I’m trying to think through the long-term future of enterprise AI tools. Companies like Glean have built around enterprise search, company knowledge graphs, permissions, connectors, citations, and internal knowledge discovery. But now tools like Claude Cowork, Microsoft Copilot, and Gemini are moving toward “just ask the agent to do the work” across files, apps, and workplace context. So my question is: Do enterprise search / knowledge-layer startups still have a durable role, or do they get absorbed by the agent layer? My current intuition is that Glean’s standalone app experience could get squeezed, because users probably don’t want to search in one tool and then work in another. But maybe Glean survives as infrastructure: a neutral, permission-aware knowledge layer that Claude/Copilot/Gemini-style agents can call into. Curious how others see this. Is the long-term winner the agent interface, the enterprise knowledge substrate, or both? submitted by /u/jannemansonh
Originally posted by u/jannemansonh on r/ArtificialInteligence