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Daily multimodal AI use in India is projected to rise from 22% now to 43% by 2030, compared with a global forecast of 30%, according to Ericsson ConsumerLab research.
As Indian consumers increasingly share images, video and audio with cloud-based AI models, mobile traffic is likely to become more uplink-intensive and less predictable, thus increasing pressure on networks. Traditional communications networks are designed for more downlink traffic because activities such as social media, browsing or video streaming demand downloading more data than they upload.
"Multimodal AI will introduce new use cases that reshape mobile data consumption, driving not just higher traffic but also changing how it flows," according to Siddhant Cally, senior analyst at Counterpoint Research.
This change in traffic patterns will demand a change in network strategy as well. "India's 5G networks were built primarily for high-volume downlink traffic, using mid-band spectrum, partic...

