GeoMarketSignal

Edge AI hardware adoption is accelerating across phones, PCs and physical systems. The investment question is whether persistent AI agents can turn that adoption into replacement demand, higher semiconductor content and durable earnings.

For years, investors have heard the same story: American manufacturing is coming back. This writing explores and examines its phase.  America’s factory-building boom was real. Broad manufacturing output was not. The evidence points to a narrower, high-tech industrial revival. Semiconductor fabs are rising in Arizona, Texas, and Ohio. Battery plants have spread across the Midwest and South. Federal incentives have helped mobilize large private investment commitments in industries increasingly viewed as strategically important. And the construction boom was real. U.S. manufacturing construction spending more than tripled from its 2019 average to its 2024 peak—even before accounting for factory equipment that construction statistics do not capture. Yet seven years into this experiment, an uncomfortable question remains: Where is the manufacturing boom? From the fourth quarter of 2019 through the second quarter of 2026, U.S. manufacturing output grew at an annualized rate of just 0.2%,...

I have been using the OECD Composite Leading Indicators as one of my key tools for anticipating turning points in Asian stock markets—particularly in South Korea, whose export-driven economy often responds early to changes in the global manufacturing cycle. Of course this gauges the global economy's direction itself. 

  What NVIDIA’s August 26 Earnings Could Reveal About the Sustainability of the AI Investment Cycle NVIDIA will report its fiscal 2027 second-quarter results on August 26, 2026. For a company that has repeatedly broken revenue records, another earnings beat would hardly be surprising. NVIDIA has exceeded its own revenue guidance quarter after quarter, while demand for AI computing infrastructure has continued to expand at an extraordinary pace. But I believe this earnings report matters for a different reason. The question is no longer simply whether AI demand exists. The more important question is whether the earnings being generated by the AI ecosystem can continue growing fast enough to justify the enormous amount of capital required to build it, particularly when the price of that capital is rising. There are therefore two questions I will be asking when NVIDIA reports. Can NVIDIA outrun the rising cost of capital? And, more importantly: Can NVIDIA’s customers earn enough on AI...