Nvidia's new AI agent security platform puts hardware at the centre of agent control, but it also forces enterprises to weigh stronger protection against higher infrastructure costs and deeper dependence on Nvidia's stack.
Marvell is reportedly in advanced talks to acquire Lumentum, a major laser supplier, in a deal that could be announced as early as next week if no other technology giant intervenes. Based on Lumentum's current market capitalization of approximately US$83 billion, the transaction would be Marvell's largest acquisition ever.
Oracle will offer cloud services powered by Cerebras' AI computing systems in its cloud data centers starting in 2027, giving the wafer-scale chipmaker another major cloud customer. Although the companies did not disclose Oracle's planned Cerebras hardware purchases, the deal highlights the shift toward diversified AI compute resources as inference demand accelerates.
Nvidia CEO Jensen Huang's visit to Kazakhstan highlights a widening contest over AI computing capacity, as Europe seeks alternatives to infrastructure concentrated in the US and Asia. Kazakhstan, with 21 million people, is developing data centers and pursuing Nvidia partnerships that could position it as a supplier to Europe.
China's luxury car market is undergoing a major brand reshuffle. BMW, Mercedes-Benz, Audi, and Porsche all recorded significant sales or delivery declines in China in the third quarter of 2026, while domestic automakers continued moving upmarket with new energy vehicles (NEVs), smart cockpits, and driver-assistance technology.
Google is now supplying its tensor processing units (TPUs) to companies it competes with, including Anthropic and Apple. On Alphabet's third-quarter earnings call, management gave two reasons: outside customers keep the chips competitive, and outside volume lowers the cost of every chip Google uses itself. However, it would not say how much money the business makes.
Concerns over a potential AI bubble are intensifying. From large language models (LLMs) and AI data centers to humanoid robots, investors are increasingly questioning when massive capital investments will translate into corresponding revenue and profits.
Nvidia has won a CPU supply order from AI startup Modal, challenging Intel and AMD in the server CPU market as it expands beyond GPUs into general-purpose computing. Although Modal's annual revenue is below US$1 billion, and neither the order's value nor its deployment scale has been disclosed, the deal underscores a broader shift in AI infrastructure competition toward full-stack system integration.
As AI data centers accelerate construction, supply-chain competition is expanding beyond servers and fully integrated racks to the integrated delivery of computing modules and site engineering. Nvidia unveiled its DSX POD reference design based on the Vera Rubin platform at GTC Berlin, with partners installing, integrating, and validating equipment inside containerized modules before transporting them to customer sites for final assembly and operation.
Tesla unveiled its new Roadster, equipped with rocket-style thrusters, on October 15 and announced plans to begin production in 2028, more than a decade after the second-generation prototype was first showcased.
Tesla's move into early production of its Optimus humanoid robot has exposed an unusual challenge in scaling embodied artificial intelligence (AI): the company may need to manufacture thousands of robots before it can generate enough training experience to make them commercially useful.
China is proposing to extend AI technology export controls to chip design, memory technologies, and large-scale computing clusters, introducing specific technical thresholds for each.
Chinese AI companies expanding overseas could face more clearly defined technology export restrictions under proposed regulations covering foundation models, AI agents, chip design, and large-scale computing clusters.
The economics of the foundry business have always carried a particular contradiction: semiconductor manufacturing demands enormous upfront capital and years of sustained investment, yet the companies making those investments are expected to preserve enough strategic independence to respond quickly to technology cycles and customers.
As global wafer capacity expands rapidly, TSMC and GlobalFoundries (GF) are highlighting a fast-growing market for mature processes serving advanced applications. In particular, demand for silicon interposers, through-silicon vias (TSVs), and embedded deep trench capacitors (eDTCs) in advanced packaging is creating a sizable blue-ocean market for mature-node capacity.
TSMC reported record earnings for the third quarter of 2026 and forecast a further 15% increase in fourth-quarter revenue, putting full-year US dollar revenue growth on course to reach 44%. Yet supply chain sources say the earnings call carried a more consequential message: TSMC's increasingly explicit assertion of the bargaining power afforded by its lead in advanced process technology and manufacturing scale.