04/11/2026
AI is everywhere. When you use a search engine, shop online or interact with a company’s customer support, AI is often embedded in the process. At the same time, active consumer use of generative AI services like ChatGPT, Gemini, Claude or Perplexity is rising. The recent launch of Meta’s Muse brought this to the forefront, with high early adoption proving the appeal (and market value) of consumer-focused AI services.
While AI is computationally intensive, the good news for mobile operators is that its current network requirements are fairly modest – especially when focusing on the ways mobile consumers interact with generative AI services. While increasing numbers of consumers interact with AI with voice and video (more on that below), much interaction, if not most, is still text-based. Our research suggests a text prompt needs just 0.01Mbps download and 0.2Mbps upload. This is just a fraction of what any modern mobile connection can deliver. And yet averaged across the 140 countries we tested, just short of three-quarters of mobile network tests were good enough for text AI. The leading cause of failure here is time to first byte – analogous to time to first token. This is how long it takes for a connection to be established. A slow time to first byte could make AI conversations feel slower and immersive.
In this report we unpack how ready mobile networks around the world are for the different ways consumers interact with AI services, the different network limitations affecting experience, and the broader implications for equitable global AI adoption.
Consumers' use of AI in their personal lives is growing
Across the world AI adoption is growing, with 18.8% of the world’s working-age population using AI as of Q2 2026. While much research focuses on AI in the workplace, personal AI use is rising. On ChatGPT, the volume of non-work messages grew faster than the volume of work-related messages between June 2024 and June 2025. On Gemini, 86% of interactions are now outside of work.
Mobile devices are central to this adoption. Device manufacturers have built AI functionality directly into handsets, meaning users can access generative AI services without having to directly open an app or browse to a webpage. As of January 2026, Apple partners with Google’s Gemini to augment its Siri assistant. Meanwhile, Samsung’s Galaxy S26 allows users to select which AI service they would like to use for their AI assistant, as well as interact with AI directly by long-pressing the power button. Some requests can be handled on the handset, but those that don’t get routed to a generative AI service.
Meanwhile, AI services like Perplexity have explored working with mobile operators, offering year-long AI trials to an operator’s subscribers. This pattern repeats across Japan (Softbank), India (Airtel), Canada (Bell), Germany (Telekom), Singapore (Singtel) and Australia (Optus) among others. Softbank’s announcement of the trial explicitly references the goal to “bring the benefits of AI to all walks of life as soon as possible”, emphasising the role of mobile operators (and their networks) in connecting AI to consumers.
Where (and how) consumers use AI shapes their usage, and changes AI’s network requirements
Mobile interaction with AI also tends to be more conversational than on a computer. On Copilot “users reach for their phones [to interact with AI] for the topics that are more personal or pique their interest beyond work”. Users’ top mobile interactions overwhelmingly centered on searching for information or advice on various topics. In contrast, on computers, top interactions included more intensive and work-focused behaviors: editing, creating and learning.
These personal uses take a very conversational, personal tone: for example, conversations on Anthropic’s Claude outside of work center around emotional and physical wellbeing, finances, and general companionship. This type of conversational, advice-centered interaction demands immediacy. While consumers may be more understanding of delays working on a large file, these back and forth conversations quickly expose when a network causes delays.
Consumers largely interact with AI via text today, but this is beginning to shift. In recent months, increasing numbers of consumers now use voice and live video to interact with AI services. As ofAugust 2026, 63% of Gemini users now use voice at some point in their interactions with Gemini. One in five Gemini Live interactions also involve live camera feeds or screen sharing.
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