The 27th China International Optoelectronic Exposition (CIOE 2026) will run September 9-11 in Shenzhen, bringing together more than 5,000 exhibitors from over 30 countries and regions as AI infrastructure, high-speed optical communications and AR/VR applications reshape the optoelectronics industry.

Malaysia is evaluating Huawei Technologies' Ascend 910C accelerators as the compute backbone of its MYR2 billion (US$494 million) sovereign AI initiative, which is designed to keep national data under domestic control, Bloomberg reported on Sept. 7, citing people familiar with the matter. The number of chips under consideration remains unclear, and no supplier decision has been announced.

Venture capital firm a16z recently hosted investor Gavin Baker and a16z partner David George for a discussion on Nvidia's competitive position. Baker argued that CEO Jensen Huang has built a formidable moat around a strategy of being "vertically integrated but horizontally open."

As AI server computing power and per-rack power density continue to rise, traditional 54VDC power architectures are hitting bottlenecks such as excessive current, higher copper usage, and greater transmission losses. This is pushing next-generation AI data center power designs toward 800V high-voltage direct current (HVDC).

Acer's Asia operations posted double-digit revenue growth at three subsidiaries in the first half of 2026, led by Altos Computing, Acerpure, and Highpoint Service Network. Altos is seeing particularly strong demand for AI servers, prompting Acer's president of Pan-Asia Pacific operations Andrew Hou to say the unit will need to double its headcount to meet customer demand.

The US-China space race is broadening beyond rocket launches and crewed lunar missions into a growing array of strategic arenas, including lunar resources, low-Earth-orbit (LEO) satellite constellations, space computing and military capabilities in orbit.

Accton Technology reported on September 7 that August consolidated revenue reached NT$40.873 billion, a record high and the first time the network equipment maker has exceeded NT$40 billion in monthly sales. The result was up 59.42% from the same period in 2025, while cumulative consolidated revenue through the end of August climbed to NT$246.004 billion, also a record for that period.

This year's SEMICON Taiwan saw companies worldwide flock to Taipei to learn new industry developments and score potential business opportunities. Many came from elsewhere in Asia, but some came from as far as California, where business leaders highlighted the complementary relationship between the state's research and start-up ecosystem and Taiwan's manufacturing capabilities.

Taiwan plans to deepen its role in global technology supply chains as demand for AI chips, advanced packaging, and memory tightens worldwide. A new policy agenda aims to bolster semiconductor output, expand AI deployment, and strengthen resilience in industries that affect manufacturers, investors, and consumers across regions.

As the global race for artificial intelligence (AI) consumes vast oceans of electricity and pushes modern utility grids to the brink, a team of California researchers is looking to biological neuroscience to build an entirely new class of energy-efficient microelectronics. Their objective is straightforward but radical: reverse-engineer the human brain to solve the semiconductor industry's looming power and thermal bottlenecks.

As the artificial intelligence revolution outgrows the digital cloud and demands physical form, a major structural transition is quietly reshaping Silicon Valley. While the region has long been celebrated as the world's epicenter for software and venture capital, the massive compute, cooling, and mechanical requirements of robotics and physical AI are pulling tech's center of gravity back to heavy industrial hardware.

STMicroelectronics said humanoid robots are still most likely to enter manufacturing first, as the industry works through key hurdles in hand dexterity, edge AI decision-making, and total system cost. The chipmaker made the remarks at a recent press event in Taiwan focused on sustainability, AI data centers, and robotics.

Artificial intelligence (AI) and high-performance computing (HPC) are driving the global semiconductor industry into a new expansion cycle, with fabs extending from Taiwan to the US, Japan, Singapore, and Europe. Demand is rising for facility engineering services, including hookup and equipment installation, and semiconductor engineering services provider Yaho System Technology (Yaho) is moving fast to capture this market.

The AI industry's release calendar has compressed to the point where a single week can carry five frontier or near-frontier launches, but the acceleration is not a sign of confidence. It is a defensive reflex in a market where a rival's announcement can bury your own, where Chinese labs have closed most of the quality gap at a fraction of the price, and where neither the American nor the Chinese side of the race expects to earn back its spending for years.

By the final afternoon of K-Safety Expo 2026, after three days of threading my way through BEXCO's sprawling exhibition halls in Busan, one impression had become difficult to ignore: AI was no longer sitting beside the safety industry as an adjacent technology. It was increasingly becoming part of safety's definition.

DeepSeek is reportedly planning to purchase 160,000 Huawei chips for its large 1 GW data center currently under construction in the Chinese province of Inner Mongolia. This would make it among the largest clusters of Huawei chips deployed to date, as the Chinese authorities attempt to wean the country off Nvidia chips, but still struggle with insufficient domestic manufacturing capacity.

The same AI boom that is filling handsets with new features is draining the memory supply that makes cheap phones possible—and in India, the world's second-largest smartphone market, buyers are paying for both. Xiaomi India's leadership told HT Tech that prices will keep climbing through the second half of 2026 as the global chip shortage persists, even as the company doubles down on AI features it says should be felt rather than seen.

HyperVault, a Tata Consultancy Services (TCS) subsidiary, has secured 264 acres in Hyderabad to build a large AI data center campus capable of reaching 1GW of capacity. The project could strengthen India's role in global artificial intelligence infrastructure, while influencing jobs, energy demand, and digital supply chains worldwide.

JM-Applied, a Taiwanese semiconductor gas equipment manufacturer and supply chain member for Micron and TSMC, said on September 4 that revenue in the first half of 2026 exceeded NT$600 million (approx. US$18.98 million), up more than 50% year-over-year. Growth was driven by the continued demand for artificial intelligence (AI) and high-performance computing (HPC), which is driving global semiconductor expansion and boosting demand for gas supply systems and equipment at wafer fabs.

Anthropic is moving toward a potential blockbuster stock-market debut this fall, but the company's unusual governance structure could become an important issue for investors alongside its growth prospects.

As AI data centers scale rapidly, Eaton is expanding beyond traditional power management into modular power deployment, next-generation DC conversion and liquid cooling, positioning itself to address infrastructure requirements from the electrical grid to AI chips.

AI-driven automation is reshaping the cybersecurity requirements of semiconductor manufacturing, with zero-trust architecture, trusted data, and interoperable standards becoming increasingly important as fabs move toward more autonomous operations.

The most consequential safety technologies are often judged by what happens after something goes wrong: how fast an alarm sounds, how quickly rescuers arrive, or how effectively protective equipment limits injury.

Taiwanese automotive microcontroller (MCU) maker SiliconAuto showcased its products at SEMICON Taiwan 2026, with CEO Gene Liu saying the company is now spotlighting AI chiplet architecture for automotive and industrial edge AI as carmakers seek more flexible chip designs.

Pegatron announced on September 3 that it had signed a memorandum of understanding with Deloitte Taiwan, combining Pegatron's self-developed enterprise AI digital twin platform with Deloitte's consulting expertise in AI strategy, governance, and implementation to offer corporate clients a one-stop AI solution from planning to deployment.