Layers of an AI product and their moat potential, from commo

Layers of an AI product and their moat potential, from commoLayers of an AI product and their moat potential, from commodity models at the bottom to trust and distribution at the topTrust, distribution and ecosystemSlow to build. Strongest.Workflow depth and system of actionSwitching costs. Strong.Proprietary context and outcome dataReal if exclusive and compoundingConnectors and integration breadthStandardizing. Falling.Model accessCommodity input. Low.Higher layers take longer to build and longer to copy

Where defensibility sits in an AI product. The model layer is a supplier anyone can buy from. Integration breadth is standardizing. The durable candidates sit above: exclusive context, deep workflow position, and trust and distribution built over years.