下一个万亿AI赛道,上下文图谱,才是AI创业的真正机会
3 6 Ke·2026-01-09 12:39

Core Argument - The debate in Silicon Valley centers around whether AI, particularly Agents, will replace SaaS systems. Jamin Ball argues that Agents will not eliminate traditional Systems of Record but will increase the demand for accurate underlying data [1][2][7]. Group 1: Context Graph as a Valuable Asset - The concept of a Context Graph is introduced as the "second asset" of companies in the AI era, capturing decision traces that traditional Systems of Record fail to document [5][9]. - Traditional enterprise software created a trillion-dollar ecosystem by managing authoritative data and workflows, but the focus is now shifting to how these systems can survive the transition to AI Agents [6][7]. - The key distinction is made between rules that guide Agents and decision traces that provide context for specific cases, highlighting the need for Agents to access both [8][10]. Group 2: Limitations of Existing Systems - Existing Systems of Record often fail to capture critical decision-making processes, leading to a lack of context that Agents require to function effectively [10][11]. - Examples of unrecorded decision-making include exceptions known only to employees, past precedents, and cross-system judgments that are not documented in existing systems [10][11]. - The inability of current SaaS giants to capture the full context of decisions limits their ability to evolve into the next generation of systems that can leverage AI effectively [16][18]. Group 3: Opportunities for Startups - Startups in the Agent system space have structural advantages as they operate on the orchestration layer, capturing decision-making processes in real-time [20][22]. - Three paths for startups are identified: replacing existing record systems, targeting specific workflows, or creating entirely new record systems that capture decision traces [24][25][26]. - The emergence of observability for Agents is highlighted as a new infrastructure, allowing companies to monitor Agent behavior and decision quality [27][28]. Group 4: Signals for Entrepreneurs - Entrepreneurs should look for signals indicating high human input and high variability in decision-making processes as opportunities for automation through Agents [29]. - The existence of roles like RevOps and DevOps indicates a gap in current software ecosystems, suggesting a need for solutions that can capture cross-functional context [29][30]. - The ultimate question remains whether the next trillion-dollar platform will be built by simply adding AI to existing data or by capturing actionable decision traces [31].