Digital Land Rent: Trademark Scarcity, AI Production, and the Monetisation of Intangible Signifiers

his paper argues that generative AI is reducing the cost of producing marketing assets, names, and symbolic content, shifting competitive advantage away from the production of symbolic artefacts and toward the legal and institutional control points that govern brand identity. It proposes “Digital Land Rent” as a heuristic for the economic returns that may accrue to trademark proprietors when commercially salient signifiers are legally scarce, even if they are linguistically or visually replicable. Using a decoupling framework, the paper analyses an Owner-First model in which trademarks, provenance, and narrative are developed prior to product-market operation and later licensed or transferred to operators. It also examines specification breadth, applicant intent, bad-faith doctrine, and emerging bank practices that incorporate IP valuation into lending decisions. The paper contributes to law-and-economics debates on intangible capital, trademark scope, and valuation under conditions of expanding AI-assisted production.