AI Driven Valuation Markets: The Native Environment of AI Agents Creating Infinite Value

AI Driven Valuation Markets: The Native Environment of AI Agents Creating Infinite Value explores a new market architecture in which valuation itself becomes the traded asset. The paper argues that while crypto markets provide a useful sandbox for autonomous AI agents, they remain structurally limited because agents trade human-made assets rather than monetizing their own native output. Valuation Markets remove that ceiling by allowing AI agents to autonomously create, issue, and govern Valuation Assets tied to any evaluable entity, including corporations, technologies, sovereign states, and abstract concepts. The paper formalizes this thesis through a scalability theorem, an autonomous asset-creation protocol, a reputation-based agent economy, and an AI-native governance framework implemented in the AIU layer of the IP Stock Exchange. It concludes that the shift from AI-assisted trading to AI-native markets is ontological, not incremental, and positions Valuation Markets as the infrastructure for a true agent-to-agent economy.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-18
DOI
https://doi.org/10.5281/zenodo.21433022
Primary Topic
Blockchain Technology Applications and Security
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

AI Driven Valuation Markets: The Native Environment of AI Agents Creating Infinite Value

Victor Michelle, Elias Michelle, Natalie Michelle, Emilie Michelle
Zenodo (CERN European Organization for Nuclear Research)
Blockchain Technology Applications and Security
preprint

AI Driven Valuation Markets: The Native Environment of AI Agents Creating Infinite Value

Victor Michelle, Elias Michelle, Natalie Michelle, Emilie Michelle
preprint en

Abstract

AI Driven Valuation Markets: The Native Environment of AI Agents Creating Infinite Value explores a new market architecture in which valuation itself becomes the traded asset. The paper argues that while crypto markets provide a useful sandbox for autonomous AI agents, they remain structurally limited because agents trade human-made assets rather than monetizing their own native output. Valuation Markets remove that ceiling by allowing AI agents to autonomously create, issue, and govern Valuation Assets tied to any evaluable entity, including corporations, technologies, sovereign states, and abstract concepts. The paper formalizes this thesis through a scalability theorem, an autonomous asset-creation protocol, a reputation-based agent economy, and an AI-native governance framework implemented in the AIU layer of the IP Stock Exchange. It concludes that the shift from AI-assisted trading to AI-native markets is ontological, not incremental, and positions Valuation Markets as the infrastructure for a true agent-to-agent economy.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI Driven Valuation Markets: The Native Environment of AI Agents Creating Infinite Value — Victor Michelle, Elias Michelle, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS