In early June in Vienna, a robotics startup used its keynote at ICRA 2026 — the International Conference on Robotics and Automation — to show a robotic arm slowly and precisely shaving its founder's face.

At COMPUTEX 2026, held under the theme "AI Together," a clear shift was visible across the exhibition floor: the focus has moved beyond individual chips and server specifications toward a far more practical challenge — how to rapidly deploy full-scale computing infrastructure under tight constraints of power, time, and construction capacity.

Server chassis maker Chenbro Micom reported that May 2026 revenue reached NT$2.51 billion (approx. US$79 million), up 37.3% year-over-year and 21.8% month-over-month, and said it expects robust operating momentum in the second half of 2026. The firm disclosed that consolidated revenue for the first five months of 2026 totaled NT$11.69 billion, a 46.8% increase compared with the same period last year, and attributed near-term strength to smooth handovers between legacy and new projects.

Chinese artificial-intelligence (AI) startup StepFun is preparing to file for a Hong Kong initial public offering as early as Monday, according to people familiar with the matter, in what could become one of the city's largest technology listings in recent years.

COMPUTEX 2026 has made clearer a shift already underway in Taiwan's robotics supply chain, with suppliers looking beyond humanoid showcases toward less visible technologies — including motion data, vision, sensing, embedded control, actuators, and system integration — that could determine which robots reach commercial deployment first.

Global hardware growth is facing an increasingly fragile and fragmented supply chain. At PCIM Europe 2026, software intelligence firm Luminovo's OEM Growth Lead, Inga Schwarz, made a compelling case for why AI is no longer enough to save hardware companies from costly operational challenges. The industry, she argued, must embrace a transition toward deep, native domain enterprise integration to build a unified "digital thread." With the fast-moving advancement of generative models set against modern supply chain complexity, Schwarz delivered a reality check for OEMs and EMS providers navigating the global market.

COMPUTEX Taipei 2026, held from June 2 to 5 under the theme "AI Together," drew more than 1,500 exhibitors from 33 countries and set a new record in scale. The show underscored a new AI industry reality: competition has moved far beyond standalone chip compute and into a systems-level battle spanning compute, connectivity, power, and cooling.

AI adoption in PCB manufacturing is now widespread, yet fewer than 10% of companies have fully scaled deployments, underscoring a global gap between experimentation and factory-wide integration. For readers worldwide, the findings point to a sector where quality gains are real, but talent, data, and governance constraints are slowing broader industrial change.

Memory manufacturers have reported revenue gains in May 2026, with Adata Technology posting NT$12.94 billion (approx. US$410.88 million), setting a new record for the third consecutive month. Macronix International also reached a single-month record high of NT$6.26 billion.

Following the successful conclusion of Computex 2026, Taiwan is mobilizing its technology giants to spearhead a nationwide digital transformation. Facing a stark disparity where small and medium-sized enterprises (SMEs) lag at an 11.9% AI adoption rate compared to 40% in large corporations, the government is leveraging its leading tech firms to accelerate deployment across the broader economy.

Computex 2026 has ended, with the spotlight again firmly on Nvidia CEO Jensen Huang. From his arrival in Taiwan on May 23, Huang spent two weeks meeting key industry figures, attending Nvidia developer events, GTC Taipei, and a Computex tour, and once again hosting his "trillion-dollar banquet."

TSMC's AI capacity crunch is giving Intel its clearest opening in years to re-enter the most advanced chipmaking race, with Google and Nvidia exploring Intel as a potential backup manufacturing and packaging partner for next-generation AI processors.

Nvidia and Hyundai Motor Group have agreed to deepen their collaboration in artificial intelligence, robotics, and future mobility technologies as the two companies seek to accelerate the commercialization of physical AI and expand South Korea's role in next-generation AI infrastructure.

Huawei Developer Conference (HDC) 2026 is set to open on June 12 at Songshan Lake in Dongguan, with HarmonyOS and frontier AI technologies taking center stage. Beyond updates to the HarmonyOS ecosystem, the market is also watching AI agents as a key test of Huawei's broader AI roadmap.

Anthropic completed a US$35 billion private credit financing led by Apollo Global Management and Blackstone, the firm announced, in one of the largest deals in the private credit market. The package was designed to fund the rental of Tensor Processing Units developed with Alphabet's Google and Broadcom and closed this week, according to Financial Times and Bloomberg.

The US Department of Defense has updated its list of companies identified as Chinese military companies operating in the US, adding a wide range of technology, telecom, semiconductor, drone, and artificial intelligence firms.

Tencent is sharpening a dual-track AI chip strategy, combining self-developed semiconductors for its own business workloads with deeper partnerships across China's domestic AI computing supply chain.

OpenAI has taken its clearest step yet toward becoming a publicly traded company, announcing that it has confidentially submitted a draft S-1 registration statement to the US Securities and Exchange Commission (SEC).

AMD said on June 8 it plans to invest up to GBP2 billion (approx. US$2.67 billion) in the UK over the next five years to accelerate AI innovation and research and broaden access to advanced computing resources. The company said the funding is intended to support long-term economic growth and scientific leadership nationwide.

Computex 2026 closed last week with physical AI among its central themes, and robots emerging as one of the clearest ways to demonstrate it. Yet, unlike CES, where robot makers competed to showcase their hardware, Computex presented a different picture: AI computing platforms, edge inference, physical AI architectures, and the ecosystems behind robots took center stage.

After concluding a meeting with SK Group on the morning of June 8, Nvidia CEO Jensen Huang traveled to LG Group's headquarters, the LG Twin Towers in Seoul's Yeouido district, for a formal meeting with LG Chairman Koo Kwang-mo. The discussions underscored a widening strategic partnership between the two companies across robotics, AI infrastructure, mobility technologies, and advanced AI development.

Apple's annual developer conference on June 8 served as a long-awaited stage for the company to lay out its artificial intelligence (AI) roadmap, headlined by a rebuilt Siri called Siri AI and a broader set of Apple Intelligence updates. Reaction from analysts and industry watchers was broadly cautious but not dismissive — a recurring theme being that Apple has moved in the right direction, but the most consequential capabilities remain months away from reaching consumers.

Apple unveiled a sweeping overhaul of its artificial intelligence offering at WWDC 2026 on June 8, but two of its most important markets — China and the EU — will not receive the full suite of new features at launch. The reasons differ significantly between the two regions, and industry watchers say the gap poses a strategic risk for a company whose AI pitch depends on delivering a consistent, platform-wide experience.

On June 8, Apple launched its most ambitious AI initiative to date, integrating the next generation of Apple Intelligence across its entire ecosystem. Featuring a groundbreaking partnership with Google and a privacy-focused architecture, the company introduced Siri AI, an advanced conversational assistant, alongside major software updates like macOS Golden Gate and iOS 27.