Three structural gaps mapped as arcs across a cluster canvas. Each red dashed bridge is a conversation nobody is having. The critical gap is the thesis itself.
The cluster that describes AI substitution of back-office labor has no bridge to the cluster that describes the regulatory pipeline constraining technician supply. AI can compress every node except the licensed technician — and that fact is what creates the millionaire-owner opportunity. Nobody, including ServiceTitan, is articulating the licensed-physical-presence ↔ AI-augmented-back-office compound.
The operational AI story and the capital-markets story are running on separate tracks. PE buys trades businesses at 3-5× EBITDA and exits at 8-12×. AI is collapsing the cost base of those same businesses. Nobody is formally connecting them: if the owner captures the AI margin, the owner captures the multiple expansion PE was extracting. A $50B-$100B value-migration narrative with no existing author.
The regulatory/supply-side reality (boards, apprentice hours, local trust) is disconnected from the financial/P&L reality (revenue %, back-office labor %, software stack cost). This is where ServiceTitan's pricing conversation actually breaks: ST sells on "platform value," but the customer is reasoning about labor % and licensing-constrained technician hours.