Huawei, on September 16, 2025, unveiled its Intelligent World 2035 report in Shenzhen. David Wang, Executive Director and Chairman of the ICT Infrastructure Managing Board, delivered the findings under the theme "Explore the Unknown. Shape the Future," outlining Huawei's long-term vision for AI and intelligent infrastructure.

Nvidia has launched its latest Rubin CPX GPU aimed at applications in the era of large-scale inference for AI. According to research firm SemiAnalysis, the launch represents a new direction in GPU development, leveraging decoupling and collaborative division of labor to meet AI inference demands. In addition to demonstrating design flexibility and foresight, the Rubin CPX GPU could also signal a fundamental transformation in the inference domain and the industry roadmap as a whole.

Chun-Hsien Yeh, the new minister of Taiwan's National Development Council (NDC), pointed out on September 17 that with strong demand for artificial intelligence (AI), TSMC will be running at full capacity through 2026. He believes that TSMC can maintain its technological lead for at least another 5 to 10 years. Taiwan's policies, work culture, talent education, and ecosystem are all key drivers behind TSMC's success.

The European Union Chamber of Commerce in China (European Chamber) has called on Beijing to address the issues of price wars and over-intense competition in manufacturing. In a statement, the European Chamber notes that manufacturing production has outpaced the growth in consumption in China, leading to adverse competition, overstocked inventories, lower profit margins, underutilized assets, and mounting export pressures.

The integration of quantum computing mainframes with high-performance computing (HPC) platforms is driving the transformation and upgrading of key future industries, making it a major strategic focus for Taiwan's National Science and Technology Council (NSTC). According to sources, NSTC is highly likely to procure quantum computers from IBM Quantum, aiming to replicate the success story of IBM releasing PC-compatible standards in the 1980s—paving the way for the open Wintel PC empire—to now realize a similar model in quantum computing.

A one-two punch of artificial intelligence (AI) and electric vehicles (EVs) is sparking a new era of structural change across global industries. The surging demand for AI computing power is creating an urgent need for lightning-fast data transfer and a massive, reliable energy supply. At the same time, a flood of government incentives and private investment is supercharging growth in the EV market.

Nvidia and Intel have announced their collaboration to create custom CPUs and GPU-integrated system-on-chips (SoCs), as limitations posed by the size of GPUs and cooling requirements within standard ATX cases continue to hinder progress in AI applications on PCs.

A recent report from Anthropic reveals that up to 77% of enterprises deploy the Claude artificial intelligence platform primarily for automating tasks rather than fostering human-AI collaboration, intensifying concerns about AI-driven labor replacement. The findings stem from analysis of usage patterns across the Claude application programming interface (API) and chatbot.

A recent report by Anthropic reveals a significant disparity in artificial intelligence (AI) adoption, with high-income countries and skilled professionals gaining the most, while emerging markets such as India and Nigeria lag substantially behind. The findings suggest AI could exacerbate existing global economic inequalities.

Bret Taylor, chairman of OpenAI, has drawn parallels between the current artificial intelligence industry and the internet bubble period of the late 1990s, highlighting both the risks and opportunities it presents. Speaking on The Verge podcast, Taylor acknowledged the existence of a bubble in today's AI market but emphasized the technology's substantial long-term economic potential despite inevitable failures among some players.