AI-driven growth will push the semiconductor industry past the US$1.6 trillion mark in 2026, while accelerating chip development cycles to one new product every nine months, Etron Chairman Nicky Lu said. He warned that the next 3 to 5 years will be critical for Taiwan, which risks facing intense competition unless it builds stronger software, system, and architecture advantages.

Unitree Robotics continues to expand production of its humanoid robots but still faces challenges in production capacity and artificial intelligence (AI) technology as it works to scale up production for widespread adoption.

LG Electronics is expanding its artificial intelligence (AI) footprint on two fronts: in-house appliance chips and GPU compute services. On one hand, the company is scaling up the deployment of custom AI chips in its home appliances to boost product differentiation. On the other hand, PADO, a startup incubated and spun off by LG NOVA (LG's North American Innovation Center), is entering the GPU compute leasing and brokerage market to explore data center opportunities.

Salesforce has seen sustained growth in both revenue and new customer count, as the company's Taiwan office approaches its first anniversary. According to Salesforce Taiwan general manager Chia-shen Hsu, Agentforce and Data 360 deployments account for roughly 40% of newly signed deals, showing that local companies are moving from evaluating AI technology to applying it in real business scenarios.

Chunghwa Telecom (CHT) has established Chunghwa Yaocih Technology to expand into AI and intelligent imaging, holding its inauguration and unveiling ceremony on October 22. The new company will focus on AI, image recognition, and smart security as CHT deepens its digital transformation services for businesses and government agencies.

Verda and Compal Electronics have expanded their partnership to support Verda's rapidly growing AI infrastructure footprint, combining Verda's AI cloud expertise with Compal's expanding global manufacturing network and advanced AI server engineering capabilities. The companies showcased the results of their collaboration at GTC Berlin 2026 as demand for AI computing continues to rise across Europe and global markets.

Tesla unveiled its new Roadster, equipped with rocket-style thrusters, on October 15 and announced plans to begin production in 2028, more than a decade after the second-generation prototype was first showcased.

While Tesla is expanding its ambitions in autonomous transportation and embodied AI, developments in its energy-storage business are drawing attention following a mixed set of financial results in the company's third-quarter 2026 earnings report.

OpenAI has acquired biotech startup Orchestra Bio and will integrate its team and technology into its life sciences research platform, Rosalind, expanding AI applications in drug development in an effort to accelerate the arrival of new therapies.

Nvidia used its first GTC conference in Berlin to present a factory-style approach to AI, framing AI production as an industrial process. CEO Jensen Huang introduced the DSX full-stack architecture and DSX POD, a modular computing container designed to speed data-center deployment and bring systems online faster across Europe.

Japanese Prime Minister Sanae Takaichi will finalize a five-year plan by the end of 2026 outlining an investment blueprint for 17 strategic sectors. The plan will prioritize semiconductors and gaming for near-term investment, while physical AI and hydrogen are positioned as the next growth drivers.

Amazon plans about US$220 billion in capital expenditure in 2026, mainly for cloud and AI infrastructure, but delays in data center power and construction are causing server racks to arrive before they can be deployed. The bottleneck is leaving expensive equipment in warehouses, preventing it from immediately generating computing capacity and revenue.

Tesla's move into early production of its Optimus humanoid robot has exposed an unusual challenge in scaling embodied artificial intelligence (AI): the company may need to manufacture thousands of robots before it can generate enough training experience to make them commercially useful.

Amazon will invest more than EUR160 billion (about US$17.9 billion) in Germany in 2027 to expand its cloud computing, artificial intelligence (AI), low-Earth-orbit (LEO) satellite network, logistics and media-content businesses, while establishing its second robotics and AI research laboratory in Berlin.

Meta Platforms is limiting the Muse personal AI agent to the US and Canada for now, saying that compute costs are the main reason it hasn't gone global.

As Nvidia expands its chip business beyond technology giants into emerging AI markets such as new cloud providers, it has become a "central bank" helping these companies expand by backing customers and demand. But as Nvidia-backed AI cloud companies come under pressure, concerns are growing over how long Nvidia can sustain this role.

Samsung Electronics has disclosed a patent application targeting GPU memory shortages when multiple users simultaneously submit requests to AI servers. By calculating data-transfer costs between GPUs and CPUs and minimizing unnecessary transfers, the technology is designed to enable AI servers to process more user requests quickly within limited memory capacity, without adding GPUs.

Nvidia is positioning the expansion of artificial intelligence as an infrastructure and industrial shift, not simply a software trend. At GTC Berlin, CEO Jensen Huang described an economy spanning energy, computing, AI factories, models, and applications, while urging Europe and telecom operators to build capacity to produce, host, and deploy autonomous AI systems.

Nvidia said on October 21 that it is working with six supply chain partners to expand manufacturing capacity for substrates, advanced packaging, testing, and optical engines to meet growing demand for its accelerated computing and AI factory platforms.

Wheeled robots could address as much as 80% of the market, according to PAL Robotics CEO Francesco Ferro, a notable assessment from a company that also develops bipedal humanoids.

IBM's third quarter went some way towards answering whether the deal slippage that hit its second quarter reflected weaker demand or delayed timing. Revenue rose 5% year on year, or 6% at constant currency, to US$17.1 billion for the quarter ended September 30, 2026, an acceleration after a second quarter that led the company to cut its full-year outlook in July.

Meta Platforms' third quarter showed that its core advertising business is still growing fast enough to carry one of the largest infrastructure programs in the technology industry. Still, it also showed legal liabilities becoming a material cost line. Revenue rose 26% year on year to US$64.6 billion for the quarter ended September 30, 2026, while the operating margin fell to 20% from 40% a year earlier.

Syscom Computer Engineering is expanding its portfolio in edge AI and its broader enablement ecosystem, with the company showcasing its latest products at the 2026 AIoT Taiwan exhibition, under the theme "Edge Intelligence Now."

Precision gearmaker Khgears International is expanding into humanoid robot joint components and expects its newly developed differential reducer to enter mass production in 2027. The company said shipments for new projects should remain strong through the fourth quarter of 2026, after reporting September revenue of NT$336 million (US$10.3 million), up 27.61% year on year.