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The United States has become the central supplier in a rapidly reorganizing global natural-gas market. A decade ago, the country was preparing to import significant quantities of liquefied natural gas. Today, it is the world’s largest LNG exporter, supplying utilities, industrial companies, and national energy systems across Europe, Asia, Latin America, and the Caribbean. This The post America’s LNG Export Strategy: Energy Security, Geopolitics, and Supply-Chain Risk appeared first on Logistics Viewpoints.

Supply-chain executives face no shortage of technology advice. They are told to adopt artificial intelligence, automate decision-making, modernize legacy systems, build digital twins, improve visibility, connect suppliers, deploy agents, and prepare for autonomous operations. Most of these recommendations are directionally reasonable. Taken together, however, they can create more confusion than clarity. The problem is not The post Technology Strategy, Not Technology Noise: A Practical AI Playbook for Supply Chain Leaders appeared first on Logistics Viewpoints.

Most large companies now operate combinations of enterprise resource planning systems, transportation management systems, warehouse management systems, planning applications, supplier portals, control towers, data platforms, and specialized analytics tools. Yet employees still spend substantial time searching for information, reconciling records, moving data between applications, and coordinating work through email and spreadsheets. Artificial intelligence agents could The post Model Context Protocol and the Future of Agentic Supply Chains appeared first on Logistics Viewpoints.

For the past several years, the artificial intelligence infrastructure market has followed a simple imperative: build as much computing capacity as possible, as quickly as possible. Cloud providers ordered graphics processing units in extraordinary volumes. Technology companies committed billions of dollars to new data centers. Utilities received requests for power loads comparable to those of The post AI Infrastructure Is Entering Its Next Phase appeared first on Logistics Viewpoints.

The next major supply-chain dependency may not involve semiconductors, critical minerals, transportation capacity, or industrial components. It may be embedded inside the artificial intelligence models companies use to build their next generation of operational systems. Open AI models are becoming foundational components of enterprise technology architectures. Companies can download them, customize them, fine-tune them with The post Open Models, Strategic Dependencies: Why AI Sovereignty Is Becoming a Supply Chain Issue appeared first on Logistics Viewpoints.