In an era defined by rapid technological disruption, shifting employer expectations, and growing scrutiny over return on investment, higher education institutions are in the midst of a pivotal moment.
At Global Skills Week 2026, Dr Santiago Schnell, Provost of Dartmouth College, and Dr Fotis Sotiropoulos, Executive Vice President and Provost of Penn State University, joined Dr Maria Spies, QS Chief Innovation Officer, to unpack the tensions, opportunities, and strategic imperatives shaping the future of universities.
The Core Tension: Value Proposition vs Perception Gap
A central theme of the discussion was whether higher education is facing a real value problem or a perception problem. The answer, according to panelists, is both, and that it doesn’t matter which dominates.
Public sentiment is shifting. Seven in 10 Americans believe higher education is heading in the wrong direction, citing concerns around cost, employability, and relevance . This perception is powerful enough to influence policy, funding, and enrollment trends.
However, the panellists argued that universities continue to deliver long-term value, just not in ways that are clearly communicated or easily measured. “Perception becomes reality… we have to embrace the challenge and respond,” Dr Sotiropolous said.
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Skills vs Lifelong Capability: A False Dichotomy
A key debate centered on whether universities should focus on job-ready skills or lifelong intellectual development. Panelists pushed back on the narrow framing of “skills” as short-term, technical competencies. Instead, they emphasized that universities are designed to prepare individuals for 40–50 year careers, not just their first job.
Critical thinking, judgment, and adaptability were repeatedly highlighted as enduring capabilities. Ironically, these are also the very skills employers claim are lacking in graduates. This disconnect reveals a deeper issue, a persistent employer–education perception gap.
Re-Thinking Learning Models
Looking ahead, the conversation turned toward how institutions can design learning models that bridge academic depth with skills relevance. Dr Sotiropoulos pointed to the growing importance of experiential, interdisciplinary learning - where students engage in real-world problem solving, often in collaboration with industry, communities, and research ecosystems. These approaches aim to develop graduates who can apply knowledge creatively and work across boundaries, rather than simply acquire disciplinary content. At the same time, AI is reshaping what it means to learn and to research, raising the level of challenge for both undergraduate and graduate education, and requiring institutions to rethink how they prepare students to work alongside increasingly powerful technologies.
The AI Inflection Point: Answers Are Cheap, Judgment Is Expensive
Artificial intelligence emerged as a defining force reshaping the skills economy. Panelists argued that AI is commoditizing knowledge and answers, making uniquely human capabilities, such as discernment, creativity, and ethical reasoning, more valuable than ever.
“In the era of AI,” Dr Schnell said, “answers have become cheap. It’s judgment that is expensive.” This shift reinforces the importance of higher education’s traditional strengths, particularly in cultivating critical thinking and interdisciplinary problem-solving.
However, it also raises the bar: institutions must redesign learning experiences to reflect a world where students are augmented by AI tools.
A Call for Collaboration
The discussion also touched on the broader relationship between higher education, government, and society. Dr Schnell described a breakdown in trust - a “divorce” between universities and the public - that must be addressed through a new compact grounded in transparency, intellectual diversity, and clearer engagement with societal needs. Without this, the long-term sustainability of higher education systems, particularly in Western contexts, may be at risk.
The Case for Institutional Differentiation
Another critical insight: higher education has become too homogeneous.
In the race for rankings and market share, institutions are converging around similar strategies, missions, and messaging. Dr Schnell warned this is weakening the overall ecosystem.
Instead, he called for greater institutional diversity, with each type – be that liberal arts, research intensive, or employer-led playing a distinct role in the skills economy, and all are needed.
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A Moment of Reckoning and Opportunity
The panel made one thing clear: higher education is not obsolete-but its current model is under pressure.
Institutions that can align long-term intellectual development with short-term relevance, leverage technology without losing humanity, and clearly articulate their value will define the next era of the skills economy.
Strategic Imperatives for Leaders
- Recognize and act on the current inflection point, particularly the transformative impact of AI and changing societal expectations.
- Clearly define and communicate a differentiated institutional value proposition that goes beyond short-term employability.
- Reimagine learning models to integrate experiential, interdisciplinary, and technology-enabled approaches at scale.
- Strengthen partnerships with employers, government, and communities to co-create future-oriented educational pathways.
- Rebuild trust with the public through transparency, evidence of impact, and more effective communication.

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