Agadir – Artificial intelligence in the Middle East and Africa is increasingly witnessing a prominent shift, with Egypt positioning itself at the heart of this transition with the launch of Ai Everything Middle East & Africa (MEA) in Cairo, bringing together government officials, global technology firms, investors, and startups to address how AI systems are built, hosted, governed, and deployed at scale.
The Cairo gathering will see a range of discussions, workshops and meetings covering all things AI, with a focus on data centers, cloud infrastructure, and energy capacity.
Beyond digital services to sovereign AI infrastructures
Egypt enters a moment of establishing a large technical talent base, aligning with AI services, cloud operations, and applied research to move up with AI infrastructure and platform development.
This direction is reinforced by Egypt’s Second National AI Strategy (2025–2030), which treats AI not simply as a technology trend but as a sovereign capability, prioritizing access to computing resources, data governance frameworks, and sector-level AI deployment.
According to the Ai Everything MEA organizers, the Cairo event is designed to operationalize these priorities by connecting policy, investment, and infrastructure actors in one place.
AI generative models demand massive computing power, reliance on foreign cloud and data-hosting environments. Meanwhile, Egypt’s geographic position and energy profile make it an increasingly attractive base for regional data centers serving Africa, the Middle East, and parts of Europe.
This attraction translates into growing interest from global AI and infrastructure companies seeking compliant hosting environments, skilled labor, and proximity to emerging markets.
The Cairo event provides a platform where these infrastructure considerations elevate to investment discussions within new partnerships.
AI data centers at the core
Generative AI and large language models also need specialized infrastructure capable of handling extremely heavy workloads.
A single AI server rack can consume 40–250 kW of power, several times more than a standard data center. This gives a sense of the scale and intensity of resources needed to power modern AI.
As a result, the AI industry is driving a rapid global expansion of data-center infrastructure. Over the next decade, AI-focused data centers are expected to grow significantly, with new facilities designed for high-density computing, advanced cooling systems, and renewable energy integration to manage power efficiently.
Modern AI data centers often use liquid cooling, modular designs, and edge computing setups. These innovations help distribute workloads effectively, manage heat, and reduce delays, ensuring AI systems can run continuously without overheating or wasting energy.
The demand for AI compute power is also fueling the construction of large-scale data-center campuses worldwide. These centers are built to support both local and international AI operations, making regions with robust infrastructure increasingly attractive to investors and technology companies.
Data centers are becoming foundational towards the vision for Africa’s digital transformation. This sector was valued at about $3.49 billion in 2024 and is projected to grow to approximately $6.81 billion by 2030, with an estimated annual growth rate of roughly 11.8 %.
These centers will enable local storage and processing of data, reducing reliance on overseas servers, improving performance, and supporting services like cloud computing, mobile finance, and AI systems.
Applied AI and infrastructure-led growth
Egypt’s AI agenda, as reflected in the event’s program, presents possibilities for applied AI in sectors such as finance, healthcare, logistics, manufacturing, agriculture, and public administration, unlike the usual AI domination by consumer tools.
The rise of startups working on Arabic-language models, computer vision, and enterprise automation further is one example of this AI in action. Arabic remains underrepresented in global AI systems, and locally trained models require local data storage, compute capacity, and governance structures. Yet, investor interest is increasingly directed toward companies addressing infrastructure and deployment challenges.
