In November 2022, OpenAI greatly impressed the world with the release of ChatGPT, a conversational chatbot capable of generating coherent and contextually relevant responses to almost any prompt. Three years on, the landscape of artificial intelligence has expanded dramatically, with new models such as Google’s Gemini, Microsoft’s Copilot, and Anthropic’s Claude entering the scene. These tools have revolutionised how we access and interact with information.
Previously, a search in Google or any other search engine would return thousands of links for users to sift through, read selectively, and synthesise into a coherent understanding. Today, a single prompt to an AI platform can return an instant, polished response. AI systems are time-saving and remarkably efficient tools, indeed. However, with this convenience comes a profound question for education and human development: In an age when AI can store, retrieve, and reproduce practically any information, is memorisation still necessary?
At a surface level, the question may prompt an immediate “yes.” However, on closer reflection, it touches on one of the most fundamental aspects of learning and what it means to be human.
Education has long been associated with the acquisition and retention of knowledge—facts, concepts, formulae, and data that together form the foundation of understanding. Memory, in this sense, is not merely a mechanical act of storing information but the essential ground upon which thinking and reasoning grow. Without memory, comprehension and creativity lose their roots. The question, then, is not whether machines can remember, but whether they understand what they remember.
The Merriam-Webster Dictionary defines knowledge as “the fact or condition of knowing something with familiarity gained through experience or association,” while wisdom is “the ability to discern inner qualities and relationships.” Current AI, despite its vast repertoire of facts and data, cannot experience or associate meaning as humans do. It processes information algorithmically, without consciousness or judgement. It can generate text that appears wise, but it does not know in the human sense — it does not remember through lived experience, nor does it grow through reflection.
A computer can store terabytes of data; the internet holds trillions of pieces of information. But no machine can equate to the human mind, which not only recalls but also interprets, connects, and applies knowledge in dynamic and moral contexts. Memorisation in human education is not simply about rote recall — it is about developing the mental discipline and conceptual framework necessary for critical thought, empathy, and wisdom.
Imagine a person without memory. Unable to retain experiences, they would be trapped in ignorance, repeating the same questions endlessly for being unable to remember what they have been told. Human progress depends on accumulated memory through which culture, science, and ethics evolve. Memorisation is needed for critical thinking, problem-solving, and creativity, the skills that AI of today cannot replicate. To abandon memorisation would be to weaken the very structure of human learning and social development.
AI may well be a powerful assistant, or an external extension of human memory, but it can never replace the need for internalised knowledge that shapes judgement, creativity, and moral responsibility. Machines remember without knowing meaning; humans remember for meaning. The future of education, therefore, must not discard memorisation but redefine it: not as the mechanical storage of facts, but as the cultivation of understanding that enables wisdom.
In the age of AI, the question is not whether to memorise, but how to remember wisely.
