UAE-led AI pact aims to narrow digital divide in Global South

The partnership comes amid rising global concern that emerging technologies could exacerbate inequality. WAM
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Updated 01 August 2025
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UAE-led AI pact aims to narrow digital divide in Global South

RIYADH: Artificial intelligence adoption in the Global South is set to accelerate under a new UAE-led partnership with Malaysia and Rwanda aimed at expanding ethical AI use and knowledge sharing. 

The agreement, signed under the World Economic Forum’s Center for the Fourth Industrial Revolution global network, builds on an initiative launched by the UAE and Rwanda at the 2024 WEF Annual Meeting in Davos, according to a press release. 

The partnership comes amid rising global concern that emerging technologies could exacerbate inequality. The UN estimates the AI market will reach $4.8 trillion by 2033, warning that without inclusive frameworks, the Global South risks being left behind. 

Gobind Singh Deo, minister of digital in Malaysia, said his country “is proud to join forces with the UAE and Rwanda in this visionary initiative to bridge global AI expertise and accelerate digital transformation for a more inclusive and sustainable future.” 

He added: “This partnership involving Malaysia Center4IR, C4IR UAE, and C4IR Rwanda reflects our collective goal for a future that is driven by responsible AI innovation.” 

Singh Deo expressed hope that the C4IR Network AI Fellowship Program, developed through the collaboration, would act as a crucial bridge connecting AI leaders and experts across continents. 

“By sharing knowledge, exchanging talent, and co-creating solutions, we aim to address the critical challenges and harness the immense potential of AI for the benefit of not only our nations, but the wider global community,” he added. 

The memorandum of understanding was witnessed by UAE Minister of State for Artificial Intelligence Omar Al-Olama and Malaysia’s Singh Deo. It aims to deepen South-South collaboration on technology policy, research, and skills development. 

With Malaysia now joining, the expanded C4IR AI Fellowship Program will support talent exchange, joint innovation, and responsible governance frameworks led by Global South countries. 

“This expanded partnership will help the Global South to unlock greater value from AI and Fourth Industrial Revolution applications,” said Khalfan Belhoul, CEO of Dubai Future Foundation. 

“Guided by our leadership, the UAE is committed to building and strengthening global collaboration to achieve inclusive, sustainable development through technology and knowledge sharing,” he added. 

Crystal Rugege, managing director of the Rwanda Center for the Fourth Industrial Revolution, noted that the strategic partnership complemented Rwanda’s flagship initiatives, including the AI Innovation Lab and the Global AI Summit on Africa, thereby enhancing efforts to promote cutting-edge research, knowledge transfer, and capacity building. 

“By strengthening responsible AI governance and accelerating practical AI adoption, we are committed to empowering Rwanda, our partner countries, and the global AI ecosystem to fully leverage AI for sustainable and inclusive development,” she added. 

The Global Center for the Fourth Industrial Revolution Network brings together public and private sector partners to harness emerging technologies while managing their risks. It promotes the responsible use of these technologies through a global network of independent centers.


Artificial intelligence is transitioning into a ‘digital employee’

Updated 27 February 2026
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Artificial intelligence is transitioning into a ‘digital employee’

  • AI can be an effective tool, business leaders tell Arab News
  • Not about jobs, but ‘convergence of human capital and AI’

RIYADH:  Artificial intelligence is fundamentally reshaping the world of work, transitioning from a supporting tool to an active partner that is radically changing the nature of professions and productivity standards.

Amidst the current global transformations, an active regional digital environment is emerging.

This is being led by Saudi Arabia through Vision 2030 and massive investments in smart infrastructure, providing a living model for studying the implications of this partnership between humans and machines on the future of work in the region.

Arab News spoke to various business leaders about the emerging shape of the sector.

Salem Bagami, co-founder of Metatalent, said the ideal relationship between humans and machines at work should be complementary and collaborative.

Humans would bring creativity, emotional intelligence, and complex decision-making, while machines excel at processing big data and performing repetitive, precise tasks.

He believes that this type of balanced partnership would lead to unprecedented productivity and innovation.

While machines excel at processing big data and performing repetitive, precise tasks, humans would bring creativity, emotional intelligence, and complex decision-making. (Supplied)

Mohammad Al-Jallad, chief technologist and director at HPE, said AI has gone beyond being merely an executive tool to becoming a “digital employee” entrusted with automating routine tasks and providing insights based on data analysis.

He believes that the real opportunity lies not in the debate over job replacement, but in “the convergence of human capital and artificial intelligence.”

AI should augment human teams by taking on menial and routine tasks, enabling employees to focus on critical thinking, creativity, and ethical reasoning, significantly improving operational results.

Bagami also emphasized the complementary nature of this partnership. “The ideal relationship between humans and machines at work is one of collaboration, where each complements the others.”

He explained that humans bring creativity, emotional intelligence, and nuanced decision-making, while machines excel at processing big data and performing repetitive tasks efficiently, leading to increased productivity and innovation.

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Salem Alanazi, chairman of Jathwa Technology Co., notes a significant trend among Saudi Arabia companies toward using AI applications to provide faster services to customers at lower costs.

The emergence of the “virtual employee” available around the clock has eliminated the need for some traditional jobs in specific sectors.

Alanazi warns that some companies’ reluctance to adopt AI may expose them to real risks. “All those who hesitated to benefit from AI applications have a lack of understanding of these technologies.”

He said those who adopt these technologies will be able to offer lower-cost, higher-quality services, which will affect the market position of companies that lag behind.

Ali Aljumhour, CEO of VALUE Consultancy, said that the transition of AI into a partner has reshaped the list of most in-demand skills in the job market.

Skills such as “prompt engineering,” “human-machine integration,” and “digital ethics” are becoming increasingly important.

He added that AI has become an instantly available “technical knowledge base,” shifting the criteria for professional distinction toward those capable of smart interaction with these technologies.

In terms of ethics, transparency, and trust, Alanazi points to the complexities of global AI governance, where legislation overlaps and evolves rapidly to keep pace with potential risks, particularly in the areas of cybersecurity and privacy.

Ali Aljumhour, CEO of VALUE Consultancy. (Supplied)

Al-Jallad emphasizes this crucial dimension, noting that providing responsible and reliable AI solutions that meet the highest standards of transparency is a key priority, especially in regulated sectors.

Bagami believes there should be basic standards for the ethical use of Al, emphasizing the need for transparency, accountability, and fairness, along with using diverse data sets to prevent bias and protect privacy.

He believes that building trust between humans and machines requires clear explanations of how systems work, giving users the opportunity to provide feedback and conducting periodic performance reviews.

On performance evaluation, Aljumhour said: “I expect radical changes in standards, shifting from measuring individual effort to evaluating the quality of the partnership between humans and machines.”

There should be a focus on the quality of inputs provided to intelligent systems, the accuracy of review and modification, and complex decision-making based on outputs.

He warns, however, of new risks that may arise, such as over-reliance on AI or difficulty in determining responsibility for mistakes.

In the employment sector, Aljumhour expects fundamental changes in standards.

There will be questions and tests focusing on measuring skills in dealing with AI, such as asking candidates about their experiences of collaborating with these systems, or testing their ability to formulate effective requests for complex tasks.

Aljumhour identifies significant human challenges in this transition, with “fear, loss of power, and exclusivity of knowledge” being the biggest concerns for experienced employees.