1.6 min read

Addressing the Significance of Slow Subsea Network Degradation

Telecom Review Asia examines how latency, packet loss and gradual subsea network degradation can affect AI and cloud workloads.By Telecom Review Asia
June 16, 2026

Discourse on subsea cable infrastructure has typically centered on catastrophic events such as cable cuts, ship anchors, earthquakes, or sabotage. These incidents attract significant attention due to their immediate and visible disruptions. However, a subtler and potentially more enduring threat is now emerging: the gradual degradation of subsea network performance.

Contrary to a complete outage, degradation manifests as increased latency, packet loss, signal attenuation, congestion, and diminished capacity efficiency. While end users may not perceive these changes during routine web browsing, even minor declines in network performance can result in substantial economic and operational consequences for artificial intelligence (AI) and cloud computing workloads.

With digital ecosystems becoming increasingly reliant on real-time data exchange, the central concern now extends beyond cable failures to include the implications of gradual reductions in network speed.

The Cost of Performance Degradation, Exacerbated by AI

Network degradation is often caused by a combination of factors. Aging optical equipment, increasing traffic demand, environmental conditions, signal interference, and congestion on heavily utilized routes can gradually reduce performance long before a fault occurs. A key challenge is that degradation often remains undetected until it adversely affects application performance.

In traditional enterprise environments, a few milliseconds of additional latency might have little impact. In AI and cloud environments, however, workloads are becoming highly distributed. Training models may involve data centers located across multiple continents, requiring continuous synchronization between compute clusters, storage systems, and cloud platforms.

Subsea connectivity is a key determinant of latency across global cloud platforms. In contrast to terrestrial networks, where routing can be dynamically optimized over short distances, submarine cable paths are subject to fixed physical constraints that directly influence end-to-end performance. Even minor changes in cable routing, congestion, or signal degradation can result in measurable variations in application responsiveness across continents.

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