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e& UAE Embeds Agentic AI Into Business Connectivity Plans

Eniola Olaotan

Eniola Olaotan

Contributor

3 min readAug 18, 2026
e& UAE Embeds Agentic AI Into Business Connectivity Plans

e& UAE is now embedding agentic AI into core business mobile and internet plans, supported by UAE-based Sovereign AI Compute infrastructure. The move brings advanced AI capabilities closer to businesses through existing connectivity services.

It also extends into Sovereign AI Compute, which provides UAE-based GPU capacity alongside secure connectivity. The new offering is available through Business Mobile and Business Pro fixed internet services, as well as enterprise connectivity propositions including Digital Internet and Digital Premium Internet.

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Mobile customers can also access these AI capabilities as an add-on to their existing packages.

Understanding Agentic AI in Business

Unlike conventional AI tools that primarily generate content or respond to individual prompts, agentic AI is designed to understand objectives, organise information, and execute connected sequences of tasks under defined controls. For businesses, this includes automating routine processes, managing workflows, and retrieving relevant information.

By integrating these capabilities into connectivity plans, e& UAE aims to make AI adoption more accessible to businesses. This approach avoids the need for them to build an entirely separate technology stack.

Esam Mahmoud, Senior Vice President, SMB at e& UAE, said the company wants businesses to access AI, connectivity, security, and computing through a more integrated environment. He added that embedding this technology into Business Mobile and Business Pro Internet plans is intended to give businesses a simpler route from AI experimentation to everyday use.

Sovereign AI Compute Infrastructure

The AI offering is complemented by e& UAE's Sovereign AI Compute proposition, providing organisations with access to GPU capacity in the UAE alongside high-performance connectivity. This infrastructure is designed to support the development, testing, training, and deployment of AI applications.

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Keeping AI workloads and data within the UAE helps organisations address data sovereignty and regulatory requirements. This is particularly vital in sectors handling sensitive or highly regulated information. The combination of local computing and connectivity gives businesses a clear pathway to develop and deploy their own custom AI workloads.

Scalability and Enterprise Growth

For small and medium-sized businesses, embedding these capabilities into existing connectivity services reduces the cost and technical complexity of adopting advanced tools. The company notes the offering helps employees automate repetitive work to focus on customer service and growth.

Larger enterprises can combine these AI capabilities with e& UAE's enterprise services to support business-critical applications and data-intensive workloads. This approach allows customers to scale their infrastructure requirements as they grow, moving from AI-enabled connectivity toward comprehensive cloud capabilities.

Strategic Shifts in the Telecom Industry

This announcement represents a broader shift in how telecom operators are positioning themselves in the AI economy. Rather than limiting their role to simple connectivity, companies are providing the computing and security services businesses need to deploy new technologies.

The company is also building on the UAE's wider push to develop domestic AI capabilities. PwC estimates that AI could contribute nearly 14% of the UAE's GDP by 2030. The development aligns with the UAE National Strategy for Artificial Intelligence 2031, which identifies AI as a driver of economic diversification.

Why it matters to MENA

e& UAE's move signals a new direction: AI becoming part of the connectivity package rather than a separate enterprise purchase. For businesses across MENA, the barrier to adoption is not just access to models, but a need for reliable infrastructure.

By bringing these components together, telecom operators become a critical part of the regional AI ecosystem. The sovereign-computing component is particularly relevant for governments and financial institutions handling sensitive data. As AI adoption accelerates, regional operators will increasingly compete on their ability to provide the intelligent services needed to turn experimental tech into an everyday business capability.

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