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Mobile World Congress 2026 made it clear that AI is becoming the center of network strategy. Networks are no longer just about moving data. They are learning, making decisions, and acting on their own. Agentic AI is transforming both business and operations. AI agents can manage customer journeys, handle network tasks automatically, and even act as a “virtual employee.” To take full advantage of AI, communications service providers (CSPs) need to rethink how their organizations operate. The most successful companies are those that design teams and processes around AI instead of simply adding new tools.

Edge computing is where AI can also deliver value, a theme that came up in several sessions at the show, including “Zero Latency, Infinite Possibility: The Power of Edge AI.” Processing data close to where it is generated can reduce delays and help improve reliability. This is critical for robotics, industrial automation, and manufacturing. AI that interacts with the real world depends on edge infrastructure to operate safely and efficiently. Scaling edge systems requires careful planning, coordination across teams and vendors, and integration with existing equipment. Beyond the technical setup, edge computing is a strategic tool that enables agentic AI to function effectively and deliver real business impact.

As AI adoption grows, energy and sustainability have become major concerns. AI processing requires significant power and data centers and networks must carefully manage electricity, cooling, and capacity. Sustainability is no longer optional. It is essential for scaling AI and remaining competitive.

Looking ahead, 6G is being built around AI from the start. Unlike previous generations, 6G is software-first, meaning the network is designed to be flexible and programmable for AI rather than tied to specific hardware first. It also combines sensing, computing, and connectivity, so the network can monitor its environment, process data locally, and deliver results in real time. Today’s networks already include AI that makes decisions and improves performance. 6G will expand this capability, embedding AI even more deeply across all aspects of the network to enable faster, more intelligent operations. This shift will help CSPs deploy and scale efficient service while giving consumers quality service, reliable connectivity, and advanced access to applications that enable new capabilities.

MWC 2026 confirmed that networks are becoming intelligent platforms. CSPs that combine agentic AI with sustainable energy strategies will lead the next phase of telecom and digital infrastructure. Networks are much more than connections and have long enabled applications and services. They are AI-powered systems that drive businesses.

 can help CSPs succeed in this new AI era. Common Language is deeply embedded in the telecom ecosystem and can complement AI across the network through the many touchpoints where it is applied. For example, it provides the data points needed for AI-powered network planning, predictive maintenance, and capacity management, enabling advanced analytics that can improve operational efficiency and network performance. Beyond these capabilities, Common Language offers a broad spectrum of reference data across the network, giving CSPs the visibility and insights needed to support operational and strategic decisions.

Its CLEI and CLLI codes also support energy optimization. CLEI Codes provide detailed information on equipment specifications, including power requirements and operating conditions. CLLI Codes pinpoint the exact physical location of assets, enabling intelligent network planning and optimal site selection. By using this reference data, CSPs can plan to align infrastructure investments with energy efficiency goals, look to improve network planning, and help reduce operational costs, supporting long-term network performance and reliability.

Building on decades of experience, �����Ƶapp has also launched �����Ƶapp AI Labs to develop advanced AI technologies that support restoring trust in communications and strive to combat sophisticated robocall threats. The initiative focuses on generative, predictive, and discriminative AI applications, including voice biometrics, generative AI demonstrations, and AI SMS detection. These tools help CSPs and enterprises detect fraud, protect consumers, and improve network intelligence. AI Labs collaborates with customers, regulators, and industry stakeholders to showcase AI applications in development, demonstrating �����Ƶapp’s commitment to innovation across the telecom ecosystem.

Discover how  can help you improve network efficiency and energy management in the AI era and explore �����Ƶapp AI Labs and its advanced AI technologies.

Sharon Oddy is Vice President of Marketing and Communications with specific responsibility for �����Ƶapp Communications Market.