AI chipmakers

Nvidia chief executive Jensen Huang has dismissed warnings from Anthropic that artificial intelligence could pose an existential threat, saying there is a '0% chance' AI destroys the world by 2030. His comments push back against recent predictions from AI lab leaders about catastrophic risks, highlighting the growing divide between chipmakers profiting from the AI boom and safety-focused researchers.

AT&S, the Austrian circuit board maker, is drawing attention for its role in producing substrates — the critical layers that connect advanced AI chips to the rest of a system. With demand for AI hardware surging, substrate supply has become a bottleneck, and companies like AT&S are racing to expand capacity to serve chipmakers and data centre builders.

AMD and Broadcom are drawing divided views from Wall Street analysts over which company is better positioned to win the next phase of the AI chip market. The two semiconductor firms are racing to supply custom and accelerative computing hardware as demand for AI infrastructure surges, and investors are split on which strategy will pay off.

Qualcomm announced two new smartphone chips as it intensifies its focus on on-device artificial intelligence. The launch comes as chipmakers race to position their processors for AI-driven mobile features. Despite the product news, Qualcomm shares edged lower in after-hours trading, suggesting investors were unimpressed or had already priced in the announcement.

Huawei has announced plans for two advanced AI chips targeted for 2027, drawing attention to Nvidia stock as investors weigh potential competition in the AI semiconductor market. Traders are watching how the Chinese chipmaker's roadmap could affect demand for Nvidia's processors, which currently dominate AI computing.

Nvidia CEO Jensen Huang says AI laboratories that cannot control the systems they build should be shut down. The remarks, reported by Gadget Review, add a prominent industry voice to the ongoing debate over AI safety and accountability. Huang's position suggests that the ability to manage and contain advanced AI models should be a baseline requirement for any lab developing them.

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.

Bruker is targeting a revenue rebound in the fourth quarter, citing growing demand from the semiconductor industry driven by artificial intelligence. The scientific instruments maker says AI-related chipmaking is boosting orders, and a strong Q4 is seen as critical to recovering its financial performance for the year.

Advanced Micro Devices is being examined for its progress in edge AI computing and life sciences applications, raising questions about what the chipmaker is demonstrating in these emerging markets beyond its core data centre and PC businesses. Commentators are weighing whether its processors and accelerators can win a real foothold in these specialised sectors and what that would mean for investors and competitors.