As AI reshapes industries, companies are investing heavily in data centers and optical connectivity. However, the telecoms network-particularly 5G standalone (5G SA)-is often overlooked. AI innovation cannot scale effectively unless the underlying connectivity infrastructure evolves alongside it. As AI infrastructure matures, the challenge shifts to delivering AI capabilities efficiently from data centers to billions of end users. If we want to unlock AI's limitless potential, the network must remain at the forefront of our thinking.
Moving beyond legacy infrastructure
Improving AI performance and responsiveness has dominated industry discussions since the emergence of generative AI. In February 2026, ChatGPT alone reported 900 million weekly active users. Meeting this surging demand for capacity, responsiveness and reliability requires networks to evolve.
This is because real-time, multimodal AI creates entirely new network traffic patterns. Unlike traditional mobile broadband, which was largely optimized for human use, next-generation AI assistants and live enterprise guidance systems continuously exchange information between devices and the cloud. These applications generate uplink-heavy, latency-sensitive and session-rich traffic. To support them, the network must become an active enabler of distributed AI inference and machine learning.
Fueling the next generation of AI experiences
Network performance is becoming a defining factor in the AI experience. The relationship between AI and advanced connectivity is increasingly interdependent: AI creates new demands on networks, while advanced networks enable entirely new AI use cases for consumers and industries alike.
One example is the evolution of AI towards physical AI—systems capable of perceiving, reasoning and acting in the physical world in real time – used in autonomous cars and drones, smart glasses and other wearables as well as enterprise and industrial environments.
Because these systems are inherently distributed, they require ultra-reliable mobile communications powered by 5G SA differentiated connectivity for full capability exposure. While time-critical decisions will increasingly be made at the edge, computationally intensive tasks will continue to rely on cloud processing to prevent devices from overheating during intensive AI tasks. With the appropriate latency and capacity, 5G SA networks bridge the gap between the two, ensuring communication delays do not compromise performance or cause failures in real-world environments.
Meanwhile, the shift from centralized AI to distributed agentic AI, where autonomous and specialized AI agents collaborate to complete complex tasks, will place even greater demands on mobile communications. These agents must retrieve data and context in real time while discovering and communicating with other agents. Many such applications are highly time-sensitive, and even minor delays or variations in context can significantly affect outcomes. For example, for AI agents executing financial transactions, fluctuations in foreign exchange rates or delayed information can directly impact value.
To deliver industry-leading networks optimized for AI applications, we must move beyond traditional best-effort connectivity models, which cannot consistently provide the reliability, security and performance these emerging use cases demand. Legacy networks struggle to handle growing data volumes, ultra-fast response times and the massive device density required by an AI-driven world.
Harnessing the power of high-performance connectivity
5G is the fastest-growing mobile technology of all time. According to the latest edition of the Ericsson Mobility Report, 5G subscriptions reached 3.1 billion in the first quarter of 2026. 5G is projected to surpass 4G as the primary mobile access technology worldwide by the end of 2027-just nine years after its launch. Around 390 service providers across the globe have introduced commercial 5G services, and more than 90 have launched our soft-launched 5G standalone.
Completely independent of legacy 4G infrastructure, 5G standalone is built on a cloud-native 5G Core architecture. Its ultra-low latency, high capacity and advanced capabilities are essential for connecting users with AI processing power while supporting features such as network slicing, network API exposure, automation and intelligent traffic management.
5G standalone represents the next chapter of the 5G era, designed to support the continuous evolution of AI applications through greater performance, agility and intelligence. Its programmable platform enables service providers to create, deploy and upgrade new capabilities rapidly-often within hours-without disrupting live operations.
5G standalone delivers greater flexibility while unlocking new revenue opportunities. It also allows service providers to remain competitive by fully realizing the potential of 5G and delivering optimized, uninterrupted experiences.
Building AI-ready networks today with 5G SA
Mass AI adoption across the subscriber base depends on the network that carries it. The way the AI-driven future unfolds will be shaped by the infrastructure decisions we make today. An interconnected, open and secure foundation built on 5G SA and cloud infrastructure is essential to enable the next generation of AI-powered applications on a global scale. Investors, policymakers and industry leaders must recognize 5G SA not simply as another network upgrade but as a strategic pillar of the AI economy.
We are standing on the brink of an AI-native era, where trustworthy AI capabilities become an intrinsic part of how networks are designed, deployed and operated. By building scalable, cloud-native 5G SA architectures today, we can pave the way for 6G and a truly autonomous digital ecosystem, creating a resilient foundation for an intelligent and hyper-connected future.
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