数据摄取点+前置部署工程师：企业AI毛利率逆转之道

The article argues that enterprise AI startups succeed by adopting implementation‑heavy, services‑oriented models similar to early Salesforce, ServiceNow and Workday, rather than pure product‑led growth. It contends that AI agents require deep integration, data ingestion and ongoing management, which creates a need for forward‑deployed engineers and professional services that lower early gross margins but build durable moats and higher margins later. The author claims that even model providers are hiring solutions engineers, and that controlling the data ingestion point is critical for building a system of work that rivals traditional systems of record.