As generative search and agentic AI transform how consumers discover, evaluate and purchase products, traditional identity resolution and attribution systems are struggling to keep pace. This new paper by the Identity Resolution Working Group of the ARF Cross-Platform Measurement Council, introduces the concept of “Delegated Identity”—a framework designed to reconnect human intent with AI-driven actions in an increasingly AI-mediated marketplace. The report explores the emerging identity gap, evaluates industry readiness and outlines the challenges and opportunities facing marketers, identity providers and AI platforms.
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Artificial intelligence is becoming deeply embedded in advertising and marketing, but adoption alone is no longer the story. In this guest article for The Advertising Club of New York, ARF Senior Director of Research & Insights Tracy Adams examines findings from the ARF's latest AI research, which reveals that while organizations are increasingly confident in AI-generated outputs, many are still developing the testing, governance and measurement practices needed to ensure those outputs deliver meaningful business value.
Generative AI tools are not just recommending products—they are shaping how consumers perceive them. This latest issue in the Psychology of Gen AI series, the third phase of the seventh study on AI product recommendations, examines how small changes in prompt wording alter the explanations AI systems generate around the same brand. Using ChatGPT descriptions of Arm & Hammer Advance White toothpaste across multiple, shopping-related prompts, the study reveals how AI recommendations construct different product narratives, emphasize different benefits and even introduce different caveats depending on the consumer’s wording of their question.
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As brands increasingly use AI-generated people in advertising, a new MSI Working Paper explores how consumers respond when those synthetic models are used to increase racial representation. Across multiple experiments, the research finds that disclosure of AI-generated Black models can reduce brand evaluations by weakening perceptions of authenticity and commitment to diversity initiatives, while similar effects do not emerge for White models. The findings offer important guidance for marketers seeking to balance technological innovation with meaningful representation.
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