Ericsson ConsumerLab projects daily multimodal AI usage in India will rise to 43% by 2030, driving an increase in upload-heavy mobile traffic. This shift mandates substantial infrastructure upgrades, potentially increasing capital spending for major telecom players like Bharti Airtel and Reliance Jio to ensure network quality for high-demand users.
A recent report by Ericsson ConsumerLab highlights a significant shift in mobile network demand driven by artificial intelligence. Daily multimodal AI usage in India is projected to reach 43% by 2030. This growth is expected to change how consumers interact with their devices, moving away from simple browsing to more complex activities that integrate text, voice, and visual data.
This shift presents a challenge for Indian telecom operators, including major players like Bharti Airtel, Reliance Jio, and Vodafone Idea. Unlike standard streaming, which is primarily download-heavy, the new AI-driven activities are significantly more upload-heavy. To support this change, telecom providers may need to prioritize upgrading their uplink capacity, alongside the existing focus on download speeds, to ensure a seamless user experience in high-demand areas.
Capex Implications for Telecom Stocks
For investors, the critical angle is the impact on capital spending, or capex. Supporting this surge in data traffic requires a robust digital foundation, which often involves additional investment in 5G fiber rollouts and network capacity. While this infrastructure is necessary to capture future growth in data consumption, it also adds pressure to the balance sheets of telecom companies. Investors should monitor how these firms balance the need for increased network capacity with their existing debt levels and cash flow requirements.
The Rise of AI Super Users
The report also points to the emergence of AI 'super users,' a segment expected to represent 30% of the population by 2030. These users, who are responsible for the bulk of AI-related activity, are highly sensitive to latency. Any delay or poor connectivity directly affects their experience. This creates a premium on high-performance connectivity, forcing telcos to maintain stringent service standards to prevent customer churn in this high-value segment.
Beyond basic interactions, the adoption of agentic AI—autonomous systems capable of performing tasks like booking services or managing schedules—is expected to grow substantially by the end of the decade. This transition requires networks that can handle autonomous, complex workflows without interruptions. As the sector evolves, the next important monitorable will be how telecom management teams outline their capex plans in response to these changing data patterns and whether they can successfully monetize the increased network load through enterprise AI services or premium data offerings.