We knew foundations mattered. We just hoped they wouldn’t matter this time. That line from Gaurav Ramesh at OpenTable captures what 2025 actually revealed about AI. Most AI initiatives didn't fail because the models weren't ready. They failed because our foundations weren't built for what we asked them to do. Frontier models were positioned as general-purpose intelligence. Powerful enough to work around messy data, unclear ownership, and brittle systems. Most leaders knew foundations mattered. We just hoped the models would let us postpone the hard work. That bet didn’t pay off. A refreshing way to think about 2025's failures? Stalled pilots aren't dead ends. They are the cost of learning. They expose real constraints and clarify what actually needs to change. And budget isn't the missing piece. Money doesn't create clarity — organizational confidence does. The missing foundation isn't data quality or governance. It's self-awareness. AI doesn’t just test infrastructure. It tests how well we understand how we work. 👇 Read Gaurav’s full piece in Metadata Weekly: https://metadataweekly.substack.com/p/the-human-elements-of-the-ai-foundations