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AI Chatbots Are Growing 7x Faster Than Social Media — But Still Have 4x Less Traffic

A Similarweb analysis of global web traffic patterns reveals AI chatbots growing at a rate seven times that of social media platforms. The catch: social media's installed base is so large that chatbots, despite their explosive growth trajectory, are still a fraction of the total engagement they're racing toward.

D.O.T.S AI Newsroom

D.O.T.S AI Newsroom

AI News Desk

3 min read
AI Chatbots Are Growing 7x Faster Than Social Media — But Still Have 4x Less Traffic

A new analysis from Similarweb puts a precise number on AI chatbot growth relative to the social media category that many observers have positioned as its competitive target: AI chatbots are growing at seven times the rate of social media platforms in terms of web traffic. The same data makes clear why this comparison is premature: social media still commands four times the total traffic of AI chatbots, meaning the gap in absolute terms remains enormous despite the growth rate differential.

What the Data Shows

The Similarweb analysis examines aggregate traffic across the major AI chatbot platforms — ChatGPT, Gemini, Claude, DeepSeek, Copilot, and others — against the established social media category. The 7x growth differential reflects a category in rapid adoption expansion, with the AI chatbot user base growing much faster than social media's more mature, plateau-approaching trajectory.

The 4x traffic gap places things in context. Social media has had twenty years to accumulate daily active users, behavioral habits, and algorithmic engagement loops that are measured in billions of daily sessions. AI chatbots are a category that, in its current consumer-facing form, is roughly two to three years old. The gap is large but the direction of travel is clear.

Device and Behavior Differences

The Similarweb data reveals meaningful differences in how users access AI chatbots versus social media. Social media is heavily mobile-native — the majority of engagement happens on smartphones through apps, not browsers. AI chatbots, by contrast, see proportionally higher desktop usage, reflecting their current primary use case: work and productivity tasks that benefit from keyboard-heavy interaction, larger screens, and the ability to paste code or documents.

This device distribution has implications for where chatbot growth will come from next. The gap between chatbot desktop usage rates and social media's mobile dominance suggests that AI chatbots have not yet fully penetrated the casual mobile use case — the idle browsing, social feed checking, and messaging behavior that drives the majority of social media sessions. If chatbot platforms can develop genuinely compelling mobile-native use cases, the growth rate differential could widen rather than converge.

The Race That Matters

The comparison to social media is instructive not because chatbots will replace social media in its current form, but because both categories compete for the same finite resource: human attention and information-seeking behavior. Social media won the last decade of attention competition by giving users content that found them. AI chatbots are winning the current cycle by letting users find exactly what they need. Whether that query-driven model scales to social media's ambient engagement volumes is the defining growth question for the category.

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