下一个万亿级生意：AI正在争夺企业的“第二资产”

Core Argument - The article discusses the debate on whether AI, particularly Agents, will replace traditional SaaS systems, arguing that while traditional systems will not disappear, new opportunities lie in capturing decision-making processes through Context Graphs [5][17][52]. Group 1: The Role of Traditional Systems - Jamin Ball argues that the rise of Agents will not eliminate traditional Systems of Record (SoR) but will increase the demand for accurate underlying data [6][13]. - Traditional systems have created a trillion-dollar ecosystem by managing authoritative data and workflows, which are essential for customer retention [11][12]. - The focus is on whether these legacy systems can survive the transition to an Agent-driven model [13][17]. Group 2: Context Graphs and Decision Traces - Jaya Gupta highlights that the blind spot of traditional systems is not data but the lack of context, which is often found in informal communications and exceptions [7][8]. - Decision Traces, which include exceptions and cross-departmental communications, are crucial for understanding the real operational logic of businesses [15][20]. - Capturing these Decision Traces can lead to the creation of Context Graphs, which serve as a new asset for companies, linking decisions over time and across entities [16][26]. Group 3: Challenges in Current Systems - Existing SaaS giants like Salesforce and Workday may struggle to evolve into systems that capture decision-making contexts due to their foundational design focused on current states [30][32]. - Current systems fail to record the context of decisions, making it difficult to audit or learn from past actions [31][32]. - The gap between data storage and decision-making execution paths limits the ability of existing systems to provide comprehensive insights [32][36]. Group 4: Startup Opportunities - Agent system startups can take various paths, such as replacing existing record systems, targeting specific workflows, or creating entirely new record systems focused on capturing decision traces [39][41][43]. - The emergence of roles like RevOps and DevOps indicates a need for systems that can bridge gaps between existing software, highlighting opportunities for automation through Agents [51]. - The article posits that the next trillion-dollar platform will be built on capturing actionable decision traces rather than merely adding AI to existing data [52].