Experiments to ecosystems: AI in higher education
Key topics:
- How institutions are moving from experimentation to structured AI adoption
- Key challenges in scaling AI across teaching, research and operations
- Real examples of how strategy, governance and capability are evolving
- What this means for your institution’s next steps
Led by
Dr Maria Spies
Chief Innovation Officer at QS
What’s next for AI, digital learning, and skills?
Benchmark your institution’s AI readiness
The QS AI Capability Assessment is built on a structured framework developed with leading institutions, helping you evaluate your current AI maturity and prioritise where to focus next.
Grounded in the QS AI Capability Framework, it provides a consistent approach to assess progress across strategy, governance, infrastructure and skills with the option to be supported by QS analysts to help interpret results and shape your next steps.
What this enables:
- A clear, structured view of your institution’s AI capability maturity
- Insight into the gaps and dependencies slowing progress
- A prioritised view of actions across strategy, governance, infrastructure and skills
- A consistent framework to guide decision-making and track progress over time
- Optional analyst-led support to translate insights into clear, actionable direction
Take the next step
Want to see how the QS AI Capability Assessment can support your institution? We’ll walk you through the details.