Microsoft CEO Satya Nadella laid out how the company is scaling its AI infrastructure and platform to keep pace with demand. He outlined these plans during an earnings call on July 29, when he also announced record revenue above US$331 billion for fiscal year 2026 (ending on June 30), with Microsoft Cloud earnings surpassing US$214 billion and Azure earnings surpassing US$100 billion.
Microsoft reported stronger-than-expected fiscal fourth-quarter results, driven by accelerating Azure cloud growth and rising adoption of its AI products, reinforcing investor confidence that the company's heavy investments in AI are generating commercial returns. Robust guidance for the current quarter and continued enterprise demand also eased concerns over spending on AI infrastructure.
Global automakers are facing slower market growth, the rapid rise of Chinese carmakers, and sustained EV investment, with Volkswagen, BMW, and Mercedes-Benz under strain in recent years. While German automakers still lead the global auto industry, revenue and profitability have come under broad pressure over the past two years as competition shifts from volume growth to product value and operating efficiency.
A Taiwan startup says it has found a way to hide advanced eye-tracking technology inside what looks like an ordinary pair of glasses — using just one camera and a single LED light source.
Taiwan's Aerospace Industrial Development Corporation (AIDC) has spent nearly a decade pushing AI adoption, moving from smart manufacturing in 2015 to full-scale generative AI deployment in 2024, and turning years of production experience into digital corporate assets. Information chief I-ting Fang said the company now hopes to transform its AI and smart manufacturing expertise into a business model that can help more suppliers and manufacturers accelerate AI transformation.
As the global electric vehicle (EV) market enters a growth adjustment phase, the auto industry is shifting from "electrification" toward "intelligence," while AI agents move rapidly from the cloud to end devices. Qualcomm says the end devices with which future AI agents will mainly interact include about 6 billion smartphones, 2 billion AI wearables, 2 billion PCs, and 500 million connected cars, underscoring how vehicles are becoming a key gateway to AI services.
For the past three years, large language model (LLM) development has moved along the same track: models have gotten bigger, parameter counts have climbed, reasoning has improved, AI agents have matured, and long-context windows have kept breaking records. The industry's debate has also centered on model capability, computing scale, and how far the field is from artificial general intelligence (AGI).
Nvidia CEO Jensen Huang's whirlwind visit to Japan in mid-July extended well beyond product announcements and public appearances. Alongside a joint event with gaming giant Sega Corporation, Huang used the trip to promote what he has repeatedly described as Nvidia's next major AI frontier—physical AI—sparking renewed discussion across Japan's industrial sector about the country's role in the emerging technology.
