AI servers power surging demand, yet U.S. grid capacity trails shipments as midterm politics raise deferral risk.
In the OCP APAC Summit held in August 2026, suppliers including TSMC, ASE, and AMAT all highlighted the future trends of 3D IC. In September, during SEMICON, the 3DIC Advanced Manufacturing Alliance (3DICAMA), initiated by TSMC and ASE, further organized the 3DIC Global Summit. The event shifted its focus toward mass production readiness, system integration, and ecosystem collaboration in the AI era, reflecting that 3D IC is entering a new phase of large-scale manufacturing and system-level optimization.
This report provides an in-depth analysis of: (1) the definition and technology types of 3D IC; (2) the Hybrid Bonding process; (3) a summary of Hybrid Bonding suppliers; (4) TSMC’s SoIC capacity expansion timeline and market dynamics; and (5) the systemic technical challenges and future trends of 3D IC. The goal is to explain the technical principles of Hybrid Bonding, review the major bonder suppliers and market landscape, and outline the future development direction of 3D IC.
New CEO Ternus leads Apple's first foldable launch; modest specs upgrade amid surging memory costs puts pricing and AI delivery at center stage.
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.
The market once expected 5G to become the universal connectivity standard for the Internet of Things (IoT) and believed that AI would drive computing power toward the network edge. However, as of 2026, AI inference is instead shifting toward data centers and end devices, while connectivity technologies continue to diversify to meet the requirements of different applications.
Competition in the IoT chip industry is also evolving as technology roadmaps become increasingly fragmented, with new value gradually shifting toward platform solutions that integrate AI, multimode connectivity, and security. The report examines how the shift of AI inference toward endpoint devices, along with increasingly diversified connectivity, is reshaping the distribution of value and redefining competition in the IoT chip market.
This report focuses on the development trends of AI agent applications, revealing how they are changing the existing social landscape, and analyzes the possible shifts in AI core computing hardware configurations amid the rise of AI agent applications, as well as the supply chains expected to benefit directly.
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.”
Driven by strong demand from cloud service providers, the demand for HBM and server modules has surged. However, constrained by long equipment lead times and capacity reallocation, supply growth continues to lag behind. As traditional memory is severely squeezed, the market supply deficit remains difficult to resolve, keeping prices elevated. Consequently, capital expenditures and procurement strategies require continued close attention.
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 memory giants realign capacity toward high-value advanced processes, mature node capacity faces severe compression. This structural shift has caused severe shortages in legacy chips, compelling industrial and automotive customers to adopt SLC as an alternative amid critical MLC deficits. Under the twin pressures of demand spillover and supply disruptions, SLC prices are expected to witness an explosive, structural rally in 2H, shifting the market dynamics from shipment-driven to price-driven.
