A degree certificate shows you finished a course. What gets you hired in an AI-heavy workplace is what you can do that a tool can't, and how well you use the tools.
The World Economic Forum's Future of Jobs Report 2025 lists the ten skills employers expect to grow fastest by 2030:
- AI and big data
- Networks and cybersecurity
- Technological literacy
- Creative thinking
- Resilience, flexibility and agility
- Curiosity and lifelong learning
- Leadership and social influence
- Talent management
- Analytical thinking
- Environmental stewardship
Notice that only three are purely technical. The rest are about how you think, adapt and work with people.
Checking AI's work is now a skill
Microsoft's 2026 Work Trend Index asked which human skills matter more as AI does more of the work. The top answers were quality control of AI output (50%) and critical thinking (46%). Microsoft describes the shift as moving "from generating answers to evaluating, refining, and owning them."
That is good news if you're a student. Universities abroad, especially in the UK, Canada, Australia and Ireland, assess you on argument, evidence and independent work. Those are exactly these skills.
How to build each one during your course
Technological literacy and AI. Whatever your subject, learn to use AI tools properly: write good prompts, check sources, and know when not to trust the output. Follow your university's academic integrity rules. Most now say clearly when AI use is allowed.
Analytical and critical thinking. Take the modules with research projects and data. When you use AI for a first draft, write down what you changed and why. That habit is the skill employers describe.
Creative thinking. Join hackathons, design competitions, student start-up programmes or case competitions. Most universities run them, and they make strong CV lines.
Resilience and flexibility. Studying abroad builds these on its own: a new country, a new system, part-time work and managing money. Learn to describe them in interviews with specific examples.
Leadership and social influence. Lead a student society, a group project or a volunteering team. International employers value evidence that you've worked across cultures.
Curiosity and lifelong learning. Add a short professional certificate in your field (cloud, data, project management, a nursing or teaching registration pathway). It shows you keep learning after the degree.
Pick courses with co-op, placements or industry projects where you can. Real work experience is the hardest thing for AI to fake on a CV, and in countries like Canada, co-op can count towards your study programme.
Where to go next
- Read What should you study in the age of AI? for how subjects compare.
- Explore our careers to see the skills and roles in each field, with related courses at our partner universities.
Sources checked on 26 September 2026.
Choose a career: see its AI outlook, career ladder and example courses at our partner universities.