Generative AI in digital advertising

Abstract

Generative Artificial Intelligence has become a game-changer across many industries, and the digital advertising sector is no different. In this regard, the thesis focuses on the revolutionary role of Generative AI in the digital advertising sector, covering its capabilities, applications, and implications.

This research provides an in-depth and thorough study of how Generative AI strengthens the process of ad creation, targeting, and delivery through literature review method. By enabling the generation of highly customized ads, AI allows marketers to reach out to and engage with individually segmented consumers in the market, thus significantly improving both their engagement rates and conversion outcomes. In addition, Generative AI will allow the analysis of a massive amount of data to achieve real-time optimization of the ad campaign for maximum results and return on investment.

The paper would also discuss the issues that digital advertising would face with the integration of Generative AI, such as ethical concerns, data privacy, and chances of generating misleading or harmful information

Furthermore, the research covers future trends and potential developments in the area of Generative AI, with ongoing advancements shaping the digital ad landscape. The outcomes will make a point regarding the need for regulatory frameworks and industry standards in order for Generative AI to be applied in a responsible way.