Zero-Click and Computational Transmission Primitives
Volume XII: Primitives for analyzing the Zero-Click Economy, computational transmission gaps, and value reallocation in AI-mediated markets. These primitives measure how demand, visibility, and value flow through AI systems.
Primitives (44)
Computational Selection (CS)
CS(e) — The process by which AI systems evaluate and select assets for inclusion in consideration sets, independent of human browsing or clicking.
Computational Recommendation (CR)
CR(e) — The stage where AI systems present selected options to users with explanations and rationale for the recommendation.
Computational Verification (CV)
CV(e) — The process by which AI systems verify claims, trust signals, and preconditions before recommending or acting on assets.
Computational Actionability (CAc)
CAc(e) — The extent to which AI systems can initiate or coordinate transactions on behalf of users, subject to authorization and safety constraints.
Computational Conversion (CC)
CC — The rate at which AI-mediated selection and recommendation convert into actual transactions or economic outcomes.
Potential Demand (PD)
PD — Economic demand that exists or could exist but is not realized through AI-mediated channels due to exclusion, friction, or transmission gaps.
Realised Demand (RD)
RD — Economic demand that successfully completes the AI-mediated funnel from discovery through selection to transaction.
Transmission Coefficient (TE)
TE = RD / PD — The ratio of realised demand to potential demand, measuring how effectively economic demand transmits through AI-mediated channels.
Computational Transmission Gap (CTG)
CTG = PD - RD — The portion of potential economic demand that is lost due to exclusion, friction, or gaps in AI-mediated channels.
Visibility Transmission Gap (VTG)
VTG — The portion of assets that are visible online but not discoverable by AI systems through computational search.
Selection Transmission Gap (STG)
STG — The portion of AI-discovered assets that are not selected or recommended by AI systems for user consideration.
Recommendation Transmission Gap (RTG)
RTG — The portion of AI-selected assets that are not recommended to users or where recommendations fail to convert to user consideration.
Verification Transmission Gap (VtG)
VtG — The portion of recommended assets where users or AI systems cannot verify claims or preconditions before taking action.
Action Transmission Gap (ATG)
ATG — The portion of verified assets where transactions cannot be completed due to action protocol gaps, authorization failures, or missing infrastructure.
Revenue Realisation Gap (RRG)
RRG — The portion of economic value that exists but is not captured as revenue due to AI-mediated transmission failures.
Citation Transmission Branch (CtB)
CtB — The phenomenon where assets are cited or referenced by AI systems but not transmitted through to economic transactions or revenue capture.
Computational Visibility Loss (CVL)
CVL — The degradation or complete loss of AI-mediated visibility due to representation decay, canonical drift, or platform dependency.
Computational Access Gap (CAG)
CAG — The disparity between online presence and AI-mediated access, where assets exist online but cannot be discovered or selected by AI systems.
Economic Recommendation Loss (ERL)
ERL — The economic value lost when AI systems recommend alternatives over economically optimal choices due to representation quality or algorithmic bias.
Inference Burden (IB)
IB — The computational cost and complexity required for AI systems to extract, infer, or reconstruct information from representations.
Token Efficiency (TEf)
TEf — The amount of useful information extracted per unit of computational cost (tokens) in AI-mediated processing.
Computational Liquidity (CL)
CL — The ease with which assets can be discovered, evaluated, compared, and transacted by AI systems in AI-mediated markets.
AI Allocability (AA)
AA — The extent to which economic entities, assets, or services can be allocated by AI systems in consideration sets and decision processes.
AI Allocability Discount (AAD)
AAD — The reduction in economic value or market access for assets with low AI allocability, independent of their fundamental economic quality.
Platform Dependency (PD)
PD — The extent to which AI-mediated access and allocability depend on specific platforms, infrastructures, or intermediaries.
Zero-Click Exposure (ZCE)
ZCE — The degree to which economic entities are exposed to AI-mediated allocation without human intermediate clicking or browsing.
Computational Business Risk (CBR)
CBR — The risk to business continuity and revenue from AI-mediated market dynamics, including exclusion, transmission loss, and algorithmic dependence.
Dynamic Computational Risk (DCR)
DCR — Time-varying risk to economic actors from AI-mediated market dynamics, including algorithm changes, representation decay, and competitive exclusion.
Enterprise Adaptation Velocity (EAV)
EAV — The speed at which organizations can improve representation quality, add verification infrastructure, and increase AI allocability.
Technological Velocity (TV)
TV — The rate of change in AI system capabilities, representation standards, and market infrastructure that affects allocability over time.
Adaptation Velocity (AV)
AV — The rate at which economic entities can improve their AI allocability through representation enhancement, verification infrastructure, and protocol adoption.
Computable Asset (CA)
CA — An economic asset or entity encoded as machine-readable information that AI systems can discover, evaluate, compare, and transact.
Computable Asset Ratio (CAR)
CAR = CA / TA — The proportion of total assets in an economy or portfolio that are computable (machine-readable, verifiable, transaction-capable for AI systems).
National Computability (NC)
NC — The degree to which a national economy has machine-readable, verifiable, and transaction-capable representations across its asset base, institutions, and infrastructure.
Sovereign Adaptation Velocity (SAV)
SAV — The speed at which nations, jurisdictions, or sovereign entities can improve representation infrastructure, verification systems, and AI-readiness across their economic base.
Sovereign Adaptation Gap (SAG)
SAG = TV - SAV — The gap between technological change velocity and sovereign adaptation velocity, creating vulnerability to AI-mediated exclusion.
Monetary Velocity Gap (MVG)
MVG — The reduction in monetary policy effectiveness due to computational transmission gaps, AI-mediated allocation, and sovereign exposure to external AI systems.
Dynamic Monetary Sovereignty Risk (DMSR)
DMSR(j) = f(EAD, CTG, SAG, MPE) — Sovereign risk arising from external AI dependency, computational transmission gaps, adaptation velocity, and monetary policy effectiveness constraints.
AI-Mediated Revenue Share (AMRS)
AMRS = R_AI / (R_AI + R_H) — The proportion of total revenue transacted through AI-mediated channels versus human-mediated channels.
Representation Selection Elasticity (RSE)
RSE — The sensitivity of AI-mediated selection outcomes to changes in representation quality, measured as the change in selection probability per unit change in representation metrics.
Inference Cost per Successful Action (ICSA)
ICSA = TC / SA — The computational cost incurred per successful action or transaction mediated by AI systems.
Computational Revenue at Risk (CRAR)
CRAR — The revenue exposed to loss or reduction due to poor AI allocability, representation gaps, or computational transmission failures.
Representation Return on Investment (R-ROI)
R-ROI = (Gains - Costs) / Representation Investment Costs — The economic return on investment in representation quality improvements for AI-mediated markets.
Cross-Border Computational Reallocation (CBCR)
CBCR — The extent to which AI-mediated allocation redirects economic demand across jurisdictional borders, favoring some regions over others.
Other Layers
Representation Layer
9 primitives
Agent-Readiness Layer
9 primitives
Global Market Layer
4 primitives
Governance Layer
8 primitives
Market Power Layer
6 primitives
Property Record Layer
11 primitives
Trade Infrastructure Layer
5 primitives
Measurement Layer
9 primitives
Discovery Layer
4 primitives
Economics Layer
2 primitives
Action Layer
1 primitives
Interoperability Layer
2 primitives