Don't be fooled–LLMs don't reason

The article argues that large language models are powerful pattern completers, but they do not truly reason in the way enterprises need for high-stakes decisions. For CIOs and technology leaders, the strategic implication is that AI deployments based purely on chatbot-style generation may improve productivity but remain risky for mission-critical use cases because they lack transparent, inspectable reasoning and reliable provenance of how conclusions are reached. The piece suggests future competitive advantage will come from AI systems that combine fluency with explicit, auditable reasoning structures, especially in domains like medicine, engineering, and scientific research.