The View from Davos with MBZUAI’s Eric Xing
From Davos, Patrick Moorhead speaks with MBZUAI President Eric Xing about why world models may define the next frontier of AI research, how to recognize progress beyond narrow intelligence, and what role universities play in balancing innovation, openness, and responsibility.
As AI research pushes beyond pattern recognition, foundational questions are resurfacing about what progress should actually look like. Growth for growth’s sake alone is no longer a sufficient answer.
From Davos, Patrick Moorhead sits down with Eric Xing, President of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), to challenge the assumption that bigger models alone will carry AI forward. The focus shifts to why real progress depends on systems that can reason, plan, and interact with the world, not just absorb more data. Xing also presses on the stakes for academia as AI becomes entangled with geopolitics, regulation, and national strategy, arguing that universities now sit on the front line, defending open research, reshaping education for an AI-native era, and deciding how innovation advances with intent rather than inertia.
Key Takeaways Include:
🔷 World models signal a shift in AI research priorities:
Progress toward more general intelligence may require systems that model the world and can reason about it, rather than simply scaling language models.
🔷 Today’s AI remains fundamentally limited:
Despite rapid advances, current systems still lack the planning, reasoning, and adaptability that define more general forms of intelligence.
🔷 Open science is under pressure:
Rising geopolitical tensions around AI sovereignty and compute are reshaping how universities and research institutions operate globally.
🔷 Responsible acceleration is becoming a leadership challenge:
Balancing innovation speed with societal impact now requires deliberate choices, not default momentum.
🔷 Higher education must adapt quickly:
Universities face urgent decisions about what to stop teaching and what to prioritize in preparing students for an AI-native decade.
Learn more at MBZUIA.
Listen to the audio here:
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