AI in Higher Education: Teaching Without a Map

We asked 100s of teachers how they’re using AI. The data exposed a gap: surface-level adoption is widespread, but deeper AI integration and institutional support are lagging behind the skills graduates need. So, we asked four questions:

• Adoption: How widespread is the adoption of AI tools in the classroom?
• Alignment: Are institutions and industry keeping pace with this rapid adoption?
• Application: What are the primary use cases and obstacles for AI in teaching today?
• Skills: Where do the most critical AI skill gaps lie for educators?