#职业如果是产品岗，直接接触业务（而不是局部功能模块），创业公司比大厂好很多。不过先去大厂镀金是对的，不能一直待。tangjinzhou (@tangjinzhou):给大家讲个故事吧，当年我浙大毕业后去了一家靠谱的创业公司，老板特别看重我我，生怕我干几个月就跑了还经常吐槽大厂员工，还画饼要带我去敲钟直到有一天老板和我说：jinzhou，告诉你个好消息，过几天有个阿里员工加入，以后你可以跟着他，好好学习，对你成长有很大的好处所以我的建议是： ...

Core Insights - The article discusses the current state of AI and its potential impact on entrepreneurship, emphasizing that while AI is being heavily promoted, its practical applications in everyday tools remain limited [2][3][8] - It raises questions about how AI will change the structure of startups and whether it will lead to fewer or more employees needed in the future [3][6][7] - The article suggests that the future of entrepreneurship may see a shift in how companies are organized and funded, with implications for venture capital and the traditional startup funding stages [6][8] Group 1: Current State of AI - Despite the hype around AI, the number of "AI-native" applications on personal devices is surprisingly low, indicating that the technology has not yet been fully integrated into daily life [2] - The article highlights the potential for AI to transform work processes, but acknowledges that this transformation is still in its infancy [2][3] Group 2: Future of Startups - There is a debate on whether future startups will require fewer employees due to AI's leverage effect, or if they will still need a significant workforce for tasks that AI cannot handle [3][6] - The article posits that the barriers to entry for new startups may change, with a focus on user growth and network effects becoming more critical in a landscape where AI capabilities are easily replicated [3][6][7] Group 3: Venture Capital and Funding - The traditional venture capital model may evolve as product development becomes easier and cheaper, potentially leading to a more decentralized investment landscape [6][8] - The article questions whether the current stages of funding (seed, Series A/B/C) will remain relevant in a future where products can quickly achieve profitability with minimal investment [6][8] Group 4: Historical Context - The article draws parallels between the evolution of business structures in the past and the potential changes brought by AI, suggesting that existing frameworks may not be sufficient to harness the productivity gains from AI [5][6] - Historical examples illustrate how technological advancements have reshaped business organization, hinting at a similar transformation in the AI era [5][6] Group 5: Competitive Landscape - The competition between established companies and startups will be crucial, with the outcome depending on who can leverage innovation and distribution channels more effectively [8] - The article suggests that the next few years will be pivotal in determining how AI will be integrated into business models and the overall entrepreneurial landscape [8][9]