AI chip

AMD has agreed to an $8.2 billion deal to bring in Fei-Fei Li, the Stanford AI researcher widely known as the 'Godmother of AI'. The move signals AMD's push to compete more aggressively with Nvidia in artificial intelligence chips and computing. Analysts are weighing what the deal means for the AI hardware race.

CNBC's Daily Open newsletter highlights a growing split in the artificial intelligence world: some of the technology's own creators are publicly warning about AI's dangers, while companies continue investing heavily in data centres, chips and other infrastructure to expand it. The piece frames the tension between safety concerns and the commercial race as a defining issue in the sector right now.

Nvidia is developing a watchdog chip designed to sit alongside every AI agent, monitoring its behaviour and preventing harmful or unauthorised actions. The idea reflects growing concern in the tech industry about autonomous AI systems acting without adequate oversight. Discussion centres on whether hardware-level safety mechanisms can keep pace with rapidly deployed agentic AI, and whether Nvidia's move will become an industry standard for AI safety.

A filing shows ByteDance, TikTok's Chinese parent company, gained access to more than 2,000 Nvidia B200 AI chips through Nscale's data center in Norway. A Singaporean subsidiary, Spring, contributed 73% of the UK neocloud provider Nscale's 2025 revenue. The arrangement highlights how US export restrictions on advanced chips to China can be circumvented through cloud capacity hosted in third countries, raising questions among observers about enforcement of AI hardware controls.

Major technology companies are rapidly expanding the use of guarantees to back debt financing for AI datacentres and chips, issuing up to $300 billion in commitments in less than a year, according to analysis shared by economist Adam Tooze. The commitments largely stay off the companies' balance sheets, raising questions about hidden leverage in the AI buildout and how much risk the industry is actually carrying.

Technology analysts are voicing concern about Nvidia's artificial intelligence chip business in China and the company's potential influence over the Trump administration. The worry centers on how sales of advanced AI chips to Chinese customers may affect US national security and trade policy, and whether Nvidia's economic weight gives it unusual leverage in Washington's policymaking.

Nvidia CEO Jensen Huang has described AI distillation — the practice of training smaller models to mimic larger ones — as 'competition,' in remarks reported by CNBC in the context of ongoing US-China AI rivalry. His framing is being read as a response to concerns that Chinese firms are leveraging distillation techniques to close the gap with leading American AI models.

China is reportedly weighing whether to allow ByteDance and Alibaba to purchase Nvidia's newest AI chips. The decision would mark a potential easing of restrictions on access to advanced US semiconductor technology, and is drawing attention given the stakes for artificial intelligence development, US-China trade tensions, and Nvidia's large Chinese customer base.

Nvidia is reportedly pursuing glass substrate packaging for its AI chips, a manufacturing shift that could improve performance and density as conventional materials hit physical limits. The move could reshape how advanced semiconductors are packaged and give Nvidia an edge in the race to power large AI systems, though details of timing and partners remain unclear.

Reports say China could permit its major technology companies to purchase new Nvidia chips, a shift in its stance on the US chipmaker's products. The move would matter for both Chinese AI development and Nvidia's access to a key market, though details on which chips and under what conditions remain unclear.

NVIDIA's GTC conference is in the spotlight as the company's flagship event for announcing advances in AI computing, chips and software. Attendees and industry watchers are looking to the keynote for updates on next-generation GPUs, data center products and the broader AI buildout that has made NVIDIA central to the semiconductor sector.

VSMC, the joint venture between Vanguard International Semiconductor and TSMC, is building a 300mm wafer fab in Singapore, framed as a strategic bet on the specialty chips underpinning AI infrastructure. Coverage highlights the facility's role in easing capacity tightness for mature and specialty nodes, as AI demand pulls in power management, controller and analog chips alongside leading-edge processors.

Chipmaker AMD has agreed to acquire World Labs, the AI startup founded by Stanford professor and AI pioneer Fei-Fei Li, in a deal valued at $8.2 billion. The acquisition, reported by Bloomberg and the Japan Times, is a major move by AMD to strengthen its position in artificial intelligence as competition with Nvidia and other chip and AI companies intensifies.

TSMC is increasingly dictating pricing across the AI chip industry, as the Taiwanese foundry remains the dominant manufacturer of advanced chips for companies like Nvidia, AMD and countless AI startups. With demand for leading-edge fabrication capacity outstripping supply, TSMC's pricing power shapes costs and margins across the entire AI hardware ecosystem.

The Chips Joint Undertaking has launched funding worth €80 million to support the development of AI chips and compute systems in Europe. The call aims to strengthen European capabilities in semiconductor design and computing hardware for artificial intelligence, backing research and innovation projects across the bloc. The move is part of broader efforts to reduce reliance on foreign chip suppliers.

Qualcomm has announced two new flagship phone chips, the Snapdragon 8 Elite Gen 6 and, for the first time alongside it, the Snapdragon 8 Elite Extreme Gen 6. The company describes both as flagships, with differences between them relatively minor: improvements are concentrated in AI processing, video capture, and gaming performance rather than a broad spec overhaul.

China is reportedly considering allowing imports of NVIDIA GPUs as it seeks to accelerate its artificial intelligence development. The report, carried by South Korean outlet Chosun Ilbo, suggests a possible shift in Beijing's approach to securing advanced chips for its AI sector. Further details on the scope or timing of any decision have not been confirmed.

Chipmaker Cerebras has agreed to supply 100 megawatts worth of AI processors to Gimlet Labs, a cloud computing startup. The deal marks a significant supply commitment for the emerging AI infrastructure company and highlights growing demand for alternative AI compute providers beyond Nvidia. The reported scale of the agreement underscores how power-hungry AI data center buildouts have become.

AMD has acquired World Labs, an artificial intelligence startup, in a deal valued at 8.2 billion dollars. The purchase signals AMD's continued push to expand its AI capabilities beyond chips, though details about the transaction terms and strategic plans remain limited. The size of the deal makes it one of the larger AI acquisitions of the period.

Nvidia wants to build a watchdog function directly into its chips to keep AI agents on a short leash. The feature would monitor and control the actions of autonomous AI systems running on Nvidia hardware, limiting what they can do without oversight. It signals Nvidia's push to make safety enforcement a hardware-level feature as AI agents move into wider commercial use.

Alibaba is reportedly close to receiving Chinese approval to purchase Nvidia's RTX PRO 5500 chips for use in its data centres. The move would ease some of the pressure on Chinese tech firms facing restrictions on advanced AI hardware. Investors are watching the approval as a signal of how US-China tensions over semiconductors may affect Nvidia's access to the Chinese market.

Synopsys has introduced AgentEngineer, an 'Autopilot' platform designed to develop chips autonomously using AI agents. The company says the platform will reach general availability by the end of 2026. The announcement is drawing attention in the semiconductor industry as chipmakers look to AI to speed up increasingly complex and costly chip design workflows.

Reports indicate China may permit ByteDance and Alibaba to purchase Nvidia's RTX PRO 5500 chips, a possible easing of restrictions on access to advanced Nvidia hardware. The news drew attention because it concerns which Chinese tech giants can obtain powerful AI-capable chips amid ongoing US-China tensions over semiconductor export controls. Details on timing and conditions of any approval were not provided.

Memory marketplace BuySellRam has compared twenty forecasts published over the past year on when the shortage of DRAM and NAND chips will end. It finds predictions vary widely, shaped by AI-driven demand, wafer capacity constraints, new fab construction and shifts in memory technology, leaving the duration of supply constraints highly uncertain.

Memory module maker Netlist has asked US authorities to ban imports of Micron chips used in AI computing systems built for Google and Nvidia, escalating a long-running patent dispute between the two companies. The request, if granted, could disrupt supply chains for high-performance memory components central to the AI boom. Industry watchers are tracking whether trade officials will intervene in a case with wide implications for the semiconductor sector.

Southeast Asia is turning to small modular reactors as demand for reliable electricity surges alongside its growing semiconductor and artificial intelligence industries. Thailand is among the countries weighing the technology, with chip manufacturing requiring stable power supplies that renewable sources alone have struggled to guarantee, prompting a regional rethink on nuclear energy.