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.

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.

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.

China has introduced what it says is the world's first medical-device standard for brain-computer interfaces (BCIs) that use AI to process electroencephalogram (EEG) data, marking a step toward tighter regulation and commercialization of the emerging technology.