AI chips

Austrian semiconductor substrate maker AT&S is drawing attention for its role in producing the advanced substrates that sit beneath AI chips, a critical and supply-constrained layer of the artificial intelligence hardware supply chain. As demand for AI processors surges, chipmakers and governments are racing to secure substrate capacity, putting AT&S at the center of the conversation about AI supply bottlenecks.

Taiwan's dominance in semiconductor manufacturing, led by TSMC, is being described as a 'silicon shield' that deters Chinese aggression while making the island indispensable to the United States in the AI era. As artificial intelligence drives global demand for advanced chips, control over Taiwan's chip industry has become central to both its security and US strategic interests, intensifying debate over cross-strait tensions.

The United States and China have struck a trade agreement reportedly worth $30 billion, covering American purchases of Chinese chips and toys alongside tariff adjustments. The deal also establishes an AI safety hotline between the two governments, a step aimed at reducing risks around advanced artificial intelligence. The accord signals a partial easing of tensions in the ongoing trade conflict between Washington and Beijing.

Huawei's Ascend chips have overtaken Nvidia in China's AI chip market, according to a new report. The shift reflects the impact of US export controls that have restricted Nvidia's access to Chinese customers, pushing domestic buyers toward Huawei's homegrown alternatives. Analysts see it as a milestone for China's semiconductor self-sufficiency push, though questions remain about Ascend's performance and production capacity at scale.

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.

AMD and Broadcom are at the center of a divide among Wall Street analysts over which company is best positioned for the next phase of the AI chip market. Investors are weighing each firm's roadmap and exposure to artificial intelligence spending, with no consensus on which stock holds the stronger position as demand for AI accelerators keeps reshaping the semiconductor industry.

Morningstar examines whether the AI boom is driving inflation and argues the picture is more complicated than headlines suggest. The analysis weighs AI's role in pushing up demand for energy, chips and data-center construction against countervailing factors like productivity gains and falling computing costs, concluding that AI's inflationary impact is real but limited and uneven across the economy.

ByteDance, the Chinese parent company of TikTok, gained access to more than 2,000 Nvidia B200 chips through Nscale's data center in Norway, according to a new filing. A Singaporean subsidiary called Spring accounted for 73% of the UK-based neocloud's 2025 revenue. The report is drawing attention because the US restricts exports of advanced Nvidia AI chips to China, raising questions about how US-made hardware reached a Chinese firm indirectly.

Chinese AI firm Moonshot is reportedly seeking access to additional Nvidia Blackwell chips, according to a report circulating this week. The claim lands just a week after a Trump administration official flagged an alleged breach of US export controls on advanced Nvidia processors. The episode keeps a spotlight on Washington's restrictions on high-end AI chips reaching China and enforcement questions around them.

Qualcomm has announced two new smartphone chips as it deepens its push into on-device artificial intelligence, positioning itself against rivals in the mobile processor market. Despite the product launch, the company's stock edged lower in after-hours trading, suggesting investors were not immediately impressed or had expected more from the announcement.

Huawei has announced two advanced AI chips slated for 2027, putting the spotlight on Nvidia as investors weigh fresh competition in the AI semiconductor market. Traders are watching how the Chinese chipmaker's roadmap could challenge Nvidia's dominance in AI accelerators, a market it has led amid US-China tech tensions.

Reporting from Taipei frames Taiwan as the potential deciding factor in the escalating technology rivalry between the United States and China. Taiwan's tech industry produces more than 90 percent of the world's most advanced semiconductors, the chips that power AI servers, giving the island outsized strategic importance as both superpowers compete for dominance in artificial intelligence.

Google has announced Project Suncatcher, a plan to test its AI chips in space for the first time. The initiative points to the company exploring whether orbiting hardware could support future AI computing, as demand for processing power strains terrestrial data centres. The announcement has drawn attention across tech and semiconductor coverage worldwide.

India's Finance Minister Nirmala Sitharaman has urged increased investment in artificial intelligence and semiconductor manufacturing. She positioned the sectors as key to India's economic and technological ambitions, aligning with the government's push to attract chip fabrication projects and build AI capacity. The remarks come as countries compete for investment in these strategic industries.

Google is preparing to test its AI chips in space, according to a report by The Brussels Times. The project would see the company's custom semiconductor hardware evaluated in orbital conditions rather than solely in terrestrial data centres. Further details on timing, partners or the specific chips involved have not been disclosed, and there has been no independent confirmation of the programme's scope so far.

NVIDIA's GPU Technology Conference (GTC) is in the news. GTC is the company's flagship event, where it typically unveils new chips, software and AI-related announcements for developers and partners. Coverage is currently limited to mentions of the conference itself, with no specific announcement details available.

Huawei has unveiled its Atlas 960E AI computing system with 4,096 chips, not the 15,488 it previously announced. The discrepancy has raised questions about the company's stated specifications for the system, which is part of Huawei's push to build domestic AI computing power amid US export restrictions on advanced semiconductors.

Reports suggest Apple may be considering a return to the server market, a business it exited years ago. The move would put the company in direct competition with established server and data-center players amid growing demand for AI infrastructure. Observers are watching whether Apple's chip ambitions could translate into server hardware, reshuffling the competitive landscape among major technology vendors.

Qualcomm has announced the Snapdragon 8 Elite Gen 6, joined for the first time by a higher-tier Snapdragon 8 Elite Extreme Gen 6. The company positions both as flagship smartphone chips, with the differences between them described as relatively minor — mainly improved AI processing, video capture and gaming performance. Coverage so far focuses on what the split into two flagship tiers means for upcoming premium Android phones.

Microsoft announced expanded Azure transparency reporting, new Surface devices and its own custom AI chips, strengthening its cloud and hardware lineup. The company is positioning the chips to reduce reliance on outside suppliers and to lower costs for AI workloads running across its data centres. Coverage focuses on how the moves fit Microsoft's broader push into artificial intelligence infrastructure alongside rivals such as Amazon, Google and Nvidia.

Micron is reporting its fiscal first-quarter 2026 earnings, with attention focused on whether a boost from Nvidia's latest chip launch will reach the memory maker later than expected. Analysts and investors are watching Micron's guidance for signs that demand tied to Nvidia's new chips may take longer to translate into sales, a factor that could shape sentiment across the semiconductor sector.

Korean chip giants Samsung Electronics and SK Hynix are moving into co-packaged optics (CPO) technology, which links AI semiconductors using optical connections to boost data transfer speeds and energy efficiency. As AI computing demand surges, Korean media describe the shift as a new race in which chips compete 'at the speed of light', alongside global players developing similar interconnect solutions.

Jensen Huang has reportedly committed to doubling chip supply, a move that would lock up roughly 37% of the world's high-bandwidth memory (HBM) output for 2026. The pledge underscores Nvidia's aggressive push to secure memory for its AI accelerators amid shortages, leaving rival chipmakers competing for the remaining HBM capacity from suppliers like SK Hynix, Samsung and Micron.

Google is reportedly testing AI chips for what it calls 'fractionalized' space data centers, an approach that would split computing workloads across satellite-based infrastructure rather than relying solely on terrestrial facilities. The idea points to a growing push among tech giants to move data center capacity into orbit, where solar power and cooling are more abundant. Details on the testing and timeline remain limited.

Micron is being discussed as a key beneficiary of the AI boom, with attention focused on its memory chips used in AI data centres. The discussion centres on investment insights into whether the company's HBM and DRAM business can keep growing as demand for AI hardware accelerates.