VentureBeat's Pulse Research survey of 101 enterprises (100+ employees) reveals a significant context gap — the disconnect between how confidently AI agents answer and how reliable the underlying context actually is. A majority of enterprises (57%) report that in the past six months their AI agents produced confident but wrong answers traced to missing or inconsistent business context, with more than half of those experiencing the failure multiple times.
The retrieval infrastructure market is consolidating in surprising directions. Provider-native solutions already lead: OpenAI's file search (40%) and Google's Vertex AI Search (38%) outpace any dedicated vector database. Enterprises expect hybrid retrieval to dominate by end of 2026 (34%), yet a plurality (36%) say they intend to keep best-of-breed standalone tools rather than consolidate onto a provider's native stack.
The fix is being built but not yet deployed at scale. While 58% of enterprises already run or are building a governed semantic layer, most have not yet put it into production. The survey found 57% plan to switch or add a provider within the year — revealing a gap between stated preference for independence and actual buying behavior toward provider-native solutions.