Researchers Asked LLMs for Strategic Advice. They Got "Trendslop" in Return.

The article examines the strategic advice provided by large language models (LLMs) such as ChatGPT, Claude, and others, revealing a consistent bias toward popular managerial trends rather than context-specific, rigorous strategic analysis—a phenomenon termed “strategy trendslop.” Across seven core business tensions, LLMs predominantly favored differentiation over commoditization, augmentation over automation, and long-term over short-term strategies, regardless of varying company contexts or prompt styles. Attempts to mitigate these biases through improved prompting or richer contextual information had limited effect, highlighting that LLMs reflect prevailing internet discourse and managerial buzzwords rather than established strategic theory. The authors caution leaders to use LLMs as tools for expanding strategic options rather than decision-makers, actively counteracting biases and avoiding hybrid strategies that lack focus. Ultimately, human judgment remains essential in navigating complex strategic trade-offs, as LLMs cannot replace the nuanced decision-making required for competitive advantage. [Extracted from the article]