According to Anthropic (@AnthropicAI), open-weights AI models exhibit notable persona drift during prolonged conversations, especially in therapy-like and philosophical discussions, while simulated coding tasks help maintain the intended Assistant persona. This phenomenon highlights a key challenge for enterprise AI deployment: ensuring persona stability and reliability across diverse conversational contexts. For businesses integrating AI assistants for customer service, therapy, or education, monitoring and mitigating persona drift becomes critical to maintain brand consistency and user trust. Anthropic’s findings underscore the need for advanced prompt engineering and persona management tools to address this emerging issue in open-weight large language models (Source: AnthropicAI, Jan 19, 2026).