两份报告，两种 PMF：ChatGPT 跑通了 Copilot，Claude 验证了 Agent

Core Insights - The article highlights the distinct user mindsets and usage patterns of OpenAI's ChatGPT and Anthropic's Claude, indicating that ChatGPT is more suited for conversational tasks while Claude is geared towards executing tasks [4][5][6] User Demographics and Engagement - ChatGPT has reached 700 million weekly active users, representing about 10% of the global adult population, while Anthropic has provided insights into both consumer and enterprise usage for the first time [4][22] - The user base for ChatGPT has shown rapid growth, surpassing 1 million users within five days of launch and reaching 350 million within two years [22] - The proportion of non-work-related messages sent by ChatGPT users increased from 53% in June 2024 to 73% in June 2025, indicating a shift towards more casual usage [25] Usage Patterns - ChatGPT is primarily used for practical guidance, information seeking, and writing, with these categories accounting for approximately 77% of use cases [30] - Claude's usage is shifting towards automation, with 39% of interactions being directive automation, surpassing collaborative enhancement interactions [42] - In terms of task types, writing tasks account for about 40% of work-related messages in ChatGPT, while coding tasks have become more prevalent in Claude's usage [28][20] Task Execution and Collaboration - ChatGPT's interaction model is conversational, allowing users to refine results through dialogue, while Claude's model is more directive, focusing on task completion [18][9] - The report indicates that 77% of enterprise tasks using Claude are automated, highlighting a preference for systematized task execution over collaborative efforts [54][55] - The analysis shows that higher-income countries utilize AI for diverse knowledge work, while lower-income countries focus on single programming tasks [46] User Characteristics - The user demographic for ChatGPT is becoming more balanced in terms of gender, with a notable shift towards female users by mid-2025 [34] - Younger users (18-25 years) send a significant portion of messages, but older users tend to have a higher proportion of work-related messages [40] Economic Implications - The report suggests that the automation of tasks through AI could lead to significant economic transformations and productivity enhancements [20] - Companies are increasingly willing to engage in high-cost tasks, indicating a focus on capability and value rather than cost [60][61]