AI chip

Policy experts are expressing concern about Nvidia's artificial intelligence chip business in China and the company's apparent influence over the Trump administration. The worries center on whether US-made advanced chips reaching China could pose national security risks, and whether Nvidia's lobbying may be softening Washington's export restrictions. The debate highlights growing tension between commercial interests and security policy in the AI sector.

AMD has reportedly spent $8.2 billion to bring on Fei-Fei-Fei Li, the Stanford professor widely known as the 'Godmother of AI'. The move signals AMD's push to strengthen its position in artificial intelligence against rivals like Nvidia. Details on her exact role and the structure of the deal remain limited, but the scale of the investment is drawing widespread attention across the tech and finance world.

Chipmaker Advanced Micro Devices has agreed to acquire World Labs, the artificial intelligence startup founded by AI pioneer Fei-Fei Li, in a deal valued at $8.2 billion. The acquisition marks a major move by AMD to expand beyond chips into AI technology, and news of the agreement with the company led by one of the field's most prominent researchers is drawing wide attention in business and tech circles.

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 is reportedly exploring glass substrates as a packaging material for its AI chips, a shift that could reshape how advanced processors are manufactured. Glass packaging promises better thermal stability and allows denser chip connections than traditional organic substrates, which matters as AI chips grow larger and hotter. The move could affect suppliers across the semiconductor packaging chain.

Nvidia has released an open-source platform aimed at improving the safety of AI agents, according to a report by SC Media. The move gives developers tools to test and constrain autonomous AI systems as companies increasingly deploy agents that act without direct human supervision. It also positions Nvidia, already dominant in AI chips, as a player in AI governance tooling.

Major technology companies are rapidly expanding their 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 because it keeps large contingent liabilities off the books, echoing concerns about hidden leverage building up across the AI infrastructure boom.

Nvidia has announced a watchdog chip designed to sit alongside every AI agent, monitoring its behaviour in real time and stepping in when the agent acts outside its intended limits. The move positions Nvidia to sell safety hardware as autonomous AI systems spread through industry, and it is drawing debate among developers about oversight, cost, and who controls the safeguards.

A new filing shows ByteDance gained access to more than 2,000 Nvidia B200 chips through Nscale's data center in Norway, reportedly circumventing US export restrictions on advanced chips bound for China. The same filing reveals that a Singaporean subsidiary, Spring, contributed 73% of the UK neocloud provider's 2025 revenue, drawing scrutiny to how Chinese firms obtain restricted AI hardware via third countries.

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.

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.

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.

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.

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.

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.

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.

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.

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.

NVIDIA has introduced an in-chip watchdog feature designed to monitor and constrain rogue AI agents running on its hardware, with roughly 100 companies reportedly joining the initiative. The move reflects growing industry concern that autonomous AI agents could act unpredictably or beyond their intended scope, prompting silicon-level safety and monitoring mechanisms.

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.

Qualcomm has announced two new flagship smartphone processors: the Snapdragon 8 Elite Gen 6 and, for the first time alongside it, an 8 Elite Extreme Gen 6. The company describes both as flagship chips, with the differences between them relatively minor, mainly improved AI processing, video capture and gaming performance. Tech watchers are comparing the two tiers and what the changes mean for upcoming flagship phones.

Nvidia has brought together a group of partners including Anthropic and Arm for an AI security platform. The initiative suggests Nvidia is positioning itself at the centre of safety and security standards for artificial intelligence infrastructure, working alongside leading AI and chip companies. Details on the platform's scope and rollout were not immediately available.

The Chips Joint Undertaking has opened calls worth €80 million to advance European AI computing capabilities. The funding aims to strengthen the EU's semiconductor and AI hardware base, supporting research and innovation in chips designed for artificial intelligence workloads as Europe seeks greater technological autonomy.

AMD is reported to be acquiring World Labs, the spatial intelligence AI startup founded by Stanford professor Fei-Fei Li, in a deal valued at $8.2 billion. The reported acquisition would mark one of the largest AI company purchases to date and deepen AMD's push into artificial intelligence beyond chips. Details on timing and terms have not yet been confirmed by either company.

ASE Technology Holding, the Taiwan-based chip packaging and testing giant, is the subject of fresh investor discussion over whether it is becoming a larger player in AI semiconductors. The question centers on whether advanced packaging demand driven by artificial intelligence chips is boosting the company's business and outlook.