MediaTek announced that Navid Shahriari will join the company on November 9 as Senior Vice President, reporting to the General Manager and Chief Operating Officer.

South Korea's Supreme Court has upheld a KRW18.664 billion (approx. US$13.9 million) fine against Broadcom for pressuring Samsung Electronics into a long-term smartphone component purchasing agreement by disrupting supplies, bringing the US chipmaker's legal challenge to an end.

Onsemi has agreed to acquire Ferric, Inc., a developer of integrated voltage regulator (IVR) technology, for US$600 million in cash plus up to US$175 million in contingent consideration tied to revenue milestones, the company announced on November 2, 2026. Alongside the deal, Onsemi raised its 2030 AI data center revenue target by US$500 million to more than US$3 billion.

Marvell's proposed all-stock acquisition of Lumentum faces a challenge beyond a shrinking takeover premium: whether optical module makers will shift orders away from its dominant optical digital signal processor (DSP) business.

Marvell Technology and optical communications laser maker Lumentum announced on November 2 that they had signed a definitive agreement for Marvell to acquire Lumentum in an all-stock transaction. Compound semiconductor maker GCS welcomed the deal, saying it will give Marvell's optoelectronics business a more complete product portfolio.

Onsemi is pitching its AI data center business as a play on the entire power path inside an AI rack, and for now it is prioritizing that business and industrial customers over automotive restocking. On its third-quarter 2026 earnings call, the US chipmaker repeated that AI data center revenue should double in 2027 from a higher 2026 base. It also guided automotive revenue down by a high single-digit percentage in the fourth quarter, which management called a supply decision, not a strategic one.

AMD is pursuing a larger role in AI infrastructure by combining its growing server CPU franchise with rack-scale systems, broadening its offering beyond individual processors. The company's earnings call highlighted demand for CPUs that run agents and support accelerators, alongside the first revenue shipments of Helios systems built around its newest AI GPUs.

AMD expects company-wide revenue to grow more than 80% in 2027, an expansion increasingly dependent on delivering AI systems and server processors at scale. Data centers already generate nearly two-thirds of sales, but management's outlook leaves execution and product mix central to how much demand converts into revenue and profit.

AMD is preparing for another difficult year in PCs even as demand for its data center products exceeds available supply. The company's earnings call exposed the widening gap between its businesses: higher component costs are weighing on PC purchases, gaming revenue is contracting, and embedded processors are providing a separate source of growth. Chief executive Lisa Su nevertheless expects company-wide revenue to grow more than 80% in 2027.

Bosch plans to create a dedicated semiconductor division as it seeks more business in robotics, AI infrastructure, and manufacturing for external customers, extending a chip strategy rooted in automotive electronics into additional markets.

AMD's third-quarter results show its data center business becoming the main driver of growth and profitability, even as gaming demand retreats. The next test is whether a steep expansion in AI systems and server processors can deliver stronger cash generation without eroding the margins underpinning that growth.

As US export controls make it increasingly difficult for China and other restricted nations to obtain advanced chips and AI servers, Taiwan is taking proactive measures to tighten its own export controls and prevent the nation from becoming a transshipment loophole. Under the Agreement on Reciprocal Trade (ART) between Taiwan and the US, Taiwan's Ministry of Economic Affairs (MOEA) plans to align local regulations with the US Foreign Direct Product Rule (FDPR).

US semiconductor intellectual property (IP) provider Ceva has expanded its NeuPro neural processing unit (NPU) portfolio into AI infrastructure for the first time. At a November 2 press conference in Taiwan, chief strategy officer Iri Trashanski said the company was not seeking to compete with Nvidia or other major chipmakers, but to meet demand for a common architecture spanning edge AI and cloud computing.

The AI infrastructure boom has driven up memory prices across consumer electronics, dampening sales of smartphones and notebooks while hitting upstream system-on-chip (SoC) developers. With memory prices projected to keep climbing through 2027, industry observers generally expect end-market sales to remain sluggish, testing the resilience and strategy of players across the entire value chain.

Nvidia will showcase its expanding partnerships with South Korean companies at AI Day Seoul, where Samsung Electronics and SK Hynix will present semiconductor development cases using Nvidia AI technologies. LG Electronics and Doosan Robotics will demonstrate robotics technologies, while SK Telecom (SKT), Naver Cloud, and Coupang will discuss the development and operation of AI data centers and infrastructure.

Competition in the AI application-specific integrated circuit (ASIC) market will extend beyond 2028, industry sources said, with MediaTek, Broadcom, and Marvell competing not only for design wins, but also for secure access to wafers, advanced packaging, substrates, and high-bandwidth memory (HBM). The effectiveness of their supply-chain partnerships will determine how much revenue each company can ultimately generate.

Marvell Technology's agreement to buy Lumentum Holdings would give the custom chip designer its own supply of indium phosphide (InP) lasers, one of the scarcest components in AI data center networking, and make it one of the few suppliers spanning both the electrical and optical sides of the link. The deal positions Marvell more directly against Broadcom as connections inside AI clusters move from copper toward optics packaged alongside processors and switches.

Taiwan is aggressively pursuing a core strategy of "Team Taiwan to Team Global," according to Cheng-Wen Wu, Minister of the National Science and Technology Council (NSTC). Wu noted that when AI chips are manufactured in Taiwan, local tech companies are the first to understand their application scenarios and strengths—giving domestic industries a head start in integrating advanced AI into their own manufacturing processes.

The US Department of Commerce is leveraging federal funding and policy initiatives to bolster America's global competitiveness in quantum technology. Its core strategy centers on consolidating fragmented industry demand by backing shared manufacturing platforms through public subsidies and government equity stakes. The Trump administration maintains that developing the domestic quantum sector requires more than just algorithms, chip design, and system-level R&D—it also demands dedicated manufacturing infrastructure capable of serving diverse market players.

Chinese AI chipmaker Iluvatar CoreX has released benchmarks showing its next-generation Tiangai 300 general-purpose GPU outperforming Nvidia's H200 in selected large language model (LLM) inference, long-context processing and multimodal generation workloads.

China's leading electronic design automation (EDA) supplier, Empyrean Technology, plans to acquire a controlling stake in Easy-Logic Technology, a specialist in digital logic optimization, for about CNY219 million (≈ US$32.9 million). The acquisition will address a gap in Empyrean's digital chip design tools and support its development of next-generation solutions for AI chips and 3D integrated circuits (3DIC).

Iluvatar CoreX has reported benchmark results showing its Tiangai 300 AI accelerator outperforming Nvidia's H200 on selected metrics, drawing renewed attention to China's progress in developing domestic alternatives to high-end GPUs. Yet the broader competition extends beyond raw processing power, as Chinese chipmakers seek to narrow the gap with leading international AI computing platforms through chip design, software optimisation and system integration.

Taiwan can manufacture some of the world's most advanced chips, package them into increasingly complex AI systems, and connect much of the surrounding electronics supply chain within a remarkably small geographic footprint.

Taiwan's semiconductor strength is often described today through leading-edge process nodes, advanced packaging capacity, or its pivotal role in the global AI supply chain. At the Taiwan Semiconductor Industry Association's (TSIA) 30th anniversary gathering in Hsinchu, however, industry pioneer Shih Chin-Tay offered a different way to understand that advantage: not as the product of one breakthrough, one company or even one technology cycle, but as the cumulative result of six decades of learning.

The launch of Muse in September across Meta's expanding agent ecosystem has highlighted how quickly AI agents are evolving beyond conventional chatbot architectures, bringing more complex operating requirements and increasingly diversified roles into the definition of what an AI agent can do.