Amazon disclosed a US$496 billion AWS backlog growing at triple-digit rates in the second quarter, and CEO Andy Jassy used the call to lay out unusually specific unit economics defending the capital behind it.
Chinese robotics companies are assessing the impact of new US regulatory measures after the US Federal Communications Commission (FCC) added foreign-manufactured advanced robotic equipment and connected power inverters to its Covered List, raising concerns that future products may be blocked from entering the US market.
Radiant Opto-Electronics (ROEC) is moving into AI optical communications through acquisitions. Chairman Yu-Chao Wang is targeting the medium- to long-term miniaturized optical communications market, aiming to give ROEC a completely different solution in the sector.
Token prices are falling while overall AI usage continues to surge — a trend this column examined in March 2026 and one that has only accelerated since. The next generation of frontier models is increasingly being built around the AI agent paradigm. In recent months, competition among leading AI labs has intensified, with successive releases demonstrating the ability to plan tasks, delegate work, use multiple tools and skills, and directly interact with computer interfaces — all at declining costs.
India is expanding its semiconductor ambitions through new R&D centers, indigenous design tools, packaging facilities and AI infrastructure investments, aiming to strengthen domestic capabilities and reshape global technology supply chains.
Agentic AI is reshaping how work is delegated among intelligent systems, yet legal frameworks have failed to keep pace with the growing autonomy of AI agents. Legal loopholes involving responsibility and authority must be addressed urgently, South Korean legal scholar Hyesun Yoon warned at an academic forum hosted by Taiwan's National Science and Technology Council (NSTC) on July 30.
The AI boom has been lifting Taiwan's upstream, midstream and downstream supply chains, but the country's application development remains a key area that still needs work. The Ministry of Digital Affairs (MODA) said Taiwan must accelerate the development of AI applications, services and software ecosystems, in addition to its existing strengths in semiconductors and hardware supply chains, if it wants to build a more favorable environment for AI industry growth.
