Nokia Predicts AI to Drive 44% of Network Traffic by 2035

Nokia's recent Global Network Traffic Report 2026 highlights a transformative prediction for telecommunications: AI-driven traffic will constitute almost half of global network traffic by 2035. Specifically, AI-native traffic is projected to reach approximately 1,681 exabytes (EB) per month, while total network traffic is expected to grow to 3,789 EB per month. This projection underscores a significant increase in AI's role in digital communications, with AI traffic growing at an impressive 58% compound annual growth rate (CAGR).

AI applications alone are anticipated to generate 987 EB per month, accounting for 26% of global traffic. This growth is fueled by expanding applications in enterprise and consumer sectors, with enterprise access AI traffic expected to outpace consumer AI, growing at a 59% CAGR. Additionally, physical AI traffic from robots and agentic AI are set to rise dramatically, increasing 105-fold and 160-fold respectively. This marks a substantial shift from traditional network traffic patterns, highlighting a new era where AI influences the very architecture of digital communication networks.

These projections suggest a profound shift in telecommunications infrastructure requirements. As AI becomes a dominant force in network traffic, operators will need to adapt to handle the increased demand. This shift will likely bolster the importance of edge computing and metro core networks, which are predicted to service a significant portion of AI-native traffic. Nokia's report warns of the challenges posed by uplink-heavy AI traffic, which could strain cellular networks and impact application performance.

The strategic implications extend beyond infrastructure. Nations and companies investing in AI technologies may gain competitive advantages, as AI-driven traffic becomes integral to digital economies. This shift could influence global telecommunications policies, with increased focus on supporting AI capabilities and managing network congestion. The potential for AI to drive economic growth could lead to intensified competition among countries to become leaders in AI technology, impacting international relations and trade.

In the near term, telecom operators are expected to invest heavily in upgrading their infrastructure to accommodate the anticipated surge in AI traffic. This will likely include advancements in 5G and the development of more robust edge computing solutions. By 2028, we can expect substantial progress in these areas as operators prepare for the projected 2035 demands. Historical precedents, such as the rollout of 4G networks, suggest that these infrastructure upgrades can lead to significant technological and economic benefits, including improved service offerings and new business models.

Policy responses will also be crucial. Governments may introduce regulations to manage network load and ensure fair access to AI-driven services. These policies could emerge by 2030, aiming to balance growth with sustainable network management. Lessons from past regulatory changes, such as net neutrality debates, indicate that stakeholder engagement will be vital to developing effective policies that support innovation while protecting consumer interests.

The rise in AI traffic will have cascading effects on related sectors. Semiconductor manufacturers, for instance, might experience increased demand for chips tailored to AI processing. This mirrors past trends seen during the rise of mobile computing, where chipmakers experienced significant growth due to increased demand for mobile processors. Similarly, cloud service providers will need to expand capacity to support AI-centric applications, potentially leading to a surge in data center construction. This expansion could drive innovation in energy efficiency and cooling technologies, as seen in previous data center growth phases.

Regulatory bodies might face pressure to address privacy and security concerns associated with AI traffic. As more data is processed and transmitted, safeguarding user information will become a heightened priority, potentially prompting new international data protection agreements. Historical parallels can be drawn with the introduction of the General Data Protection Regulation (GDPR) in Europe, which set new standards for data privacy and had global implications.

Analysts view Nokia's forecast as a pivotal indicator of AI's future role in telecommunications. While similar projections have been made, this report quantifies the impact with unprecedented specificity, highlighting the need for strategic planning. Unlike past technological shifts, AI's influence on network traffic suggests a more integrated and transformative effect on global infrastructure.

The report's emphasis on uplink demand as a potential bottleneck highlights a critical area for innovation. Solutions that alleviate network pressure while supporting AI growth will be essential for maintaining competitive advantages in the telecommunications sector. Historical instances, such as the transition from dial-up to broadband internet, underscore the importance of overcoming technical challenges to unlock new opportunities for growth and innovation.

In summary, Nokia's projections not only forecast a significant increase in AI-driven network traffic but also highlight the broader implications for infrastructure, policy, and industry dynamics. Stakeholders across the telecommunications ecosystem will need to navigate these changes strategically, drawing on lessons from past technological evolutions to harness the potential of AI in shaping the future of digital communications.