Prompt Politeness Affects LLM Accuracy (2025)

Research demonstrates that impolite and direct prompts to ChatGPT 4o yield 4% higher accuracy (84.8%) compared to overly polite prompts (80.8%), challenging assumptions about appropriate human-AI interaction and suggesting that LLM performance is sensitive to pragmatic prompt engineering. This finding has significant implications for IT organizations deploying LLMs in enterprise settings, as it indicates that standardized prompt guidelines and user training should prioritize clarity and directness over politeness conventions. Organizations must recalibrate their LLM governance policies and employee training programs to optimize AI system performance while managing the counterintuitive social dynamics of human-AI collaboration.