Here at theCUBE Research, we are committed to keeping you informed about the latest developments shaping AI's future while sorting through what is hype, myth, and truth.  As first reported here in September 2024 in a research note, Open AI Advances AI Reasoning, but the Journey Has Only Begun, even the advancement of Chain-of-Thought (CoT) won’t make LLMs capable of thinking or reasoning. With all the noise in the marketplace around “AI Agents that can plan, reason, and make decisions”, we believe it’s crucial that business leaders cut through the hype and understand that AI agents built upon LLMs alone will NOT deliver on this promise. Apple Computer’s recent research paper, The Illusion of Thinking, drives this reality home again, contributing a rapidly expanding understanding of this simple truth. The good news?  With the democratization of advanced AI techniques, we can now build AI agents that can mimic human reasoning to help people make better decisions, solve problems, and create goal-oriented plans. However, this will not be achieved by LLMs alone. LLMs will need to be complemented by specialized, domain-specific AI models that will provide a progressive degree of semantic and causal reasoning. The future of AI reasoning is, in truth, closer than most realize. In this research brief, we will explore the new Apple findings and revisit the core premise of our past research note on this subject.