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 Features
Why UAE organisations cannot afford to get their AI storage strategy wrong
BY: Owais Mohammed, Regional Lead & Sales Director at WD for the Middle East, Africa, Turkey, and the Indian Subcontinent
The UAE’s ambition to become a global AI powerhouse is well established. Government investment is flowing, infrastructure is scaling, and organisations across every sector are accelerating their AI programs. But beneath the strategic announcements and the technology deployments, a fundamental question goes unanswered: is the data storage infrastructure underpinning all this built for what comes next?
For many organisations, the honest answer is: not yet. Storage is rarely the first conversation in an AI strategy discussion. It tends to be treated as a commodity decision made late in the planning cycle, long after the headline architecture choices like GPUs/CPUs have been made. That approach made sense in simpler times, but not in today’s data-driven AI economy.
The scale of what is coming
To understand why, organisations need to understand the sheer data volume that is coming their way. Global data creation is forecast to rise to 718.5 Zettabytes (ZB) through 2030 (IDC source: Market Forecast: IDC Global DataSphere Forecast, 2026-2030, June 2026, Doc #US53425426), more than tripling in five years.
AI is both a driver and a consumer of this growth. Every model trained, every inference run, every data pipeline operating continuously across a distributed architecture is generating and demanding access to data at a scale that earlier generations of infrastructure were not designed to support.
Businesses that will absorb this growth successfully are not those with the fastest individual components. They are those with architectures designed to handle volume, variety, and velocity simultaneously, at a cost that remains economically sustainable as scale increases. That is the storage strategy challenge that needs to be addressed upfront and not as an afterthought.
Why a single technology cannot solve it
A common mistake is to frame the storage decision as a technology choice: SSDs versus HDDs, flash versus spinning disk, performance versus capacity. The world’s most sophisticated storage operators, including hyperscalers and major cloud service providers, have already moved past this framing. They do not choose one technology. They deploy multiple of them, in a tiered architecture that places data on the medium best suited to its requirements.
The logic is straightforward. SSDs deliver the high IOPS and low latency that real-time, performance-critical applications demand. HDDs provide the massive capacity and cost efficiency required for the vast middle tier of active and warm data, and currently continue to represent approximately 63% of worldwide installed storage capacity through 2030. Tape generally handles archival, regulatory, and compliance workloads where retrieval times of hours or days are acceptable, representing just under 8% of worldwide installed cloud storage capacity in 2025.
These are not competing technologies. They are complementary ones, each serving a distinct purpose within a coherent architecture. The question is how each is deployed where it delivers the greatest value.
Making tiered architectures work in practice
Knowing that tiered storage is the right model and implementing it effectively are two different things. At the scale hyperscalers operate, where storage volumes are measured in hundreds of exabytes, manual allocation of data across tiers is neither practical nor efficient. Nor can all data live on cost prohibitive flash. The mechanism that makes tiered architecture manageable is software-defined storage (SDS), which pools resources centrally and provisions capacity dynamically based on demand. Rather than pre-allocating fixed capacity to individual applications, SDS responds to where data needs to be, improving overall utilisation and reducing waste.
Together, tiered architecture and SDS provide the flexibility and economic efficiency that hyperscale environments depend on. But this model is not the exclusive preserve of the world’s largest operators. For emerging infrastructure providers, including Neoclouds that are expanding rapidly across the region, the same principles apply. Architecture decisions made today will determine whether future growth is economically sustainable or structurally constrained. The window to get this right is earlier than many organisations assume.
Innovation at the storage level
Architectural thinking also changes how storage technology itself must evolve. An organisation that understands its workloads, plans for data growth, and builds tiered infrastructure will eventually reach the limits of what current storage innovations can deliver. That is why, manufacturers like WD are approaching HDDs not only as a mature, reliable product but as a technology with significant headroom remaining to help increase capacity, lower power and cost effectively scale AI data. They are advancing recording technologies, exploring novel materials, and embedding intelligence at the drive level. The aim is not incremental improvement. It is expanding the boundary of what high-capacity storage can deliver for the architectures customers are building today and the workloads they will run tomorrow.
The leadership dimension
The organisations that navigate the AI era most effectively will not be those that simply procure the latest hardware. It will be those that understand the architectural decisions that determine long-term performance, cost and scale, ask better questions earlier in the planning process, and treat storage infrastructure strategy as a source of competitive advantage rather than a procurement exercise.
Storage sits at the foundation of every AI workload, every data pipeline, and every digital service an organisation delivers. Getting the architecture right is not a technical detail. It is a leadership decision. And in a market moving as quickly as the UAE’s, it is one that deserves to be made with the same rigour and strategic intent as any other.
Tech Features
Beyond a Seat at the Table: How Emirati Women Are Leading the UAE’s Next Chapter
Every year, Emirati Women’s Day offers a moment to pause and reflect on just how far Emirati women have come, and how much further their ambitions are taking them. Across artificial intelligence and technology, entrepreneurship, sustainability, industry and beyond, Emirati women are no longer simply entering these spaces, they are shaping them, leading critical decisions and setting new benchmarks for what is possible.
This progress has not happened by chance. It is the result of a national vision that has consistently placed women’s empowerment at the heart of the UAE’s development, widely regarded as the driving force behind the advancement of Emirati women. Together, these efforts have built an ecosystem of mentorship, opportunity and structural support that allows Emirati women to move beyond simply having a seat at the table to actively influencing the direction of entire industries.
This Emirati Women’s Day, we spoke to three Emirati women who are doing exactly that, each carving out space in fields as varied as AI infrastructure, entrepreneurship and industrial sustainability. Their stories reflect not only how far the journey has come, but also a shared sense of responsibility: to keep the doors open, and to inspire the next generation of Emirati women to walk through them with confidence.
Amal Almaamari, Program Director at Core42, (a G42 Company)
The UAE has created an environment where women are encouraged to pursue ambitious careers, take on meaningful responsibilities and contribute to sectors that are shaping the country’s future. As an Emirati woman working in AI, I see this opportunity firsthand. At Core42, I am able to contribute to the infrastructure and capabilities helping organizations adopt AI securely, at scale and with greater control over their data and technology.
What is particularly inspiring is seeing Emirati women increasingly take on roles across engineering, product development, strategy and leadership. The opportunities available today allow us not only to participate in the technology sector, but to build expertise, influence decisions and contribute to the UAE’s ambitions in AI and advanced technology.
Emirati Women’s Day is a celebration of that progress and the confidence the UAE continues to place in its women. It also reminds us of our responsibility to build on these opportunities and inspire the next generation of Emirati women to see technology as a field where they can grow, lead and make a lasting impact.
Amreen Iqbal, Founder and Creative Director of Piece of You
What stands out to me about building a business here is how much the UAE actively invests in women being part of its growth story. From mentorship networks to platforms that put Emirati entrepreneurs in front of the right audiences, the opportunities aren’t hypothetical, they’re structural. Piece of You exists because I had the confidence and support to take an idea and turn it into something real. On Emirati Women’s Day, I think about how many doors have opened for women in my generation that weren’t open before, and how many more are opening for the next one.
Hamda Al Shamsi, Admin Assistant at Geocycle Waste Recycling UAE at Holcim UAE
The UAE has created an environment where women are empowered to pursue their ambitions, develop their skills, and contribute meaningfully across every sector. Today, Emirati women are building careers in fields ranging from technology and engineering to sustainability, manufacturing, energy, and leadership.
As an Emirati woman and the only woman currently working at Geocycle UAE, I have personally experienced the importance of having the opportunity to step into a technical and industrial field and prove that there is a place for women in every sector.
For me, Emirati Women’s Day is a celebration of how far we have come, but also a reminder of the opportunities ahead. The support and vision of the UAE leadership, together with the efforts of Her Highness Sheikha Fatima bint Mubarak, have helped create a generation of Emirati women who are confident to pursue their goals and make a difference. I believe the next step is to continue encouraging young Emirati women to explore fields they may not traditionally consider. When women are given the opportunity to learn, lead, and contribute, they do not only build successful careers — they help build a stronger and more sustainable future for the UAE.
Tech News
NETSCOUT EXTENDS ADAPTIVE DDOS DEFENSE PROTECTION TO ADDRESS THE RISING BUSINESS COST OF WEAPONIZED BROADBAND AND IOT DEVICES
NETSCOUT® (NASDAQ: NTCT), a leading provider of observability, AIOps, cybersecurity, and DDoS attack protection solutions, today announced an extension of its Adaptive DDoS Protection (ADP) solution enabling service providers to automatically detect and mitigate outbound DDoS attack traffic. By extending protection from the attack target towards its source, NETSCOUT helps operators prevent compromised subscriber devices from disrupting their own networks, consuming costly capacity and attacking customers and organizations across the internet.
Consumer broadband routers, cameras and other IoT devices are increasingly being weaponized by Turbo-Mirai class botnets capable of generating multi-terabit attacks. These outbound attacks have already caused costly service outages, reputational damage and customer loss, and damage to peering relationships risking a large increase in transit costs at service providers around the world. By detecting and mitigating malicious traffic generated by compromised device populations before it leaves their networks, service providers can reduce abuse complaints and infrastructure costs while protecting their own networks and services and helping lower subscriber churn and regulatory risk.
“The combination of higher-speed broadband connectivity and vulnerable IoT devices has been weaponized by a new class of massive DDoS botnets,” said Patrick Donegan, founder and principal analyst, HardenStance. “Source-side mitigation, or attack suppression as it’s sometimes known, is a critical part of the equation. NETSCOUT’s approach, backed by its ATLAS Intelligence Feed (AIF) and ASERT analysts, gives service providers the tools they need to detect and stop attacks before they have an impact, protecting their customers and the broader internet from the large-scale DDoS attacks we have seen.”
Using AI-powered threat intelligence and automated detection and mitigation, NETSCOUT’s ADP solution, an addition to its Arbor Sightline and Arbor Threat Mitigation System:
- Automatically detects and mitigates ever evolving attacks through dynamic detection, intelligent redirection and adaptive mitigation.
- Extends these capabilities to outbound traffic, combining enhanced, customized detection with comprehensive threat intelligence tailored for each ISP.
- Uses NETSCOUT’s proprietary AI/ML-powered DDoS detection to analyze massive volumes of outbound internet traffic to uncover attacks designed to hide within legitimate flows.
- Draws on unique global real-time intelligence of DDoS activity covering approximately half of all internet traffic to rapidly detect and mitigate DDoS attacks and pinpoint the responsible, compromised devices.
“We are extending DDoS defense from the target to the source,” stated Darren Anstee, CTO, Security, NETSCOUT. “By using our internet-scale visibility to derive localized threat intelligence for our customers, NETSCOUT can identify and precisely suppress attacks at their origin, before they cause problems locally or at their target. This capability gives our customers a new level of comprehensive defense across their peering, transit, cloud and customer edges.”
This expansion of capabilities demonstrates how NETSCOUT is applying its global threat visibility and proven ADP solution to meet emerging service provider challenges. By extending an established inbound DDoS workflow to outbound and cross-bound threats, NETSCOUT enables operators to improve network-resilience, cost-controls and revenue protection through its proven Arbor Sightline and Arbor TMS solutions.
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