AI-driven networking set to define Middle East’s potential in 2026: HPE Networking

Networking infrastructure is emerging as a foundational pillar as the Middle East accelerates its digital transformation agenda for economic diversification and future-ready connectivity.

IT spending in the Middle East and North Africa (MENA) is forecast to reach approximately $169 billion in 2026, with significant growth in data centre and AI-optimised infrastructure investments fueling this expansion.  

 Governments and enterprises across the region are prioritising AI adoption, cloud services, and smart city initiatives to support next-generation digital services. For example, UAE cities like Dubai and Abu Dhabi rank among the world’s top smart cities, reflecting strong progress in digital infrastructure and urban technology adoption1. Large cloud and AI infrastructure projects, including major data center expansions in the UAE, supported by high-performance networks capable of serving AI workloads at scale, further highlight the region’s commitment to drive economic diversification through technological transformation. 

“AI-driven resilience and autonomy are seen as strategic priorities for IT leaders, signaling a clear shift toward more intelligent, adaptive network architectures.”  

 The following 2026 networking predictions are particularly relevant for organisations in the Middle East as they modernise connectivity to support AI, cloud, and full-stack digital transformation. 

• AIOps Will Matter More Than the Wi-Fi Standard: In 2026, enterprises will shift how they operate wireless networks. AIOps will become non-negotiable: multi-link operation, wider channels, and deterministic latency will only reach their potential when AI takes over spectrum decisions humans can’t make fast enough. Continuous learning models will predict congestion, optimise RF behavior, and reshape channel usage in real time, making the traditional debates about SSIDs, “best band,” and manual tuning obsolete. Wired and wireless performance will converge not because speeds increase, but because AI will manage the experience as a single, intent-driven fabric. 

• Agentic AI Turns LANs Into Proactive Experience Engines: The industry’s long-running journey toward the self-driving network will move from early adopters to mainstream operations. What’s changing isn’t the concept — it’s the maturity of agentic AI and cloud-delivered intelligence that can act on behalf of IT with confidence and speed. LANs won’t simply “heal themselves”; they’ll proactively optimise user experiences. Embedded AI agents in switches and APs will interpret behavior patterns, anticipate service needs, and take corrective action before a person ever feels a slowdown. This isn’t about the network adapting to users in real time — it’s about predicting impact minutes or hours ahead. For example, hardware RMAs will happen automatically. AI will detect degradation, validate the fault, file the case, and initiate a replacement shipment before the user or admin even knows something is wrong. 

• Full-Stack Convergence Becomes the Default: In 2026, product decisions will shift dramatically as enterprises move away from piecemeal networking. The next wave of modernisation will be driven by a desire for one operational framework across wired, wireless, WAN and ultimately compute and storage. Cloud-delivered orchestration and AI-native automation will push IT leaders to expect a single source of truth—and a single intelligence layer—that manages performance, experience, security and lifecycle from the client to the cloud. 

 This shift won’t be limited to networking. As platforms like OpsRamp bring observability and operations together across servers, storage and applications, organisations will demand the same unified approach for connectivity. The value won’t come from individual products outperforming competitors but will instead come from how seamlessly they operate as a full-stack system under common AI governance. 

In 2026, the winning architectures will be those that behave like one organism, not a collection of parts. AI will unify them; cloud will deliver them; and enterprises will choose vendors based on who can make the full stack operate as a single experience. 

• The Great Network Talent Shift: In 2026, the real talent shift won’t be about replacing engineers — it will be about elevating them. With conversational AI copilots and agentic assistants becoming embedded members of the IT team, the traditional workflows of dashboard-hopping, manual triage and endless ticket queues will fade. GenAI accuracy and functionality have reached a tipping point, and AI will manage the first line of support: answering routine questions, resolving policy conflicts, identifying anomalies and even auto-initiating RMAs. 

The next generation of experts won’t just configure networks but will partner with AI copilots to manage thousands of endpoints with the precision of one. Engineers won’t spend their time navigating dashboards; AI will surface insights, take action and guide decisions through natural language interactions. The most effective professionals will be those who not only know how to configure but also know how to teach and collaborate with AI: shaping prompts, validating intent and orchestrating automation at scale. In 2026, the network engineer becomes a strategist, and AI becomes the operational backbone. 

 This opinion piece is authored by Jacob Chacko, Regional Director – Middle East & Africa at HPE Networking.