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Jan 16
Foxconn holds the hardware keys to Apple's AI strategy
As Apple brings the Gemini model into the core architecture of Apple Intelligence, market focus has shifted to how this move will reshape the company's hardware investment strategy. Apple's hybrid AI framework—built on on-device processing, private cloud infrastructure, and selective external support—signals sustained growth in both computing capacity and end-device demand. Hardware requirements are set to rise, not decline.
Following the conclusion of the Taiwan-US tariff framework, industry attention centers on how Foxconn (Hon Hai Precision), a leading electronics manufacturer, will recalibrate its operations and strategy. Despite Foxconn's lack of an official statement, experts note that the company typically maintains a cautious stance on major trade policy changes, awaiting comprehensive details and execution guidelines before announcing its corporate responses.
The recent US-Taiwan tariff agreement has minimal effect on servers' original design manufacturers (ODMs), as server products were excluded from both previous reciprocal tariffs and the semiconductor-related Section 232 tariffs. Industry insiders say that rather than tariffs, customer preferences drive production decisions, with most companies now manufacturing in the US primarily to meet customer requirements.
The global AI boom is pushing electronics supply chains to their limits. While shortages of advanced chips and memory have drawn most attention, a less visible constraint is emerging: high-end electronic-grade glass fiber cloth, a core reinforcement material used in chip substrates and printed circuit boards (PCBs).
Quanta rushing to hire and expand as AI server demand holds strong
Jan 19, 14:09
Server ODM Quanta Computer is aggressively expanding production, with the expectation that capacity will double again by the end of 2026. Quanta's Executive Vice President and Quanta Cloud Technology (QCT) General Manager Mike Yang said that not only will manufacturing capacity increase, but the engineering staff responsible for R&D will also expand from nearly 3,000 people to an additional 500-800 employees.
Apple and Google have entered an AI technology partnership reportedly worth as much as US$5 billion, according to industry sources cited by the Financial Times. Meanwhile, Bloomberg reported that Apple may pay roughly US$1 billion annually to use a customized Gemini model developed by Google, which runs on Apple's own servers to maintain user privacy.
The escalating global energy transition and intensifying industrial rivalry have elevated power infrastructure security to a national defense-level strategic concern, with a focus on energy transmission efficiency rather than mere generation capacity. Experts warn that bottlenecks in ultra-high-voltage (UHV) transmission, particularly in 345 kV cables, are now decisive factors shaping industrial competitiveness and the global digital economy landscape.
Industry speculation about collaboration between optics manufacturers and semiconductor companies to bolster their silicon photonics (SiPh) capabilities is gaining ground. Following Largan Technology chairman Enping Lin's comments during a recent earnings call, Asia Optical chairman I-Jen Lai confirmed that Asia Optical is also a potential participant in this trend.
OpenAI said it would partner with the artificial intelligence chip maker Cerebras to build 750 megawatts of ultra-low-latency AI computing capacity, a project that will come online in phases starting in 2026. Construction is expected to begin this year and continue through 2028.
Wistron posted a record-high consolidated revenue of NT$2.19 trillion (approx. US$67.63 billion) for full-year 2025, according to its unaudited financial results announced on January 16. The company reported gross profit of NT$134.02 billion for 2025, while operating profit came in at NT$78.56 billion, income before tax totaled NT$76.26 billion, and net income after tax reached NT$27.401 billion.
Acer and Lenovo are optimistic about India's consumer electronics sector as the global market slows due to rising memory prices.
As demand strengthens in markets such as GPUs and high-bandwidth memory (HBM), Japan-based Advantest said orders for semiconductor automated test equipment (ATE) remain stable, with average product lead times exceeding six months. The company expects that once the newly expanded assembly capacity is fully in place in 2026, order backlogs will be further alleviated.