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 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.
As growth momentum in the foldable smartphone market slows, overall penetration in 2025 has held at only about 1.6%, indicating the segment is gradually entering a high‑end maturity stage. Even so, major brands continue to launch new generations of foldables, reflecting a strategy of deepening product portfolios and shoring up market positions. The market generally expects that when Apple enters the space in 2026, it will reinvigorate growth, driving shipments from around 25 million units to 30.8 million units by 2027 and pushing penetration higher again.
Within this development trajectory, “creases” are no longer just a mechanical issue dominated by hinges and structural design, but are increasingly becoming a core metric of display‑technology integration. With Apple expected to enter the market and capture around 20% share in 2026, the move not only extends its brand influence, but also underscores high market expectations for crease reduction and materials‑technology breakthroughs. As a result, the industry’s competitive focus is shifting from pure structural optimization toward materials science, such as modulus engineering, interlayer stress distribution, and neutral‑plane control, signaling that foldable devices are entering a critical phase on the path toward “imperceptible creases.”
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.
With Google, Meta, and MediaTek all considering adopting Intel’s EMIB packaging technology, Intel’s technological progress in advanced packaging and glass substrates has once again attracted significant attention in the industry. In particular, Intel showcased the first sample at NEPCON Japan on January 22nd 2026 that combines Intel’s EMIB packaging with a glass substrate, capable of supporting a chip twice the reticle size, with bump pitch shrunk to 45µm, and claimed to have achieved No SeWaRe (no micro‑cracks) during testing, implying that glass substrates are one step closer to mass production. On the other hand, besides Intel, TSMC, Samsung (SEMCO), Rapidus, and SK Absolics are also expected to achieve mass production of glass substrates successively between 2027 and 2028.
This report mainly provides in‑depth analysis of: (1) trends in large‑size chip packaging; (2) the advantages of glass substrates; (3) the glass substrate technology roadmaps of major foundries/OSATs; (4) challenges in mass production of glass substrates; (5) glass substrate solutions and corresponding suppliers; and (6) an overview of the glass substrate supply chain and opportunities for Taiwanese manufacturers. This report analyzes current demand drivers for glass substrates, technological bottlenecks, supplier performance, and potential supply‑chain opportunities for Taiwanese companies.
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.
The global automotive LED market for lighting and display applications in 2025 is expected to face significant pricing pressure due to ongoing macroeconomic uncertainty. However, an analysis of order performance among automotive LED suppliers indicates that vehicle production may recover in the second half of 2025. Along with the continued adoption of advanced technologies in 2026 vehicle models, the market value of automotive LEDs and automotive lighting is projected to grow to $3.451 billion and $35.729 billion, respectively.
Automotive lighting and display technologies are progressing toward personalization, communication displays, driver assistance, and safety enhancements. In response, automakers are increasingly promoting advanced technologies as high-value features. These include adaptive headlights, Mini LED taillights, full-width light bars or through-type taillights, grille lights, and broad front light strips, intelligent ambient lighting, ground projection, and Mini LED backlight displays.
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.
As the global market expands its investment in AI computing and the development of related applications, humanoid robots are expected to become the largest AI application by market size. The introduction of torque and inertia sensing technology by manufacturers is critical for humanoid robots to walk flexibly and mimic human behavior in various scenarios. These two sensor systems need to work perfectly in sync, driving robots from simple programmed actions towards more natural human behavior. Humanoid robots need to operate in complex and variable environments and possess reaction speeds similar to humans. Their sensing systems must accurately perceive and respond to their surroundings. Currently, several robot manufacturers are specializing in improving their walking performance.
