Attention is all you need: An analysis of the valuation of artificial intelligence tokens

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Abstract

This study discusses the parameters that define the value of artificial intelligence (AI) tokens based on user interaction, their pricing mechanism, and their correlation with the predicted value thus evaluating AI token valuation based on user engagement, pricing, and website visits. This study tests hypotheses that examine the factors that influence the value of AI tokens. Using data from ten AI tokens, the study employs correlation and regression analyses to examine these relationships. The results show that monthly active users (MAU) and website visits significantly predict valuation, while pricing shows a marginal effect. This research provides insights for stakeholders in understanding economic factors affecting AI token values, emphasizing user engagement and pricing strategies.

Keywords: AI Tokens, Valuation, Monthly Active Users (MAU), Pricing, User Engagement, Website Visits, Regression Analysis

Authors’ individual contribution: The Author is responsible for all the contributions to the paper according to CRediT (Contributor Roles Taxonomy) standards.

Declaration of conflicting interests: The Author declares that there is no conflict of interest.

JEL Classification: M41, O33, C63

Received: 08.07.2024
Accepted: 14.10.2024
Published online: 17.10.2024

How to cite this paper: Akpan, M. (2024). Attention is all you need: An analysis of the valuation of artificial intelligence tokens [Special issue]. Corporate Ownership & Control, 21(3), 109–115. https://doi.org/10.22495/cocv21i3siart9