AI at The Academy

Is it still worth learning to program, or to invest significant time into subjects that AI seems to have shown significant proficiency?

In order to develop taste, to judge if something is good or correct, deep knowledge and experience are necessary. Whether evaluating a scientific explanation, a mathematical proof, a work of art, a piece of writing or code generated by AI, you first need to know what good looks like. That judgement is earned through years of learning and practice.

Becoming good at something takes time and requires deft feedback through the ups and downs, the successes and challenges. Importantly, the effort and work also needs to be acknowledged by those who can judge its quality. There is a human connection there.

It is important to keep in mind that the adolescent journey is one of self-actualisation. There is a need for every young person to know that they are good at something and that this knowledge or skill is interesting and useful to others. It is a quest for connection.

Throughout this process, you build character. And as well as learning something, you become more interesting. You have stories and perspectives to share, and experiences that connect you with others.

AI is a power amplifier if you are already good at something and can judge the output. But for the inexperienced, it will remain soulless and unreliable.

We have the strong belief that passion, backed up with the love of learning and willingness to dive deeply into something, will lead to fruitful and surprising opportunities. Productive and passionate people always shine.

Students shouldn’t choose or avoid subjects based on speculation about what AI might do in ten years' time. We want them to pursue expertise, develop solid judgement, and maintain genuine curiosity. These qualities have always been valuable, and we believe they will remain so regardless of how technology evolves.