At a time when UK employers are receiving an average of 140 applications per graduate vacancy, it’s not surprising that students and their families are worried that a degree alone is not enough to prepare for a post AI job market.
In a climate of uncertainty, parents desperately want to know how their children can set themselves apart from the competition after graduation.
As a result, universities and business schools are scrambling to offer new AI modules. These range from online platforms to bootcamps which promise to make students ‘AI-ready.’ The race to provide an AI education sends a clear message, that AI is an essential skill, and those without it will be left behind.
However, students are increasingly sceptical about courses designed to teach AI, and they’re right to be.
We need to stop thinking of AI as a technique we use for a specific purpose. AI is not a tool like a lathe, a spreadsheet, or a programming language which requires training so you can fulfil a defined function.
For a start, there is no syntax to learn and no interface to master with Generative AI – these change every six months anyway. The skills you need for AI are not technical skills, they are thinking skills such as clarity of intent, critical judgment, creativity, and the ability to reframe problems when stuck. Skills that have always mattered for intellectual work.
Three fundamentals of AI education
AI doesn’t change what good thinking looks like, it amplifies the difference between good and poor thinking, so these are the areas education needs to focus on.
1. The art of dialogue
Working well with AI means having a clear goal. It means exploring possibilities before converging on answers, challenging outputs rather than accepting them, and reshaping questions when conversations stagnate.
These aren’t AI skills. They’re the skills of a good thinker.
2. Critical independence
AI is so easy to use, we find ourselves asking why we should struggle when machines can produce what we need. That’s why students must develop the ability to judge whether AI is accelerating their thinking, or whether it’s substituting the thinking they should be doing themselves.
Knowing when not to use AI may be the most important competency of all. As a rule of thumb, students should ask themselves whether they would submit their question to a human tutor. If yes, this is a good use of AI. If not, this is pure cognitive offloading, and students will pay the price sooner or later.
3. Creative agency
AI excels at pattern matching and recombination, not creativity. So students need to know how to frame their question, problem, and objectives when they are using AI, because this makes a huge difference to the outcome.
Education must cultivate students’ ability to venture beyond what AI can generate. AI output only goes so far. It takes human imagination to see how a mobile phone can become an entire computer in the palm of your hand, or a car can take us on adventures and broaden our horizons.
What employers need in the age of AI
To stand out in the job market, graduates don’t just need to master AI, they also have to be good at connecting with other humans.
Organisations are actively looking for people who can create constructive relationships with others. The World Economic Forum’s Future of Jobs Report 2025 identified socio-emotional skills such as empathy, collaboration, social influence and resilience, as among the fastest-rising competencies employers seek. At Forward College, for instance, this happens through a structured personal development programme building social skills and emotional intelligence over the course of the degree.
In a world of uncertainty, social skills will endure, because they draw upon the core nature of human beings as social animals. Unlike technical know-how, these skills can’t be picked up from a course or a chatbot. Students have to practise, test, and build them over time with their peers.
The institutions racing to add AI modules to their curricula are asking the wrong questions. Rather than asking, ‘How do we teach students to use AI?’, we should be asking, ‘How do we cultivate the judgement needed to extract value from AI?’ and ‘How do we develop students’ capacity to interact with other humans?’
The institutions that understand this won’t be teaching AI as a subject, they will embed it into how they teach. They’ll be taking the opportunity of the AI moment to rediscover what education should have been all along, the formation of minds that can think clearly, question boldly, create originally, and judge wisely.
The machines will take care of everything else.
