LLMs and the Curse of the Word Count (butteredtoast.io)

Recent trends in AI-driven document creation are challenging traditional marketing practices as large language models (LLMs) like Claude enable users to produce lengthy, detailed documents in mere seconds. This shift has led to an inundation of lengthy documents that can be misleading; their length no longer necessarily reflects the effort or value behind them. The burden of digesting this information has shifted to human readers who are still held to their cognitive limits. As a result, many employees resort to using LLMs again to summarize these lengthy briefs, effectively creating a cycle where AIs generate and read documents with minimal human engagement. This phenomenon raises important implications for the marketing and AI/ML community. The historical connection between document length, perceived effort, and value is eroding, making effective communication and concise writing critical skills. The article suggests that marketers should prioritize clarity and brevity, producing succinct summaries that convey key points at the top of documents for busy professionals while still providing detailed versions for reference. Emphasizing the need to respect human attention span, this guidance encourages a more thoughtful approach to documentation in an AI-dominated landscape.