At WIRED's Big Interview event in San Francisco, AMD CEO Lisa Su rejected claims that the technology sector is drifting into an AI bubble. Pressed on whether the industry is in bubble territory, she responded, "Emphatically, from my perspective, no."

Moore Threads, billed as China's first domestic GPU stock, debuted on 5 December with a near fivefold jump from its issue price, becoming the STAR Market's largest IPO in 2025. The company issued 70 million shares at CNY114.28 each, equal to 14.89% of total equity, and expects net proceeds of CNY7.576 billion (approx. US$1.07 billion) to accelerate AI chip development.

After meeting US President Donald Trump on December 3, 2025, Nvidia CEO Jensen Huang expressed uncertainty about whether China would accept the H200 AI chip if the US were to loosen its sales restrictions.

Nvidia has made another major move by investing US$2 billion in Synopsys, one of the world's largest chip design and engineering software companies. The investment will expand Nvidia's reach into software, chip design automation, and AI-driven engineering.

Samsung, on December 3, confirmed its next-generation Exynos 2600 mobile processor in an official teaser video, signaling a renewed commitment to in-house silicon for the upcoming Galaxy S26 smartphone lineup despite lingering consumer frustration over performance disparities in international markets.

In an unusual move, Samsung Electronics has released a teaser video for its next-generation mobile application processor, the Exynos 2600, before the chip officially hits the market. The announcement signals Samsung's growing confidence in its chipmaking capabilities, with leaked benchmark data suggesting that the Exynos 2600 could rival the latest processors from Qualcomm and Apple.

Taiwan's Edom Technology, a leading distributor of semiconductor and electronic components and a provider of integrated platform solutions for OEMs and ODMs, hosted a landmark seminar on December 3, highlighting the next generation of physical artificial intelligence (AI). Focused on Nvidia's newly released Jetson Thor platform, the event explored how advanced AI can be embedded directly into autonomous machines to deliver real-time decision-making and operational efficiency.

Nvidia's recent acquisition of a stake in Synopsys has stirred debate about the potential impact on the UALink Consortium, an industry group focused on establishing open standards for AI accelerator interconnects. The investment follows Nvidia's attempt to strengthen its position amid growing competition from ASIC and chip suppliers like AMD and Intel Corporation.

For years, the artificial intelligence chip market has been dominated by a singular narrative: Nvidia's GPUs reigning supreme as the engines powering the AI revolution. But as cloud giants confront mounting costs and seek greater control over their computing destinies, a quieter transformation has been taking shape. This shift could fundamentally alter the balance of power in the semiconductor industry.

As the semiconductor industry navigates an increasingly complex competitive landscape driven by artificial intelligence, the strategies companies employ to gain market advantage are evolving rapidly. While traditional horizontal consolidation remains a factor, a new wave of vertical integration is reshaping power dynamics among the industry's leading players.

Intel's decision to retain its networking unit marks a significant shift in CEO Lip-Bu Tan's turnaround strategy, signaling a move away from asset sales as fresh government and corporate investments strengthen the company's finances. The reversal underscores Intel's bet that tighter integration will be critical to regaining competitiveness in AI and data infrastructure.

Innoscience said at midday on December 3 via the Hong Kong Stock Exchange that it had prevailed in its US patent dispute with Infineon, marking a decisive turn in a long-running GaN intellectual property battle. The US International Trade Commission delivered the key ruling, closing a case that had drawn industry-wide attention.

AMD and Hewlett Packard Enterprise (HPE) are expanding their long-standing partnership with a new plan to deliver open, rack-scale infrastructure for the AI era. HPE becomes one of the first adopters of AMD's "Helios" architecture, a full-stack, Ethernet-based platform built to streamline and accelerate the deployment of large AI clusters.

Pat Gelsinger describes himself as a born-again Christian who lives "at the intersection of faith and technology." For the former Intel CEO, reviving American semiconductor manufacturing isn't just a business strategy—it's a mission he believes he was called to fulfill. This conviction has driven him to donate nearly half of his income to charity and maintain strict self-discipline, waking at 4 a.m. each morning. But the same unwavering sense of purpose that guides his personal life now shapes his vision for the industry, one that fundamentally challenges how foreign companies like TSMC are investing in the US.

Following Nvidia CEO Jensen Huang's commitment to supply 260,000 GPUs to South Korea, the government has received its first shipment of approximately 13,000 units, including the latest B200 GPUs and a range of earlier-generation models.

Marvell's planned acquisition of Celestial AI signals a major shift toward all-optical interconnects in AI data centers, with the company positioning itself to capture a rapidly expanding market driven by multi-rack, high-bandwidth system architectures.

In a bid to maintain its dominance in cloud computing and challenge Nvidia's chokehold on the artificial intelligence (AI) chip market, Amazon Web Services (AWS) used its annual re:Invent conference to reveal a torrent of new products, headlined by its next-generation custom silicon and a calculated partnership with its main rival.

Marvell Technology reported strong third-quarter results driven by accelerating demand for AI data center products, with revenue, profit, and key business segments posting sharp year-over-year gains. The company also raised its outlook for next year and announced the acquisition of Celestial AI to strengthen its position in next-generation data center infrastructure.

Amid rising demand for Google's TPU chips, MediaTek has emerged as a key ASIC supplier with confirmed orders for its V7e product line set to begin shipping in the second half of 2026. Market sources indicate that MediaTek expects shipments of 300,000 to 400,000 units next year, surpassing earlier conservative estimates and positioning the company to reach its US$1 billion revenue target from this segment. Looking at the full V7e product cycle, total shipments could reach at least 2 million units, with peak volume anticipated in 2027.

Nvidia's US$2 billion investment in Synopsys marks a pivotal attempt to extend CUDA and GPU-accelerated computing from AI training into the core of industrial and semiconductor engineering, tightening its grip on the entire AI server ecosystem, as ASIC servers, particularly TPU-based, are challenging Nvidia.

US AI company PaleBlueDot AI is reportedly seeking a US$300 million loan to help Chinese social media platform RedNote (Xiaohongshu) use Nvidia's high-end AI chips through a data center located in Tokyo.

India will invest INR45 billion (approx. US$500 million) to modernise and expand the Semiconductor Laboratory (SCL) in Mohali, India's Union Electronics and IT Minister Ashwini Vaishnaw said during a review visit. The minister reaffirmed that SCL would "not be privatized" and would instead undergo a major upgrade aimed at significantly boosting domestic chip production and strengthening India's strategic semiconductor capabilities.

Following the US ban on sales of Nvidia's high-end chips to China, expectations have grown that Baidu could rapidly emerge as a new force in China's AI chip sector and become the country's second major source of domestic compute capacity after Huawei.