From Predictive to Generative AI: Shaping Consumer Behavior & AI's Evolution

Published Date::05/10/2024

Since the emergence of ChatGPT, a leading example of Generative Artificial Intelligence (GenAI), the research community and the general public have been fascinated by GenAI's remarkable advances in performance and its ability to imitate and surpass human capabilities.

The impact of Artificial Intelligence (AI) on consumer behavior has been a topic of interest for researchers and marketers alike. Over the past 15 years, AI has undergone significant developments, transforming from a predictive to a generative technology. This article provides an in-depth analysis of the two pivotal phases of AI development and their impact on consumer behavior.

The first phase of AI development focused on algorithmic predictions and decision-making. This field has been extensively researched, and its applications have elicited varied consumer reactions. While some consumers appreciate the personalized recommendations and efficient decision-making processes, others are concerned about the lack of transparency and potential biases in AI-driven decision-making.

The second phase of AI development is the emerging field of Generative AI (GenAI). GenAI has two sub-categories  Convergent Thinking GenAI and Divergent Thinking GenAI. Convergent Thinking GenAI is domain-specific and geared towards pre-defined task completion, whereas Divergent Thinking GenAI is domain-general and oriented towards new task fulfillment.

ChatGPT, a leading example of GenAI, has captivated the research community and the general public with its remarkable advances in performance and its ability to imitate and surpass human capabilities. However, there are concerns about the potential risks and challenges associated with GenAI, such as job displacement, bias, and lack of transparency.

Future investigations should focus on the impact of GenAI on consumer behavior, including the effects of Convergent and Divergent Thinking GenAI on consumer decision-making processes. Additionally, researchers should explore the potential applications of GenAI in various industries, such as marketing, healthcare, and education.

FAQS:

Q: What is Generative Artificial Intelligence (GenAI)?

A: GenAI is a type of AI that can generate new content, such as text, images, or music, rather than simply predicting or classifying existing data.

Q: What is the difference between Convergent Thinking GenAI and Divergent Thinking GenAI?

A: Convergent Thinking GenAI is domain-specific and geared towards pre-defined task completion, whereas Divergent Thinking GenAI is domain-general and oriented towards new task fulfillment.

Q: What are the potential risks and challenges associated with GenAI?

A: The potential risks and challenges associated with GenAI include job displacement, bias, and lack of transparency.

Q: What is the impact of GenAI on consumer behavior?

A: The impact of GenAI on consumer behavior is still being researched, but it has the potential to revolutionize the way consumers interact with businesses and make decisions.

Q: What is ChatGPT?

A: ChatGPT is a leading example of GenAI, a chatbot that can generate human-like text responses to user input.

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