You can't learn influence from a book (and neither can ChatGPT) (togetherlondon.com)

A recent discussion highlighted the limitations of AI models like ChatGPT in understanding and applying the concept of influence, underscoring that these systems lack the experiential learning gained through interpersonal interactions. Unlike humans, who develop nuanced social skills and influence through lived experiences, AI models are trained on vast datasets lacking the subtlety needed for genuine persuasion or social influence. This gap raises critical questions about the practical applications of AI in fields where influence is pivotal, such as marketing, negotiation, and leadership. The significance of this insight lies in the ongoing development and deployment of AI technologies in human-centric roles. As organizations increasingly rely on AI for decision-making and communication, understanding these limitations is crucial. It suggests a need for further advancements in AI training methodologies that encompass experiential learning frameworks or alternative models that simulate social interactions. Addressing these challenges could lead to more sophisticated AI systems capable of meaningful influence, aligning them closer to human-like capabilities in social contexts.