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20 lines
1.5 KiB
TeX
20 lines
1.5 KiB
TeX
\section{Discussion}
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\subsection{Transition to Agentic Market Microstructure}
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Our analysis of the interaction dynamics between the platform and non-human actors suggests that the current static pricing models are insufficient for an agent-mediated economy. If we assume a transition toward a direct revelation mechanism, where actors must reveal their true valuation of a good through bidding dynamics, we inevitably introduce significant stochasticity into the pricing system. Unlike traditional e-commerce where prices are relatively sticky, such a mechanism implies a high volatility characteristic of financial equity markets (without the fungability however).
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However, ecommerce commodities differ fundamentally from financial securities: they possess a hard floor defined by unit economics and reservation prices. The market might react enthusiastically to an iPhone priced at \$1, such a transaction is not permissible. The platform must establish an initial valuation anchor ($P_{0}$) defined by the marginal cost plus a target margin, around which the market price is permitted to fluctuate. We propose the introduction of GenAI Agents as Institutional Market Makers.
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This is also under the assumption of expected transactional capabilities being given to AI Agents.
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\subsection{Risk Assessment and Limitations}
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Acknowledge risks and constraints and data sizes.
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\subsection{Implications of Findings}
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Interpretation of results and altenrative scenarios with broader market implications.
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