of institutions facing potential deficits without mitigating action. Universities UK has also reported widespread cost-cutting, including course closures, consolidation and redundancies, with many institutions expecting further restructuring. Parliament’s Education Committee has warned that the sector is under “unprecedented” financial pressure, with consequences including redundancies, course and department closures, recruitment freezes and asset sales.

Financial pressure changes language

This matters because financial pressure changes the language of education.

Closure becomes “portfolio rationalisation”. Redundancy becomes “transformation”. Casualisation becomes “flexible delivery”. Automation becomes “innovation”. The shrinking of educational possibility becomes “strategic focus”.

Artificial intelligence intensifies this process. AI does not create the marketisation of education; that process was already well established. But AI makes the managerial fantasy more plausible. If teaching materials can be generated, assessments drafted, feedback automated, student queries handled by chatbots and learning pathways standardised through software, then the human educator becomes easier to describe as a cost rather than as the centre of the educational process.

The seductive model

The result is a powerful and seductive model:

Harvest expertise. Package it. Scale it. Automate it. Sell it globally. Close what no longer pays.

This is where Christopher Lasch’s The Revolt of the Elites remains so relevant. Lasch warned that professional and managerial elites were becoming detached from the communities they claimed to serve. He saw a drift away from civic responsibility and towards abstraction, mobility, expertise and market calculation. In education, that warning feels increasingly uncomfortable. Institutions may continue to speak the language of access, inclusion and transformation while reorganising themselves around recruitment targets, brand positioning, income streams and operational efficiency.

What the problem is not

The problem is not that education should ignore financial reality. That would be naive. Many providers are trying to survive in extremely difficult conditions. Nor is the problem simply online learning. Good online education can be thoughtful, rigorous and humane. Nor is the problem AI itself. Used carefully, AI may reduce administrative burden, improve accessibility and support learning.

The problem is what happens when all these forces align around a single commercial assumption: that education is primarily content, delivery and certification.

Once that assumption takes hold, the institution no longer needs to think of itself as a community of teachers, students, researchers and local obligations. It can think of itself as a brand. The course becomes a product. The student becomes a customer. The educator becomes a content producer. The platform becomes the classroom. The credential becomes the commodity.

Warning signs in adjacent models

There are already warning signs in adjacent models. The growth of subcontracted or franchised provision in England shows how institutional awarding power and brand legitimacy can be used to expand student numbers through external delivery partners. The Office for Students has noted that the number of students taught through subcontractual partnerships doubled to more than 138,000 by 2022–23, and has warned of risks to quality, governance, student outcomes, public money and institutional reputation. Newer regulatory controls are being introduced precisely because these arrangements can carry risks for students and taxpayers if poorly managed.

International examples

International examples are equally revealing. Some online-first models have succeeded commercially, most notably Southern New Hampshire University, which grew from a relatively obscure regional institution into one of the largest online providers in the United States. Its expansion demonstrates that online scale can work financially, but also raises questions about advertising, standardisation, student outcomes and the long-term meaning of university education. Other models, especially those reliant on online programme management companies, have proved more fragile, often because recruitment costs, revenue-sharing arrangements and reputational risks become harder to sustain.

Work for whom, and at what cost?

So the issue is not whether online education, AI or global course distribution can work. They can.

The deeper question is: work for whom, and at what cost?

If these tools are used to widen access, support educators, preserve intellectual depth and reach learners who would otherwise be excluded, then they may be valuable. But if they are used to extract staff expertise, reduce labour costs, close less profitable provision and convert education into branded content, then something more serious is happening.

The institution may survive.

The balance sheet may improve.

The platform may grow.

But the educational community may be hollowed out from within.

Lasch’s warning

Lasch’s warning was ultimately about detachment: elites speaking in the language of progress while losing responsibility to place, memory, community and ordinary democratic life. That warning applies sharply to education today. A provider can become more global while becoming less rooted. It can become more efficient while becoming less humane. It can become more technologically advanced while becoming less intellectually serious.

The quieter danger

The danger is not that AI will suddenly destroy education.

The danger is quieter than that.

It is that AI will make an already marketised system run more smoothly.

And once education becomes primarily something to be harvested, packaged, automated and sold, we may discover that the institution remains standing, but the deeper purpose of education has already left the building.