In this expert session for the DesignXR Hackathon 2026, Ulrich Buckenlei, CEO of Visoric, explores how the convergence of Artificial Intelligence (AI) and Extended Reality (XR) is moving beyond futuristic hype to solve concrete industrial challenges.
The Core Challenge: Communicating Complexity
Technology is becoming increasingly complex, creating a widening gap in our ability to explain and teach essential skills . Traditional training methods often fail to bridge this divide.
Did you know?
Studies suggest that 70% of knowledge transfer is lost after traditional training, while immersive environments can improve learning outcomes by four times .
Real-World Case Studies
1. Dain – Spatial Lightning Protection
By utilizing the Apple Vision Pro, the team made complex physical processes spatial and intuitive. This eliminated language barriers and allowed stakeholders to visualize damage and mitigation strategies without a single word.
2. Siemens Power Academy – Gamified Learning
A browser-based 3D learning platform developed for the Hannover Messe. It allows users to explore virtual turbines and run simulations without needing to visit a physical power plant.
The Synergy of AI and XR
Neither technology reaches its full potential alone. The combination creates massive leverage :
- XR: Makes invisible processes experiential, keeping the scale 1:1 with reality .
- AI: Accelerates development, supports decision-making, and personalizes training based on real-time data .
Scaling: Five Levels to an XR Platform
Ulrich proposes a framework to assess organizational maturity :
Experimental trials without strategy or ownership.
Real use cases exist but live in silos.
Systems become stable; XR acts as infrastructure .
XR/AI connected to core business systems with measurable ROI .
The organization operates via a real-time digital twin .
Key Takeaways for Success
- Spatial Beats Linear: Non-linear, interactive storytelling provides info at the right place and time .
- Gamification is Serious: Leverage gaming mechanics to perfect human interaction and learning .
- Integration is Reality: Solutions must be integrated into daily workflows to be more than a novelty .
- Scalability Requires Personalization: Use AI to adjust the experience to individual learners .
Conclusion: Success in this space requires more than just budget; it requires a dedicated product owner and an enthusiastic team ready to embrace change .