Abu Dhabi, UAE — As artificial intelligence rapidly transforms how knowledge is created, applied, and scaled, a critical constraint is emerging worldwide: education systems are falling behind the pace of AI innovation.
At Machines Can Think Summit 2026, this challenge will be addressed head-on in a high-level panel discussion titled:
“AI Classroom: Rethinking Education for the Knowledge Economy.”
Taking place on January 26, 2026, in Abu Dhabi, the session will bring together senior academic leaders, research pioneers, and policy voices to examine how universities, research institutions, and governments must fundamentally rethink education to prepare talent for an AI-driven world.
When AI Advances Faster Than Institutions Can Adapt
Artificial intelligence is no longer a niche technical discipline. It is reshaping every domain of knowledge—from scientific research and medicine to governance, economics, and national security.
Yet many education systems remain optimized for static curricula, slow reform cycles, and industrial-era assumptions about skills and careers. As a result, the AI skills gap is rapidly becoming one of the most significant barriers to innovation, productivity, and national competitiveness.
This panel reframes education as a strategic lever in the AI era, asking not incremental questions—but structural ones:
- How must learning models evolve when knowledge itself is continuously changing?
- What skills truly define the AI-driven knowledge economy—and how can they be taught at scale?
- How should universities align with national AI strategies and economic priorities?
- What does lifelong learning mean when technological change is constant, not episodic?
Education as National AI Infrastructure
Rather than treating education as a downstream concern, the discussion positions universities and research institutions as core infrastructure of AI ecosystems.
Panelists will explore how education systems must:
- Integrate AI into teaching, research, and institutional operations
- Redesign curricula around adaptability, systems thinking, and interdisciplinary problem-solving
- Strengthen collaboration between academia, government, and industry
- Support talent pipelines aligned with long-term national AI ambitions
The session emphasizes that AI leadership is inseparable from talent strategy—and that the ability to educate, reskill, and retain expertise will define winners and laggards in the global AI race.
A Distinguished Panel of Global Academic and Research Leaders
🎙 Moderator
Merouane Debbah — Professor and Director, 6G Research Center, Khalifa University
🧠 Panel Speakers
- Tim Baldwin — Provost, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
- Arlie Petters — Provost, New York University Abu Dhabi
- Ray O. Johnson — Senior Advisor, Office of the President, Khalifa University
- Horst Simon — Director, ADIA Lab
Together, the panel represents leadership across AI-native education, world-class research institutions, advanced science labs, and national innovation platforms, offering a rare, system-level view of education’s role in the AI era.
Why This Conversation Matters Now
As AI becomes embedded across economies and societies, the skills gap is no longer a future concern—it is a present-day constraint. Without decisive action, nations risk building advanced AI systems without the human capacity to govern, operate, and evolve them responsibly.
This panel is designed for:
- Government and policy leaders shaping education and AI strategy
- University executives and academic innovators
- Industry leaders reliant on advanced AI talent
- Investors focused on long-term ecosystem sustainability
A Core Pillar of Machines Can Think 2026
The “AI Classroom” session reflects the broader mission of Machines Can Think: to examine artificial intelligence not just as a technological shift, but as a civilizational, institutional, and economic transformation.
By addressing education as a foundational component of AI leadership, the summit underscores that the future of AI will be determined as much by people and institutions as by models and machines.
Event Details
📍 Machines Can Think Summit 2026
📅 January 26, 2026
📍 Abu Dhabi, UAE
🔗 Learn more:
https://lnkd.in/eZdkHBbv
About Machines Can Think 2026
Machines Can Think 2026 is a global AI summit dedicated to real-world deployment, governance, and long-term impact of artificial intelligence. The event convenes leaders across research, enterprise, government, infrastructure, and investment to address how intelligent systems—and the talent that powers them—are built, scaled, and sustained responsibly.
