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Thomas Davenport and his colleagues explore the transformative impact of artificial intelligence (AI) on marketing strategies and consumer behavior. The authors present a framework for understanding AI's current applications and future potential, considering intelligence levels, task types, and robotic integration. The article highlights AI's effectiveness in predictive analytics and personalization, noting its influence across industries such as transportation, sales, and retail. It also emphasizes critical challenges, including privacy, bias in algorithms, and ethical considerations in AI deployment. Ultimately, the research suggests AI should augment human marketers, enabling businesses to harness its power while maintaining a human-centered approach, and recommends future research into AI adoption, consumer trust, and human-AI collaboration.
By Paul RichardsonThomas Davenport and his colleagues explore the transformative impact of artificial intelligence (AI) on marketing strategies and consumer behavior. The authors present a framework for understanding AI's current applications and future potential, considering intelligence levels, task types, and robotic integration. The article highlights AI's effectiveness in predictive analytics and personalization, noting its influence across industries such as transportation, sales, and retail. It also emphasizes critical challenges, including privacy, bias in algorithms, and ethical considerations in AI deployment. Ultimately, the research suggests AI should augment human marketers, enabling businesses to harness its power while maintaining a human-centered approach, and recommends future research into AI adoption, consumer trust, and human-AI collaboration.