What capabilities must a person develop when AI can answer?

The World Economic Forum estimates that close to 40% of the competencies used at work will change before 2030. AI, big data and cybersecurity are growing fast; analytical thinking, creativity, resilience, leadership and collaboration remain central.

This raises the decisive university question: what capabilities must a person develop when they permanently have access to systems capable of generating information, analysis and solutions?

The answer is not a list of competencies

It is an architecture:

1. Observable graduate profile — capabilities formulated as demonstrable behaviours.
2. Competency progression — development milestones across the curriculum.
3. Experiences that generate evidence — challenges and projects where capabilities are genuinely exercised.
4. Process assessment — instruments that capture reasoning and transfer.
5. Verifiable portfolio — longitudinal evidence the market can read.

Skills-first

The OECD describes a transition that prioritises demonstrable capabilities over exclusive reliance on credentials. The university that can explain what each graduate can actually do will have a structural advantage in employability, accreditation and reputation.

The question is no longer what degree you deliver. It is what evidence you deliver.