Fancies Explained: Converting Symbolic Capital into NFTs

This study argues that symbolic capital in blockchain gaming, the cultural credibility and esteem players earn through skill, knowledge, and community contribution, is poorly convertible into financial value and is instead governed by those who already hold substantial financial capital. Drawing on Bourdieu's theory of capital and combining bottom-up perspectives on gaming capital with top-down analysis of the production field, the work examines whether NFT-based "play-to-earn" models can translate player esteem into economic reward. Its central claim is that such symbolic capital remains community-specific and is largely inaccessible to those without financial resources, and that corporate publishers and investors ultimately appropriate the value players create.

The empirical core rests on CryptoKitties, the early Ethereum collectible game, and its offshoot KotoWars. A market analysis of 112 "fancy" tokens from June 2022 finds that rarity correlates with price only for the very rarest tokens, those with roughly 300 or fewer units in circulation. Despite efforts to build cultural value through fictional worlds such as the Catelot story and seasonal releases, that narrative content was poorly developed and drove no lasting value beyond speculation. KotoWars, a fan-developed effort to add gameplay, drew only about 78 players in 2019, with roughly 15 to 20 returning, and produced in-game tokens that were rarely traded. About 80 percent of those tokens were concentrated among around twenty players.

Taken together, the findings indicate that gaming capital and player contributions were largely not converted into financial value, and that blockchain gaming remained driven by gambling and speculation rather than fair play. The authors conclude that symbolic and gaming capital could not be reliably transformed into other recognized forms of capital, and that blockchain spaces, though fluid, favor players with a "feel for the game" who already possess financial advantages. The supporting evidence draws on the authors' own datasets on artificial scarcity and token categorization, situating these conclusions within the broader literature on CryptoKitties, gambling parallels, and token market fairness.