AI Agents and the Fight for Customer Data

AI agents necessitate centralized data context, elevating the role of robust data infrastructure in modern enterprise environments. Contrary to fears that AI will trigger a "SaaSpocalypse" by rendering traditional SaaS obsolete, the technology is driving increased software consumption and a heightened demand for open, accessible data. Vendors attempting to restrict API access or wall off data are creating friction for customers who must maintain their own data lakes to power AI workflows effectively. Fivetran CEO George Fraser argues that the most successful data foundations for AI are those already in place, such as Snowflake or Databricks, rather than exotic new systems. The recent merger between Fivetran and DBT underscores this shift, integrating data ingestion with modeling to provide the reliable, executable data artifacts required for AI agents to operate within complex business processes.