Web statistics show that generative AI is mostly ChatGPT hype


Generative AI is supposed to change our work in many areas, but web statistics show that the sector is driven and dominated by ChatGPT.

A16z analyzed traffic to various GenAI-related websites using Similarweb. Among the top 50 “GenAI” web applications, ChatGPT is by far the most popular, accounting for 60 percent of the total traffic.

Top 50 GenAI apps. ChatGPT leads by a wide margin. | Image: a16z

The second and third most popular GenAI apps are Character AI, a chat app mostly used for entertainment, and Google’s Bard chatbot. However, the gap to ChatGPT is so large that their impact is hardly significant.

ChatGPT and then nothing for a long time. | Image: a16z

Considering that many text-based GenAI applications such as Poe or Perplexity.ai are based on OpenAI technology, this shows the enormous dominance of the ChatGPT company in a relatively small market.



ChatGPT is still a small phenomenon

Putting ChatGPT traffic in relation to popular web platforms again puts the scale of GenAI into perspective. Even if the comparison is flawed because platforms like WhatsApp or YouTube serve very different purposes, the statistics show that ChatGPT as a giant within GenAI is a rather small phenomenon overall, roughly on the traffic level of Yahoo or Canva.

ChatGPT ranks 24th among the world’s most popular websites. | Image: a16z

What do these statistics tell us? ChatGPT and Generative AI are still rather niche phenomena, despite a rocket start.

The tools are already useful for many people, but they are still looking for a solid place in many areas. Moreover, their cost-benefit ratio is increasingly being questioned, and the very basis of their existence is being challenged in court.

Next-generation models could lead the way

Whether the current hype and prophecies about the massive impact of generative AI on our lives and work are exaggerated will become clearer when the next-generation models (Gemini, GPT-5, Claude 3, …) hit the market.

Will they be five or ten percent better than today’s systems? If so, large language models and other generative AI systems will remain useful tools that can extend, speed up, or simplify some text or image work and help with creative thinking.


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