The lawsuit, filed in the Delaware Court

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Intel shares fell fractionally in extended trading after a drop of more than

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ASML is the only company that makes extreme ultraviolet, or EUV, machines that are vital for Taiwan Semiconductor Manufacturing (TSM) and Intel (INTC) to produce advanced AI chips. The Dutch company has a next-generation product nearing production and is researching a third potential generation, the report added.

The company intends to expand into the market to manufacture equipment that can help glue and connect multiple specialized chips, called advanced packaging. It is a vital building block for AI chips and the advanced memory that drives them. As part of these efforts, ASML will deploy AI in its forthcoming businesses and legacy efforts, according to the report.

“We look, not just for the next five years, we look at the next 10, maybe 15 years,” said Pieters to the news outlet. “(We look at) what are potential directions the industry could take, and what would it require in terms of packaging, bonding, etc.?”

The EUV machines are used for lithography — a process of using light to print complex patterns on silicon wafers to make chips. ASML plans to determine if it can expand the maximum size of chips it can print beyond what it currently does — around the size of a postage stamp — which limits its speed, the report noted.

The company is advancing plans to build equipment that helps in packaging chips and is starting to develop chipmaking tools that can help build newer generations of advanced AI processors, the report added.

Pieters — who was promoted to CTO in October 2025 and replaced Martin van den Brink, who was the head of the technology unit for about 40 years — said that ASML’s tools get faster, its engineers will be able to use AI to speed up its machines’ control software and the tools’ inspection of chips as they are constructed, the report noted.

The complexity and accuracy needed to develop skyscraper-style chips has made packaging, once a low-margin volume business, a more lucrative part of manufacturing for companies such as ASML. TSM has used an advanced packaging technology to build the most advanced Nvidia (NVDA) AI chips, the report added.

“But we also see more of that advanced packaging is coming to the front end,” said Pieters, referring to what TSM and others are doing. “Accuracy is becoming more and more important.”

When Pieters examined the chip maker’s plans, including memory makers like SK hynix (HXSC.F), it was clear there would be requirements for additional machines to help companies make things such as chips stacked on top of one another, according to the report.

In 2025, ASML unveiled a scanning tool named XT:260 built specifically to help produce advanced memory chips used for AI and the AI processors themselves. Pieters noted that the company’s engineers are exploring additional machines.

One of the things I’m doing is also looking at what could be a product portfolio in that direction,” said Pieters.

AI chips have increased in size, and ASML is evaluating additional scanner systems and lithography tools to make chips even larger.

Pieters noted that because the scanning equipment uses expertise like optics and know-how like the intricate ways a tool handles silicon wafers, it will give ASML an edge in making future machines.

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SambaNova Systems raised $350 million in strategic Series E financing to expand manufacturing and cloud capacity, with new investors including Vista Equity Partners, Cambium Capital, Intel Capital, Battery Ventures, and accounts advised by T. Rowe Price Associates.

The AI hardware and software company said SoftBank Corp. (SFTBY) will be the first customer to deploy SN50 within its next‑generation AI data centers in Japan. The SN50 delivers five times more compute per accelerator and four times more network bandwidth than the previous generation, the company added.

Intel, whose CEO Lip-Bu Tan also serves as SambaNova’s executive chairman, had previously discussed buying the startup for about $1.6 billion, including debt, Reuters reported earlier.

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The electric vehicle maker has begun phasing out the option to buy FSD as a one-time software add-on, replacing it with a monthly subscription model in core markets such as the U.S., Canada, Mexico, Australia, and New Zealand, with more regions expected to follow. Existing owners who already paid thousands of dollars up front keep their lifetime access, but new customers will now pay around $99 per month instead of an upfront fee that recently stood near $8,000.

CEO Elon Musk has described the strategy as a way to lower the barrier to entry, align FSD with the company’s broader software-as-a-service strategy, and build a recurring revenue base that can grow with fleet size and software capability. In the U.S., Tesla’s (TSLA) full self-driving became subscription-only starting February 15, while some regions like Australia still allow one-time purchases for a limited grace period into 2026.

What is FSD?

Tesla (TSLA) first introduced Autopilot as an advanced driver-assistance suite in 2014–2015, adding features like traffic-aware cruise control, autosteer, and a summon command to ease driving. Over the following years, the company repeatedly promised full autonomy on timelines that slipped.

Today, FSD is considered Tesla’s (TSLA) top-tier driver-assistance package, built on the company’s Autopilot foundation and marketed as a step toward eventual autonomous driving. The software combines adaptive cruise control, lane-keeping, automated lane changes, and navigation-based highway driving with newer features that attempt to handle traffic lights, stop signs, turns, and complex city streets under driver supervision. Technically, FSD relies on onboard cameras, a dedicated FSD computer, and neural-network models trained on massive volumes of driving data. Notably, Tesla (TSLA) rejected lidar and high-definition maps in favor of a camera-only, vision-centric approach. Despite the branding, regulators and Tesla’s (TSLA) own documentation classify FSD as a Level 2 driver-assistance system, meaning the human driver must remain attentive, keep hands ready, and be prepared to take over at any time.

The road ahead

In general, analysts see the recurring, high-margin software revenue stream from FSD as a positive that can help smooth Tesla’s (TSLA) as it hits bumps in the road with other parts of the business. Looking ahead, Musk has some of Tesla’s (TSLA) long-term value to FSD as it melds with the robotaxi network. FSD will also be a key part of the Cybercab rollout and will be designed to operate at Level 4 autonomy in designated areas, with algorithms that reroute for traffic, adjust for local driving conditions, and learn from billions of miles driven by Tesla (TSLA) owners worldwide.

Tesla’s (TSLA) autonomy-as-a-service ambitions have implications for numerous auto and tech companies, including General Motors (GM), Ford Motor (F), Waymo (WAYMO) (GOOG), Uber Technologies (UBER), Lyft (LYFT), Mobileye (INTC), Aurora Innovation (AUR), Rivian Automotive (RIVN), Toyota Motor (TM), Honda (HMC), Nissan (NSANY), and Nvidia (NVDA).

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“In our view, for a significant period of time SambaNova appeared to trail a number of its early AI silicon peers (Groq, etc.), but with AI demand continuing to lift,” analyst Matt Bryson wrote in a note to clients. “The value of AI design talent [is] increasing; and not all custom ASIC efforts progressing as planned (highlighting the inherent difficulties in designing and building an AI processor), it makes sense to us that SambaNova’s perceived value is lifting.”

In December, Nvidia (NVDA) entered into a non-exclusive licensing agreement with Groq, worth some $20B, for its inference technology.

Last year, Intel had been close to acquiring SambaNova, and in December, a term sheet was signed between the two parties. However, talks between the two parties stalled, and SambaNova Systems is now evaluating raising up to $500M in financing.

Intel CEO Lip Bu-Tan is the executive chairman of SambaNova, which makes a platform for inference computing. There are other ties between Intel and SambaNova, including an investment from Intel Capital. Japanese tech conglomerate SoftBank (SFTBY), which invested in Intel in August, has also invested in SambaNova, according to the company.

Intel and SambaNova did not immediately respond to a request for comment from Seeking Alpha.

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The supply constraints have driven up prices for Intel’s server products in China by more than 10% generally, although pricing varies by customer contract, Reuters reported.

These latest notices to Chinese customers, which the sources said were made in recent weeks, indicate that CPU shortages have also intensified. That could compound challenges for AI companies as well as many other manufacturers.

In China, which accounts for more than 20% of Intel’s overall revenue, its fourth- and fifth-generation Xeon CPUs are in particularly short supply, with Intel rationing deliveries, the report added.

Meanwhile, AMD (AMD) is also said to have informed clients of supply constraints. Delivery lead times for some AMD products have been pushed out to eight to 10 weeks.

Intel, which flagged CPU supply constraints in its earnings call in January, said in a statement to Reuters that the rapid adoption of AI had led to strong demand for “traditional compute”.

The company expects “inventory at lowest level in Q1, but we are addressing aggressively and expect supply improvement in Q2 through 2026,” the statement said.

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