Dr. Sultan Al Jaber highlighted the UAE's focus on AI as a key economic and social driver, estimating AI's potential contribution to the UAE's GDP at $97.9 billion by 2030. Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is positioned to play a crucial role in achieving the UAE's national AI strategy goals by 2031. The UAE aims to become a global leader in AI, leveraging it across various sectors to enhance efficiency and innovation. Why it matters: This reaffirms the UAE's commitment to becoming a leader in AI, supported by strategic initiatives and investments in education and technology.
This study assesses workforce preparedness for AI in the GCC region, using socio-technical systems theory to analyze national AI strategies and initiatives in KSA, UAE, Qatar, Kuwait, Bahrain, and Oman. The research combines TF-IDF analysis, case studies of MBZUAI and SDAIA Academy, and scenario planning to evaluate the balance between technical capacity and social alignment. The study identifies a potential two-track talent system and emphasizes the importance of regulatory convergence for successful AI adoption.
This paper presents an experience report on teaching an AI course to business executives in the UAE. The course focuses on enabling students to understand how to incorporate AI into existing business processes, rather than focusing only on theoretical and technical aspects. The paper discusses the course overview, curriculum, teaching methods, and reflections on teaching adult learners in the UAE.
The Director-General of the Abu Dhabi Digital Authority, Mohamed Abdelhameed Al Askar, will give a talk on AI adoption in government. The talk will cover key points related to AI utilization within government organizations. Al Askar has experience managing digital initiatives such as the Abu Dhabi Government Services Program (TAMM). Why it matters: This signals the increasing importance of AI in public sector modernization efforts in the UAE and the broader region.