TL;DR · 30-second read

The Short Version

Applied Materials, one of the biggest makers of the machines that build computer chips, is buying more of a smaller Dutch company called Besi. It will own about a fifth of it.

Besi makes machines that join separate chips together so they work as one. The most powerful artificial intelligence chips are now built this way, with stacks of memory chips placed right beside the processor.

The bet: the next big gains in speed and energy savings will come not just from making chips smaller, but from how tightly the pieces are joined.

Applied Materials (Nasdaq: AMAT) entered into an accelerated share purchase agreement on October 26, 2026 that, combined with its existing holding, would give it approximately 20% of the outstanding shares of BE Semiconductor Industries N.V. (Besi), the Amsterdam-listed maker of chip assembly equipment. In an 8-K filed the same day, Applied said delivery of the shares is subject to the expiration or termination of the waiting period under the Hart-Scott-Rodino Act, the US antitrust pre-merger review. Applied has not disclosed the price or number of shares.

MarketScreener reported that Besi’s shares soared on the news and described the move as roughly doubling Applied’s stake, which the company first took in April 2025. Applied said it views the investment as long term, has no current intention to go beyond about 20%, and will not seek a seat on Besi’s board.

Executive Summary

The world’s largest supplier of wafer-fabrication equipment is deepening its financial tie to the leading specialist in hybrid bonding, a technique that fuses chips together copper-to-copper without solder. Applied’s announcement frames the purchase explicitly around AI: Dr. Prabu Raja, President of Applied’s Semiconductor Products Group, said hybrid bonding and next-generation interconnect architectures are becoming “increasingly critical enablers of energy-efficient AI compute performance.”

The collaboration, which began in 2020, is also widening. Besi has joined Applied’s EPIC Center as an Innovation Partner, and joint work now extends beyond hybrid bonding into 3D chip stacking, logic and memory integration, thermo-compression bonding, and die-on-wafer, die-on-die and die-on-panel platforms. That list maps closely onto how today’s AI accelerators and their high-bandwidth memory are assembled.

The structure matters as much as the size. A capped 20% stake with no board representation gives Applied a large economic interest in Besi’s success without control over a supplier that much of the industry relies on.

Why Applied Is Betting on the Bond, Not Just the Transistor

A modern AI accelerator is rarely one piece of silicon. It is a package: one or more logic dies that do the computing, surrounded by stacks of high-bandwidth memory (HBM), the vertically stacked DRAM that feeds data to the processor. Performance and power draw depend heavily on how fast and how cheaply data moves between those pieces. Every connection between dies costs energy, and the number of connections that can be packed into a given area limits bandwidth.

Hybrid bonding attacks that limit directly. Instead of joining dies with tiny solder bumps, it presses two extremely flat, clean surfaces together so their copper pads fuse. That permits far denser connections at shorter distances, which is why Applied ties it specifically to “energy-efficient AI compute performance” rather than raw speed alone. The joint work list in Applied’s announcement, including logic and memory integration and next-generation 3D IC scaling, is a description of exactly this problem: getting memory and compute closer together.

Who feels this first: chipmakers designing multi-die AI processors, memory makers moving toward taller HBM stacks, and the packaging operations that assemble them. A front-end toolmaker taking a fifth of the leading bonding specialist is a strong signal that Applied expects interconnect density to be a gating factor in AI chip roadmaps, and that it wants a stake in whichever tools solve it.

Front-End Precision Meets Back-End Placement

The pairing makes technical sense. Hybrid bonding blurs the old line between front-end fabrication, where Applied built its business in deposition, etching and polishing, and back-end assembly, where Besi specialises in placing dies with high accuracy. A bond only works if surfaces are polished nearly atomically flat and kept free of particles, which are front-end disciplines, and if dies are then aligned and placed precisely, which is Besi’s.

Notably, the collaboration also covers the scaling of thermo-compression bonding, the incumbent method that uses heat and pressure on micro-bumps. That reads as a hedge on timing: the partners are positioned for the current generation of stacked memory and logic as well as the hybrid-bonded generation Applied describes as increasingly critical. Adding die-on-panel integration, which uses large rectangular panels instead of round wafers, extends the bet to a format the industry is exploring to fit more silicon into a single package.

A Stake, Not a Takeover

Applied was explicit on limits: approximately 20%, no current intention to go higher, no board seat, a long-term view. That restraint is meaningful. Besi sells to chipmakers and packaging houses that compete with one another, and equipment buyers tend to value suppliers that remain independent. A minority position without governance rights lets Applied share in Besi’s upside and coordinate engineering closely while Besi continues to sell to the whole market.

The mechanics add one caveat. Under an accelerated share purchase agreement, shares are acquired on a compressed timetable, but delivery here waits on the Hart-Scott-Rodino review. Until that clears, the agreement is signed but the stake is not yet delivered. Investors’ reaction suggests the market reads the move as validation of Besi’s technology position, though Applied’s statements stop short of any commercial commitment such as joint product revenue or guaranteed orders.

Background

Applied Materials, based in Santa Clara, California, is a leading supplier of the equipment used to make chips on silicon wafers, including tools for depositing, etching and polishing thin layers of material. As AI chips have shifted from single large dies to packages that combine several dies with stacked memory, advanced packaging has become a growing focus for front-end toolmakers.

Besi, headquartered in the Netherlands, built its business on die attach and packaging equipment and has become closely associated with hybrid bonding. The two companies began collaborating in 2020, Applied took an initial equity stake in April 2025, and Besi has since joined Applied’s EPIC Center as an Innovation Partner.

Sources

Source: Dutch chip tool maker Besi soars after Applied Materials moves to double stake and Applied Materials wants to raise its stake in BESI to 20% to strengthen partnership (MarketScreener), covering Applied’s move to lift its Besi holding and the market reaction.

Primary sources: Applied Materials Form 8-K filed October 26, 2026; Exhibit 99.1: Applied Materials to Increase its Strategic Investment in BE Semiconductor Industries.

TL;DR · 30-second read

The Short Version

Intel, the American chipmaker, is expanding its research at a $5 billion lab in Silicon Valley run by Applied Materials, the company that builds the machines used to make computer chips.

The twist: Intel’s biggest rival in making chips for other companies, Taiwan Semiconductor Manufacturing Company, signed on to the same lab earlier this year. Two fierce competitors will be inventing future chips under one roof.

Why it matters: the chips behind artificial intelligence keep getting harder to make, and more of that early invention now happens at the machine maker, not inside any one chip company.

shattered.io reported that Applied Materials and Intel announced on October 6, 2026 an expanded collaboration on next-generation transistors, interconnects and advanced packaging, centered on Applied’s EPIC Center in Silicon Valley and Intel’s research campus in Hillsboro, Oregon. The work explicitly includes Foveros, Intel’s technology for stacking chip components vertically.

The EPIC Center, first pledged in May 2023 as an investment of up to $4 billion, is now described as a $5 billion facility. TSMC was confirmed as a founding partner in May 2026, five months before Intel’s expanded role was announced. No dollar figure, node target or performance goal was attached to the Intel agreement.

Executive Summary

Applied Materials, whose equipment sits inside virtually every leading-edge chip factory, now counts the two most closely watched advanced logic foundries (contract chip manufacturers) as research partners at the same facility. Intel’s expanded role covers the full stack of problems that limit AI processors: the transistors themselves, the microscopic wiring that connects them, and the packaging that joins multiple chip pieces into one product.

Intel CEO Lip-Bu Tan tied the work directly to AI demand, citing the need for gains in performance, power efficiency and packaging, and described Applied as an important partner in moving new technology from the lab into high-volume manufacturing in the United States. Intel Foundry’s chief technology and operations officer, Naga Chandrasekaran, framed faster R&D as critical to keeping pace with AI infrastructure buildout.

The significance lies less in any single deliverable, since none was disclosed, than in where the work is happening. When rival foundries both co-develop processes inside a toolmaker’s lab, the equipment vendor becomes a shared starting point for next-generation AI silicon.

Why the Toolmaker’s Lab Is Becoming the Starting Line

New chip generations do not begin at the factory. They begin with materials and process experiments: which film to deposit, how to etch a structure a few atoms wide, how to bond two pieces of silicon face to face. Those experiments depend on the equipment that will eventually run in production, which is why chipmakers co-develop processes with toolmakers. The EPIC Center, short for Equipment and Process Innovation and Commercialization, was built to formalize that step, with more than 180,000 square feet of cleanroom (ultra-clean manufacturing space) planned and up to 2,000 engineering jobs.

The scope of the Intel work maps onto the three constraints that matter most for AI processors. Front-end-of-line research targets the transistor layer. Back-end-of-line research targets interconnects, the wiring stacked above the transistors, where electrical resistance grows as features shrink and can become a bigger limit on speed and power than the transistors themselves. Packaging research, including Intel’s Foveros 3D stacking of chiplets (smaller dies combined into one package), targets interconnect density, power delivery and heat, all of which limit how much compute can be packed into an AI accelerator.

With TSMC as a founding partner and Intel as an expanded partner, at least part of the early-stage work on both companies’ next-generation AI silicon now passes through the same equipment vendor’s facility. That does not mean the two share designs or results; it means the toolmaker sees, and helps shape, both roadmaps. For AI chip designers who buy foundry capacity, it suggests that the process innovations available to them will increasingly be co-developed with Applied rather than invented in isolation inside one foundry.

Intel’s Math: A $2.1 Billion Loss and a Need for Outside Customers

Intel Foundry, the division that manufactures chips for Intel and outside customers, posted $5.8 billion in revenue and a $2.1 billion operating loss in its most recently reported quarter, a $348 million improvement on the prior period. Intel has raised its 2026 capital spending guidance to more than $20 billion company-wide, citing stronger customer-demand signals.

The division’s path to profitability runs through external customers, and winning them requires showing that Intel’s advanced nodes and packaging can match TSMC on schedule and yield. Intel says its 18A process has been in volume production in Arizona since December. Moving from a node that works to a node that wins outside AI chip business is where materials and packaging co-development pays off, and packaging is one area where Intel has distinctive technology to offer.

Neutral Ground Is Good Business for Applied

For Applied Materials, hosting both foundries reduces dependence on any single customer’s spending cycle. The company reported fiscal third-quarter 2026 revenue of $9.12 billion, with $7.04 billion coming from its Semiconductor Systems segment, which sells the equipment used for leading-edge manufacturing. Every process co-developed at EPIC is, in practice, a process that runs on Applied tools.

The facility’s cost has also grown: from a pledge of up to $4 billion over seven years in 2023 to a project now described as $5 billion. Cost growth is common in cleanroom-heavy construction, and anchor partners help justify it. The open question is how Applied manages confidentiality when two direct competitors work in the same building, a matter the companies have not addressed publicly.

A Shared Lab Does Not Close the Spending Gap

Shared research access can equalize the starting line for process experiments, but not manufacturing scale. TSMC has guided 2026 capital spending to $60 billion to $64 billion, up from roughly $56 billion, roughly three times Intel’s company-wide figure of more than $20 billion. Whoever converts lab results into high-volume production fastest still needs the factories to do it.

Samsung Foundry, the third major advanced-logic contender, has no confirmed role at the EPIC Center, and its foundry results are reported inside Samsung Electronics’ broader semiconductor segment. For buyers of AI silicon, the practical takeaway is that process and packaging advances developed at EPIC may reach both Intel and TSMC customers, while capacity remains the differentiator.

Background

Applied Materials is one of the world’s largest makers of semiconductor manufacturing equipment, the deposition, etching and inspection machines that chip factories use to build transistors and wiring. It unveiled the EPIC Center in May 2023, pledging up to $4 billion in incremental investment over seven years, more than 180,000 square feet of cleanroom space, up to 2,000 engineering jobs and as many as 1,500 construction jobs. The project is now described as a $5 billion facility and is scheduled to be operationally ready in 2026.

Intel Foundry is Intel’s contract-manufacturing division, built to produce chips for outside customers as well as Intel’s own products, in direct competition with TSMC, the world’s largest contract chipmaker. Intel CEO Lip-Bu Tan has positioned AI demand and US-based high-volume manufacturing as central to the foundry strategy.

Sources

Source: Intel Joins TSMC at Applied Materials’ $5B Chip Lab [2026] (shattered.io), covering Intel’s expanded R&D collaboration with Applied Materials at the EPIC Center, where TSMC is a founding partner.

TL;DR · 30-second read

The Short Version

• Applied Materials builds the huge machines that factories use to make computer chips, including the chips that power artificial intelligence.
• It plans to spend $5 billion in India over ten years, including a research campus bigger than 100 football fields.
• The more interesting goal: making ten times as many of its machine parts in India by 2035, so fewer of them depend on a handful of places.
• Investors liked it. The company’s shares climbed sharply the day the plan became public.

StocksToTrade reported that Applied Materials (Nasdaq: AMAT), one of the world’s largest makers of semiconductor manufacturing equipment, has unveiled a $5 billion expansion in India to be carried out over 10 years. The plan includes a 140-acre research and development campus and a tenfold increase in local supply chain capacity by 2035.

The shares closed at $444.65 on Friday, September 18, 2026, up from the low $420s earlier in the week. In the same week the company added Qualcomm’s chief financial officer and chief operating officer to its board.

Executive Summary

Applied Materials is committing $5 billion over a decade to India. The plan has two parts: a 140-acre R&D campus and a pledge to grow local supply chain capacity tenfold by 2035. The campus will draw the headlines. The supplier target is the more consequential part.

Chip-equipment makers such as Applied do not build every part of their machines themselves. Their deposition, etch and inspection tools are assembled from thousands of precision components made by outside suppliers. Those tools are in strong demand because of AI chip production. How fast Applied can ship depends partly on how deep and how geographically diverse its supplier base is. A tenfold expansion of Indian supply capacity is a bet on building a second source of those parts, outside the US-Taiwan corridor where much of the industry is concentrated today.

The spending is small next to Applied’s cash generation. The company reported roughly $2.33 billion of free cash flow and about $707 million of capital expenditure in its latest quarter. It also still has $12.8 billion authorised for share buybacks.

The Tenfold Target Matters More Than the Campus

A research campus shows commitment, but on its own it adds engineers rather than output. The tenfold increase in local supply chain capacity by 2035 is the operational commitment in this plan. Semiconductor equipment is built from many specialised parts: vacuum chambers, gas-delivery systems, precision-machined metal and ceramic components, and electronics. When chipmakers raise orders, as AI accelerator and memory demand has pushed them to, delivery times depend on the slowest supplier as much as on the tool maker’s own factories.

Multiplying Indian supply capacity gives Applied another place to source those parts. It also gives India’s precision-manufacturing firms a route into one of the most demanding supply chains in industry. The groups most directly affected are Indian component makers who can qualify to Applied’s standards and incumbent suppliers elsewhere who may face new competition. Chipmakers buying tools could also benefit if a broader supplier base eventually shortens or steadies lead times, although Applied has not said that is the aim.

A Pattern Beyond the US-Taiwan Axis

Applied is not the only large equipment maker expanding in India. Lam Research, a direct competitor in etch and deposition, has also set up manufacturing there. When two of the largest tool makers invest in the same country, it suggests the industry is treating India as a lasting part of its supply base rather than a one-off hedge.

The logic is resilience, not only cost. Much of advanced chipmaking capacity sits in Taiwan, and a large share of tool design and assembly sits in the United States. That concentration is a risk for anyone planning AI compute build-outs years ahead. Building supplier depth in a third region spreads that risk. The limit is time: 2035 is a long way off, and qualifying new suppliers for semiconductor-grade parts is slow and exacting work.

Easily Funded on Current Cash Flow

Spread evenly, $5 billion over 10 years comes to about $500 million a year. That is below Applied’s latest single-quarter capital spending of roughly $707 million and a fraction of its approximately $2.33 billion in quarterly free cash flow. The company reported quarterly revenue of $9.115 billion at a gross margin near 63.9%, with debt-to-equity around 0.29.

That means the India plan does not crowd out shareholder returns. Applied pays a $0.53 quarterly dividend, has raised it for nine straight years, and retains $12.8 billion in buyback authorisation. The more realistic constraint is execution, meaning hiring, supplier qualification and local infrastructure, rather than money.

What the Market Is and Is Not Pricing

Analysts are broadly positive but not unanimous on valuation. UBS raised its price target to $695 with a Buy rating, and the average target sits near $664. Mizuho cut its target to $590 while keeping an Outperform rating, citing pressure on sector valuation multiples and leaning on memory and DRAM equipment demand.

That split reflects a wider debate. Demand for AI chip equipment is strong now, but equipment makers are cyclical, and investors periodically question how long AI capital spending can keep rising. A 10-year India commitment is a statement that Applied is planning past any single cycle. The share-price reaction shows the market rewarded that signal before most of the details were known.

Background

Applied Materials is one of the largest suppliers of semiconductor manufacturing equipment. It sells to foundries, logic chipmakers and memory producers worldwide and trades on Nasdaq under AMAT. Its profitability is high for the sector, with a gross margin near 63.9% and quarterly revenue of about $9.1 billion.

Chip-equipment makers have enjoyed strong demand as AI drives investment in advanced logic and memory. The industry’s manufacturing and supplier base remains concentrated in a few regions, chiefly the United States and East Asia. India has been courting semiconductor investment, and competitors including Lam Research have already built operations there.

Sources

Source: AMAT Jumps As Applied Materials Unveils $5B India Expansion, StocksToTrade’s report on Applied Materials’ 10-year, $5 billion India plan and the market reaction.