In an era where change is the only constant, the education sector is on the brink of a game-changing transformation, led by advances in artificial intelligence (AI). As we stand on the cusp of the so-called fourth wave of the computing revolution, the responsibility of the education sector, particularly higher education and vocational education and training, to not only adapt but lead in this changing paradigm has never been greater.

During the Applied Machine Learning Days AMLD, held at the EPFL in Lausanne, Switzerland, on 28. and 29. August 2023, a symposium that brought together industry leaders and academics to discuss the future trajectory of generative AI and foundational models, I gained insights that are both enlightening and compelling for the future of education. Here, I'd like to share my thoughts on how education needs to evolve in the face of the AI revolution.

AI: a catalyst for reskilling and upskilling

Based on Professor Daniel Rock's presentation from the University of Pennsylvania at the conference, it appears that we are nearing a time when nearly 80% of occupations will see about 10% of their tasks automated by AI, as per his study on LLM substitution across sectors. This fundamental shift necessitates a reevaluation of training and education programs. Specifically, the higher education and TVET sectors have a unique opportunity to pioneer curricula that focus on the skills of the future and facilitate smooth transitions in the evolving labour market.

For TVET, this means a greater focus on teaching skills that combine technology and human ingenuity, preparing students to harness the power of AI in sectors such as manufacturing, healthcare and services. Similarly, higher education institutions must foster an environment that encourages critical thinking and creativity, enabling students to collaborate seamlessly with AI across diverse professional landscapes.

Avoiding the Turing Trap

The concept of the Turing Trap, which was discussed by Stanford Professor Nigam Shah, emphasises a strategic shift in the focus of educational narratives. Rather than focusing solely on automating tasks traditionally performed by humans, there is a clarion call to envision novel tasks that can be orchestrated with the help of machines.

In response, education strategists need to create learning experiences that go beyond traditional knowledge acquisition. Higher education should pioneer research and development initiatives to explore the uncharted territories that AI can unlock, fostering innovation and entrepreneurship. At the same time, vocational education should facilitate hands-on experiences where students can learn to synergize their efforts with AI, opening the door to more complex and nuanced job roles.

A strategic reinvention of education

At this pivotal juncture, it is imperative for the education sector to strategically reinvent itself, embodying a forward-thinking approach that prepares the younger generation to navigate an AI-enhanced world. It is not just the knowledge we impart, but the skills and vision we foster that will determine the relevance and effectiveness of education in the decades to come.