The Influence of AI on Game Monetization Strategies

Abstract

AI technology is undoubtedly going to change the way games make money. For better or for worse, AI is already reshaping how games keep players engaged and for how long. Using data-driven models, developers can analyze vast amounts of player interactions thanks to AI and in turn dynamic and evolving environments. The importance of the game design community to engage in AI technologies is also highlighted, considering that the data-driven approach remains relatively limited in game designers. By combating this, game design could leverage part of the significant research in AI and ML, which have generated a number of tools and methods for analysis and design tasks, enriched with the public availability of data sources for this purpose. Among the broad implications of AI in games, one of the suggestions is the design of AI hate speech prevention measures, focusing on the unethical and harmful aspects of AI applications to manipulate the player's in-game experience. Another is harnessed the power of AI to create opportunities to reshape the interactions and emotional design primary drives in games, incorporating AI-augmented tools to provide designers with new ways to observe, understand, and modify in-game player behavior, as well as developing rough design guidelines based on these observations. Monetization strategies in games have traditionally relied on different frameworks as oppose to those emergent through the use of AI technologies. Present AI advancements suggest an upcoming shift in the primary and adaptive input parameters such frames. A result of this is the use of AI and ML as new means of creating monetization frameworks in video games, which however poses both ethical and game impartiality questions, hence the scholarly talk within the community.

Keywords AI, game monetization, player engagement, data-driven models, game design, machine learning, ethical considerations, emotional design