The rapid expansion of artificial intelligence (AI) in the Gulf Cooperation Council (GCC) raises a central question: are investments in compute infrastructure matched by an equally robust build-out of skills, incentives, and governance? Grounded in socio-technical systems (STS) theory, this mixed-methods study audits workforce preparedness across Kingdom of Saudi Arabia (KSA), the United Arab Emirates (UAE), Qatar, Kuwait, Bahrain, and Oman. We combine term frequency--inverse document frequency (TF--IDF) analysis of six national AI strategies (NASs), an inventory of 47 publicly disclosed AI initiatives (January 2017--April 2025), paired case studies, the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) and the Saudi Data & Artificial Intelligence Authority (SDAIA) Academy, and a scenario matrix linking oil-revenue slack (technical capacity) to regulatory coherence (social alignment). Across the corpus, 34/47 initiatives (0.72; 95% Wilson CI 0.58--0.83) exhibit joint social--technical design; country-level indices span 0.57--0.90 (small n; intervals overlap). Scenario results suggest that, under our modeled conditions, regulatory convergence plausibly binds outcomes more than fiscal capacity: fragmented rules can offset high oil revenues, while harmonized standards help preserve progress under austerity. We also identify an emerging two-track talent system, research elites versus rapidly trained practitioners, that risks labor-market bifurcation without bridging mechanisms. By extending STS inquiry to oil-rich, state-led economies, the study refines theory and sets a research agenda focused on longitudinal coupling metrics, ethnographies of coordination, and outcome-based performance indicators.

Translating cultural content poses challenges for machine translation systems due to the differences in conceptualizations between cultures, where language alone may fail to convey sufficient context to capture region-specific meanings. In this work, we investigate whether images can act as cultural context in multimodal translation. We introduce CaMMT, a human-curated benchmark of over 5,800 triples of images along with parallel captions in English and regional languages. Using this dataset, we evaluate five Vision Language Models (VLMs) in text-only and text+image settings. Through automatic and human evaluations, we find that visual context generally improves translation quality, especially in handling Culturally-Specific Items (CSIs), disambiguation, and correct gender marking. By releasing CaMMT, our objective is to support broader efforts to build and evaluate multimodal translation systems that are better aligned with cultural nuance and regional variations.

K2 Think compares well with reasoning models from OpenAI and DeepSeek but is smaller and more efficient, say researchers based in Abu Dhabi. The United Arab Emirates (UAE) has released an open source model that performs advanced reasoning as well as the best offerings from both the United States and China--one of the strongest signs so far that the nation's big investments in artificial intelligence are starting to pay off. The new model, K2 Think, comes from researchers at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) located in UAE's capital Abu Dhabi. The model--one of the first so-called "sovereign" AI models that incorporates technical advances needed for reasoning--is being made available for free by G42, an Emirati tech conglomerate backed by Abu Dhabi's sovereign wealth funds. G42 is running the model on a cluster of Cerberas chips, an alternative to Nvidia's hardware.

A United Arab Emirates (UAE) academic lab today launched an artificial intelligence world model and agent, two large language models (LLMs) and a new research center in Silicon Valley as it ramps up its investment in the cutting-edge field. The UAE's Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) revealed an AI world model called PAN, which can be used to build physically realistic simulations for testing and honing the performance of AI agents. Eric Xing, President and Professor of MBZUAI and a leading AI researcher, revealed the models and lab at the Computer History Museum in Mountain View, California today. The UAE has made big investments in AI in recent years under the guidance of Sheikh Tahnoun bin Zayed al Nahyan, the nation's tech-savvy national security advisor and younger brother of president Mohamed bin Zayed Al Nahyan. Xing says the UAE's new center in Sunnyvale, California, will help the nation tap into the world's most concentrated source of AI knowledge and talent.

Today, the rewards of AI are mostly enjoyed by a few countries in what the Oxford Internet Institute dubs the "Compute North." These countries, such as the US, the U.K., France, Canada, and China, have dominated research and development, and built state of the art AI infrastructure capable of training foundational models. This should come as no surprise, as these countries are home to many of the world's top universities and large tech corporations. But this concentration of innovation comes at a cost for the billions of people who live outside these dominant countries and have different cultural backgrounds. Large language models (LLMs) are illustrative of this disparity.

AI tools like ChatGPT can draft letters, tell jokes and even give legal advice – but only in the form of computerized text. Now, scientists have created an AI that can imitate human handwriting, which could herald fresh issues regarding fraud and fake documents. Amazingly, the results are almost indistinguishable from the real thing drafted by human hands. Below is one column of writing by the team's AI model and another by humans, but can you tell which is which? Scroll down to reveal the answer!

President of MBZUAI Eric Xing said current metrics to grade student's intelligence will be very quickly disrupted by artificial intelligence. The president of the world's first artificial intelligence (AI) university said the educational system's current quantifiers of "intelligence" will face disruption from the new technology, allowing students to focus on solving problems rather than simply recalling information. Eric Xing, the president of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi, said many of the ways the current education system qualifies student intelligence are questionable, wherein it is not necessarily focusing on solving problems but rather how much knowledge one can remember. He said that because AI technologies bring about vast amounts of highly accessible knowledge easily gleaned from a textbook, current "intelligence" metrics, such as the medical or legal bar examinations, will be quickly disrupted. EXPERTS SAY AI COULD RADICALLY CHANGE'BROKEN' US EDUCATION SYSTEM FOR THE BETTER: 'READY TO BE DISRUPTED' Prior to his appointment as President of MBZUAI in Abu Dhabi, Eric Xing was a professor in the School of Computer Science at Carnegie Mellon University.

As the United Arab Emirates (UAE) continues to transition from an oil-based economy to a more knowledge-based economy, artificial intelligence is expected to become one of the country's key sectors. The World Economic Forum estimates that artificial intelligence will add nearly $16 trillion to the global economy by 2030. The country's capital city boasts a burgeoning startup community, advanced machine-learning research facilities, and world-class educational institutions like the Khalifa University of Science and Technology (KU) and the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). "These institutions help anchor Abu Dhabi's world-class AI ecosystem," said Dr. Ernesto Damiani, professor and senior director of Khalifa University's Robotics and Intelligent Systems Institute. "The ecosystem is also composed of several large companies that are invested in developing AI applications across a variety of verticals, from healthcare to energy."

MBZUAI has announced plans for a strategic collaboration with IBM (NYSE: IBM). Senior leaders from both organizations signed a Memorandum of Understanding aimed at advancing fundamental AI research, as well as accelerating the types of scientific breakthroughs that could unlock the potential of AI to help solve some of humanity's greatest challenges. Professor Eric Xing, President of MBZUAI, delivered short remarks, as did Jonathan Adashek, IBM's Senior Vice President and Chief Communications Officer, and Saad Toma, General Manager, IBM Middle East, and Africa. The agreement was then signed by Sultan Al Hajji, Vice President for Public Affairs and Alumni Relations at MBZUAI and Wael Abdoush, General Manager IBM Gulf and Levant. "The creation of a center of excellence between MBZUAI and IBM is a natural next step in the evolution of the UAE's groundbreaking AI university. The partnership will strengthen MBZUA's capacity to make practical contributions to the country's sustainable economic development. Working with IBM, MBZUAI will aim to deliver tangible results in wide-ranging sectors, including healthcare, biotech, digital and financial services. Importantly, this collaboration will help also develop the highly skilled talent we need to lead the Fourth Industrial Revolution," HE Dr. Sultan bin Ahmed Al Jaber, UAE Minister of State and Chairman of the Board of Trustees of MBZUAI said.

In operational studies, for example, AI can help operate a port or an airline. With so many dimensions to take into account, AI technologies can further push the limits of strategies to optimise resources. Health care is similar in this regard. Genetic data is massively complex, but it is also incredibly useful for understanding individual human health. This data can only be analysed in real time by AI technologies.