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According to an internal OpenAI report, disclosed in media, the number of weekly active users (WAU) of the ChatGPT platform will cross the 1 billion mark in the coming days. Despite the impressive scale, this figure was achieved with a delay of 6-7 months from the company's original schedule (the metric was planned to be achieved in late 2025).
The slower pace of audience growth is due to a combination of external market pressure and internal difficulties with the product line.
Gemini and Claude Pressure, GPT-5 Nuances, and a Melting Monopoly
Analysts identify two key blocks of reasons that have held back OpenAI's expansion schedule:
🌐 Intensifying external competition: The artificial intelligence market is no longer a monopoly. The rapid development of competing models, in particular Google Gemini and Anthropic Claude, has redistributed the audience. Users are increasingly choosing alternative ecosystems to solve specific work tasks and multimodal analysis.
⚠️ GPT-5’s reception is muted: The next-generation large-scale language model, GPT-5, released last fall, encountered a series of difficulties during its training phase. After its official launch, some users expressed dissatisfaction with the interface and quality of responses, which led to a temporary slowdown in the growth rate of new accounts.
📈 Stabilizing the Generative AI Market: The transition from the initial boom to the saturation phase means that attracting each subsequent hundred million users requires greater engineering and marketing efforts.
┌─ │Market redistribution│ │Remarks on UX │ └─────────────────┘ └──────────────────────────────────
HiTech Expert Take
ChatGPT’s weekly audience approaching 1 billion users confirms that generative AI has finally become a basic infrastructure of the modern digital world. At the same time, the six-month delay in reaching this indicator indicates the end of the era of OpenAI’s undisputed monopoly. The rapid development of solutions from Google and Anthropic, especially the latest deal with AMD, creates a healthy competitive environment, forcing developers to focus not only on increasing model parameters, but also on optimizing the user experience and accuracy of output.
