This article represents Part 1 of a 4-part series of perspectives I share on this topic
Throughout history, every major technological revolution has transformed the way human beings access, create, and share knowledge. The invention of the printing press democratized learning by making books widely available. The Industrial Revolution reshaped education to prepare citizens for an emerging economic order. The advent of computers accelerated information processing beyond human capacity, while the internet fundamentally changed how knowledge is stored, accessed, and exchanged across the globe. Each of these innovations altered the educational landscape, but none fundamentally challenged the very nature of human cognition in the way that artificial intelligence now does.
Generative Artificial Intelligence (AI) is not simply another technology. It represents a profound shift in the relationship between humans and knowledge itself. Unlike previous technologies that expanded human access to information, AI increasingly performs intellectual tasks that were once considered uniquely human. It can generate essays, summarize research papers, write software code, solve complex mathematical problems, create policy analyses, translate languages, produce artistic works, and engage in sophisticated dialogue within seconds. For the first time in history, humanity has developed machines capable of producing coherent knowledge artifacts rather than just storing or transmitting information.
This distinction is critical. Search engines such as Google revolutionized information retrieval by helping people locate existing knowledge. Generative AI goes a step further; it creates new content that resembles human reasoning, often making it difficult to distinguish between machine-generated and human-generated thought. While these systems do not “think” in the philosophical sense, their outputs increasingly simulate many aspects of human cognition, raising profound questions about learning, expertise, creativity, authorship, and intellectual development.
The implications for higher education are both extraordinary and unsettling. Universities have embraced technological innovations throughout their history because they enhanced teaching, research, and scholarly communication. Artificial intelligence undoubtedly offers similar opportunities. It can personalize learning, improve accessibility for students with diverse needs, automate routine administrative tasks, accelerate scientific discovery, support interdisciplinary research, and expand educational opportunities to previously underserved communities (UNESCO, 2023). Properly deployed, AI has the potential to become one of the most transformative educational tools ever created.
Yet beneath this optimism lies a far more fundamental challenge that has received comparatively little attention. The central question confronting higher education is no longer whether universities should adopt artificial intelligence; they inevitably have, should and will. Nor is the primary concern whether students will use AI to complete assignments. Those debates, while important, focus on symptoms rather than the underlying issue. The more profound question is this: what happens to human intellectual development when technologies increasingly perform the cognitive work that they were designed to cultivate?
This is not a question about technology. It is a question about the future purpose of higher education.
For centuries, universities have existed as institutions dedicated to cultivating minds rather than simply transmitting information. Their enduring value has never resided in possessing knowledge unavailable elsewhere. Universities flourished long before libraries became widespread because they nurtured habits of disciplined inquiry, logical reasoning, ethical reflection, and scholarly debate. As access to information expanded through books, journals, and later the internet, the university’s purpose did not diminish. Instead, its role became even more important: helping learners distinguish reliable knowledge from speculation, evidence from opinion, and wisdom from mere information.
Artificial intelligence now compels universities to revisit this foundational purpose.
The debate surrounding AI has, in many respects, been framed too narrowly. Discussions often centre on plagiarism detection, academic misconduct, assessment redesign, or the technical integration of AI tools into classrooms. While these are legitimate concerns, they overlook a more consequential risk: the gradual outsourcing of human cognition. If students increasingly rely on AI to analyse, synthesise, evaluate, and generate ideas, they may complete academic tasks more efficiently while simultaneously engaging less deeply in the intellectual processes through which expertise develops. The greatest threat posed by AI to higher education is therefore not academic dishonesty. It is the possibility that universities are inadvertently producing graduates who possess unprecedented access to knowledge yet lack the capacity to think independently about it.
This challenge extends far beyond the classroom. Around the world, democratic societies are confronting growing volumes of misinformation, algorithmic bias, synthetic media, and AI-generated content that blur the boundaries between truth and fabrication. Citizens are increasingly required to evaluate competing claims, verify sources, interpret evidence, and make informed judgments in environments characterised by uncertainty and information overload. In such a world, the competitive advantage of individuals and nations will not depend solely on access to artificial intelligence. It will depend on cultivating citizens capable of questioning artificial intelligence itself.
Consequently, the future of higher education should not be framed as a choice between embracing AI and protecting traditional educational practices. That is a false dichotomy. Artificial intelligence is now an irreversible feature of contemporary society and will continue transforming education, research, industry, healthcare, governance, and public life. The real challenge is ensuring that AI amplifies rather than replaces the uniquely human capacities upon which democratic societies, ethical leadership, scientific progress, and sustainable development ultimately depend.
Re-imagining critical thinking, therefore, is not an argument against artificial intelligence. It is the condition necessary for artificial intelligence to serve humanity responsibly.
The University Has Never Been About Information
To understand why re-imagining critical thinking has become such an urgent imperative, we must first revisit a more fundamental question that has quietly shaped higher education for centuries:What is a university actually for?
This question is surprisingly easy to overlook in an era obsessed with employability, technological disruption, university rankings, salaries, and digital transformation. Increasingly, higher education is evaluated through metrics that emphasise economic returns, research outputs, innovation ecosystems, and workforce readiness. These outcomes undoubtedly matter. Universities contribute significantly to national development, scientific discovery, technological innovation, and economic competitiveness. Yet reducing higher education to these functions alone risks overlooking its deeper intellectual and civic purpose.
The defining characteristic of a university has never been its ability to provide information. Information has always existed beyond university walls. Before the printing press, knowledge circulated through oral traditions, monasteries, and scholarly communities. The invention of print dramatically expanded access to learning. Public libraries further democratized knowledge. The internet subsequently made billions of pages of information accessible within seconds, fundamentally altering how societies learn. Search engines then organised this vast digital landscape, enabling individuals to retrieve information almost instantaneously.
If universities existed primarily to distribute information, they would have become obsolete long before the emergence of artificial intelligence.
Instead, universities endured because their purpose has always extended beyond information itself. Their enduring contribution lies in transforming information into understanding, understanding into judgment, and judgment into wise action. Universities cultivate the intellectual virtues that enable individuals not only to know more, but to think more carefully, question more deeply, and act more responsibly.
This philosophical understanding of higher education has deep historical roots. In The Idea of a University, first published in 1852, John Henry Newman argued that the purpose of a university is not simply vocational preparation or the accumulation of specialised knowledge, but the formation of an “enlargement of mind.” Newman believed that higher education develops the capacity to view knowledge as an interconnected whole, fostering intellectual independence, sound judgment, and disciplined reasoning rather than narrow technical competence (Newman, 1852/1982). For Newman, education was valuable because it cultivated habits of thought that enabled individuals to discern truth amid complexity.
Nearly a century later, the American philosopher and educational reformer John Dewey expanded this by arguing that education is fundamentally a process of reflective inquiry rather than passive knowledge transmission. Learning, he maintained, occurs when individuals confront genuine problems, investigate evidence, test ideas, and revise their understanding through experience. Schools and universities therefore fulfil their democratic mission by nurturing citizens capable of thoughtful deliberation rather than unquestioning acceptance of authority (Dewey, 1916). Dewey’s philosophy remains remarkably relevant in an age where AI can instantly generate persuasive answers. The educational challenge is no longer helping students find information; it is ensuring they possess the intellectual habits necessary to interrogate it.
Similarly, Brazilian educator Paulo Freire rejected what he famously described as the “banking model” of education, in which teachers deposit information into passive learners. Instead, Freire envisioned education as a dialogical process that develops critical consciousness, the capacity to question social realities, challenge assumptions, and participate actively in transforming society (Freire, 1970). Education, in Freire’s view, is not measured by how much information students can reproduce, but by whether they develop the courage and ability to think critically about the world they inhabit.
More recently, higher education scholar Ronald Barnett has argued that universities must prepare graduates not just for known professions but for an increasingly uncertain world characterised by complexity, ambiguity, and rapid change. Barnett suggests that higher education should cultivate what he calls an “ecology of knowing,” where learners develop criticality, resilience, ethical responsibility, and the capacity to navigate supercomplexity rather than simply master established bodies of knowledge (Barnett, 2000; Barnett, 2012). His work is particularly instructive for the AI era because artificial intelligence excels at reproducing existing knowledge but cannot independently and effectively cultivate the moral judgment, intellectual humility, and contextual understanding required for wise human action.
Therefore, Newman, Dewey, Freire, and Barnett articulate a remarkably consistent philosophy despite writing across different centuries and contexts. They remind us that universities exist to cultivate qualities of mind rather than just repositories of information. A true graduate is distinguished not by possessing more facts than others, but by demonstrating stronger judgment, greater curiosity, deeper reasoning, ethical discernment, intellectual courage, and a lifelong commitment to learning.
These qualities have become even more valuable in the age of artificial intelligence. Today, virtually every university student carries in their pocket access to more information than entire research libraries contained only a generation ago. Increasingly, they also carry access to systems capable of summarising, analysing, translating, coding, drafting, and explaining that information almost instantly. Information is no longer scarce; it is abundant. Artificial intelligence is making knowledge generation increasingly abundant as well. The scarcity now lies elsewhere. It lies in wisdom. It lies in discernment. It lies in ethical judgment. It lies in the capacity to determine which evidence deserves trust, which arguments withstand scrutiny, which technologies serve humanity, and which should be challenged.
That is why re-imagining critical thinking has become the defining mission of higher education in the age of artificial intelligence. Universities are no longer the world’s primary custodians of information. Their enduring purpose is far more ambitious. They are the institutions entrusted with cultivating the intellectual character necessary for societies to use information, and now artificial intelligence, wisely.
The future relevance of the university will therefore not be determined by whether it adopts AI more rapidly than other institutions. It will be determined by whether it remains the place where human judgment, ethical reasoning, curiosity, and critical inquiry are deliberately nurtured in a world increasingly capable of automating knowledge production itself.
Let me stop here for Part 1 of this series of articles on this topic; follow my next Part 2 soon, which will deep dive into how Artificial Intelligence Is Changing the Nature of Learning, Not Just the Tools of Learning.
Author
Dr. Gilbert A. Ang’ana is the Dean of School of Leadership, Business, and Technology at Pan Africa Christian (PAC) University whose research focus is on values-based and collaborative leadership and governance in Africa. He is a leadership, governance and policy consultant, teacher and coach and the Founder of Accent Leadership Group and Accent Global Initiative (Think Tank)
Very urgent and critical conversation.
I am reading and thinking, is my cognitive capacity under threat in the era of IA. Maybe, I should be more worrried about the error of AI than the era of AI.
Bethuel Masimane
Very urgent and critical conversation.
I am reading and thinking, is my cognitive capacity under threat in the era of IA. Maybe, I should be more worrried about the error of AI than the era of AI.