Rethinking Network Value for New Growth in the AI Era

Rethinking Network Value in the AI Era

The rapid evolution of artificial intelligence (AI) has prompted significant transformations within the telecommunications landscape, particularly concerning network infrastructures. Recently, the World Broadband Association (WBBA) convened the Broadband Development Congress in Vienna during the Network X 2026 event, where a pivotal address was delivered by Bob Chen, the President of the Optical Product Line at Huawei. His talk titled "Rethinking Network Value for New Growth in the AI Era" outlined vital strategies to adapt network architectures for the future.

Chen outlined three essential principles that industry leaders must embrace: Rebuilding network architecture, Reshaping business models, and Redefining network operations and maintenance. Each of these components is crucial for recalibrating how networks are valued and operated in the context of burgeoning AI technologies.

The Need for Change

Over the past 30 years, the telecommunications sector has thrived on consistent advancements, transitioning from voice services to the internet and now to sophisticated video streaming. AI has exponentially increased demand, with the latest models boasting nearly 10 trillion parameters, leading to a staggering rise in token consumption over the past year—up nearly 50-fold. Such growth necessitates a thorough re-evaluation of network performance criteria, frequency, and connection quality.

Rebuilding Network Architecture

Traditionally, networks were designed around administrative boundaries, resulting in national backbones, regional networks, and local systems. Today, AI data centers have multiplied, and network traffic is increasingly determined by computational needs rather than population density. A paradigm shift is exemplified by Zhongwei, a city in China, which has morphed into a national computational center, contributing significantly to the country's network traffic. It is now vital for network architecture to orient itself towards AI data centers (AIDC) rather than merely regional populations, necessitating structured hierarchies of core, regional, and edge data centers.

Reshaping Business Models

In the corporate realm, the evolution of AI is reshaping operational frameworks. Companies are leveraging real-time AI rendering to drastically reduce production cycles—requiring connections with latency under 2 milliseconds. Consequently, telecommunications operators can no longer restrict themselves to bandwidth offerings. Instead, they must provide multifaceted solutions that encompass not only speed but also reliability and latency guarantees. This shift, paired with integrated networking and computing services, will be essential in responding to commercial demands.

In the residential broadband segment, there is a transition from simple connectivity to comprehensive home network solutions. Implementing strategies like "One Fiber, One Network, One Home" will create a seamless network environment, allowing for smart home integrations powered by AI.

Redefining Network Operations and Maintenance

Smart functioning networks must incorporate intelligence across all planning, construction, operation, and optimization phases. By employing AI-driven tools, companies can enhance operational efficiency, automatically adjusting network settings in real-time based on existing conditions. For example, Wi-Fi networks can now utilize AI to manage interference proactively, resulting in significant performance improvements.

Energy efficiency is also a massive concern. Historical reliance on full power operations irrespective of traffic volume led to considerable waste. With better traffic analysis, operators can dynamically adjust power consumption, potentially cutting energy use by upwards of 20%.

The move toward self-healing networks is also on the rise, categorizing issues into three tiers for problem resolution—automated fixes via AI, remote monitoring, and on-site repairs where needed.

Conclusion

As we enter the AI era, Bob Chen underscores the importance of revolutionizing our perspectives on network structures, business models, and overall operational strategies. By embracing these transformative principles, the telecommunications industry can unlock fresh growth avenues. This proactive approach is imperative for realigning network value in an increasingly intelligent world, ensuring the connectivity demands and service quality expectations of future technologies are met.