Artificial Intelligence (AI) is becoming an important part of our life. So much that, fast, there is a conversation around the jobs and works that people do. There is a real opportunity that many careers that currently aspire for man’s aspiration or craft may not be present in the AI-managed world. So, what is the future of work, how should students prepare for AI in colleges and schools in the present? There is a suggestion of Damis Hasabis, CEO of Deepmind. Their advice to students: You should focus on learning how to learn.

In a recent discussion at Queens College, Cambridge, Hasabis gave clear advice to students who will navigate a possible career in the technical field. “For the next five to ten years, technology is going to have an incredible amount of disintegration and change – especially AI, but VR, AR, quantum computing – all these things look as if they are going to promise,” says Hasbis.

To deal with these changes, Hasabis suggests that students should focus on learning how to deal with information and get new skills. To embrace and adapt to technical changes, Hasabis urged students to prioritize self-khoj, and to master the art of self-learning, to prioritize their graduate years, and to master the art of self-learning. He advised, “It is important to use the time you have as a graduate to understand yourself better and learn how to learn,” he advised.

This ability, he suggested, is more durable and valuable than specific difficult skills, which can be old quickly in front of technological advancement, as AI is already capable of handling hard skills.

Additionally, Hasabis advised students to use their university years, not only to gain basic knowledge but also to detect emerging areas in their time. “Learn the basics through your formal education, but use in your free time so that you are updated when you are graduated,” he said.

Hasabis says that all this is not doom and sadness. “There is any disruption and change at any time, there is also a huge opportunity. We entered a period with internet, mobile and gaming in the 1990s.

Hasabis, whose work, gave him the Nobel Prize in Chemistry in 2024 in Deepmind, also talked about AI’s ability for scientific discovery. “I think we are about to enter a new golden age, Help by AI Tools – Alphafold is the best example ever. I hope we will look back in 10 years and this will be the first of many examples of equipment that change the fields of science and faster it,” he said.