AI accelerators

TSMC is shaping the economics of the entire AI chip industry, as the dominant contract manufacturer for leading chip designers. A report argues the Taiwan-based foundry effectively dictates what AI chip companies must pay for manufacturing capacity. With demand for AI accelerators surging, TSMC's pricing power and advanced process nodes give it leverage over customers like Nvidia, AMD and countless startups racing to ship AI hardware.

Nvidia has released a new software platform designed to prevent AI agents from acting improperly, adding safeguards around autonomous systems that carry out tasks on users' behalf. The move addresses growing concerns that agentic AI can take unintended or harmful actions without oversight, as companies increasingly deploy such tools in business workflows.

Big technology companies are rapidly expanding their use of guarantees to back debt for AI data centres and chips, issuing up to $300bn in commitments in under a year. Much of this exposure is recorded off their balance sheets, raising questions about hidden financial risk as the AI investment boom accelerates.

Nvidia has released an open-source platform aimed at improving the safety of AI agents, the autonomous software systems that perform tasks on users' behalf. The announcement, reported by SC Media, is drawing attention from the cybersecurity and enterprise communities, who see it as a step toward making agent-based AI systems more trustworthy and controllable as adoption accelerates.

AMD has agreed to acquire World Labs, the AI startup founded by Fei-Fei Li, in a deal valued at $8.2 billion, according to a Wall Street Journal report. The acquisition would give the chipmaker access to World Labs' spatial intelligence technology and its team, deepening AMD's push into artificial intelligence beyond processors and accelerators.

Nvidia has assembled a group of partners including AI lab Anthropic and chip designer Arm for a new AI security platform. The coalition suggests Nvidia is extending beyond hardware into security tooling as AI deployment accelerates. Details about the platform's scope and the exact roles of each partner remain limited.

Nvidia has launched an open-source framework aimed at improving the security of artificial intelligence systems. The framework is intended to help developers identify and address vulnerabilities in AI applications. Details on its specific features and adoption remain limited so far, but the move aligns with growing industry attention on AI safety and reliability as deployment of the technology accelerates worldwide.

A new report from the Genesis Mission examines how artificial intelligence could accelerate research in fusion energy and biological design. The analysis looks at ways AI tools can speed up modeling and discovery in these complex scientific fields, highlighting potential applications in energy development and engineered biological systems.

Analysts are examining how the ongoing war has accelerated strategic technology cooperation between the United States and Gulf states, particularly in artificial intelligence. The argument is that conflict-driven geopolitical realignment is pushing Washington and Gulf capitals toward deeper partnerships in AI investment, data infrastructure and tech diplomacy, turning the region into an increasingly important arena of US tech strategy.

Retail investors are tracking three AI robotics stocks following a deal involving World Labs, the spatial intelligence startup founded by Fei-Fei Li. Coverage highlights which listed companies stand to benefit from growing investment in AI-driven robotics, with traders weighing exposure to the sector as deals and funding in the space accelerate.

Education technology coverage is highlighting the less visible consequences of students' growing reliance on AI tools, focusing on mental health effects, unequal access between students, and risks of overuse or misuse. The reporting suggests schools need to look beyond academic benefits and address wellbeing and equity concerns as AI becomes embedded in everyday student life.

New coverage highlights how artificial intelligence is transforming the semiconductor sector, driving demand for advanced chips and the specialized materials needed to produce them. Commentators point to surging investment in AI accelerators and knock-on effects across the supply chain, as chipmakers and material suppliers reposition to serve booming AI workloads. Analysts say the shift is redrawing competitive lines across the global industry.