In-depth explainers on the topics covered every day in DailySand's intelligence briefing — AI infrastructure, semiconductor supply chains, critical minerals, and capital markets. These articles provide the foundational context for understanding the daily news.
Training and running large AI models requires electricity at a scale that is straining grids, reshaping energy markets, and driving demand for copper, cobalt, and rare earth magnets.
How to evaluate investment exposure to gallium, germanium, rare earths, copper, and cobalt as AI infrastructure buildout strains mineral supply chains.
From gallium and germanium to rare earth processing technology — China's export control escalation and what each round means for AI chip supply chains.
TSMC uses over 200 specialized chemicals, gases, and materials to make a single chip. Here's what the most critical inputs are and why their supply chains matter for AI.
Building an AI data center requires copper, cobalt, rare earths, and gallium — not just GPUs. Here's the complete minerals supply chain behind every AI training cluster.
Rare earth elements are inside every AI chip, data center motor, and EV battery. China controls 85% of global supply. Here's what that means for the AI industry.
China controls 80% of global gallium output and 60% of germanium. Here's why those two numbers matter more to the AI chip industry than Nvidia's latest GPU specs.