Technology
FROM PILOTS TO POWER INFRASTRUCTURE: HOW THE GCC IS ENGINEERING THE NEXT PHASE OF AI
By Farid Yousefi, Founder & CEO, Finder Group Ai
Artificial intelligence in the Gulf Cooperation Council (GCC) is entering a decisive new chapter. What began as experimentation, ie, isolated pilots, proof-of-concept chatbots, and innovation lab demos, is rapidly evolving into something far more consequential. In 2026, AI will no longer sit at the periphery of digital transformation strategies. Instead, it will operate as a foundational layer of economic, industrial, and civic infrastructure, embedded into how energy systems run, how governments serve citizens, and how capital flows through the region.
This shift reflects a broader reality: the GCC is no longer merely adopting global AI trends, but actively shaping its own AI paradigm, one that is grounded in sovereign control of data and compute, tuned to Arabic language and local context, and aligned with national visions that prioritize scale, speed, and long-term resilience. The region’s ambition is not incremental improvement, it is to redefine how intelligence itself is designed, governed, and deployed at national scale.
The Maturation of Generative and Agentic AI
By 2026, the most significant leap in AI capability across the GCC will come from the maturation of generative AI and “agentic” AI systems. These technologies move beyond passive analytics or conversational interfaces. Agentic AI can reason, plan, and take actions across complex workflows, effectively acting as a digital operator rather than a static tool.
Crucially for the region, large language models fine-tuned for Arabic dialects and Gulf-specific context are rapidly improving. This has profound implications. Customer-facing AI systems are becoming genuinely fluent, capable of understanding nuance across Modern Standard Arabic, Gulf dialects, and bilingual Arabic-English interactions. Banks can now deploy AI-driven fraud detection and customer support in Arabic without sacrificing accuracy or trust. Governments can offer multilingual virtual assistants that guide citizens through services with clarity and cultural sensitivity.
Beyond language, real-time predictive analytics is reaching operational maturity. In energy and utilities, AI models are being trained to detect early warning signs of equipment failure on oil rigs, pipelines, and power grids. The economic impact is significant: preventing a single unplanned outage can save millions of dollars while improving safety and environmental outcomes.
In logistics and smart cities, multimodal AI, systems that simultaneously process images, sensor data, and text, is transforming operations. Ports are using AI to automate customs paperwork and optimize cargo routing. Cities like Dubai and Riyadh are deploying AI to dynamically manage traffic congestion, monitor infrastructure health, and improve public safety. These capabilities signal a clear transition: AI is no longer an experimental back-office function, but front-line infrastructure, intelligence delivered as a utility.
Redesigning Government and National Infrastructure Around AI
This technological maturation is reshaping how GCC governments think about digital services and national-scale infrastructure. Traditional e-government portals, static, form-based, and siloed, are giving way to AI-powered concierge models. Instead of navigating multiple platforms, citizens increasingly interact with a single intelligent agent.
Imagine a system that can visually review submitted documents, understand a request in natural language, and execute transactions across multiple departments in one seamless interaction. This is not a distant vision. Across the GCC, ministries are already using generative AI to automate administrative tasks, summarize regulations, and simulate policy outcomes. These early deployments foreshadow a future where agent-based systems anticipate needs and act proactively.
Mega-projects and smart city initiatives are embedding AI from inception rather than retrofitting it later. With dense networks of IoT sensors feeding real-time data, cities such as NEOM, Riyadh, and Dubai are building AI “control layers” that continuously monitor traffic, energy consumption, water usage, and security. Agent-based systems can then coordinate responses, rerouting vehicles, balancing power loads, or flagging anomalies, without waiting for human intervention.
The result is self-optimizing infrastructure. Humans remain responsible for strategy, ethics, and oversight, while AI executes decisions at machine speed. This represents a fundamental shift in governance and urban management: designing for intelligence at scale rather than manual supervision.
Sovereign Compute: The Backbone of GCC AI Ambitions
None of this transformation is possible without a parallel revolution in AI infrastructure. The GCC’s aspiration to become a global AI hub hinges on sovereign compute capacity – control over the data centers, chips, and energy that power advanced AI models.
Over the past two years alone, sovereign wealth funds across the region have mobilized more than $100 billion toward AI infrastructure. This scale of investment is unprecedented, outpacing even Europe. Landmark initiatives such as Abu Dhabi’s Stargate project, a multi-gigawatt data center campus designed to host and train large AI models on local data, and Saudi Arabia’s plans for up to 6 gigawatts of AI data centers under its HUMAIN initiative exemplify this ambition.
The region enjoys a structural advantage in this race: energy. Power costs in the Gulf are less than half those in many European markets, providing a natural edge in the energy-intensive process of training large models. At the same time, operators are innovating to address environmental and climatic challenges. Advanced cooling technologies, including liquid immersion cooling, are being deployed to operate efficiently in summer temperatures exceeding 45°C. Renewable energy integration is also increasing, aligning AI growth with sustainability goals.
Equally important is sovereign control over hardware. GCC nations are investing in local chip design programs and forging strategic partnerships to secure access to cutting-edge AI processors. In an era of global supply-chain uncertainty, this control over compute is becoming as strategically important as control over oil reserves once was. The region is effectively converting its natural advantages of capital and energy into a durable compute advantage for the AI age.
Where ROI Is Materializing First
From an investment standpoint, the strongest returns in the GCC are emerging where AI delivers direct, measurable impact. Predictive maintenance in energy and utilities is a prime example. AI systems that prevent equipment failures or optimize drilling operations offer immediate cost savings and operational resilience. Unsurprisingly, pilots in oil and gas—such as AI models analyzing drilling plans—are rapidly scaling into production environments.
In financial services, AI-driven fraud detection, risk scoring, and KYC automation are moving from experimentation to enterprise-wide deployment. Banks across the region have demonstrated that these systems reduce losses, improve compliance, and significantly speed up customer onboarding. Customer service automation is also reaching maturity. Telecom operators, airlines, and government agencies that once piloted Arabic-language chatbots are now preparing to replace tier-one support entirely with AI agents, improving availability while lowering costs.
Logistics represents another high-ROI frontier. Gulf ports and free zones are scaling AI solutions that automate documentation, optimize cargo flows, and reduce bottlenecks. Successful trials have shown faster throughput and improved competitiveness—critical advantages for economies positioning themselves as global trade hubs.
The common thread is pragmatism. Investors and enterprises are increasingly prioritizing AI that solves real problems and delivers returns per dollar invested. The era of AI experimentation without clear outcomes is giving way to disciplined scaling of proven use cases.
Regulation as an Accelerator, Not a Constraint
As AI adoption accelerates, governance has become a central pillar of the GCC’s strategy. National AI frameworks in the UAE, Saudi Arabia, and Qatar are establishing trust-first guardrails focused on transparency, accountability, and human oversight. These policies are not designed to slow innovation, but to ensure it scales safely.
Saudi Arabia’s guidelines, for example, mandate human oversight for public-sector AI and require transparency measures such as watermarking AI-generated content. Qatar’s central bank has introduced governance rules requiring audits and human review for high-stakes algorithms. These frameworks inevitably influence data flows, encouraging sensitive information to remain within national borders.
While this localization may initially limit free cross-border data movement, it is simultaneously fueling massive investment in regional cloud and data center infrastructure. Over time, regulatory alignment across the GCC, particularly around shared principles of fairness, accountability, and transparency, will enable AI solutions certified in one country to scale regionally. Clear rules reduce uncertainty, giving enterprises and investors confidence to deploy AI at scale.
The Hidden Risks of Autonomous AI
Despite the momentum, risks remain, and some are underestimated. One of the most significant is overconfidence in AI accuracy. Even advanced models can hallucinate or fail, particularly when dealing with local dialects or sparse data. In high-stakes sectors such as security, healthcare, or law enforcement, such errors can have serious consequences. Human oversight is therefore not optional, regardless of how autonomous a system becomes.
Operational fragility is another concern. Many organizations overlook infrastructure dependencies, such as reliance on imported GPUs or insufficient cooling and backup power for data centers. In the Gulf’s climate, these vulnerabilities can quickly become systemic risks. Cybersecurity also takes on new dimensions as AI systems gain autonomy, expanding the attack surface for malicious actors. A compromised AI traffic system or a convincing deepfake could undermine public trust overnight.
Finally, reputational and regulatory backlash remains a risk if AI is misused or deployed without adequate safeguards. A single incident involving biased decision-making or a privacy breach could slow adoption across entire sectors. Rigorous testing, transparency, and fail-safes, the unglamorous aspects of AI, are essential for sustainable progress.
Who Will Lead the GCC AI Race?
By 2026, leadership in the GCC AI landscape will be shaped by a combination of talent, data, sovereign strategy, and investment appetite. The UAE and Saudi Arabia are poised to lead, each leveraging distinct strengths. The UAE’s early-mover advantage, world-class institutions such as MBZUAI, and deep integration of AI into daily life have positioned it as a global reference point for adoption. Saudi Arabia, meanwhile, brings unmatched scale, capital, and data assets particularly in energy, making it the region’s AI infrastructure powerhouse.
Other GCC nations will lead in targeted ways. Qatar is emerging as a center for ethical AI and safe deployment, Bahrain as a pioneer in cloud-first government integration, and Oman as a steady builder of digital infrastructure and local talent pipelines. Across industries, government services will continue to drive adoption, while energy and finance lead commercially.
From Oil Wells to “Intel Wells”
Ultimately, the GCC’s AI journey is about more than technology, it’s about redefining economic value creation. The region is moving from oil wells to “intel wells,” treating data and insight as the new strategic resource. At Finder Group AI, our mission is to connect the region’s abundant capital with its brightest innovators responsibly, transparently, and at scale.
By 2026, the global conversation will shift from AI hype to AI habitat. The Gulf will not just be adopting AI, but exporting a new standard, one that balances cutting-edge innovation with trust, governance, and purpose. The rise of the GCC as an AI hub will create opportunities far beyond its borders, shaping the next phase of the global AI economy on the region’s own terms.
-Ends-
About the Author:
Farid Yousefi is a serial entrepreneur and innovator leading the development of Finder Group Ai, an AI-powered venture builder ecosystem based in Dubai. With a strong background in strategy, business development, and technology adoption, his focus is on helping ideas transform into scalable businesses through AI-driven solutions.
His work spans across building and mentoring startups, forging partnerships, and guiding ventures from ideation to growth. He is passionate about creating impact through technology, developing sustainable ecosystems, and supporting founders on their journey through in-depth technical and industry knowledge and expertise and access to a global network of venture capitalists and angel investors to attract investment, and through partnerships at the highest level within government to aid integration and scale rapidly within local territories.
Tech News
VERTIV INTRODUCES NEW MODULAR LIQUID COOLING INFRASTRUCTURE SOLUTION TO SUPPORT HIGH-DENSITY COMPUTE REQUIREMENTS IN NORTH AMERICA AND EMEA
Vertiv (NYSE: VRT), a global leader in critical digital infrastructure, today announced new configurations of the Vertiv™ MegaMod™ HDX, a prefabricated power and liquid cooling infrastructure solution engineered for high-density computing environments, including artificial intelligence (AI) and high-performance computing (HPC) deployments. The new configurations give operators flexibility to support rapidly increasing power and cooling requirements while optimizing space and deployment speed. The models are available globally.
Vertiv MegaMod HDX integrates direct-to-chip liquid cooling with air-cooled architectures to meet the intense thermal demands of AI workloads, supporting pod-style AI environments and advanced GPU clusters. The new compact solution has a standard module height and a maximum of 13 racks and power capacity up to 1.25 MW; the combo solution has an extended-height design with a maximum of 144 racks, supporting power capacities up to 10 MW. Both can support rack densities from 50 kW up to more than 100 kW per rack. The hybrid cooling architectures integrate direct-to-chip liquid cooling with air cooling for efficient, high-density thermal management, while the prefabricated modular designs enable accelerated deployment and allow customers to scale their data centers as demand grows.
“Today’s AI workloads demand cooling solutions that go beyond traditional approaches. With the Vertiv MegaMod HDX available in both compact and combo solution configurations, organizations can match their facility requirements while supporting high-density, liquid-cooled environments at scale. Our designs deliver what data centers need most—reliable performance, operational efficiency, and the ability to scale their AI infrastructure with confidence,” said Viktor Petik, senior vice president, infrastructure solutions at Vertiv.
The Vertiv MegaMod HDX models feature innovative hybrid cooling architecture, combining direct-to-chip liquid cooling with adaptable air systems in a fully integrated, prefabricated pod. The solutions feature distributed redundant power architecture enabling continuous operation even if one module goes offline. Additionally, the buffer-tank thermal backup system allows GPU clusters to maintain stable operations during maintenance or load transitions. This factory-integrated design enables repeatable precision in deployment while providing cost certainty for planning and scaling AI infrastructure.
This prefabricated design, combined with factory integrated and fully tested components and Vertiv’s global service network, provide dependable end-to-end support.
Vertiv’s extensive portfolio of power, thermal, and IT management solutions supports a wide range of data center architectures, enabling customers to meet rising density demands with scalable, high-performance infrastructure. Both configurations draw on this broader portfolio, including the Vertiv™ Liebert® APM2 uninterruptible power supply (UPS), Vertiv™ CoolChip CDU cooling distribution unit, Vertiv™ PowerBar busway system, and Vertiv™ Unify infrastructure monitoring.
Vertiv also offers IT rack infrastructure designed to seamlessly accommodate and support IT systems, including Vertiv™ racks and Vertiv™ OCP- compliant racks, Vertiv™ CoolLoop RDHx rear door heat exchanger, Vertiv™ CoolChip in-rack CDU, Vertiv™ rack power distribution units, Vertiv™ PowerDirect in-rack DC power system, and Vertiv™ CoolChip Fluid Network Rack Manifolds.
Tech News
HOLCIM UAE JOINS IRENA’S ALLIANCE FOR INDUSTRY DECARBONIZATION (AFID)
Holcim has joined the Alliance for Industry Decarbonization (AFID) under the International Renewable Energy Agency (IRENA), reinforcing its commitment to play an active role in shaping the future of low-carbon construction in the UAE and beyond.
Formalized during Abu Dhabi Sustainability Week in January 2026, the membership marks a strategic milestone in Holcim UAE’s evolution from operational decarbonization to sector-wide leadership. Through AFID, Holcim is partnering with a government-led alliance, bringing its established expertise and operational leadership in sustainable building materials and solutions to policy and industry dialogues shaping the future of industrial activity in the UAE.
AFID brings together governments, international organizations, and leading industrial players to accelerate the implementation of technologies and practices across hard-to-abate sectors. Holcim’s participation reflects a deliberate focus on collaboration with policymakers and industry peers, ensuring that regulatory frameworks, investment signals, and technology pathways are informed by real-world industrial experience.
“Industry decarbonization requires practical action at scale, supported by the right policy direction. Joining AFID allows Holcim to engage at that intersection, bringing perspective shaped by practical experience to conversations that matter for the UAE’s low-carbon future,” said Ali Said, CEO of Holcim UAE and Oman.
AFID’s work spans priority areas such as Renewables, Carbon Capture, Utilization, and Storage, Circularity, Green Hydrogen, Human Capital, and Climate-aligned Finance. These focus areas closely align with Holcim’s long-term strategy where sustainability underpins how the business operates, invests, and works with partners across its value chain.
By joining AFID, Holcim reinforces its positioning as a partner focused on contributing to the broader systems and collaborations that will define the future of sustainable construction in the United Arab Emirates and the wider region.
Tech Interviews
From Diaspora Intelligence to AI: Unilever International’s Data Revolution
Exclusive Interview with Aseem Puri, CEO, Unilever International
- How is Unilever International using data and analytics to bring underserved and overlooked consumer groups into the center of your decision-making?
Many of the consumers we serve are invisible to conventional market structures, which are usually built around large, well-measured countries and mainstream shoppers. At Unilever International, we have turned that around by defining “underserved consumers” as our starting point: immigrants, global aspirers, and consumers in SMILE (small, island, landlocked, extreme) markets, who are often overlooked by traditional business models – and our business approach is specifically designed around these consumers.
Data analytics is central to our operations. We pull information from SAP, Salesforce and other operational systems into a single digital backbone, so shipment flows, customer orders, distributor stock and sales performance are visible in one real-time view across business functions. Alongside this, we use digital and social listening tools to understand what specific communities are searching for, watching and discussing, and we route those insights directly into innovation, portfolio and media decisions.
That is how we picked up emerging home-care rituals in Korea which inspired the Snuggle room spray and indoor dry range, now accounting for roughly 10% of the country’s fabric softener market. The same logic applies to partnerships: our role in building the ICC women’s cricket platform for brands such as Rexona and Dove was based on data on women’s sports viewership, participation and fandom, particularly in markets like India and the UAE. In this way, our investments are tied to real participation for girls and women and to growth in whitespace markets, not just to media reach.
- Diaspora consumers behave like distinct micro-markets with their own preferences. How are you using predictive modeling to anticipate their needs before they emerge?
For Unilever International, diaspora consumers are not a marginal audience; they are one of our largest growth engines. We serve more than 500 million diasporas across 40 SMILE markets, with a strong presence in the Gulf. We treat each major diaspora as a micro-market, with its own set of preferred brands, formats and seasonal or festive peaks.
Our predictive models combine migration trends, remittance flows where these are available, historic consumption patterns, and digital search and social signals to forecast how, when and where demand is likely to appear. As a result, we do not wait for an out-of-stock alert before acting.
For brands such as Bru, Lady’s Choice and Rafhan, we use forward-looking algorithms to shape assortment and route-to-market for South Asian and Middle Eastern communities in hubs such as the UAE, the UK and Australia.
From the shopper’s perspective, the benefit is simple. When they arrive in Dubai or London, the brands and pack sizes they recognise from home are already available in store or online, such as Ramadan, Diwali or Eid, because our models have anticipated those peaks rather than reacting after the seasons.
- Digital integration and data sharing are becoming standard across retailers and e-commerce platforms. How have these partnerships evolved for Unilever International in the UAE?
In the UAE, we have purposefully moved our relationships with retailers and e-commerce platforms away from purely transactional interactions towards shared value creation. By integrating sell-in and sell-out data feeds into our digital systems, we can see, almost in real time, how diaspora and expatriate shoppers are buying across modern trade and online channels.
This shared visibility allows us to co-create category strategies with key partners. Together, we tailor shelf layouts for Indian, Filipino or African shoppers in specific catchment areas, align promotional calendars to their festive occasions, and optimise e-commerce cut-off times so that late-night orders can still arrive the following day. Data sharing help both parties to reduce waste, avoid duplicated inventory and execute innovations with much shorter and more reliable launch windows.
Our role in brokering platforms such as ICC women’s cricket, announced at a festival in Dubai, also gives our customers access to high-energy brand properties. We then activate these jointly across stores, e-commerce and social channels in the Gulf. This creates a closed loop between data, media and execution that is grounded in the lived experience of UAE consumers, rather than driven solely by internal planning cycles.
- AI adoption is accelerating across supply chains and consumer insights. How is Unilever International using AI to create real value for underserved consumers while enabling faster, smarter growth?
We see AI as a strategic teammate that extends the capability of our people rather than replacing them. Our AI Hub in Singapore co-ordinates how tools are deployed across demand sensing, supply chain and marketing, and human resources. We are moving from isolated experiments to integrated systems that connect marketing, supply chain, finance and resourcing data so that decisions can be made jointly and in real time.
For underserved consumers, the impact is very tangible. AI-driven demand sensing and container optimisation help us keep shelves stocked and navigate complex routes without relying on a single corridor, even when there are disruptions such as the Red Sea crisis. AI-powered social listening highlights niche behaviours, for example Koreans using fabric fresheners as room sprays or searching for indoor drying solutions. These insights led to new Snuggle formats tailored to local needs, which gained share quickly.
We also have a documentation centre of excellence to manage end-to-end paperwork for new and existing product entries. We have partnered with a tech startup to develop an AI-optical character reading programme that supports import and export processes, and optimises container loads with 100% accuracy.
All AI activity is guided by Unilever’s Responsible AI Policy, which requires transparency, human oversight and the ability to challenge decisions in every use case. This balance between speed and responsibility allows us to unlock growth without compromising trust.
- In many emerging markets, data is often limited or incomplete. How do you build a reliable, tech-enabled decision-making system in these environments to ensure accuracy and speed?
Many of the countries we serve, including small islands, landlocked states and conflict-affected territories, do not generate the rich, structured data sets that larger markets enjoy. Instead of waiting for perfect information, Unilever International has built a “good enough to act” decision system that deliberately combines different sources of insight.
We integrate shipment data from our SAP backbone, distributor sell-out data where it can be secured, digital shelf and pricing information, and social listening. We complement this with qualitative insight from local teams, NGOs and institutional partners. In SMILE markets such as rural Laos or East Timor, we overlay container-level visibility so that we can see precisely where goods are located, how long customs processes are taking and where real bottlenecks are forming.
AI-enabled tools help us to close the gaps. We use proxy indicators to forecast demand and plan scenarios to test potential price and promotion moves. Human judgement, particularly from local partners, remains central. Our digital backbone ensures that decisions are fast, repeatable and auditable, even in highly challenging environments.
- Leading a tech-driven organization requires both vision and adaptability. What personal leadership principle has shaped the way you guide Unilever International through digital transformation and fast-moving markets?
The principle that has influenced my leadership most is empathy combined with decisive action. Unilever International delivers products to nearly every country in the world, barring sanction markets, which means our teams work across a wide range of cultures, regulatory environments and infrastructure conditions. If I do not genuinely understand what motivates colleagues, customers and consumers on the ground, even the strongest digital strategy remains abstract.
At the same time, I believe in empowering our teams to experiment and fail forward. This mindset, supported by data and AI, allowed us, for example, to build a direct-to-consumer platform in 100 days and to scale collaborations such as the IHG bulk-amenities partnership, which removes hundreds of tonnes of single-use plastic annually while giving travellers an improved yet sustainable Dove experience.
We embed this way of working through our “digital identity” approach, where leaders explicitly carry digital responsibilities within their titles and objectives. This makes it clear that technology, AI and data are not the concern of a separate specialist team. They are part of how every leader at Unilever International serves underserved consumers and grows the business with both speed and responsibility.
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