ERP Is the Moat

Everyone wants to build the next AI-native app. Nobody wants to touch the ERP.

That's the moat.

Enterprise resource planning systems, D365, SAP, Workday, Oracle, are where the actual money lives. Not the dashboards. Not the reporting layer. The systems that actually move cash, approve headcount, close books, and route purchase orders. The ones that haven't been fundamentally redesigned since the early 2000s and yet somehow hold together trillion-dollar operations.

The AI gold rush of 2024-2026 produced a thousand copilot wrappers. Most of them sat on top of clean APIs and well-structured data. Enterprise ERP is neither. It's decades of customizations, inconsistent data models, country-specific compliance logic, and change management processes that require three approvals to update a field label.

This is exactly why it's valuable. The harder it is to enter, the fewer people try. The fewer people who try, the wider the gap between what's possible and what anyone has actually shipped.

Agentic AI changes the calculus. You don't need to rip and replace a system that a company has spent fifteen years configuring. You build an intelligent layer over it, one that can interpret natural language requests, route them through the right approval workflows, execute against the underlying system, and audit the result. The ERP stays. The friction goes.

That's not a feature. That's a category.

The builders who figure out how to make ERP intelligent, not around it, but through it, are going to have a very good decade.