As AI data centers scale rapidly, Eaton is expanding beyond traditional power management into modular power deployment, next-generation DC conversion and liquid cooling, positioning itself to address infrastructure requirements from the electrical grid to AI chips.

Wah Lee Industrial expects growth to accelerate in 2027 as advanced packaging capacity comes online and foundries continue building overseas fabs, while tight supplies of semiconductor materials and manufacturing equipment are likely to keep pricing elevated.

Revenue rose at every Chinese chip company examined in the first half of 2026 amid the domestic-substitution push, but the interim filings show three quite different businesses hiding under one label. One has reached real scale and is now funding its expansion from the balance sheet rather than from operations. One is repairing its margins on a genuinely homegrown instruction set at a fraction of the scale. And the cohort’s most spectacular profit number is not a processor story at all.

As the world’s most powerful enterprise data centers undergo a massive migration to liquid cooling to support high-power artificial intelligence processors, a Silicon Valley chipmaker is warning of a growing class of “thermal orphans”—localized, low-power components that are left out in the cold.

JCET Group is preparing a CNY6.5 billion (approx. US$968 million) private share placement to expand advanced packaging and testing capacity across high-performance computing (HPC), power modules, wafer-level packaging and memory, sharpening its exposure to AI infrastructure and China’s domestic semiconductor supply chain.

AI-driven automation is reshaping the cybersecurity requirements of semiconductor manufacturing, with zero-trust architecture, trusted data, and interoperable standards becoming increasingly important as fabs move toward more autonomous operations.