Computational Property Liquidity
The capacity of a property to enter AI consideration sets and generate qualified matches.
Description
Computational Property Liquidity measures how readily properties can be discovered, evaluated, and matched by AI systems. High CPL means the property reliably enters AI consideration sets and generates qualified interest. Low CPL indicates representation or verification barriers. CPL affects Time to Qualified Match and Asset Productivity. CPL is the property-specific manifestation of general Computational Liquidity.
Related Concepts
Related Research
The Balance-Sheet Economics of AI-Mediated Demand
The migration of discovery and comparison from human-mediated search to AI-generated answers and agentic interfaces may alter the economics of acquiring and distributing demand in physical-asset markets. This paper examines how AI-mediated demand formation could affect customer acquisition costs, distribution dependency, contribution margins, and asset productivity in real estate and hospitality. We propose that zero-click—initially observed as a traffic problem—may transmit structurally into distribution cost inflation and ultimately appear as margin pressure. We formalize a transmission mechanism in which representation deficits may transmit through demand leakage, distribution dependency, and acquisition-cost inflation to contribution-margin compression, while lower qualified-demand capture may separately affect occupancy, time-to-match, and asset productivity. Contribution margin and asset productivity may subsequently interact through operating and reinvestment feedback effects. The paper introduces a measurement architecture designed for empirical validation: representation quality (VIS), readiness (GARI), market outcomes (ARS, PDD, CDL), financial impact (RAAC, CMP, RROI), and exploratory composite indices. The Verified Property Representation (VPR) is positioned as a proposed persistent representation layer intended to improve computational legibility—a testable intervention through which the paper's hypotheses may be validated.
Agent-Ready Market Infrastructure
Agent-Ready Market Infrastructure introduces the infrastructure layer for AI-mediated economies, specifying how economic entities, assets, and services can become discoverable, interpretable, comparable, verifiable, permissioned, and transaction-capable for AI agents. This document defines the Agent-Readiness Index (ARI) as a multiplicative measurement framework, the Global Agent-Readiness Index (GARI) for cross-border market access, universal Verified Property Records as persistent portable representation, jurisdictional legibility for legal interoperability, semantic portability for cross-system understanding, and computational eligibility as the prerequisite condition for allocative participation.
Related Primitives
Verified Property Record (VPR)
A canonical, machine-readable property record with verified attributes, trust signals, and action protocols designed for AI-mediated discovery and transaction coordination.
Computational Eligibility (CE)
CE(e) — The condition of being discoverable, interpretable, comparable, verifiable, permissioned, and actionable by artificial agents. Also referred to as AI Eligibility.
Computational Liquidity (CL)
CL — The ease with which assets can be discovered, evaluated, compared, and transacted by AI systems in AI-mediated markets.
Time to Qualified Match
Elapsed time between market availability and the first qualified match, enquiry, or consideration outcome.