Three converging events reveal a single crisis: our strategic frameworks for managing complexity are failing just as AI systems become too opaque to govern. A five-part essay series exploring solutions launches next week.

RAG enhances large language models by connecting them to external, up-to-date data sources, improving accuracy, reducing hallucinations, and enabling cost-effective, domain-specific AI applications without requiring expensive model retraining.

Trump's Genesis Mission leverages National Laboratories, supercomputers, and federal datasets to accelerate AI-driven scientific discovery. Twenty-four organizations including Anthropic and OpenAI joined. The initiative aims to compress research timelines while maintaining US leadership against China's growing R&D capabilities.

Supply chains must evolve from digitalization to AI-powered orchestration for proactive decision-making. Enterra Solutions' System of Intelligence enables autonomous optimization across planning, execution, and learning, representing supply chain management's future.

Agentic commerce—AI agents making purchases for consumers—could generate $1-5 trillion by 2030. Though 95% of consumers harbor concerns, retailers must invest immediately in agentic capabilities or risk disintermediation.