Archive · 12 Sep 2026
Universities Urged to Prepare Students for an Evolving World
Jobs are changing because technology and artificial intelligence are becoming more common.
Universities still need to teach important academic subjects and deep knowledge.
They also need to help students solve problems, think carefully and keep learning after graduation.
Students can gain practical experience through internships, projects and partnerships with employers.
Learning about AI, data and cybersecurity may be useful in many different careers.
Students should also understand that AI can create questions about privacy, bias, accuracy and responsibility.
Studying more than one subject can help them understand complicated problems from different viewpoints.
Universities can also support students through mentoring, counselling, communities and other services.
Higher education is being asked to combine academic knowledge with practical and transferable skills.
Artificial intelligence and technological change are increasing the need for lifelong learning, reskilling and upskilling.
Employers and universities can work together through curriculum development, internships, live projects and research partnerships.
Interdisciplinary education can help students address complex issues involving technological, social, economic and ethical factors.
Universities are encouraged to support students’ wellbeing while teaching responsible and informed use of emerging technologies.
- Who
- Universities, students, employers and professionals are the main groups discussed.
- What
- The article examines how higher education can prepare people for changing work, technology and lifelong learning.
- When
- As artificial intelligence, technological change and workforce requirements continue to evolve.
- Why
- To help people develop academic knowledge, practical skills, adaptability, technological awareness and the ability to continue learning.
- Core educational balance
- Universities are encouraged to preserve foundational academic knowledge while adding practical and transferable skills.
- Workforce changes
- Artificial intelligence and technological change are altering professional practices and some job tasks.
- Lifelong learning
- Universities could expand reskilling and upskilling programmes beyond traditional degree education.
- Relevant capabilities
- AI literacy, data analysis, cybersecurity, communication, collaboration, creativity, judgement and leadership are highlighted.
- University-industry links
- Potential partnerships include curriculum development, internships, live projects, research partnerships and apprenticeship-oriented models.
- Responsible AI
- AI education should address accuracy, privacy, bias, accountability and responsible use.
- Student support
- Mentoring, counselling, sports, student communities and other services can complement academic and professional development.