长久以来，我们不断听到关于人工智能取代工作的言论。起初仅限于边缘领域，如今却开始侵蚀曾经被认为不可撼动的岗位。自动化重塑的不仅是行政工 作、文案撰写或设计，连咨询顾问、数据分析和编程领域也未能幸免。 但历史告诉我们，技术变革并非消灭工作，而是会重塑工作形态。工业革命并未终结人类的贡献，它只是重新定义了人类创造最大价值的领域。 当今人工智能正在重演这一过程。尽管它确实取代或减少了对某些岗位的需求，但它能够也必将开辟新的创业机遇之路。无代码工具、自动化工作流和人工 智能驱动的创业支持工具的兴起，使人们能够比以往更快地将创意转化为企业。当前真正的挑战在于确保这些资源的可及性与利用率，能够匹配人工智能引 发的岗位替代率。 尽管就业率看似稳定，数据却掩盖了工作方式的深层变革。自动化进程持续推进，人工智能更将其加速，众多企业悄然削减人力，方式并非裁员，而是缩减 工时、自动化任务或依靠精简团队维持生产力。这种隐性工时缩减被称为"影子裁员"，其揭示的就业状况远比头条新闻和统计数字复杂得多。 1. 人工智能让独立创业更具可行性 神译局是36氪旗下编译团队，关注科技、商业、职场、生活等领域，重点介绍国外的新技术、新观点、新风向。 ...

Core Viewpoint - The discussion centers around whether AI will enable new entrants in the ToB sector to outcompete established players, with insights suggesting that established companies may leverage AI to enhance their existing advantages rather than being displaced by newcomers [1][2][3]. Group 1: Old Players vs. New Entrants - Established companies ("old players") possess significant advantages such as accumulated customer resources, data, insights, and trust, making it easier for them to address client issues compared to new entrants [4][6]. - The evolution of AI tools, like DeepSeek, is seen as a means for old players to rejuvenate their offerings, rather than being outright replaced by new entrants [4][19]. - The ability to utilize localized information remains a critical advantage for old players, which AI cannot easily replicate [5][6]. Group 2: AI's Role and Future Implications - In the short to medium term, AI is expected to enhance efficiency across the board, but it will not fundamentally change the competitive landscape between old players and new entrants [5][6]. - The future of AI in the ToB sector may involve a collaborative model where human expertise and AI capabilities complement each other, rather than a complete takeover by AI [4][12]. - The potential for AI to automate knowledge and processes presents new opportunities for SaaS companies, particularly in automating knowledge management and enhancing operational efficiency [26][29]. Group 3: Knowledge Evolution and Business Models - The evolution of knowledge management through AI tools is crucial for bridging the gap between human expertise and automated systems [20][21]. - The shift towards performance-based payment models (e.g., RaaS) reflects a changing landscape where companies are incentivized to deliver measurable results [27][28]. - The integration of AI into business processes is expected to reduce operational costs and improve efficiency, particularly in sectors like healthcare and finance [29][30]. Group 4: Market Dynamics and Future Trends - The AI landscape is anticipated to undergo a cycle of expansion and contraction, similar to past trends in the mobile internet sector, with many new applications emerging but only a few surviving long-term [24][26]. - The lowering of technical barriers due to AI advancements may lead to increased competition, but established players with deep industry knowledge will still hold significant advantages [14][19]. - The future of the ToB sector will likely see a blend of traditional expertise and new AI capabilities, creating a dynamic environment for both old and new players [30][31].