Glean must own workflows and data

This risk is really a warning that Glean cannot win by being the plumbing between roughly interchangeable models. Its durable value has to come from the hard parts that model labs and suites still do badly, connecting messy enterprise systems, respecting permissions, and turning search into repeatable work inside finance, sales, and compliance flows. That is where customers pay for fewer tools and faster internal execution, not for model switching alone.1 2 3 4

• Glean is already shifting up the stack. By January 2026 it had added a no code agent builder, and the clearest hard ROI came from replacing separate internal tool products like Retool, Airtable, and Zapier, not from soft time savings on search alone.1
• There is precedent for this kind of squeeze. Perplexity broke out on AI search, then saw that feature copied by ChatGPT, Claude, Gemini, and Copilot. Its response was to move toward owning the interface and transaction layer. That is the same pattern Glean faces if model access becomes generic.3
• The model labs are already moving closer to Glean's territory. Anthropic pushed Claude toward enterprise retrieval with long context, projects, SSO, permissions, and audit logs, while interviews with Cohere show the real enterprise challenge is not raw model quality, but grounding on internal documents and proprietary systems customer by customer.2 4

The next phase favors enterprise AI products that own workflow and data access, not just routing. If Glean keeps turning search into agents that complete specific jobs across fragmented apps, it stays important even in a commodity model world. If it remains mostly a neutral layer between users and converged models, price pressure will keep intensifying.1 2 3 4