Airoha Technology is sharpening its strategy around global networking and edge AI chips, aiming to expand its customer base and strengthen its competitive moat. The MediaTek subsidiary is targeting infrastructure, audio, and positioning markets with products already shipping, in production, or advancing through development milestones that could matter to users and operators worldwide.

Arm EVP and Chief Commercial Officer Will Abbey visited QBit Semiconductor's Taiwan headquarters on May 27, signaling deeper cooperation that could shape future chip design for edge AI, physical AI, and quantum-computing cybersecurity. The visit highlights how platform alliances are increasingly influencing next-generation computing architectures for global technology markets.

MediaTek held its shareholders' meeting on May 29. Addressing the company's future outlook, Chairman Ming-Kai Tsai said that while the mobile phone market in 2026 has performed below expectations due to a sharp rise in memory prices, MediaTek's market share in various connectivity chips has increased significantly. He also noted that the company began generating revenue from AI data centers in 2026.

Genius Electronic Optical (GSEO) held its shareholders meeting on May 29, with chairman Jones Chen and president Ying-Li Guo in attendance. GSEO reported standalone revenue of NT$20.89 billion (approx. US$665.7 million) in 2025, up 13% from NT$18.496 billion in 2024. Consolidated revenue reached NT$24.989 billion, increasing 8% from NT$23.187 billion in 2024. Earnings per share (EPS) came in at NT$32.84, slightly lower than the previous year's NT$38.35.

As AI moves from cloud environments into factories and physical systems, semiconductor design is being reshaped by new demands in speed, energy efficiency, and on-site learning. At a recent system-semiconductor seminar in South Korea, Seong-jun Jang, a research center director at the Korea Electronics Technology Institute (KETI), outlined four key architectural directions for future AI chips aimed at supporting industrial "physical AI."

C2i Semiconductors has advanced its power management technology with the tape-out of a chip designed for AI infrastructure, while also securing fresh venture backing to expand development and scale production. The developments underscore growing investor interest in addressing power delivery bottlenecks in data centers, driven by accelerating AI workloads.

The European Commission wants governments to buy chips from EU startups as Brussels seeks to reduce the bloc's reliance on US and East Asian suppliers, Reuters reported, citing a document it has seen.

Qualcomm Technologies is pushing its Windows-on-Arm strategy into lower-cost laptops with a new Snapdragon C platform, betting that PC makers squeezed by rising memory costs will look for alternatives to traditional x86 chips in the entry-level market.

Cloud service providers' demand for application-specific integrated circuits, or ASICs, is increasingly locked in as advanced process nodes, advanced packaging, and component supply tighten worldwide. For readers across global tech markets, the shift means access to manufacturing capacity, not just chip design, is becoming the main determinant of who can supply the next wave of AI hardware.

Oppstar Bhd has restructured the delivery framework of an artificial intelligence chip development project with a Yokohama-based client, replacing an earlier tripartite arrangement with separate design services agreements and formalizing a US$2.9 million contract for its engineering scope, according to The Edge Malaysia.

As the global buildout of artificial intelligence infrastructure accelerates, Taiwan's technology industry has emerged as one of the most closely watched hubs in the world. Ahead of COMPUTEX 2026, Morgan Stanley held its Asia AI Summit in Taipei for the first time, underscoring the island's central role in the global semiconductor supply chain and the AI investment cycle.

South Korean fabless chip-design company DeepX is using Computex 2026 to broaden partnerships around its neural processing units, or NPUs, as it pushes low-power AI chips for industrial and edge applications.

Chinese CMOS image sensor supplier SmartSens Technology announced on May 26 that it has entered into a strategic partnership with Chinese IC design company Unisoc to jointly develop Micro LED-based high-speed optical interconnect technology, targeting applications in AI computing clusters, smart vehicles, and industrial vision.

South Korean AI chip startup FuriosaAI has announced a partnership with Broadcom to develop a next-generation AI inference platform aimed at large-scale agentic AI deployments, as demand grows for infrastructure optimized for AI reasoning and high-volume inference workloads.

As Moore's Law nears its limits, Huawei is promoting its "Tau (τ) Law" as a post-Moore chip framework that shifts the focus from nanometer process nodes to shorter signal transmission times across electronic systems.

Apple's introduction of the MacBook Neo has intensified competition in the low-end notebook market, putting pressure on Windows-based manufacturers across both education and consumer segments, according to industry executives and analysts.

Nvidia's plan to launch Rubin CPX, an inference-focused graphics processing unit for its Vera Rubin platform, has become increasingly uncertain as supply-chain activity around the product appears to have stalled, according to The Elec.

China has brought AI chips into its national security and reliability evaluation framework for the first time, turning what looks like a product certification process into something more consequential: an emerging gatekeeping system for AI computing infrastructure.

Synopsys reported divergent regional performance in the second quarter, with China showing sequential growth while North America and Europe declined, as demand patterns for semiconductor design tools and simulation software remained uneven across end markets.

Huawei's "Tau (τ) Scaling Law," unveiled at ISCAS 2026 on May 25, has become a global semiconductor flashpoint, drawing scrutiny from financial institutions, media outlets, chip analysts, and research firms.

Synopsys said the rise of agentic artificial intelligence and the integration of Ansys are creating new growth opportunities across electronic design automation (EDA) and simulation software, as semiconductor and industrial customers adopt more complex AI-driven engineering workflows.

Qualcomm has reportedly landed more than one ASIC customer, with a separate project for a US cloud service provider also taking shape, according to industry sources. The development follows reports from Bloomberg and other media that ByteDance, the developer of TikTok, is Qualcomm's first major client for its custom chip push.

Synopsys said growing demand for artificial intelligence chips from semiconductor companies and hyperscale data center operators is driving broader adoption of its electronic design automation (EDA), hardware-assisted verification, and intellectual property (IP) products, supporting a higher fiscal 2026 revenue outlook and reinforcing the company's position in AI-related semiconductor development.

On May 27, Marvell Technology reported record revenue in the fiscal first quarter of 2027 and raised its long-term outlook, citing accelerating demand for AI-related data center infrastructure, particularly in high-speed interconnect, Ethernet switching, and custom silicon solutions used in hyperscale cloud deployments.