The trained-user-interface moat collapses when the interface becomes natural language. Nobody needs to learn your UI when they can just tell an agent what to do.
Data gravity is the ultimate moat. AI agents need clean, structured, accessible data to function. The companies that hold the data become more valuable, not less.
100% accuracy required. Governments will not accept “approximately compliant.” ERP, payroll, credit scoring, and defense systems demand deterministic outputs.
Winners: SAP, Oracle, ADP, FICO, Leidos, Veeva Systems
Network Effects
Self-reinforcing lock-in. Every new node makes the network stickier. Every agent that connects through the protocol makes the protocol more essential.
Two moats die. Three moats compound. The per-seat model and the UI moat built a $2 trillion market. Both are now liabilities. The companies that survive — and expand — are those built on data gravity, regulatory requirements, and network effects. These moats don’t just survive the agent era. They get stronger.
Gennaro is the creator of FourWeekMBA, which reached about four million business people, comprising C-level executives, investors, analysts, product managers, and aspiring digital entrepreneurs in 2022 alone | He is also Director of Sales for a high-tech scaleup in the AI Industry | In 2012, Gennaro earned an International MBA with emphasis on Corporate Finance and Business Strategy.
