
11/05/2025
⁉️How much AI does a university graduate really need to know?
This is not just a timely question—it is an urgent one. As artificial intelligence reshapes industries, professions, and even our daily routines, the need for graduates to engage meaningfully with AI is no longer limited to those in technical fields. It is becoming a shared responsibility across disciplines and sectors.
The answer lies in recognising that AI literacy is not about turning every student into a programmer or data scientist. Rather, it is about cultivating a foundational understanding of how AI systems function, how they influence society, and how they can be used responsibly. Whether one studies business, law, the arts, or healthcare, an ability to work with AI-enhanced tools, interpret algorithmic outcomes, and question the ethical implications of automated decisions is increasingly essential.
In this context, universities must reimagine their curricula. AI should not be siloed within computer science departments; instead, it must be integrated as a cross-disciplinary competency. Critical thinking, digital ethics, data interpretation, and collaboration with intelligent systems should form part of every graduate’s education. This is how we prepare students not just to adapt to the future of work—but to lead it.
The goal is not to overwhelm students with complexity, but to empower them with confidence. When graduates understand the language and logic of AI, they are better equipped to innovate, to question, and to ensure technology serves the common good. In a world increasingly shaped by algorithms, it is human insight—guided by knowledge and values—that will truly make the difference.