A new study uncovers how advertising agencies are attempting to integrate generative AI into their creative workflows, and the repercussions of that process. Based on interviews and field data, the research presents a four-phase model—readiness, co-creativity, validation and execution. Although the study reveals certain anxieties surrounding this integration, in the end both human and AI elements together are required to boost and enliven the creative process.
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On May 21, the industry’s top minds gathered in Chicago for a look at the future of retail, media, and consumer behavior and dove into the rapidly evolving role of Retail Media Networks (RMNs). Attendees gained actionable insights on the opportunities and challenges that RMNs present. Leading experts led discussions on optimizing RMN investments, navigating sales attribution complexities, adopting an "omni-normal" approach to connect with shoppers across all touchpoints, harnessing AI for brands and consumers, and more.
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This report offers an abridged version of the cumulative 2025 AI handbook, exploring the benefits, limitations and dangers of generative AI models when employed in various tasks associated with marketing and advertising research. This report sums up the insights from several experiments where ARF researchers tested AI's capabilities in survey design, sentiment analysis, coding open-ended responses, language translation and addressing AI risks.
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