Peak download speeds are becoming a poor way to judge 5G performance as AI moves into mobile networks. Ookla. The company says the best traditional speedsheets aren’t always the best-suited networks for AI applications, which depend on load capacity, latency under load and cloud routing.
In a report based on 2025 Speedtest Intelligence data from 22 markets and 86 operators, Ookla claims that artificial intelligence traffic is changing the old mobile network playbook. Text chat, voice, multimodal tools, and agent tasks all place different demands on the network, and most of them have lower load capacities than the services operators have historically optimized for.
This is important because mobile AI is not just about getting content to the phone. It also means sending instructions, audio, images and video back to the cloud quickly and reliably, which means uplink performance and consistency can shape the experience more than headline download numbers.
Why the UAE stands out
The UAE is prominent in Ookla’s data. It ranks highest in the market for initial responsiveness, and the report’s spoken voice meets the AI latency target at 31.1ms. The country also has the lowest average loaded latency of any market in the study at 288.4ms.
When downloaded, e& UAE leads the complete data set with an average 5G download speed of 57.50 Mbps. Ookla says that upstream capacity is increasingly important as the use of artificial intelligence becomes more interactive and more dependent on the cloud.
The report also highlights a wider gap in how networks are built. Ookla says mobile 5G has been deployed largely on the assumption that people will consume more than they produce, but AI is pushing traffic in the opposite direction. In the dataset, even with AI workloads approaching a 50/50 split between uplink and downlink, the workload share is still around 10% in many markets.
Latency under load is another weak point. While many markets can meet basic AI text thresholds, once the networks get busy, performance degrades, leaving more challenging targets for AR and multimodal vision entirely out of reach. Ookla’s broader point is simple enough: the network can look fast on paper, and still feel slow when AI applications demand an immediate response.
The takeaway for users is that 5G coverage alone is no longer the whole story. If mobile AI becomes part of everyday use, a better network isn’t necessarily the fastest download result—it’s a network that can quickly upload data, be responsive during congestion, and reach cloud services with minimal latency.
