Recent insights suggest that the training methodologies of large language models (LLMs) limit their understanding of human language to a narrow range of written content, leaving out the rich context of unscripted conversations that dominate human interactions. This reliance on scripted text, from textbooks to media scripts, raises concerns about the authenticity of AI-generated content and its influence on human communication. As LLMs become more integrated into everyday tasks, there is a risk that individuals may subconsciously adopt the linguistic patterns and styles propagated by these models, which could lead to a homogenization of language and communication styles.
For businesses, this shift has practical implications, particularly in customer engagement and marketing strategies. Companies leveraging LLMs for customer service or content creation must be mindful of the potential disconnect between AI-generated language and natural human speech. As AI-generated interactions become more prevalent, organizations should strive to maintain a balance, ensuring that AI complements rather than dictates human communication. This evolution in language dynamics emphasizes the need for cybersecurity measures to address potential misinformation or miscommunication stemming from AI interactions, thereby reinforcing the importance of ethical AI practices in fostering trust and transparency in communication.
---
*Originally reported by [Schneier on Security](https://www.schneier.com/blog/archives/2026/07/the-language-of-ai-could-change-how-humans-speak.html)*