China's humanoid robot boom is entering a harder phase. After years of headline-grabbing demonstrations and heavy private funding, companies are being pressed to prove something less theatrical but more consequential: that robots can perform reliable work, generate recurring revenue, and justify their valuations.
Taiwan's optical communications supply chain is entering a more consequential phase of the AI infrastructure cycle. Demand is broadening beyond conventional pluggable transceivers toward continuous-wave (CW) lasers, fiber array units (FAUs), external laser sources and co-packaged optics (CPO), while transmission speeds advance from 800G and 1.6T toward 3.2T and beyond.
The concept of corporate cybersecurity used to begin at the so-called perimeter, with firewalls guarding network entry points, email gateways filtering out suspicious messages, and antivirus software blocking malware. This wall-building mindset at the perimeter worked reasonably well when corporate information systems were relatively closed.
Much of the industry attention surrounding AI infrastructure buildouts is now inextricably tied to sheer compute power, with market dominance or competitiveness defined largely by the highest-performing GPUs or the fastest construction.
Asustek Computer (Asus) has been accelerating the integration of AI, hardware, software, and cloud technologies into healthcare as it builds a next-generation smart healthcare ecosystem. Kuo-Hao Huang, vice president of the Asus AI Research Center, said the biggest challenge hospitals face in adopting AI is not the AI models themselves, but whether their data, workflows, and system architectures are ready.
At an optoelectronics trade expo in China, Hitachi High-Tech used its booth not to unveil a flagship product of its own, but to showcase a growing web of partnerships. This is a strategy the company says reflects both its late entry into the photonics race and its long-term goals in the region.
A rule published in the Federal Register on September 11 pushes US communications supply-chain restrictions past the finished device and into the parts inside it, exposing contract manufacturers, router vendors, and e-commerce platforms to a compliance test that begins 30 days after publication.
The three Taiwanese supply chain categories closest to the physical AI rack — thermal, power supply, and rail kits — booked combined August revenue of NT$121.48 billion (US$3.86 billion), according to monthly filings with the Market Observation Post System (MOPS). The growth rates behind it diverge sharply: rail kits rose 191.2% from a year earlier, thermal 58.4%, and power supply 32.5%. The spread maps where rack-scale deployment is binding.
Jensen Huang used a Goldman Sachs conference appearance to argue that the constraints on AI's build-out are expanding from silicon into finance, and that Nvidia's next unlock is getting its systems recognized as collateral rather than as depreciating equipment. "We're moving Nvidia Compute from technology to an investable asset," the founder and chief executive told the Goldman Sachs Communacopia + Technology Conference, calling it "a huge untapped opportunity" that "at the moment, none of it is being valued."
Oracle has passed the point where its artificial-intelligence infrastructure business is large enough to reshape the company's entire income statement. Revenue for the quarter ended August 31, 2026, rose 30% to US$19.3 billion, the company said on September 10, and every headline growth rate was strong. The more consequential shift sits one line lower, in what it now costs Oracle to deliver that revenue.
Oracle used its fiscal 2027 first-quarter earnings call to recast the question about its AI infrastructure business from whether demand exists to whether it can build fast enough, and to argue the numbers now answer it.
Apple's latest iPhone launch could reshape premium phone demand, but the bigger question is whether the company can answer growing AI competition. While the new foldable iPhone drew the most attention, investors and channel players are watching pricing, repair costs, and Apple's dependence on Google-backed AI more closely.
Breaking from the industry's mainstream reliance on III-V compound semiconductors, Taiwanese startup Taiwan Nano & Micro-Photonics (N&M) is using complementary metal-oxide-semiconductor (CMOS) processes to develop a single chip capable of emitting more than four wavelengths of mid- to far-infrared light.
