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.

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.

Huawei's Ascend processors have reportedly overtaken Nvidia in China's market for AI chips, marking a significant shift in the country's semiconductor landscape. The claim suggests Chinese firms are increasingly turning to domestic hardware as US export restrictions limit Nvidia's access to the market, handing Huawei a lead in powering China's artificial intelligence buildout.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

CoreWeave, the GPU-focused cloud provider, is shifting from capitalising on shortages of AI chips to proving it can build a lasting, sustainable cloud business. Commentary centres on whether the company can convert its early advantage in scarce Nvidia GPUs into durable revenue as competition intensifies and chip supply improves. Analysts are watching its contracts, margins and ability to diversify beyond raw computing power.

Barron's reports that SpaceX is purchasing a significant number of Nvidia AI chips, tying Elon Musk's space company to the booming demand for artificial intelligence computing hardware. The report follows widespread interest in how much AI compute Musk's ventures are securing, as Nvidia's GPUs remain the most sought-after chips in the industry. Investors are watching Nvidia's stock closely as major buyers like SpaceX add to already heavy demand.

TSMC has reportedly begun pilot production of chips on its A14 node, a 1.4nm-class process, with volume production targeted for 2028. The A14 line would succeed the current 2nm generation and keep the Taiwanese foundry ahead of rivals Samsung and Intel in the race for ever-smaller transistor sizes, with major customers such as Apple expected among early adopters.

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.