这届打工人花钱上班还不想让老板知道，90%员工偷偷买AI干活

Core Insights - The MIT report reveals that companies have invested hundreds of billions in generative AI, with 95% of this investment yielding no return on investment (ROI) [2][4][6] - Despite the lack of corporate ROI, over 90% of employees are using personal AI tools to enhance their work efficiency, indicating a significant gap between corporate investment and employee usage [7][10][21] Group 1: Corporate AI Investment - The high failure rate of 95% primarily pertains to expensive, custom-built enterprise AI systems that lack learning capabilities [2][4] - Many companies face challenges with complex internal AI systems that do not align with actual business processes, leading to ineffective tools that do not deliver ROI [4][10] - The report emphasizes that the failure of corporate AI tools does not imply that AI technology itself is ineffective, as evidenced by the rise of "shadow AI" [6][23] Group 2: Employee Usage of AI Tools - Approximately 40% of companies provide official AI model service subscriptions, while over 90% of employees frequently use personal AI tools [7][8] - Employee adoption of personal AI tools is more than double that of corporate tools, highlighting a trend where employees prefer using personal accounts for their flexibility and ease of use [8][11] - Personal AI tools, such as ChatGPT, are favored for their user-friendly experience and ability to retain user preferences, unlike many corporate AI systems [11][13][19] Group 3: Financial Implications - Personal users have become a major revenue source for AI companies, with OpenAI reporting that about 75% of its revenue comes from consumer subscriptions [19][21] - The phenomenon of employees paying out of pocket for AI tools reflects a direct acknowledgment of the value these tools provide in enhancing work efficiency [21][23] - The current landscape shows that AI's penetration in business is more driven by individual employee initiatives rather than top-down corporate mandates [23]