In her keynote, Laura Martin, CFA & CMT, Needham and Company, presented her, “View from Wall Street.” She was focused on how KPI’s/metrics are turned into money and followed 17 companies, such as Facebook, Apple, Amazon, Netflix and Google. Laura pointed out, for example, that growth in reach of ad-supported services is outpacing that of non-ad supported services, that Wall Street always prefers multiple revenue streams and these insights regarding the impact of the pandemic:
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Generative AI is changing how advertising creative is developed—but not by replacing human creativity. Drawing on interviews with industry leaders and a broad review of emerging research, this ARF Creative Council white paper examines how AI is being used across the creative process, from briefing and ideation to personalization and optimization. It explores where AI delivers the greatest value today, the risks organizations continue to navigate and why human judgment remains central to producing distinctive, effective advertising.
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In her keynote, Laura Martin, CFA & CMT, Needham and Company, presented her, “View from Wall Street.” She was focused on how KPI’s/metrics are turned into money and followed 17 companies, such as Facebook, Apple, Amazon, Netflix and Google. Laura pointed out, for example, that growth in reach of ad-supported services is outpacing that of non-ad supported services, that Wall Street always prefers multiple revenue streams and these insights regarding the impact of the pandemic:
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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