On June 1, 2026, analytics firm DataEye reported that global downloads of “native AI” apps reached an estimated 365 million in April 2026, down 9.23% month-on-month. In China’s iOS market, leading AI apps such as Doubao, Dreamina and others all saw download declines, while OpenAI’s ChatGPT and Google Gemini growth flattened globally.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
The DataEye numbers are an early sign that the first wave of consumer AI app mania is peaking. A 9% month-on-month drop to 365 million downloads globally, plus broad declines across China’s top AI assistants, suggests we are exiting the “everyone just wants to try ChatGPT” phase and entering a more normal, productivity‑driven adoption curve. For frontier labs, that’s not necessarily bad news: fewer speculative installs and more sustained daily use should give clearer signals about what users actually value.
Strategically, the report also underlines how competitive the AI app layer has become. China’s market, in particular, looks saturated: most major assistants lose downloads simultaneously, even as marketing spend remains high and newcomers like DeepSeek and Kimi fight for share. In that environment, differentiation will come less from base models and more from tight vertical integration—deep workflows, domain-specific tools, and trust.
For the race to AGI, this cooling at the app edge may re-balance attention back toward infrastructure and agentic systems rather than yet another chat front-end. Sustainable value will accrue to stacks that turn raw model capability into reliable workflow automation, not just flashy interfaces, and that’s where AGI-like reasoning will eventually have to prove itself.



