On July 27, 2026, the Chinese AI startup Moonshot AI officially open-sourced the weights for its flagship AI model, Kimi K3. Boasting a total parameter count of 2.8 trillion (2.8T), Kimi K3 currently stands as the world’s largest open-source model, establishing a new benchmark for frontier AI models in China. Shortly after, DeepSeek released DeepSeek V4 Flash on July 31, and Alibaba Cloud announced Qwen 3.8 Max on August 3. These rapid developments have fueled market discussions regarding a potential “second DeepSeek moment” and the intensifying US-China AI rivalry.
This report provides an in-depth analysis of the following: (1) an overview of Kimi K3, Qwen 3.8 Max, and DeepSeek V4 Flash; (2) a dissection of Kimi K3’s core technologies; and (3) a comparative analysis of AI models developed in China and the United States. This report aims to evaluate mainstream Chinese AI models, elucidate the underlying technical principles and trends of Kimi K3, and assess the competitive landscape between Chinese and American AI capabilities.
Dexterous hands are one of the most costly core modules in humanoid robots. As robot shipments grow, the market for dexterous hands expands in lockstep, and capital is rapidly flowing into specialized dexterous‑hand module manufacturers. Specialist vendors, based on requirements for degrees of freedom, payload, and sensing, have developed three main technical routes: screw‑linkage, tendon‑driven biomimetic, and high‑perception designs, and they offer multiple product lines tailored to different scenarios. Among whole‑machine manufacturers, Tesla has adopted a high‑precision in‑house R&D route; its mass‑production readiness and reliability validation still remain to be fully proven. 1X, by contrast, focuses on home scenarios and compliant interaction, using low‑gear‑ratio tendon drives combined with tactile “skin.”
The war between the US and Iran that broke out in 1H26 indirectly reshaped the global energy architecture. The conflict triggered a blockade of the Strait of Hormuz, pushing international oil prices above US$100 per barrel and exposing the extreme vulnerability of the global fossil‑fuel system. In this crisis, the role of NEVs underwent a fundamental transformation. They are no longer merely carbon‑reduction tools under the framework of the Paris Agreement, but have risen to become mobile energy‑storage units and de‑oil‑dependence tools within national energy‑security strategies. As automobiles are key instruments of human economic activity, any change in their energy structure has far‑reaching effects on a country’s economic resilience. By reducing reliance on gasoline, NEVs help economies build energy resilience against geopolitical conflicts.
The global humanoid robotics industry is advancing rapidly across three key hubs—China, North America, and the broader Asian supply chain—and is approaching a pivotal inflection point around 2026 as the industry transitions from technology validation to early commercialization.
The evolution of the ecosystem showcased at EAI SHOW, the growing pressure for commercial deployment highlighted at the Robotics Summit, and the advances in supply chain capabilities and computing platforms demonstrated at COMPUTEX all indicate that industry competition is shifting away from isolated technological breakthroughs toward system-level competition encompassing AI foundation models, critical components, and standard ecosystems.
Against this backdrop, humanoid robots are no longer viewed merely as an extension of industrial automation. Instead, they are increasingly emerging as the primary embodiment of next-gen Physical AI and a key catalyst for industry-wide transformation.
Intensifying global geopolitical conflicts are driving up defense spending, and warfare is pivoting toward asymmetric and information warfare, making low-cost unmanned vehicles (UAVs) crucial. China is deepening military-civilian integration to break through technology controls, while Taiwan is fully developing localized UAV and AI defense supply chains to strengthen resilience.
Vision-language-action (VLA) models have become central to the evolution of autonomous driving. Their key advantage lies in significantly improving generalization in long-tail scenarios while enhancing system compliance through more interpretable reasoning processes, making them a critical pathway toward achieving Level 4 autonomy.
However, deploying VLA models requires high-performance hardware architectures—particularly in terms of compute density, memory capacity, and bandwidth. This report examines the hardware transformation driven by VLA and its cascading impact on controller cost structures and semiconductor supply chains.
The global satellite market is expected to reach $392 billion in 2026. Competition will intensify as Starlink continues expanding satellite broadband and direct-to-cell (D2C) services into emerging markets, prompting MEO/HEO/GEO satellite operators to accelerate multi-orbit deployment strategies to counter Starlink’s growing influence.
Meanwhile, early-stage 6G deployment is underway. As global satellite service markets rapidly scale, Taiwanese manufacturers are shifting production bases to Southeast Asia while increasing shipments of key satellite components.
In its endeavor to bolster its global leadership, the United States is actively promoting the reorganization of supply chains and the repatriation of manufacturing through the implementation of reciprocal tariffs and a significant increase in strategic investments. This report provides a comprehensive examination of the U.S. smart manufacturing landscape, with specific attention to the semiconductor, automotive, and fast-moving consumer goods (FMCG) sectors. It delves into the strategic postures of key companies and their deployments in hardware (e.g., chips and sensors), software, and integrated systems.
Driven by technological breakthroughs and favorable policies, the robotaxi industry is moving toward commercialization. Key players are actively expanding their operations, making them crucial drivers of the autonomous driving industry's growth.
1. Current Status of U.S. Tariffs
2. Vehicle Origin and U.S. Content
3. Analysis of Tariff Impact on Auto Sales
4. TRI’s View
