China's Unitree Robotics has slashed its humanoid robot prices sharply, in stark contrast to the industrial robot market, where prices have remained stable, and orders have continued climbing to record highs. The divergence has intensified debate over whether AI robots will first break through via humanoid or non-humanoid models.

As generative AI moves from pilot projects to large-scale deployment in 2026, enterprises are facing a growing problem: AI bill anxiety.

SoftBank Group said it will prioritize building large-scale terrestrial AI data-center capacity rather than pursuing space-based data centers, with founder Masayoshi Son arguing that the decisive advantage in artificial intelligence will come from compute infrastructure deployed on Earth.

The race to commercialize physical AI and autonomous robots is running into a fundamental challenge: existing robot safety frameworks were designed for deterministic systems operating in controlled environments, not for autonomous machines making decisions in dynamic, unstructured ones.

Getting humanoid robots into factories and warehouses has always depended on two things: making them smart enough to be useful and safe enough to work alongside people.

South Korea has moved its Physical AI Alliance from a policy-setting body into an operational platform, as the government and companies such as Naver deepen cooperation with Nvidia on physical AI, AI factories and large-scale computing infrastructure.

Amazon Web Services (AWS) is moving into volume production of AI servers built around its latest custom chip, Trainium 3, setting up Taiwan suppliers across cooling, assembly, and slide rails for a shipment ramp that could extend into early 2027, according to supply chain sources.

Micron and Anthropic have announced a strategic agreement to scale the infrastructure needed to support increasingly powerful AI models, deepening ties between a leading memory supplier and one of the industry's fastest-growing AI developers.

SK Hynix's semiconductor production base in Cheongju, South Korea, has seen a string of accidents since 2026, prompting questions over whether its safety management system has gaps. The incidents have drawn scrutiny because many occurred after the M15X fab began operation, as the company ramped up production to meet surging high-bandwidth memory (HBM) demand.

IBM has announced a partnership with OpenAI aimed at helping enterprises defend against increasingly sophisticated cyber threats by integrating frontier AI into security operations and workflows. The collaboration comes as organizations face a growing challenge from attackers that are also leveraging advanced AI tools to accelerate cyberattacks.

Japan is preparing a sweeping public-private investment strategy totaling more than JPY370 trillion (US$2.3 trillion) by fiscal 2040, spanning 17 strategic sectors including AI, semiconductors, aerospace, and energy-related industries.

Demand for high-end fiberglass cloth is surging on the AI boom, and orders from copper-clad laminate (CCL) customers are leaving the world's two largest suppliers, Nittobo and Taiwan Glass, short of capacity. In particular, low coefficient of thermal expansion (CTE) and low Dk2 products remain the tightest, with supply-demand gaps now expected to last through 2027.

AI is no longer a localized software novelty. It is now aggressively wiping out traditional hardware infrastructure across Europe. According to new market intelligence reports from CONTEXT World, there has been an unprecedented displacement of legacy systems. Driven by complex professional workflows, massive public sector procurement, and a fundamental restructuring of telecommunications networks, AI-optimized hardware has transitioned from a progressive choice to an absolute operational necessity.

Physical AI and ADAS-cockpit integration have become the two main forces driving upgrades in China's autonomous driving and smart cockpit supply chains, according to the latest report from DIGITIMES Research. Under this trend, automakers and tech companies are accelerating the deployment of world models and LLMs, with a new wave of mass production and commercial pilot runs expected in the second half of 2026.