AI chips

Samsung plans to more than double production of its HBM4 and HBM4E high-bandwidth memory DRAM next year, according to industry sources cited by South Korean outlet Sedaily. The expansion targets booming demand from AI chip makers, as Samsung races rivals like SK hynix to supply next-generation memory for processors from Nvidia and other customers.

Chinese state media declared that the United States shares responsibility with China for managing artificial intelligence, positioning the two powers as joint stewards of the technology. The statement lands amid ongoing US-China tensions over AI development, chip exports and safety rules, and will fuel debate about whether rivals can cooperate on governing a technology both are racing to dominate.

AT&S, the Austrian substrate manufacturer, is featured in a new report on the growing competition to produce advanced IC substrates, the critical layer that connects AI chips to circuit boards. The technology is becoming a bottleneck as demand for AI accelerators surges, and companies and governments are racing to expand capacity and secure supply of these components.

Huawei's Ascend chips have reportedly overtaken Nvidia in China's artificial intelligence chip market. The development reflects the impact of US export restrictions that have limited Nvidia's access to Chinese customers, allowing domestic alternatives like Huawei's Ascend processors to gain ground among Chinese companies building AI infrastructure. It marks a significant shift in the competitive balance of the AI hardware market.

Big Tech companies are rapidly expanding the use of guarantees to back debt financing for AI datacentres and chips, issuing up to $300bn in commitments in under a year while recording little of that exposure on their balance sheets. The practice is drawing scrutiny from analysts who warn it obscures the true scale of tech's AI spending and financial risk.

Wall Street analysts are divided over whether AMD or Broadcom will come out ahead in the next phase of the AI chip market. The debate centers on how each company is positioned to capture growth as demand for artificial intelligence hardware broadens beyond the current generation of accelerators, with investors weighing their differing strategies and customer bases.

New AI chips are roughly ten times more energy efficient than previous generations, but total electricity demand from data centers keeps rising sharply. The paradox driving discussion is that efficiency gains are being overwhelmed by explosive growth in AI workloads, as more powerful models and wider deployment mean operators keep adding servers, pushing overall power consumption higher despite better hardware.

ByteDance reportedly obtained access to more than 2,000 Nvidia B200 AI chips through Nscale's data center in Norway, with ByteDance's Singaporean subsidiary Spring contributing 73% of the UK neocloud's 2025 revenue, according to a filing. The revelation has drawn scrutiny over how a Chinese company accessed advanced US chips despite export controls, highlighting loopholes in restrictions via cloud services and offshore data centers.

Chinese AI startup Moonshot is reportedly seeking access to additional Nvidia Blackwell chips, according to a report circulating this week. The news comes just a week after a Trump administration official flagged an export control breach involving Nvidia's advanced chips. The development highlights continuing tensions over US restrictions on selling cutting-edge semiconductors to Chinese companies, a dispute that has become a central flashpoint in the technology rivalry between Washington and Beijing.

Data centers, power plants and chip facilities for artificial intelligence are being built across the United States at a pace that could surpass any previous infrastructure boom in the country's history. Analysts point to massive capital commitments from tech companies racing to secure computing power, raising questions about electricity demand, grid strain and whether the investment will pay off.

Huawei has announced plans for two advanced AI chips slated for 2027, putting Nvidia stock in focus as investors weigh rising Chinese competition in the AI semiconductor market. Traders are watching how Huawei's roadmap could challenge Nvidia's dominance in AI accelerators and what it means for US export restrictions and Nvidia's China business.

Morningstar argues that the popular claim that artificial intelligence spending is driving inflation deserves a more nuanced look. The piece pushes back on the simple narrative that data center buildouts and AI investment are broadly pushing up consumer prices, suggesting the picture is more complicated than headlines suggest. It comes amid ongoing debate over how much AI infrastructure spending is affecting energy demand, chip costs and the wider economy.

Thieves made off with 18 tons of sand in what reports describe as a hunt for Nvidia AI chips, since high-grade sand is a raw material used in semiconductor manufacturing. The unusual heist highlights how demand for AI hardware has put pressure on supply chains down to basic materials, with commentators noting the lengths to which those seeking chip-related resources will go.

US contract chipmaker GlobalFoundries says demand for Chinese optical modules is strengthening as data centre construction accelerates. The company is expanding its footprint in China to serve domestic clients, despite ongoing US-China technology restrictions. Analysts see the move as a sign that semiconductor supply chains remain tied to Chinese infrastructure growth even amid tightening export controls.

NVIDIA's GTC conference is in the news as the company's flagship event for announcing advances in AI chips, software and data centre technology. The gathering typically draws developers, researchers and investors looking for updates on NVIDIA's roadmap and its central role in the global artificial intelligence boom.

Qualcomm has announced two new flagship smartphone chips, the Snapdragon 8 Elite Gen 6 and the 8 Elite Extreme Gen 6. The company describes both as flagship processors, with differences between them limited mainly to improved AI processing, video capture, and gaming performance. Tech watchers are weighing what the modest spec changes mean for next year's premium Android phones.

Qualcomm's chief executive says the smartphone will remain the central device in people's digital lives, pushing back against claims that wearables, smart glasses or AI gadgets could replace it. The comments position the phone as the hub that other devices connect to, with Qualcomm betting its chip business on that continuing role.

A Brookings Institution researcher argues that the current AI buildout will amount to the largest infrastructure investment bet in United States history, surpassing previous eras of massive spending on railroads, highways, and telecommunications. The claim underscores the enormous scale of capital flowing into data centers, chips, and energy capacity to support artificial intelligence development.

Broadcom's stock is trading at roughly the same level where it ended 2025, even though the company's earnings have grown about 43% since then. The Motley Fool asks whether the flat share price makes the AI-chip and networking giant a buy, arguing that significantly higher earnings at the same valuation could signal upside. Investors are weighing whether Broadcom's recent stagnation reflects market caution or a buying opportunity.