IBM Research suggests that Large Language Models (LLMs) may not be enough for scalable enterprise AI adoption. They propose Agent Logic as a key component to overcome the limitations of LLMs. Agent Logic enables systems to reason and act in complex environments, making it more suitable for real-world applications. --- Why it matters: This matters because current LLMs struggle with tasks that require multi-step reasoning and decision-making, limiting their adoption in enterprise settings. Agent Logic could provide a solution by enabling AI systems to navigate complex scenarios and make informed decisions. Source: https://huggingface.co/blog/ibm-research/agent-logic-and-scalable-ai-adoption