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Michael Woudenberg's avatar

There's another element here is the feminization of degrees where the majority now go to women and, therefore, the universities have begun catering to that with the explosion of soft degree whereas graduation rates for STEM remain quite consistent. In fact, STEM has retained their value, by and large, whereas all other programs have fallen victim to what you've described.

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Matt's avatar

I asked ChatGPT to critique this piece:

Strengths of the piece

Timeliness and relevance:

The article identifies a very real set of pressures on higher education: declining degree prestige, demographic and political shifts, reliance on international student income, and the disruptive role of AI. These are widely recognized dynamics, and the author synthesizes them in a clear, engaging narrative.

Clear framing device:

The “peak degree” metaphor is powerful — it’s memorable, it frames higher education like a commodity bubble, and it helps the reader grasp the argument quickly.

Integration of multiple lenses:

The article moves fluidly between economic (funding models), political (culture wars, immigration), and technological (AI/automation) forces. This interdisciplinary perspective makes the analysis richer than a purely economic or political critique.

Conversational style:

The informal, slightly provocative tone (“universities are the original people smugglers”; “the weird turn pro”) makes the piece punchy and accessible, even if it risks alienating some readers.

Weaknesses and blind spots

Overgeneralization:

Treats “universities” as a monolithic block, when in reality there’s huge stratification (elite vs regional vs vocational).

Treats “degrees” as interchangeable, but the dynamics differ vastly between, say, a Bachelor of Arts and a nursing qualification.

Political dynamics oversimplified:

It suggests universities are simply “ideological enemies” of the right. That misses the pragmatic side: in many countries, conservative governments still fund and rely on higher education for research, regional development, and global competitiveness.

The piece doesn’t fully consider that employers themselves (even conservative-leaning corporations) continue to demand degrees, often as a risk-management shortcut.

Tech determinism:

The claim that LLMs and AI will broadly replace the need for degrees and assessment methods is too linear. Educational technology history shows that disruption is uneven: institutions adapt more slowly but do adapt. AI may reduce cheating in one area while increasing the importance of human validation and ethics training.

Neglect of credential politics:

Degrees aren’t just about skills — they’re about status and signaling. Even if microcredentials and CPD are more practical, degrees carry cultural cachet. Employers may still prefer them because they represent perseverance, socialization, and conformity to institutional norms. That inertia is underplayed.

Weak evidence base:

The article cites one stat (43% of Australians aged 25–34 with a degree) and a single revenue number ($40bn), but otherwise relies on anecdotal observations. Without more comparative data (decline in international student numbers, actual employer hiring trends, etc.), the piece risks being more of a polemic than an analysis.

Areas for refinement / counterarguments

“Peak degree” may not mean collapse:

The piece frames the future as one of collapse, but higher education may instead plateau or diversify. Some institutions will shrink, but others may grow by offering hybrid models (microcredentials within degrees, employer partnerships, stackable learning).

Immigration framing:

Calling universities “people smugglers” is provocative but glib — it overlooks the fact that international students are an essential labor and demographic strategy for aging economies like Australia’s. Governments may attack student visas rhetorically, but in practice, they often re-open them quickly because of workforce shortages.

Employer incentives:

The article assumes employers will embrace microcredentials, but employers are risk-averse. Degrees are a blunt but efficient filtering tool; abandoning them requires institutional reform of HR practices — which historically changes very slowly.

Culture wars dynamic:

While it’s true that U.S. universities are battlegrounds, in other countries (including Australia) this dynamic is less acute. The article risks universalizing an American trend.

AI disruption:

The “handwritten exams will make a comeback” claim is clever, but probably overstates the regression. More likely, universities will blend AI literacy into teaching and assessment — with oral defenses, applied projects, or collaborative assignments — rather than simply returning to pen-and-paper.

Bottom line critique

The piece is a sharp, provocative take that captures real vulnerabilities in higher education. But it leans heavily on broad generalizations, tech determinism, and rhetorical flourish, while underplaying the resilience of universities as entrenched institutions with deep political and cultural capital. Rather than “peak degree” as a moment of collapse, the future is more likely one of slower evolution, uneven disruption, and stratification — with elite universities remaining powerful, vocational institutions adapting, and middle-tier universities under pressure.

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