Learning Has Changed. Expectations Have, Too.

TL;DR
- What it enables: AI transforms passive learning into immersive, intelligent experiences that adapt to individual learners
- What it includes: Virtual simulations, adaptive gamification, real-time AI coaching, and personalized learning paths
- Key elements: Interactive formats, real-world problem-solving scenarios, and data-driven guidance that motivates learners
- Top priorities for 2026 include: Building adaptive learning systems, enabling conversational interactions, and leveraging real-time coaching
- Why it matters: Creates intuitive, relevant learning experiences that redefine educational standards and engagement
From Passive to Immersive
As Claire Zau, AI Lead at GSV Ventures, puts it: passive learning is outdated.
AI is unlocking immersive, intelligent experiences that transform how people learn:
- Simulations: Practice real-world skills in virtual environments
- Gamification: Dynamic challenges that adapt to learner progress
- AI coaching: Real-time mentorship that supports growth, not just completion
The result? Learning that feels intuitive, relevant, and engaging—because it is.
What This Means for Educators and Learning Teams
AI isn’t just enhancing the learning experience—it’s redefining what “good” looks like.
To meet the new standard:
- Build adaptive learning paths that evolve with each user
- Enable interactive formats that mimic real-world conversations and problem-solving
- Leverage real-time data to coach, guide, and motivate learners along the way




