AI emerging as top driver of overall Internet traffic growth – study

Cisco has published its inaugural wide area network report highlighting that artificial intelligence is poised to become the primary catalyst for global internet traffic expansion over the next decade. The study suggests that consumer-driven data consumption related to machine learning and generative tools will increase approximately 6.6 times by the mid-2030s. This rapid surge is expected to necessitate a fundamental shift in how telecommunications operators and service providers approach infrastructure investment and capacity planning.

The research indicates that the integration of artificial intelligence into everyday digital applications will fundamentally reshape the requirements for modern network architectures. While traditional video streaming and social media have historically dominated bandwidth usage, the interactive nature of AI processing introduces new patterns of data flow. Cisco notes that these applications require not only higher transmission speeds but also significantly lower latency to ensure real-time responsiveness for end users.

Infrastructure requirements are expected to evolve as data centres and edge computing facilities move closer to the point of consumption. The report emphasises that existing wide area network configurations may struggle to handle the specific peaks and troughs associated with high-intensity model training and inferencing. Consequently, network operators are likely to accelerate the deployment of advanced routing technologies and automated management systems to maintain service quality under these shifting load profiles.

Environmental and economic factors also play a critical role in the projected growth of the segment. As traffic volumes escalate, the energy efficiency of network hardware will become a key focus for operators aiming to manage operational costs while meeting sustainability targets. The study indicates that the transition to more intelligent, self-optimising networks will be essential to accommodate the massive data throughput without a proportional increase in power consumption.

The broad adoption of artificial intelligence across various industry verticals is further accelerating the demand for robust connectivity services. Enterprises are increasingly shifting their workloads to cloud-based environments that facilitate complex computations, adding further pressure to public and private internet backbones. This trend suggests that the mid-2030s will mark a transition point where legacy network designs are largely replaced by AI-native infrastructure.

Future developments in this space will likely focus on the standardisation of protocols that can better support the unique demands of heavy data ingestion and processing. Service providers are expected to monitor these traffic trends closely as they refine their long-term capital expenditure strategies. The ongoing evolution of global connectivity will remain tethered to the pace at which consumers and businesses integrate these emerging technologies into their daily digital workflows.