
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.
TBI Motion Technology returned to profit in the second quarter of 2026, with strong demand extending order visibility into 2027. The Taiwan-based transmission component maker is also expanding into humanoid robotics and will showcase a lower-limb module at an automation exhibition this week.
Ethernet chipmaker IC Plus said on August 17 that its operations in 2026 have improved significantly after Airoha Technology took a stake and joined its management, while resources from MediaTek also provided substantial support. The company said it turned profitable in the first half of the year.
Amber Enterprises India's planned entry into smartphone manufacturing could mark a further step in India's effort to move beyond final assembly and build domestic capabilities in electronic components and materials.
Pan-International, a Foxconn Group connector and component maker, held an investor conference on August 18, 2026, to report its operating results for the second quarter of 2026 and outline its plans for the second half of the year and 2027. General manager Ming-Feng Tsai said the company's AI server products had entered the pilot production stage and were expected to begin ramping up shipments in October. Along with the gradual rollout of its axial flux motor (AFM) technology, the two growth engines would keep full-year 2026 revenue on track for double-digit growth from 2025. Looking ahead to 2027, as the two new businesses fully launch and additional contributions come from key AI server components, revenue could see explosive growth.
Niche printed circuit board (PCB) maker EISO Enterprise said that 2026 industry demand has returned to post-pandemic highs as AI applications spread across multiple segments, while chairman Jian Rong-kun said the chance of a market reversal or an AI bubble burst remains low. But since 2025, shortages and price increases in high-frequency, high-speed copper-clad laminate (CCL) have remained a shared operational challenge for PCB makers.
Mobile humanoids became Rainbow Robotics' biggest revenue source in the first half of 2026, while ROBOTIS posted rapid actuator growth and Doosan Robotics expanded its North American automation business, showing how South Korea's physical AI push is beginning to generate sales even as profitability remains uneven across robot makers.
Z.ai has released GLM-5.3, a new AI model that it said delivers major gains in coding and cybersecurity through post-training alone. The Chinese startup also said the model uncovered a potentially serious vulnerability in Cursor, the AI coding company recently acquired by SpaceX.
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.

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.

