Samsung Electronics has never had more capital at its disposal. The company reported operating profit of KRW89.5 trillion (approx. US$67 billion) in the second quarter of 2026 and KRW107.4 trillion in the third, when its operating margin reached approximately 55%. Samsung became the first technology company worldwide to post quarterly operating profit exceeding KRW100 trillion...
Although robots received less coverage at Foxconn's 2026 Hon Hai Tech Day (HHTD 26) than in 2025, the company demonstrated the confidence of a global manufacturing leader by looking beyond the humanoid, bipedal form factor. Instead, it highlighted industrial and medical robots, supply-chain partners, and physical intelligence technologies to show how different robotic platforms can serve specialized industries.
Apple is committing more money to research and securing supplies while reducing cash spending on fixed assets, a combination that shows how its AI ambitions and component shortages are reshaping investment. Its November 2 results reveal both a deliberate push into new capabilities and the growing financial burden of keeping devices and services available.
As edge AI applications and AI agents move toward real-world deployment, industrial control and embedded processors are undergoing a structural upgrade in computing capabilities.
Samsung Electronics' contract chipmaking business spent years struggling to fill its factories. On its third-quarter earnings call, the company said that by 2027, demand will exceed capacity across all its nodes below 8nm, which it expects to run at over 100% utilization.
High-profile breaches caused by AI agents from frontier labs are leading to public alarm over what AI means for the future of cybersecurity. However, Taivo Pungas, chief intelligence officer of agentic procurement platform Pactum, said that AI development is becoming a cybersecurity boon and could even be a boost for software as a service (SaaS) products.
The outlook for AI neocloud providers has sparked a clash between Tesla CEO Elon Musk, who warned that more than 200 such companies could face large-scale failures or consolidation, and Nvidia CEO Jensen Huang, who said during an interview at the GTC Berlin conference that demand for neocloud services has exceeded expectations and current funding shortages will eventually be resolved.
Arm is expanding its business model from licensing Neoverse core IP and compute subsystem (CSS) technologies to selling finished server CPUs for artificial general intelligence (AGI) applications. Meta is a co-developer and primary customer, while OpenAI also plans to adopt the products. Customers can purchase processors directly, reducing the time and cost required to develop and deploy their own chips, while Arm can increase its chip sales revenue.
Millimeter-wave (mmWave) technology was previously used mainly in military and aerospace applications, where costs were extremely high. Now, as high-frequency communications and non-terrestrial network (NTN) technologies gain momentum, new opportunities are opening up across the communications industry.
The Biological Computing Co. (TBC), a San Francisco startup that grows living neurons in its lab to find ways to make AI models more efficient, launched its first publicly available product on October 30: mischief 1, an image-to-video model the company says generates video five times faster than the open-weight model it is built on. The release moves TBC's technology from an early-access program to self-serve developer marketplaces and puts a price on the company's argument that biology can be a source of AI efficiency distinct from the standard optimization toolkit.
China's luxury car market is undergoing a major brand reshuffle. BMW, Mercedes-Benz, Audi, and Porsche all recorded significant sales or delivery declines in China in the third quarter of 2026, while domestic automakers continued moving upmarket with new energy vehicles (NEVs), smart cockpits, and driver-assistance technology.
Google is now supplying its tensor processing units (TPUs) to companies it competes with, including Anthropic and Apple. On Alphabet's third-quarter earnings call, management gave two reasons: outside customers keep the chips competitive, and outside volume lowers the cost of every chip Google uses itself. However, it would not say how much money the business makes.
Surging demand for AI computing is driving advanced packaging toward larger form factors, according to Ting-Hao Lin, R&D vice president at Kinsus Interconnect Technology, speaking at the 2026 TPCA Show. To support this trend, substrate materials must deliver low warpage and exceptional dimensional stability while overcoming challenges in thermal expansion mismatches and structural stress.
In the era of AI and high-performance computing (HPC), the once-separate worlds of chip design, packaging, and circuit boards are converging. According to the Global Electronics Association, AI server motherboards have become the largest, thickest, and most structurally complex PCBs ever manufactured, drawing substrate and PCB makers, which historically reacted to decisions made by chipmakers and packaging clients, into the heart of AI hardware development.
After GPT-6 Astra launched in early September 2026, researchers quickly put it through Physical AI and robotics benchmarks. In some tests, it outperformed specialized models trained on large amounts of robot data.
