The Retention Asymmetry
Domain-specific AI tools retain customers at 3-5x the rate of horizontal tools. This isn't a coincidence — it's structural. When the tool understands your workflow, switching means more than changing software.
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The Credit Wallet
Credit-based pricing is becoming the dominant model for AI-native SaaS. It's not just a billing mechanism — it's a way of making AI costs predictable for buyers while keeping pricing aligned with actual usage.
The Per-Resolution Shift
AI pricing is moving from seats to outcomes. The most successful AI products in 2026 are charging per resolved ticket, per completed draft, per analyzed document. This isn't a billing detail — it's a product philosophy.
What the Enterprise Buys
Enterprise buyers aren't paying for AI. They're paying for domain knowledge that makes AI usable in their workflow. The tools that command enterprise prices are the ones that know what the profession expects.
The Fifteen-Minute Lease
Lease abstraction used to take four to six hours per lease. AI has brought it to fifteen minutes. The question now isn't whether AI works — it's where the output goes.
The IC-Ready Threshold
The question for professional AI tools isn't whether the AI is accurate enough. It's whether the output clears the threshold to go directly to the investment committee.
The Thirty-Day Window
Commercial real estate acquisitions run on a thirty-day due diligence clock. Everything about professional AI tools for this market has to be understood in terms of that constraint.
Distribution Is the Product
The best-distributed tool wins more often than the best-built tool. In protocol-native markets, distribution is a first-class product decision.
The Data Layer and the Workflow Layer
Two kinds of AI tools are emerging in every vertical: ones that give you access to data, and ones that help you do something with it. They aren't competitors.
The Five Percent Gap
Eleven thousand MCP servers exist. Less than five percent are monetized. That gap is the opportunity.