NVIDIA

President Trump announced that Nvidia may ship its H200 AI chips to approved Chinese customers, with the United States receiving 25% of sales revenue. Chinese President Xi Jinping welcomed the plan. The same revenue‑sharing model will apply to AMD, Intel and other U.S. chipmakers. The policy is presented as a way to protect American jobs, sustain domestic manufacturing and generate tax income while avoiding a full export ban. Analysts see modest share gains, increased competition, and a shift toward calibrated engagement that could become a template for future high‑tech export agreements.

the summary).Foxconn, traditionally a smartphone assembler, is now a key Nvidia partner, producing AI‑optimized server racks that drove a 26% YoY revenue rise to NT$844.3 bn (≈US$27 bn) in November. AI server sales offset a 6% monthly dip in consumer electronics, boosting Q3 profit 17% YoY. The firm launched a Taiwan AI manufacturing hub with Nvidia, invested in data‑center specialist TECO, and partnered with OpenAI on hardware. This pivot promises higher margins, greater capital spend, and geographic diversification, lifting its share price 26% YTD and positioning Foxconn as a central player in the expanding AI infrastructure market.

. Nvidia announced this week that it will invest $2 billion for a stake in chip‑design fir…

Nvidia CEO Jensen Huang met former President Donald Trump on Capitol Hill to discuss the proposed GAIN AI Act, which would force U.S. chipmakers to prioritize domestic sales of advanced AI processors over exports to markets such as China. Huang welcomed the bill’s exclusion from the NDAA, warning it would stifle innovation and harm U.S. competitiveness, and advocated for a single federal AI framework rather than fragmented state rules. He noted that tighter export controls could reshape global AI‑hardware supply chains, prompting firms like Nvidia and AMD to shift focus toward domestic and allied‑nation customers while navigating stricter compliance requirements.

words.Anthropic, the AI startup behind Claude, is preparing for a potential IPO—the largest slated for next year—by hiring law firm Wilson Sonsini and consulting banks. The company may raise a private round valued over $300 billion, with $15 billion pledged by Microsoft and Nvidia. It has hired former Airbnb IPO lead Krishna Rao and announced a $50 billion data‑center expansion. Rival OpenAI is also weighing a public listing, positioning both firms to test market appetite for fast‑growing, loss‑making AI ventures.

summary.Alphabet’s Google has surged ahead of OpenAI after releasing Gemini 3, a large‑language model that matches or surpasses ChatGPT, and unveiling its seventh‑gen “Ironwood” TPU. Both Google and silicon partner Broadcom posted strong quarterly gains, while OpenAI‑backed Nvidia and Microsoft lagged. Analysts note a pricing premium for Google’s AI assets for the first time in a decade. The move raises questions about TPU third‑party revenue, Nvidia’s GPU moat, and whether Google can sustain AI‑driven profit growth beyond advertising.

words.SoftBank sold its entire Nvidia stake for $5.83 bn to free capital for a new AI push, chiefly a larger OpenAI investment and data‑center projects. Founder Masayoshi Son said he “cried” selling the shares, emphasizing the need for funds rather than a strategic shift. The move backs SoftBank’s Vision Fund AI war chest, Ampere Computing acquisition, and the Stargate data‑center rollout. While analysts warn of an AI bubble, Son predicts AI‑enabled robotics could soon contribute at least 10 % of global GDP, making the high‑risk bet potentially transformative.

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The AI surge is straining semiconductor supply chains, driving up prices of GPUs, DRAM, SSDs and LPDDR memory. Nvidia’s expanded demand for low‑power LPDDR—also used in premium smartphones—adds pressure to an already tight market. Analysts forecast memory‑chip costs rising 30 % later in 2025 and another 20 % in early 2026, potentially lifting device BOMs by 5‑10 %. Tech firms such as Xiaomi and Dell warn of higher retail prices, while other sectors risk cost spikes and delays as capacity shifts to AI data‑centers.

words.AI and data‑center stocks are splitting, says Jim Cramer. Google‑linked firms (e.g., Broadcom, Celestica) surged on interest in Gemini, while OpenAI‑related names (Nvidia, Oracle, Microsoft, AMD) lagged amid spending concerns. Strong‑balance‑sheet hyperscalers such as Alphabet, Meta and Amazon outpace financially tighter peers. Cramer warns the AI landscape shifts quickly, noting Nvidia’s record quarter despite a stock dip, and urges investors to diversify and scrutinize individual leaders rather than chase a blanket rally.

Nvidia is investing $2 billion in Synopsys to merge its GPU‑based AI acceleration with Synopsys’s electronic‑design‑automation software. The alliance aims to cut chip design and simulation cycles from weeks to hours, dramatically lower prototyping costs, and extend AI acceleration from consumer workloads to industrial sectors such as automotive and aerospace. By adapting GPU‑centric compute to EDA, Nvidia broadens its ecosystem, counters competition from Google’s TPUs, and taps a trillion‑dollar industrial AI market, while Synopsys gains faster, more accurate design tools. Both firms see the partnership as a pivotal growth driver.