Fortune assembled roughly 100 CEOs who focused on identifying the challenges and opportunities that businesses face in the year ahead. The topmost challenge: the battle for talent. The top opportunity? A chance to reinvent. Read more »
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After conducting eight studies over the past year, what has the ARF learned about the psychology of generative AI? Across experiments examining bias, identity cues, product recommendations, executive decision-making and AI-assisted research, four patterns repeatedly emerged: GenAI tends to compress human variability into dominant responses, subtle differences in prompting can meaningfully change outputs, different models bring their own constraints and tendencies and AI can imitate the language of expertise more readily than it can exercise expert judgment. Taken together, the studies suggest that GenAI’s greatest strength and its greatest risk may be the same: its ability to produce coherent, convincing answers can make compression, instability and missing judgment difficult to see.
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Fortune assembled roughly 100 CEOs who focused on identifying the challenges and opportunities that businesses face in the year ahead. The topmost challenge: the battle for talent. The top opportunity? A chance to reinvent. Read more »
Member Only Access
Artificial intelligence has rapidly become part of the everyday marketing toolkit, transforming everything from creative development and campaign measurement to analytics and customer engagement. Drawing on two nationwide surveys of more than 200 U.S. advertisers and agencies, this new ARF study explores where AI adoption stands today, which tools marketers rely on most, how organizations are validating AI outputs and the governance practices emerging as AI becomes central to marketing operations.
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