Is AI really the hard part anymore, or is it getting AI to access the right data?

Reddit r/ArtificialInteligence 08/02/26, 10:27 AM News

enterprise-ai data-management llm knowledge-management permissions rag

Summary

A discussion on whether LLM capability or enterprise data access and permissions is the bigger bottleneck for AI adoption, arguing that content management is becoming as critical as the models themselves.

LLMs keep getting better, but every company I talk to seems to hit the same wall: their knowledge is scattered across PDFs, Word docs, shared drives, emails, and cloud storage. Even the smartest model isn't very useful if it can't securely find the information people actually need. I'm starting to think that content management and permissions are becoming just as important as the AI model itself. Curious what others think. Are better AI models the future, or is organizing enterprise data the bigger challenge?

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