GroupM’s New Study Discloses Ground Breaking Numbers of Revenue Growth In AI-Enabled Advertising By 2032

GroupM’s new study titled, The Next 10: Artificial Intelligence, predicts the future of the next decade of AI in advertising. It deliberately explores the technology and its behaviors and how it will shape the next ten years of advertising and generate revenue. In their new study, The Next 10, GroupM has published forecasts about the size of Artificial Intelligence in advertising. The study clearly estimates that this year AI-enabled advertising will reach more than $370 billion and by 2030 it is likely to reach $1.3 trillion and generate more than 90% of the total ad revenue.

The whole study is a vast and thoroughly researched report about the future of AI in advertising. It examines how the overall media landscape and consumer behavior will change and shape the upcoming decade. With the extensive adoption of technology, Artificial Intelligence, and wireless connectivity the global media landscape will change drastically by 2032. 

It explores the current and future importance of AI in advertising and also covers how AI will change consumer experiences, why AI-enabled advertising and personalization matter, and the emerging implications for marketers such as responsible and ethical AI. The study suggests that AI-enabled advertising accounts for nearly half of all the advertising revenue which is more than US$300 billion.

The Next 10, study appropriately covers how enabling AI with other forms of media such as TV, Audio, Retail Media, Digital Media, etc., will impact these sectors individually. It also focuses on the importance of personalization in AI-enabled advertising. By 2032, consumers will expect more personalized, non-interruptive, and relevant messages. The more a brand will be able to personalize messages the more consideration, customer attention, and loyalty they will be able to earn. 

This is not all, the report also raises very important questions regarding Ethical and responsible AI. It raises questions from how to protect at-risk consumers to the weaponization of AI in advertising tools to the way disclosures of utilizing AI in advertising should work.