The hottest Semiconductors Substack posts right now

And their main takeaways
Category
Top Technology Topics
Alex's Personal Blog 164 implied HN points 06 Jan 26
  1. Claude Code is giving lots of people superpowers by making it easy for non-developers and developers to build and ship useful software, democratizing who can create with AI.
  2. Nvidia’s new Vera Rubin chip suite and yearly upgrade push aim to satisfy booming AI compute demand and keep customers upgrading, but that strategy could still lead to a future chip glut and tougher price competition.
  3. U.S. moves toward Venezuela and talk about Greenland risk straining alliances and reshaping global tech markets, which could open opportunities for European and other non-U.S. tech companies.
ASeq Newsletter 21 implied HN points 25 Feb 26
  1. Clear images of Roche SBX chips from AGBT have surfaced and are being shared on Discord.
  2. The photos use colored 'party' lighting and lack a neutral background or scale, which makes careful inspection harder.
  3. A 2.54 mm pitch SIL header visible in the picture is being used as a scale to de-skew the image and estimate PCB dimensions, while fuller measurements and analysis are in a paid subscriber post.
The VC Corner 379 implied HN points 28 May 24
  1. Elon Musk's company xAI just raised $6 billion to build an advanced AI supercomputer and improve their AI model, Grok 3. This new funding makes xAI a key player alongside OpenAI and Anthropic.
  2. The $6 billion Series B funding round is a big deal in the AI world, showing a lot of investor confidence. Musk plans to use this money to get the hardware needed for more powerful AI.
  3. xAI aims to compete with top AI companies by developing a massive number of semiconductors for training their models. This means more competition in the market and potentially exciting innovations in AI technology.
Alex's Personal Blog 164 implied HN points 29 Dec 25
  1. A proposed one-time billionaire wealth tax in California looks fair politically and could raise a lot for healthcare, but it's impractical because much billionaire wealth is illiquid and would force asset sales or borrowing to pay.
  2. Wealth taxes run up against mobility and incentives: the very rich can move or shift investments to lower-tax states, so the measure would likely cause capital flight and reduce long-term business activity and revenue for California.
  3. Nvidia's deal with Groq risks undermining competition in AI inference hardware by neutralizing a potential challenger, which could concentrate market power and make it harder for smaller firms to compete.
SemiAnalysis 7475 implied HN points 16 Mar 24
  1. CXL technology was once thought to revolutionize data center hardware, but many projects have been shelved in favor of other advancements.
  2. CXL is not likely to be the go-to interconnect for AI applications due to limitations in availability and deeper issues in the era of accelerated computing.
  3. The main challenges with CXL include PCIe SerDes limitations, competition from proprietary protocols for AI clusters, and the need for improvements in chip design for bandwidth efficiency.
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The Asianometry Newsletter 2707 implied HN points 21 Jan 25
  1. The Asianometry Newsletter is now part of the Stratechery Plus bundle, so subscribers will have access to exclusive content like transcripts and audio feeds.
  2. Jon Yu, the creator of Asianometry, started his YouTube channel as a way to share his experiences in Asia, which has now evolved into a focus on technology and semiconductors.
  3. The semiconductor industry is complex and involves tightly-knit supplier relationships, with companies collaborating on process development while maintaining competition.
The Chip Letter 8736 implied HN points 30 Dec 23
  1. The Chip Letter had 75 posts, over 500,000 views, and gained over 7,000 new subscribers in 2023.
  2. Highlighted posts included the story of Erlang at WhatsApp, the disappearance of minicomputers, and a celebration of the 65th anniversary of the Integrated Circuit.
  3. 2024 will bring posts on the history of microcontrollers, Moore's Law, the Motorola 6800, '8-bit', GPUs, TPUs, and more, with a 20% discount available for new annual subscriptions.
SemiAnalysis 7677 implied HN points 09 Feb 24
  1. Hybrid bonding is a major innovation in semiconductor manufacturing, impacting design processes and supply chains.
  2. There are engineering challenges in bringing hybrid bonding to high volume production, with a focus on cleanliness, surface smoothness, and alignment accuracy.
  3. Wafers are bonded using advanced techniques such as wafer-to-wafer or die-to-wafer processes based on alignment accuracy, throughput, and bond yields.
Get Down and Shruti 20 implied HN points 16 Feb 26
  1. The government favors an innovation-first, light-touch AI governance model that leans on existing laws, sector regulators, and techno-legal standards, and it has already moved to impose binding deepfake rules; but enforcement capacity and institutional scaffolding lag behind the rules, risking overreach or automated over-removal.
  2. Physical and political-economy constraints—notably soft soil at fab sites, slow and complex subsidy disbursements, and an insolvent, politically distorted electricity distribution system—are the real bottlenecks that will decide whether AI chips, data centers, and other infrastructure actually get built.
  3. India has world-class engineering talent and a strong startup ecosystem that can build niche, language- and document-focused models and do the messy systems integration work enterprises need, but unpredictable tax rulings, bureaucratic grant processes, and limited private capital certainty make it hard for companies to scale to global frontier models.
More Than Moore 163 implied HN points 18 Dec 25
  1. Breaking chips into modular pieces and using chiplets makes development faster, splits technical risk, and opens new markets like SuperNICs by letting companies combine custom dies with standard pieces.
  2. Standard interfaces and an ecosystem of pre-verified building blocks speed adoption and lower engineering burden, while still leaving room for custom accelerators and differentiation.
  3. The AI boom brings huge investment and urgency, but expensive, complex chip development means the industry is focused on improving performance-per-watt and cutting time‑to‑market through collaboration and tooling.
The Asianometry Newsletter 3214 implied HN points 28 Oct 24
  1. A new proposal suggests using fewer mirrors in EUV lithography machines to improve efficiency. This could help capture more light and reduce costs in the chip-making process.
  2. The new system builds on existing technology and aims to complement rather than compete with ASML's machines. It's about making improvements instead of replacing what's already working.
  3. There's still a long way to go before this new design can be a reality. Many technical challenges need to be solved before it can be tested in actual lithography machines.
The Chip Letter 6770 implied HN points 11 Feb 24
  1. The newsletter is introducing 'Chiplets,' shorter and more varied posts for the readers.
  2. Readers have the option to opt-in to receive 'Chiplets' in their inbox to avoid filling it with too many emails.
  3. The 'Chiplets' will cover a mix of historical and current topics in a more informal and fun way, offering a new format for readers.
Irrational Analysis 279 implied HN points 01 Jun 24
  1. Some investors exhibit group-think behavior, leading to irrational market actions.
  2. Investing in the semiconductor industry requires thorough research and understanding of the market dynamics.
  3. HBM/Micron presents a unique investment opportunity due to increased demand and supply constraints.
Interconnected 92 implied HN points 06 Jan 26
  1. Right now the US is judged to be slightly ahead of China in the AI competition, scored like a halftime football game (USA 29, China 25).
  2. The analysis breaks the competition into five stacked layers — energy, infrastructure capacity, chips/compute, foundational models, and applications — and scores each layer separately.
  3. Those layer-by-layer scores reveal trade-offs (for example, China scores higher on energy while the US leads on other layers), so who wins depends on which parts of the stack matter most.
Mule’s Musings 610 implied HN points 15 Aug 25
  1. Intel is in trouble and needs government support to survive. Without help, its future as a major semiconductor player looks bleak.
  2. The US can't rely on Taiwan for semiconductors anymore. It's important for Intel to stand alone and have the capabilities to produce high-end technology in America.
  3. Trump has the ability to create partnerships that could benefit Intel. By pushing major companies to order from Intel, he could help revive its foundry and strengthen American manufacturing.
Alex's Personal Blog 164 implied HN points 11 Dec 25
  1. Disney struck a major partnership with OpenAI, bringing its IP, investing $1 billion, and planning to use OpenAI tech for Disney+, new products, and employee tools.
  2. Oracle missed revenue expectations and is burning cash after heavy capex, but its enormous remaining performance obligations (RPOs) mean the company could look much stronger if those bookings convert.
  3. U.S. immigration tightening is pushing big tech to boost investments in Canada and India as a talent and market hedge, with firms pledging tens of billions to those countries.
Let Us Face the Future 714 implied HN points 22 Oct 24
  1. The future of technology is all about connectivity between different sectors like energy, mining, and semiconductors. It's not just about one area, but how they all work together.
  2. Scaling AI is a big focus, and over the next few years, we'll see major advancements in AI models. These models will require massive amounts of power and new infrastructures to support them.
  3. For AI to be widely accepted, we need to prioritize security, privacy, and fairness. This means creating accessible and trustworthy systems for everyone.
Alex's Personal Blog 98 implied HN points 31 Dec 25
  1. Twitter/X plans to raise creator payouts to get more unique user data for its AI and says it can block most fraud, which will likely push more incentivized posting.
  2. Meta’s buy of Manus signals a real push into enterprise AI, aiming to sell hosted models and agentic tools to companies instead of just using AI to support ads.
  3. Chinese AI firms like MiniMax are going public early with rapid consumer-driven revenue growth but remain unprofitable due to heavy R&D and weak consumer margins; the big test is whether they can scale higher-margin enterprise revenue without giving away too much value through open models.
ASeq Newsletter 36 implied HN points 03 Feb 26
  1. Japan has deep expertise and built many key components for sequencing — from contributions to the Human Genome Project to ISFET sensing and imaging sensors — yet it has produced almost no homegrown DNA or protein sequencing companies.
  2. Possible reasons include a lack of strong domestic genome centers and expert customers, structural problems with the startup ecosystem, and past institutional missteps that discouraged local product development.
  3. The shift toward clinical, sample-to-answer sequencing and the still-open field of protein sequencing are clear opportunities Japan could exploit with its research and manufacturing strengths, and funding startups would build domestic talent and capability even if many ventures fail.
Clouded Judgement 20 implied HN points 20 Feb 26
  1. A global NAND/SSD shortage has emerged as AI demand has ballooned, driving big gains in memory-related stocks and creating a structural supply problem.
  2. AI has shifted from being compute-bound to data- and memory-bound. Inference, KV caches, and the flood of AI-generated artifacts need huge, low-latency memory and expose inefficiencies in legacy tiering and NAS data paths.
  3. The answer is efficiency, not just buying more flash: orchestrate data so local GPU NVMe can be used as fast Tier‑0, tier cold data to HDDs, recover stranded capacity, use hybrid cloud, and deduplicate across regions to cut flash demand.
Artificial Ignorance 84 implied HN points 04 Jan 26
  1. AI leadership is no longer a U.S. monopoly—lean, well-engineered models from other countries proved they can match top performance without massive budgets.
  2. Reasoning models and AI agents improved very quickly and competition shuffled leadership often, and that progress is already reshaping work and creative industries, with entry-level roles hit hardest.
  3. The AI boom is tied up with geopolitics, chip supply, talent wars, and massive infrastructure builds, creating local backlash and hard questions about ROI and inflated valuations.
Irrational Analysis 239 implied HN points 15 May 24
  1. The Dell leak suggests Qualcomm's upcoming laptop chips have a base-case gross-margin of 52%, significantly benefitting $QCOM while posing challenges for $INTC.
  2. Qualcomm is dominating Intel in Bill of Materials (BOM) cost, with Dell still saving money even before subsidies, showcasing the impact of the PMIC fiasco on Intel.
  3. Qualcomm's laptops are expected to offer nearly double the real-world battery life compared to Intel's, showcasing a major market advantage in terms of battery life and potentially leading to substantial market share gains.
Metacritic Capital 27 implied HN points 06 Feb 26
  1. Investors are worried big tech is overbuilding compute and burning cash on AI capex without a clear path to high returns. If AI labs don’t turn revenue into sustainable margins, those capex bets may not pay off.
  2. Capabilities have advanced a lot, but that hasn’t translated into many profitable public businesses outside the labs and infrastructure sellers. Open-source models and commoditization could quickly squeeze margins and force labs to find new, hard-to-execute business models.
  3. A software-driven automation surge could be deflationary and displace white‑collar jobs, hurting consumer demand and traditional revenue streams. That macro uncertainty makes investors more risk‑averse and raises the bar for further AI spending.
ChinAI Newsletter 609 implied HN points 22 Jan 24
  1. China's chip imports dropped for the first time in consecutive years due to geopolitical factors and increased demand in emerging industries like 5G and AI.
  2. China has been focusing on localizing chip production to reduce the trade deficit, with the self-sufficiency rate increasing from 16.6% in 2020 to 23.3% in 2023.
  3. In the past ten years, China's chip industry experienced significant growth, with chip imports and exports doubling in quantity and value.
Irrational Analysis 339 implied HN points 30 Mar 24
  1. Nvidia's GB200 NVL72 poses an existential threat to competitors in the datacenter CPU market, offering a unique 2:1 ratio and improved integration perspective.
  2. The reintroduction of mainframes signifies a strategic move by Nvidia, with the new AI mainframe/appliance providing massive TCO advantages and performance gains.
  3. Jensen's benevolent trade offer complements technical excellence in the face of political challenges, aiming to secure Nvidia's position in the market and potentially disrupt the status quo.
The Asianometry Newsletter 3553 implied HN points 07 Mar 24
  1. The trillion-dollar investment in AI chips does raise skepticism, with questions about its sustainability and impact on the semiconductor industry.
  2. The concept of scaling laws, driving investments, presents interesting parallels to Moore's Law in the semiconductor industry, suggesting potential future impact on AI.
  3. Competition in AI chips, particularly against Nvidia, is heating up as tech giants aim for vertical integration, potentially shifting the landscape of AI chip design and market dynamics.
Philoinvestor 491 implied HN points 26 Jan 24
  1. NVIDIA's stock price increased significantly faster than its earnings, raising questions about its valuation.
  2. The launch of Chat GPT led to a surge in demand for GPUs and an uptick in NVIDIA's stock.
  3. Microsoft's $10 billion investment in Open AI and the AI hype train are contributing factors to the current market dynamics.
Irrational Analysis 159 implied HN points 23 May 24
  1. Irrational Analysis is heavily invested in the semiconductor industry, giving insights into the comical undervaluation of NASDAQ:ARM.
  2. Nvidia's massive demand for GB200 and Grace CPUs could have significant implications for ARM (LTD)'s value and future performance.
  3. Nvidia Grace CPUs might exceed sell-side expectations, potentially propelling ARM (LTD) value beyond current projections.
Space Ambition 139 implied HN points 31 May 24
  1. Space has unique conditions like microgravity that can help create better semiconductor materials. This could lead to higher quality electronic devices in the future.
  2. Past experiments on the ISS focused mostly on growing crystals, but more research is needed on the complete manufacturing process for chips in space. This includes steps like slicing the crystals and fabricating circuits.
  3. Future projects aim to advance semiconductor production by using resources in space, like making solar cells from lunar materials. This could reduce costs and create a new way to manufacture technology off Earth.
Sector 6 | The Newsletter of AIM 519 implied HN points 29 Dec 23
  1. Intel's CEO, Pat Gelsinger, set a tough goal to create five new technology nodes in just four years, and they achieved this faster than expected.
  2. They recently announced new processors called Intel Core Ultra and Intel Xeon, with more technology options coming next year.
  3. Intel is also planning to enter the GPU market and has exciting upgrades on the horizon with their Gaudi AI accelerator, which will have improved performance features.
Interconnected 401 implied HN points 12 Jul 25
  1. Lip-Bu Tan is a highly accomplished tech CEO and venture capitalist who has had a successful career, including leading Cadence through a remarkable turnaround. His skills in managing multiple tasks and building connections have made him a powerful figure in the industry.
  2. He has a rich history of helping companies go public, with over 145 IPOs attributed to his career. This shows his deep understanding of the venture capital world and his ability to spot potential growth.
  3. Now at Intel, Lip-Bu Tan's leadership style combines discipline and fairness, which many believe is exactly what the company needs to regain its footing in the semiconductor industry.
Artificial Ignorance 71 implied HN points 20 Dec 25
  1. Google’s new Gemini 3 Flash is a faster, much cheaper workhorse model that quickly became the default, fueling a furious release race as APIs handle enormous token volumes.
  2. The AI data‑center boom is hitting a reality check: construction delays, pulled funding, and plunging valuations expose thin margins and big interest costs, while surging power demand raises environmental and political concerns.
  3. A simple 'skills' format for AI assistants is catching on, letting teams share repeatable workflows across platforms and paving the way for interoperable, reusable agent components.
SemiAnalysis 4040 implied HN points 14 Sep 23
  1. Arm is focusing on increasing their pricing and extracting more value from their innovative architecture and licensing model.
  2. Arm's dominance in smartphone instruction sets gives them leverage to potentially raise pricing significantly, similar to Qualcomm's successful pricing strategy.
  3. The IPO and change in business model showcase Arm's potential to boost revenues and profits by optimizing their pricing strategies and pursuing growth opportunities.
Alex's Personal Blog 65 implied HN points 18 Dec 25
  1. OpenAI is chasing enormous amounts of funding to buy more compute because limited GPUs are constraining both research and product growth, and that compute race is driving huge investment into chip makers and related firms.
  2. China says it has an operational EUV prototype, and if it turns that into production it could break ASML’s chokehold on high-end lithography and shift chipmaking power away from Taiwan and its partners.
  3. Political and corporate money are merging in odd ways, exemplified by a Trump-linked media company pairing with a fusion firm backed by big tech, showing that access to capital and government influence is reshaping deal logic beyond pure business sense.
State of the Future 47 implied HN points 19 Dec 25
  1. Semiconductors are the best area to invest right now because system-level innovations like chiplets, advanced packaging, and heterogeneous computing are creating new opportunities beyond Moore’s Law. These shifts make startup-driven hardware innovation more valuable than before.
  2. With the right funding and momentum, Europe could produce many semiconductor giants; the region has the talent and existing industrial strengths to support about 20 potential unicorns in the next 3–4 years. Keeping founders and capital in Europe is key to building that pipeline.
  3. Cloudberry VC is a dedicated European semiconductor fund offering early capital, industry partnerships, and hands-on support to help hardware founders focus on building instead of chasing grants or ill-suited investors. The fund connects startups to manufacturing and photonics partners to speed prototype-to-volume paths.
Irrational Analysis 219 implied HN points 23 Mar 24
  1. HBM (High Bandwidth Memory) is a new and important type of DRAM that has gained significance in the industry for its relevance to AI.
  2. The DRAM market, volatile in nature, has seen Micron making gains in HBM and facing challenges from competitors like Samsung with poor HBM yields.
  3. Investors interested in the HBM market need to be cautious due to the market's volatility and the potential impact of competitors like Samsung on HBM gross margins.