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OpenAI’s ChatGPT will reach 700 million weekly active users this week, the company announced Monday, cementing its position as one of the fastest-adopted software products in history just as the company prepares to release its most powerful language model yet.
The surge is a 40 percent jump from the 500 million weekly users ChatGPT had at the end of March and marks a fourfold increase from the same period last year. The explosive growth rivals the adoption rates of platforms like Zoom during the pandemic and early social media networks, underscoring how quickly AI tools have moved from experimental to essential.
This week, ChatGPT is on track to reach 700M weekly active users — up from 500M at the end of March and 4× since last year. Every day, people and teams are learning, creating, and solving harder problems. Big week ahead. Grateful to the team for making ChatGPT more useful and… — Nick Turley (@nickaturley) August 4, 2025
The milestone comes at a strategic moment for OpenAI, which reportedly plans to launch GPT-5 in early August, citing sources familiar with the company’s plans. The timing suggests OpenAI is orchestrating a coordinated push to dominate the AI landscape before competitors can close the gap.
“Every day, people and teams are learning, creating, and solving harder problems,” said Nick Turley, OpenAI’s vice president of product for ChatGPT, in announcing the user benchmark. “Big week ahead.”
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GPT-5 will combine reasoning powers into single AI system
The upcoming model goes beyond an incremental upgrade. According to people briefed on the project who spoke to The Information, GPT-5 will integrate OpenAI’s advanced reasoning capabilities from its o3 series directly into the flagship GPT platform, creating what CEO Sam Altman has described as “a system that integrates a lot of our technology.”
This integration marks a strategic shift for OpenAI, which has previously released reasoning models separately from its general-purpose language models. By combining these capabilities, the company aims to reduce user confusion about which model to deploy for specific tasks while creating a more powerful unified system.
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