Semiconductor Industry News

Why did NVIDIA, the darling of the AI market, drop 2.5% today? The Biden administration dropped the mic (and some weighty export controls) on AI chips and models—arguably the most aggressive attempt yet to regulate the flow of transformational tech. Let’s break it down: 🧩 A Three-Tier System of Access ⏩ 🥇 Top Tier: AI flows freely for 19 nations (G7 + allies like Japan, South Korea, and Taiwan). 🥈 Middle Tier: Most of the world faces caps but can negotiate for more chips by aligning with US policy interests 🥉 Bottom Tier: China and Russia? Completely locked out—no chips, no dice, no exceptions. 🔐 Locks on AI’s Crown Jewels ⏩ Firms must keep 75% of their AI computing power in the U.S. or allied nations, with no more than 7% in any other country. Data center operators like Microsoft and Google will need accreditation to trade AI tech freely, tightly aligning with U.S. security goals. 🤖 New AI Model Parameters ⏩ For the first time, restrictions extend to the very DNA of AI: model weights. Overseas data centers must implement strict safeguards to protect this intellectual property. Officially, it’s about national security: keeping AI away from adversaries like China and Russia. But unofficially? It’s about locking in dominance. It’s a strategic move to control the future of AI innovation and adoption. Pushback is already fierce. Nvidia has called the rules “misguided,” warning that global buyers will pivot to non-U.S. suppliers. Restricting friendly nations like Israel, Mexico, and Switzerland could also strain diplomatic ties. And let’s not forget the unintended consequence: Balkanization of the AI ecosystem. Countries and companies excluded from the U.S.-led framework may double down on domestic R&D or turn to less-restricted alternatives (hello, China). That could erode America’s soft power over time. This is the tech Cold War. Chips are the new oil. Code is the new currency. If these controls stick, the big question is whether they will cement U.S. dominance—or just fuel the competition.

5 biggest bottlenecks India faces in building a complete semiconductor manufacturing ecosystem 1. Lack of Proven, Large-Scale Manufacturing Experience (Fabs & OSAT) 🚀 India is strong in chip design and verification, but has almost no history of running high-volume semiconductor fabs. 🚀 Semiconductor manufacturing is not just capex-intensive—it is process- and yield-experience driven, built over decades. 🚀 Global customers hesitate to commit volumes without proven yield, reliability, and execution track records. Impact: Delays in ramp-up, lower yields, and difficulty attracting anchor customers. 2. Weak Domestic Semiconductor Supply Chain (Materials, Chemicals, Equipment) 🚀 India lacks local suppliers for: - Ultra-pure gases and chemicals - Silicon wafers - Photoresists and specialty materials - Semiconductor-grade equipment and spare parts - Heavy reliance on imports increases cost, lead times, and geopolitical risk. Impact: - Higher operational risk and reduced competitiveness versus Taiwan/Korea/China. 3. Talent Gap in Manufacturing & Process Engineering 🚀 India produces many VLSI designers, but very few fab-level process engineers, equipment engineers, and yield specialists. Skills required for: - Lithography - Etch / deposition - CMP - Advanced packagingare scarce domestically. Impact: Dependence on expatriates, slow learning curves, and higher operational risk. 4. Infrastructure Constraints (Power, Water, Logistics) 🚀 Semiconductor fabs require: - Uninterrupted power with extremely low voltage fluctuation - Millions of liters of ultra-pure water daily - World-class waste treatment and cleanroom infrastructure Many Indian industrial zones still lack fab-grade utilities and logistics reliability. Impact: Higher capex, longer setup times, and operational uncertainty. 5. Long-Term Policy Certainty & Speed of Execution Semiconductor investments need 20–30 year policy stability, fast clearances, and predictable incentives. India still struggles with: Lengthy approval processes Inter-state policy variations Slow execution of announced projects 🚀 Impact: Investor hesitation and comparison losses against faster-moving countries. India’s challenge is not intent or funding, but execution depth, ecosystem maturity, and manufacturing credibility. The ecosystem must be built end-to-end and in parallel, not in silos. As they say, each bottleneck is an opportunity and India understands this & is solving all of these right now. ~~~~ If you are looking to invest in semiconductors and need expert insights, drop us a DM.

As a former chip designer, this one was especially interesting to write.  My latest piece for The Economist investigates the shadow supply chains keeping China in the AI race—despite increasingly strict U.S. export controls. Key takeaways: 👉 Chinese firms lease restricted chips through offshore data centres, especially in Malaysia 👉 Singapore, with few actual chip end-users, is now Nvidia’s second-biggest market 👉 Smugglers route chips via third countries using doctored paperwork and front companies 👉 U.S. enforcement is stretched: one officer covers all of South-East Asia 👉 Ideas like a “kill switch” are really bad 👉 I am sympathetic to Nvidia's view that these controls are not the right way to beat China, innovation is. Read the full story here: https://lnkd.in/eZmfaGNb #AI #Semiconductors #Nvidia #China #Geopolitics #Chips #TechPolicy #TheEconomist

China’s Chip Strategy Is Evolving—Faster Than Expected As someone who serves on the boards of two public semiconductor companies, I found @Liza Lin’s WSJ piece to be clear, rational, and timely. It’s a valuable watch for anyone tracking the future of global semiconductor supply chains and its impact on AI. U.S. export controls aimed at slowing China’s chip development have had a complex impact. One unintended consequence: a renewed push for self-sufficiency. SMIC, despite restrictions, is now producing 7nm chips—technology that powers Huawei’s latest smartphone and was once thought inaccessible without Western semiconductor manufacturing equipment. Beyond the technical achievement, China is investing billions in its semiconductor ecosystem—from equipment and fabrication to talent pipelines. Local firms are shifting procurement strategies, reinforcing domestic capacity. This is more than just a semiconductor story. It cuts across global supply chains, national security, and AI development. A critical inflection point—worth watching closely. https://lnkd.in/gfhvpytF #Semiconductors #AIstrategy #TechSupplyChain #BoardLeadership

Moore’s Law Isn’t Dead — It’s Being Rewritten by Governments. Semiconductors are no longer a tech race. They’re a sovereign asset class. The next 10 years won’t be about who builds the best chip, but who can architect around scarcity, fragility, and control. Here’s what’s really changing: - Chiplets didn’t solve scaling. They broke the supply chain. Modular designs need tight orchestration: Logic from Taiwan, HBM from Korea, interposers from Japan, OSAT in Malaysia. You haven’t lowered cost, you’ve multiplied geopolitical yield risk. - Tools and materials are the real choke points. Forget EUV. Bottlenecks lie downstream: •80% of sputter targets: Japan •Core precursors: 3 global suppliers •FOUPs, pellicles, and resists: single-point dependencies Western fabs are rising. But without localizing everything from reticles to reclaim — they’re exposed. - HBM is now a moat. AI chips are memory-bound. Without SK Hynix’s TSV roadmap or CoWoS capacity from TSMC, your silicon is just an expensive placeholder. Packaging, not logic, dictates your launch date. - Just-in-time silicon is over. OEMs are hoarding inventory, designing fallback SKUs, and funding secure fabs. The new rule: control your chip supply, or someone else will control your roadmap. - This is the era of policy-led scaling. Intel’s fabs in Ohio. TSMC in Kumamoto. These aren’t about ROI , they’re about alignment with defense, automotive, and industrial sovereignty. Cost per wafer is out. Risk-adjusted continuity is in. Final thought: If your strategy still revolves around die shrink and per-mm² cost, you’re playing a game the market no longer rewards. The new battleground is: Where is your stack built? Who owns the flow? And can it survive the next sanctions wave? #Semiconductors #Geopolitics #AIChips #HBM #Chiplets #TSMC #Intel #Packaging #CHIPSACT #SupplyChain #AdvancedManufacturing #SKHynix #ASML #Semiconductorindustry #Semiconductormanufacturing

𝐘𝐨𝐮 𝐤𝐞𝐞𝐩 𝐬𝐞𝐞𝐢𝐧𝐠 “𝐂𝐨𝐫𝐭𝐞𝐱-𝐌” 𝐨𝐧 𝐌𝐂𝐔 𝐝𝐚𝐭𝐚𝐬𝐡𝐞𝐞𝐭𝐬… 𝐛𝐮𝐭 𝐰𝐡𝐚𝐭 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐦𝐞𝐚𝐧? If you’ve ever ignored it and moved on, you’re definitely not alone. Let’s break the story down. It starts with a company you rarely see printed on the chip itself: 𝐀𝐑𝐌. For decades, ARM has dominated one very specific thing — 𝐂𝐏𝐔 𝐜𝐨𝐫𝐞 𝐝𝐞𝐬𝐢𝐠𝐧. Today, most semiconductor manufacturers (STMicroelectronics, NXP, Texas Instruments, and others) build their MCUs and processors around 𝐀𝐑𝐌 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬. Here’s the interesting part: 𝐀𝐑𝐌 𝐝𝐨𝐞𝐬 𝐧𝐨𝐭 𝐦𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐞 𝐨𝐫 𝐬𝐞𝐥𝐥 𝐌𝐂𝐔𝐬 𝐨𝐫 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐨𝐫𝐬. Instead, ARM licenses its 𝐂𝐏𝐔 𝐜𝐨𝐫𝐞 𝐝𝐞𝐬𝐢𝐠𝐧𝐬. Chip vendors integrate those cores into their own silicon and then add memory, peripherals, and system features around them. So what does “𝐀𝐑𝐌 𝐂𝐨𝐫𝐭𝐞𝐱” actually define? In simple terms: 𝐓𝐡𝐞 𝐀𝐑𝐌 𝐂𝐨𝐫𝐭𝐞𝐱 𝐟𝐚𝐦𝐢𝐥𝐢𝐞𝐬 𝐝𝐞𝐟𝐢𝐧𝐞 𝐭𝐡𝐞 𝐂𝐏𝐔 𝐜𝐨𝐫𝐞 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐞𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 𝐦𝐨𝐝𝐞𝐥 — including the instruction set, pipeline, interrupt handling, memory system, and (depending on the family) real-time or operating-system support. They 𝐝𝐨 𝐧𝐨𝐭 𝐝𝐞𝐟𝐢𝐧𝐞 𝐩𝐞𝐫𝐢𝐩𝐡𝐞𝐫𝐚𝐥𝐬 (ADC, UART, PWM), but they 𝐝𝐨 𝐢𝐦𝐩𝐨𝐬𝐞 𝐬𝐲𝐬𝐭𝐞𝐦-𝐥𝐞𝐯𝐞𝐥 𝐝𝐞𝐬𝐢𝐠𝐧 𝐜𝐨𝐧𝐬𝐭𝐫𝐚𝐢𝐧𝐭𝐬. This is where the three main 𝐀𝐑𝐌 𝐂𝐨𝐫𝐭𝐞𝐱 𝐟𝐚𝐦𝐢𝐥𝐢𝐞𝐬 come in: 🔹 𝐂𝐨𝐫𝐭𝐞𝐱-𝐀 (𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧) — 𝐑𝐢𝐜𝐡 𝐎𝐒, 𝐡𝐢𝐠𝐡 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 Applications: Smartphones and tablets, smart TVs and set-top boxes, routers and network gateways, cloud and edge computing devices. 🔹 𝐂𝐨𝐫𝐭𝐞𝐱-𝐌 (𝐌𝐢𝐜𝐫𝐨𝐜𝐨𝐧𝐭𝐫𝐨𝐥𝐥𝐞𝐫) — 𝐄𝐧𝐞𝐫𝐠𝐲-𝐚𝐧𝐝 𝐜𝐨𝐬𝐭-𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 Applications: Consumer electronics, motor control and robotics, IoT devices, wearables, medical electronics. 🔹 𝐂𝐨𝐫𝐭𝐞𝐱-𝐑 (𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞) — 𝐇𝐚𝐫𝐝 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐝𝐞𝐭𝐞𝐫𝐦𝐢𝐧𝐢𝐬𝐦 Applications: Automotive safety ECUs (ABS, airbags), hard-disk and SSD controllers, aerospace and industrial real-time systems. If you’re holding an electronic device right now, there’s a 𝐯𝐞𝐫𝐲 𝐡𝐢𝐠𝐡 𝐜𝐡𝐚𝐧𝐜𝐞 it contains at least one ARM Cortex core: • 𝐑𝐚𝐬𝐩𝐛𝐞𝐫𝐫𝐲 𝐏𝐢 𝟓 → Broadcom BCM2712 → 𝐂𝐨𝐫𝐭𝐞𝐱-𝐀𝟕𝟔 • 𝐀𝐫𝐝𝐮𝐢𝐧𝐨 𝐆𝐈𝐆𝐀 𝐑𝟏 → STM32H747XI → 𝐂𝐨𝐫𝐭𝐞𝐱-𝐌𝟕 + 𝐂𝐨𝐫𝐭𝐞𝐱-𝐌𝟒 • 𝐓𝐞𝐬𝐥𝐚 𝐀𝐮𝐭𝐨𝐩𝐢𝐥𝐨𝐭 (𝐇𝐖 𝟐.𝟓) → Infineon AURIX / SPC5748G → 𝐂𝐨𝐫𝐭𝐞𝐱-𝐑𝟓 👇 Which ARM Cortex family are you working with today?

The data from the Mitsui & Co. Global Strategic Studies Institute presents a subtle but decisive shift in how #semiconductor leadership is being secured—not just through manufacturing scale, but through where knowledge is legally anchored. At a surface level, the numbers are straightforward: Most global leaders—Tokyo Electron, Samsung Electronics, Applied Materials, TSMC, and ASML—file a significant share of patents in the United States, often exceeding 70–90%. In contrast, Chinese entities like Chinese Academy of Sciences and NAURA Technology Group file almost entirely within China (~98%). But the strategic signal sits beneath this distribution. First insight: The US remains the global enforcement ground for IP. Filing in the US is not just about market access—it is about legal strength. The US patent system still acts as the most credible arena for defending high-value semiconductor innovations. This explains why even non-US companies anchor their IP there. Control in semiconductors is as much about litigation readiness as it is about fabrication capacity. Second insight: China is building a self-contained innovation loop. The near-total domestic filing by Chinese institutions signals a deliberate inward strategy. This is not a lag—it is a design choice. By concentrating patents locally, China is strengthening internal supply chains, reducing external dependency, and creating a protected innovation environment aligned with national priorities. Third insight: Two parallel IP ecosystems are forming. One is globally integrated, anchored around the US system. The other is domestically reinforced within China. Over time, this divergence could lead to limited interoperability—not just in technology standards, but in legal enforceability of innovation. Fourth insight: Patents are becoming strategic assets, not just legal instruments. In semiconductors, patents define control over process nodes, materials, lithography techniques, and equipment precision. Owning patents in the right jurisdiction determines who captures long-term economic value, who sets pricing power, and who controls ecosystem dependencies. This is where the conversation shifts from “innovation” to “ownership of innovation outcomes.” manufacturing builds the factory, but patents own the blueprint of the factory. One scales output, the other governs who is allowed to scale. For leadership teams, this has clear implications: R&D without a jurisdiction strategy is incomplete Market expansion must align with IP protection zones Partnerships need to account for where knowledge will be legally held National policy and corporate strategy are now tightly interlinked in deep tech sectors The semiconductor race is no longer only about nanometers. It is about where ideas are registered, defended, and monetized. Those who understand this will not just build technology—they will control its future value. DC* Dinwins

Nvidia’s Jensen Huang has struck an unusual deal with Washington to keep a foothold in China, agreeing with AMD to hand 15% of revenue from certain AI chip sales to the US government. It is a rare compromise in an environment where US export controls have steadily tightened under both parties. Trade data show the consequences. Since late 2023, the average price of a US semiconductor shipped to China has jumped from about $1 to nearly $4. With volumes capped, the chips that do make it through are increasingly concentrated in high-value categories such as AI accelerators and advanced processors. The pattern is telling. The US is exporting fewer chips, but each one carries more strategic value and margin. This mix shift underscores how controls are reshaping the trade from a mass-market exchange into a premium, policy-filtered channel - one that could buy time for US security goals, but also accelerate China’s push for technological self-reliance.

This isn’t about packaging chips. It’s about redrawing the semiconductor alliance map. With Micron Technology launching India’s first semiconductor assembly and test facility in Gujarat, New Delhi just stepped into the global chip supply chain. No advanced fab. No 3nm production. Still strategically significant. India’s semiconductor market grew from $38B in 2023 to $45–50B in 2024–25. The government targets $110B by 2030. That scale changes incentives. This facility converts wafers from Micron’s global network into finished memory products. That means supply chain anchoring without the $20B+ fab risk. Now layer geopolitics. Prime Minister Narendra Modi linked the move to deeper US cooperation and supply chain security initiatives aligned with Washington. Translation: diversify away from China’s dominance in packaging and critical materials. Breakdown: • $18B+ across 10 Indian chip projects → Industrial policy acceleration • Assembly & test first → Lower capex, faster integration • US alignment → Strategic supply chain hedge India was known for software. Now it’s building hardware leverage. Does India become the next packaging hub or remain a secondary node in US-led supply chains? #Semiconductor #SupplyChain #Geopolitics #ChipDesign #ManufacturingTech #IndiaTech #MemoryChips #GlobalTrade

China’s export restrictions rattle global markets… In 2023, China imposed export controls on critical #semiconductor materials germanium and gallium, as well as controls of graphite and technologies used in rare earth extraction and separation, shaking global markets. The materials are vital for advanced microprocessors and military optical hardware. Last month, export restrictions on antimony followed – a mineral used in armor-piercing ammunition, night-vision goggles, and precision optics. In retaliation for the US-led restrictions on the supply of high-tech chip making equipment to China, the impact of these controls has been profound, with prices of germanium and gallium nearly doubling in Europe. China's dominance in the global supply of these materials is formidable, producing 98% of the world's gallium and 68% of germanium. Since the controls, the availability of these materials outside China has plummeted – gallium exports have dropped by half. It has added complexity to already challenging markets and a wide range of #hardware from fiber-optic products to night-vision goggles could be next in the firing line. Long-term supply contracts are now impossible to obtain and shipment approval can take between 30 to 80 days. The situation has been exacerbated by accusations of Chinese stockpiling, which traders blame for the 52% surge in germanium prices since June. US companies are grappling with the challenges of obtaining export licenses and facing a limited stock of germanium and gallium, and the risk of running out is high. Efforts are underway to increase local production and find substitutes for these critical minerals. In some applications, gallium can be substituted with silicon or indium, while zinc selenide can replace germanium in certain uses. Additionally, recycling initiatives are being considered to recover these metals from scrap, but this is limited. However, these alternatives come at a significant cost, with estimates for developing a separate supply chain for processing gallium and germanium for the US and its allies costing US$20 billion and spanning several years… Daily #electronics from Asia insights – follow me, Keesjan, and never miss a post by ringing my 🔔. #technology #innovation