Taiwan Semiconductor Manufacturing Company (TSMC) chairman C.C. Wei and co-chief operating officer Y.J. Mii participated in the "Cross-Generational Dialogue: Questions and Answers for the AI Era" forum on September 15. Students asked how TSMC determines whether a technology is worth long-term investment when information is incomplete and the technological direction remains unclear, as well as how people can develop the ability to judge whether answers generated by artificial intelligence (AI) are true or false in the AI era.

South Korea's neural processing unit (NPU) startups are moving from chip development toward commercial deployment, but limited experience operating at scale remains a major hurdle to winning global customers.

The Industrial Technology Research Institute (ITRI) held its ITRI Innovation Day on September 15 in Tainan, Taiwan, bringing together research groups and startup teams to highlight 25 cross-disciplinary technologies in AI, smart robotics, and unmanned vehicles. The event was designed to move more research and development results into industrial use through demonstrations, business matchmaking, and an innovation market.

DeepSeek is reportedly set to hire Wentao Yan, a partner at venture capital firm GL Ventures, as its first CFO. If the appointment takes place, it would happen at an important time for the Chinese AI startup as it seeks to go public, begins a large expansion of its workforce, and invests in chipmaking and computing capacity.

At SEMICON Taiwan 2026, Google outlined the direction of its AI infrastructure, and DIGITIMES notes that the discussion extended well beyond its next-generation TPU. Rather than focusing on a single chip, Google described how it links large numbers of TPUs into an integrated computing system spanning compute clusters, data centers, and ultimately multiple data centers, while also addressing the power constraints that emerge as the system continues to scale.

Anthropic CEO Dario Amodei's call to slow frontier AI development has stirred debate over safety, but chip industry sources say global demand for AI infrastructure is likely to keep rising. For readers worldwide, the larger issue is not whether AI spending stops, but how quickly it spreads across clouds, devices, and industries.

South Korea is updating its artificial intelligence security guidance as companies deploy AI agents capable of operating with limited human supervision, while Microsoft is proposing model-level rules requiring its systems to remain subject to human interruption and shutdown.

China's humanoid robot industry is moving from prototypes to industrial production. The next test is no longer whether robots can be built at scale, but whether they can work reliably and cheaply enough to make that scale economically viable.

Taiwan's original equipment manufacturer/electronics manufacturing services (OEM/EMS) sector is witnessing a structural split between explosive demand for artificial intelligence (AI) infrastructure and softening demand for legacy consumer device assembly in 2026. Monthly revenue data highlight how suppliers anchored to high-density compute racks, GPU-based servers, and high-speed network switches are delivering massive year-over-year gains, whereas manufacturers more reliant on standard notebooks face component supply bottlenecks.

At this year's China International Optoelectronic Expo (CIOE), Sivers Semiconductor brought two products to its booth that trace the trajectory of the optical networking industry: a 1.6T pluggable optical transceiver currently ramping toward mainstream adoption, and a prototype module built for external light source (ELS) architectures, a technology that could define the next generation of data center interconnects.

Panasonic Energy, the battery unit of Panasonic Holdings, is betting big on energy storage for AI data centers as demand for backup batteries from AI data centers surges. The company said it will keep energy storage systems (ESS) as a core growth driver and flex investment plans to match market demand.

As US AI executives warn that artificial intelligence development may need to slow down, Chinese companies are pressing ahead with open source tools and large-scale deployment. The gap matters far beyond China, because the next phase of AI competition may be shaped as much by collaboration and standards as by chips and model size.

OpenAI has acquired Glass Imaging, a startup developing artificial-intelligence (AI) technology designed to improve smartphone camera performance, in a deal valued at more than US$300 million, according to The Wall Street Journal. The acquisition adds imaging expertise to OpenAI as it expands beyond software and into consumer hardware.