
IMAGINIZE.World 48. AI, The Future of Adaptative Training - Mark Gröb of UPS
Mar 2, 2026
Mark Gröb, immersive technology lead at UPS who builds XR training and explores AI for adaptive learning. He discusses AI-powered, simulation-based training that personalizes practice in real time. He explains RAG and procedural generation for realistic scenarios. He also covers legal, sustainability, and trust challenges around deploying AI in enterprises.
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AI As Human Amplifier Not Replacement
- Mark Gröb argues AI primarily amplifies human work rather than fully replacing humans in most domains today.
- He notes enterprise adoption (Copilot, edge models) increases productivity but humans remain necessary as guardrails against brand and safety risk.
Humans As Necessary Oversight For Nonsterile Environments
- Mark Gröb emphasizes humans provide oversight because environments aren't sterile and AI can make costly errors without human review.
- He points out highly repetitive physical tasks may be automatable, but humans still oversee and correct exceptions.
Learning Lifts In VR To Teach Edge AI Weight Adaptation
- Mark describes using VR to observe human lifting behavior so AI models learn weight-based adjustments for safer handling.
- The AI modeled neural baselines from observed mannerisms to improve edge solutions for stability in lifting and loading tasks.

