South Korea's National Pension Service (NPS) has drawn fresh attention after joining a cornerstone investment in the Hong Kong IPO of Chinese optical communications maker Zhongji Innolight. The investment came at a time when the company had already been placed on the US Department of Defense's list of Chinese Military Companies (CMC). The case has reignited debate over how large public pension funds assess geopolitical and regulatory risk. Money Today reported that the move comes as US-China tech competition extends beyond chips, equipment, and supply-chain controls into global capital markets.
China's humanoid robot industry is entering a larger real-world test of AI, mobility and performance, with 2,056 robots set to compete in Beijing as domestic makers including Unitree Robotics accelerate development of faster and more capable machines.
Taiwan is looking to Pittsburgh for lessons from Pittsburgh's transformation into an AI and robotics hub as it develops technology clusters in southern Taiwan, with National Science and Technology Council (NSTC) Minister Wu Cheng-wen leading a delegation to the Pennsylvania city on August 13-14.
Data analytics firm Dun & Bradstreet released its "Taiwan Enterprise AI Momentum Index" for the third quarter of 2026, revealing that AI investments by Taiwanese companies are transitioning from experimental pilots to performance validation. However, the data foundation of over half of these enterprises still falls short of the threshold required for large-scale AI deployment. Consequently, data quality, data governance, and overall data readiness will serve as the pivotal focus for expanding future AI applications.
Concerns over whether the AI surge is a bubble continue to linger. However, recent indicators—from Nvidia's latest capital initiatives and TSMC Chairman C.C. Wei's assessment of major cloud service provider (CSP) demand, to record capex from US CSPs and surging orders across downstream players like Asus, Gigabyte, and Supermicro—all demonstrate that AI demand is flowing steadily from upstream silicon to servers and data centers, driving concrete gains in revenue, profits, and backlogs.
Samsung Electronics has begun operating a dedicated physical AI research lab focused on humanoid control and manipulation, according to South Korean news outlet Edaily. The move extends its robotics push from hardware investment into the AI and control technologies needed for robots to operate in real-world environments.
India is moving into the next phase of its electronics manufacturing strategy, using its progress in downstream assembly as a base to build domestic capabilities in components, materials, and manufacturing equipment.
Taiwan's National Science and Technology Council (NSTC) is preparing the second-phase quantum research program, known as the "Quantum Leap Project," for 2027 to 2031, while a Request for Proposal for the National Center for High-Performance Computing's (NCHC) quantum computing (QC) host is expected soon. The move has raised questions over whether NSTC Minister Wu Cheng-wen's recent US trip could include talks with leading quantum computing companies on potential Taiwan-US cooperation.
As physical AI and robotics draw unprecedented market attention, a key bottleneck is clogging the deployment pipeline: quality, real-world physical data. To move applications from the lab to real-world deployment, companies are getting creative in overcoming this obstacle while balancing affordability, stability, and data volumes.
