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AI News Roundup For February 5, 2026

Thursday, February 5th, 2026

A bunch of AI-related news has popped up this week, so let’s do a roundup.

  • Some AI companies are complaining that TSMC is killing the AI boom by not expanding rapidly enough:

    Asianometry notes that TSMC’s caution at expanding is amply justified by the boom-and-bust nature of the semiconductor industry:

    • “I’m hearing many similar views in the Silicon Valley Borg that TSMC is the break or limiter on the AI boom, as if they’re the reason why we don’t have AGI yet. Because they didn’t and still don’t believe.”

    • “If we can ever say that a company that spent $41 billion on capital expenditure in 2025, with another $53 to $56 billion in 2026 planned, is sitting on its hands, doing nothing.”
    • “TSMC having 90% share of the AI chip market looks pretty unhealthy. That should go down and it will. Samsung seems to be doing well so far.”
    • “The cold, hard reality is that shortages are a fact of life in semiconductors, as are horrific gluts.”
    • “What we are flippantly labeling as TSMC we really mean is the AI supply chain. And that supply chain is as complicated as you can possibly imagine. Like an iceberg, it looks big enough on the surface of the water, but goes way far deeper underneath. TSMC has thousands of suppliers in two categories: Equipment like the famed ASML lithography tools and materials like photoresist, silicon wafers, acid etch gases and so on. These are not generalized tools and materials. They are not fungeible like AWS compute units.”
    • “And then there are the memory guys. You cannot ship an AI system without memory. DRAM and NAND. Nvidia’s AI chips use a special form of DRAM called high bandwidth memory, and they use quite a lot of it. The memory industry is just as consolidated as the logic industry, with the major players being Samsung, SK Hynix and Micron.”
    • “The chip guys are last to know when the party is getting started, but first they get batoned in the face when the police shut things down.”
    • He points out that semiconductor manufacturers have log supply chains. He uses a different metaphor (the beer distribution game, or a bullwhip), but back when I was working at Applied Materials, it was described as trains linked together with slinkys. First software takes off, then hardware gets yanked along, then the chip manufacturers get yanked, and then, finally, semiconductor equipment manufacturers get yanked into motion, and shortly after that happens, the bust hits the front of the train, and the trailing cars all crash into each other. It’s a regular boom/bust cycle.
    • “From 1961 to 2006, electronics consumption in the United States grew positively but with wild volatility swings between 0 to 20%. But for the semiconductor makers, that translates to swings anywhere from 20% to 40%. And for the equipment makers, it is amplified even more, plus or minus 60%. The whip hits particularly hard in the semiconductor industry because of the industry’s long lead times. It takes 4.5 months to fabricate and package a chip. It takes 18 months to 2 years to build a fab. Meaning from shovels down to producing chips, and it takes 12 to 18 months to produce and install something like an EUV machine into the fab. Another 6 months before that machine actually starts patterning wafers.”
    • “Long lead times mean having to make very long demand forecasts, which leads to extreme volatility swings during up and downturns even if those up or downturns are relatively small.” People forget that in 1998, during the time we now think of as the DotCom Boom, there was a small semiconductor downturn that had Applied Materials forcing employees to take unpaid leave.
    • “ASML just reported 2025 earnings, and we see the bullwhip in full effect. TSMC raised capital expenditure 35% but ASML announced €13.2 billion of net new bookings. Analysts had expected just €6.32 billion. This is because ASML collected orders not just from TSMC, but also Samsung, Intel and the memory guys. When it rains it pours, right? Again, this is why I fear that another AI foundry would not mean our compute shortage is solved, because ultimately, when those foundries start scaling their capacity, they all go to the same suppliers.”
    • He goes over how car manufacturers cancelled orders during Flu Manchu, and then scrambled when the economy took off afterwards. “TSMC was trying to discern between double booked orders and real demand, which is not an uncommon experience for them. Customers lie about their own demand all the time, or at least we can say that they are eternally optimistic. TSMC tried to respond in 2022. The Taiwanese giant poured $36 billion into capital expenditure. They went to their suppliers and pushed like no tomorrow.”
    • “It turned out those customers really were double booking orders and artificially inflating demand. When the macro environment turned in 2022, the automotive, smartphone, and PC chips that were so hot during the COVID era fell out of vogue and customers started cutting orders.”
    • “Meanwhile, deeper down in the supply chain, TSMC and the rest of the semiconductor industry were getting bullwhipped by COVID hangover. Utilization at TSMC’s multi-billion dollar N7 fabs crashed, Semi analysis wrote in April 2023. Now, Semi analysis data indicates that the 7nm utilization rates were below 70% in Q1. Furthermore, Q2 gets even worse with 7nm utilization rates falling to below 60%. This is primarily due to weakness in both smartphones and PCs, but there is a broader weakness in most segments. A fab’s break even utilization rates are about 60% to 70%. So those N7 Taichung fabs were taking financial losses potentially on the order of hundreds of millions, maybe even billions. The financial burdens of low utilization are another reason why I’m skeptical another AI foundry could have rushed into the AI chip fray to save the day.”
    • He says that Intel incurred losses during this period due to an unnecessary fab expansion, which is probably true, but that was a secondary factor next to their longer running problem of getting their process wrong.
    • “ChatGPT was released in November 2022, and that kicked off a massive increase in capex amongst the hyperscalers in particular, but it sure seems like TSMC didn’t buy the hype. That lack of increased investment earlier this decade is why there is a shortage today and is why TSMC has been a de facto break on the AI buildout/bubble.”
    • “I recall news in mid 2024 of TSMC struggling with CoWoS capacity bottlenecks and yield problems, including one design issue that caused cracks in the Nvidia chips packaging.” CoWoS is Chip on Wafer on Substrate, which involves fabbing an interposer as a substrate for faster connections between your processing chips and memory.
    • “I also recall news in late 2024 noting how the vendors in charge of making the server racks for Nvidia’s Blackwell servers struggled with overheating, liquid cooling leaks, software bugs, and connectivity issues. Such technical difficulties delayed server deployment until early to mid 2025, creating a weird situation for several months where TSMC was pumping out chips that just went into storage. So that gated things, because you don’t scale until you first fix the technical problems.”
    • Then there’s the power-scaling issue, which is a whole ‘nuther can of worms.

  • There’s a lot of talk about a SaaSpocalypse going on thanks to a new AI tool. (SaaS is “Software as a Service.” Instead of hosting your own payroll or sales-tracking or whatever servers, you hire a company that already has cloud software setup to do it and you just tie into that, which can considerably reduce startup costs. A whole lot of successful new tech companies over the last decade plus have been SaaS companies.)

    The software sector was jolted overnight with what analysts are calling a “SaaSpocalypse” — a sudden and severe selloff triggered by new artificial intelligence tools unveiled by US AI startup Anthropic. The episode has sharpened investor fears that AI is no longer merely helping software companies but may now begin replacing them.

    Anthropic has expanded its enterprise AI platform, Claude Cowork, by launching 11 new plugins aimed at automating a wide range of professional tasks. Claude Cowork is an agentic, no-code AI assistant built for corporate users, allowing companies to automate workflows without writing software. The new plugins are designed to handle tasks across legal, sales, marketing and data analysis functions. The most recent addition is Anthropic’s Claude Legal agent, which can perform routine legal work such as document and contract review, and compliance checks.

    Anthropic has said that the tool does not provide legal advice and that all AI-generated outputs must be reviewed by licensed attorneys. Even so, the breadth of automation signals a step change in how much white-collar work AI systems can now perform.

    Here are the current plugins for Claude Cowork:

    • Productivity — Manage tasks, calendars, daily workflows, and personal context
    • Enterprise search — Find information across your company’s tools and docs
    • Plugin Create/Customize — Create and customize new plugins from scratch
    • Sales — Research prospects, prep deals, and follow your sales process
    • Finance — Analyze financials, build models, and track key metrics
    • Data — Query, visualize, and interpret datasets
    • Legal — Review documents, flag risks, and track compliance
    • Marketing — Draft content, plan campaigns, and manage launches
    • Customer support — Triage issues, draft responses, and surface solutions
    • Product management — Write specs, prioritize roadmaps, and track progress
    • Biology research — Search literature, analyze results, and plan experiments

    A lot of those are already automated elsewhere, but I suspect a lot accountants and paralegals just felt a goose strut across their grave. On the other hand, who is really going to turn over, say, Accounts Payable to an AI? One glitch, and your entire bank account is drained…

    If it works (a big if, give so many AIs are prone to hallucinations), this is potentially good news for Anthropic and the companies using their tools, and bad for SaaS companies and the employees currently doing those jobs.

    I note there’s no plugin for technical writing…yet.

  • Google/Alphabet just reported $400 billion in earnings in 2025. CEO Sundar Pichai:

    And Google Cloud ended 2025 at an annual run rate of over $70 billion, representing a wide breadth of customers, driven by demand for AI products.

    We’re seeing our AI investments and infrastructure drive revenue and growth across the board. To meet customer demand and capitalize on the growing opportunities we have ahead of us, our 2026 CapEx investments are anticipated to be in the range of $175 to $185 billion.”

  • Remember how Nvidia was going to invest $100 billion in OpenAI? Yeah, not so much.

    In September 2025, Nvidia and OpenAI announced a letter of intent for Nvidia to invest up to $100 billion in OpenAI’s AI infrastructure. At the time, the companies said they expected to finalize details “in the coming weeks.” Five months later, no deal has closed, Nvidia’s CEO now says the $100 billion figure was “never a commitment,” and Reuters reports that OpenAI has been quietly seeking alternatives to Nvidia chips since last year.

    Reuters also wrote that OpenAI is unsatisfied with the speed of some Nvidia chips for inference tasks, citing eight sources familiar with the matter. Inference is the process by which a trained AI model generates responses to user queries. According to the report, the issue became apparent in OpenAI’s Codex, an AI code-generation tool. OpenAI staff reportedly attributed some of Codex’s performance limitations to Nvidia’s GPU-based hardware.

    After the Reuters story published and Nvidia’s stock price took a dive, Nvidia and OpenAI have tried to smooth things over publicly. OpenAI CEO Sam Altman posted on X: “We love working with NVIDIA and they make the best AI chips in the world. We hope to be a gigantic customer for a very long time. I don’t get where all this insanity is coming from.”

  • You know who’s not winning the AI war? Microsoft.

    Microsoft’s Copilot chatbot has become central to its artificial-intelligence strategy as the company’s close partnership with OpenAI diminishes. But the effort to build it up as a ChatGPT alternative has been tough going.

    Remember, Copilot is the AI that wants to take pictures of your desktop every few seconds. Golly, can’t imagine why it’s unpopular..

    Confusing brand positioning and interoperability problems have frustrated users, current and former employees who have worked on Microsoft’s AI products said.

    Interoperability problems? With a Microsoft product?

    Only a small proportion of subscribers to Microsoft’s enterprise suite use Copilot, and the percentage who favor it over Google’s Gemini or other tools has decreased in recent months, according to data reviewed by the Journal.

    The stakes are high for Microsoft because Copilot is core to a push by Chief Executive Satya Nadella to transform Microsoft into an AI-first company, much as he transformed it into a cloud-first company around a decade ago. Copilot is one of Nadella’s top priorities, current and former executives said.

    Microsoft shares tumbled after its earnings report last week sparked investor concern that growth in its most important unit, the Azure cloud-computing business, is slowing, and that its AI business is reliant on OpenAI while Copilot remains unproven. Shares fell nearly 3% Tuesday amid a slide in software stocks prompted by fresh concerns that AI tools will make enterprise subscriptions less necessary.

    For other AI companies, we merely suspect they’re evil. For Microsoft (and Google), we already know they’re evil…

  • TSMC Bids To Take Over Intel Fabs

    Wednesday, March 12th, 2025

    I know that any time I talk about semiconductors, a significant percentage of my readership’s eyes glaze over, but this is Big Freaking News.

    Intel shares rose 6% in premarket trading after Reuters reported that Taiwan Semiconductor Manufacturing, or TSMC, had approached US chip designers Nvidia, Advanced Micro Devices, and Broadcom about taking stakes in a joint venture that would operate the struggling chipmaker’s factories.

    Four sources told Reuters that the Taiwanese chipmaking giant would run Intel’s foundry division under the new proposal, producing chips tailored to customer requirements but not owning more than 50%. The sources added that Qualcomm has also been approached about the venture.

    For those unfamiliar with the semiconductor space, that’s a Murderers Row of heavyweights, including the top three semiconductor companies by market cap:

  • TSMC is far and away the largest chip foundry (a company that builds chips for other companies, but doesn’t design its own chips) in the world, and the one with a clear technological lead over everyone else. TSMC has the third largest market cap of any semiconductor company.
  • Broadcom is the second-largest semiconductor company in the world by market cap, and they have their fingers in a lot of different pies: networking, wireless, storage, you name it. They’re generally considered a fabless chip designer, but the company is such a weird amalgamation of other companies (what we call Broadcom used to be Avago until they acquired Broadcom in 2016) that they might still have a lower end fab or two lurking somewhere in the company. They also use TSMC as a foundry, though I’m not sure how extensively. They’ve also recently made a big move into software, acquiring CA Associates and VMWare, among others.
  • Nvidia is a fabless chip designer (the sort of company that contracts with foundries to fab their chips) that went heavily into high end GPUs (the chips that render video for your PC, in Nvidia’s case geared toward high end games and other highly demanding tasks), then crypto-mining chips, and more recently into chips geared for AI applications, all very lucrative market segments, which has made Nvidia not only first among semiconductor market cap, but among the largest companies by market cap in the world (along with Apple and Microsoft). Nvidia has their chips fabricated by TSMC, as well as some by Samsung and GlobalFoundries, which was spun off from…
  • Advanced Micro Devices, which used to be an Integrated Device Manufacturer (or IDM, a company designs their own chips and builds them in their own fabs) creating Intel-compatible CPUs, but eventually spun off their fabrication plants as GlobalFoundries because they couldn’t keep up with Intel’s capital spending. AMD also has some of their highest end chips fabricated by TSMC. If AMD were to help take over Intel, it would be an extremely ironic ending to a longtime rivalry.
  • Qualcomm is a lot like Broadcom: A mostly fabless design house with its fingers in lots of different pies, and they’re about the sixth largest semiconductor company by market cap. Broadcom tried to acquire Qualcomm in 2017-18 and was blocked by the Trump45 administration.
  • Intel is an IDM, and for decades was the undisputed “chipzilla” of the semiconductor world. Intel’s CPUs were the dominant processor for the vast majority of the last 40 years and a huge ingredient for helping create the PC revolution. Intel used to be the technology process leader as well, but somewhere along the way they screwed up their sub-10nm process nodes, allowing TSMC to take the process technology crown. Indeed, they screwed up so badly that they’ve been forced to have TSMC fab some of its highest end chips. Despite having a vast number of fabs, Intel’s market cap has slipped down to 16th among semiconductor companies.
  • Back to the piece:

    The sources noted that the Trump administration is exploring ways to revive Intel and strengthen US manufacturing under the ‘America First’ agenda. They added that TSMC’s joint venture pitch to chip designers took place before the company, alongside President Trump, announced plans last month to invest $100 billion in semiconductor manufacturing in the US, building on its existing $65 billion investment in its Phoenix, Arizona, factories.

    Any deal between TSMC and Intel would be subjected to approval from the Trump administration.

    If the Trump Administration’s goal is to increase available sub-10nm wafer starts (and it should be) and maintain American control of Intel’s fabs, then this proposal is a win-win. Intel’s fabs plus TSMC’s tech would create a foundry powerhouse. It wouldn’t happen overnight (nothing in semiconductors happens overnight), but probably in 12-24 months, depending on how quickly the new entity can acquire the necessary pieces of equipment to upgrade Intel’s fabs to thee new tech (I’m guessing that the availability of ASML steppers will, as usual, be the gating factor). And all this without the tens of billions in taxpayer subsidies for the CHIPS Act.

    If this goes through, it would have mostly winners, with a few losers:

    Winners

  • Every company that’s part of the deal. TSMC gets to radically expand production capacity without spending $20 billion+ to build a new fab. Nvidia, AMD, Broadcom and Qualcomm gain a lot more capacity for expanding production of their high end chips. Ditto for Apple (who’s not part of the deal, but who is TSMC’s biggest customer and a big demand driver for cutting edge fab capacity) and every other consumer of sub-10nm chips.
  • AMD additionally gets the egoboo of partially taking over its longtime hated rival and confirming it’s crown as the x86/x64 chip manufacturer of choice. Plus their then-risky decision to spin off GlobalFoundries looks like a genius move in hindsight.
  • The Trump Administration, which gets to take credit for vastly increasing American Foundry capacity at zero additional taxpayer expense and keeps Intel under American control.
  • Semiconductor equipment manufacturers like ASML, Applied Materials, LAM Research, Tokyo Electron and KLA (short term). It’s likely most or all of those companies (along with smaller players like Axcelis and Teradyne) will receive a bump in extra sales from leveling up Intel’s fabs to run TSMC’s process.
  • American chip startups: With so much high end capacity becoming available, existing and potential chip startups are going to look like more attractive investment capital opportunities.
  • ARM Holdings: ARM doesn’t make chips, they’re an IP design house that licenses their functional chip blocks to other chip designers. Just about every foundry and IDM is a licensee (yes, including Intel and TSMC), so unleashing more chip designs will almost certainly result in more royalties for ARM. (Nvidia tried to buy ARM in 2020, and regulators quashed that idea good and hard.)
  • Intel investors, who will either get a big lump-sum payment or shares in the new, probably far more profitable company (depending on how the buyout is structured).
  • Even Intel wins long-term by unleashing existing fab capacity to take on new business not tied to its faltering CPU manufacturing model. And actually, with TSMC’s process, Intel has a chance to recover in the CPU space as well.
  • Losers

  • Samsung: Along with TSMC and Intel, Samsung (which has both IDM and foundry components) has some of the best sub-10nm process tech in the world. They gain a whole lot of unleashed competition and stand on the outside looking in.
  • Intel‘s dreams of reclaiming their spot at the top of the heap, and suffering the indignity of being partially owned by AMD. How the mighty have fallen.
  • Every Chinese fab, which goes from “very far behind” to “even further behind.”
  • Semiconductor equipment manufacturers (long term): They better enjoy the out-of-band upgrade money from retrofitting Intel’s fabs, as it will likely mean a significant delay in anyone building a new cutting edge wafer fab for quite a while. And having two of their biggest customers team up is probably going to put them under a lot of downward pricing pressure.
  • GlobalFoundries (and other trailing edge foundries) might lose some business, but there’s very little overlap between Intel/TSMC cutting edge processes and GlobalFoundries trailing-edge fabs. Ditto UMC.
  • Are there anti-trust concerns with such a heavy accumulation of cutting edge process technology? Oh yeah. Big time. But almost all of those concerns were already there in some form or another thanks to the interconnected “cooperation” nature of the industry. All those companies going in with TSMC were already getting chips fabbed by TSMC. Samsung could try to claim that the deal would result in TSMC having a de-facto monopoly on sub-10nm foundry business, but it wouldn’t start with one, and that business isn’t the whole of foundry business (though it is the most profitable part), much less semiconductors as a whole.

    Given that this would go a long way toward achieving Trump’s goal of increasing cutting edge fab capacity in America, I would imagine that the Trump47 administration could very well be persuaded to let this deal go through.