Intel's growing AI PC sales are coexisting with a shrinking overall PC market: the source states the cause is that memory constraints weaken purchases and computer makers are reducing processor inventories. Intel notes that a better product mix can support its position without restoring overall PC demand, while capacity released by weaker client sales takes time to become server supply. The source does not state when the PC market might recover.
AI PCprocessormemoryIntelDigiTimes AsiaInventory Shift
Intel agreed to acquire Israeli quantum software company Classiq, with CEO Lip-Bu Tan positioning quantum computing as a "third pillar" alongside CPUs and GPUs. According to Reuters, the deal is reportedly valued at about US$2.3 billion and is expected to close in the first half of 2027.
Intel CEO Lip-Bu Tan confirmed on the company's Q3 2026 earnings call that the next-gen Nova Lake desktop processors will be the first client product to use Intel's enhanced 18A-P node, that Nova Lake is tracking ahead of schedule with design wins expecting to be twice those of Panther Lake at launch, and that more details will be shared at CES in January (confirmation/planning stage, not an implemented capacity result). CFO David Zinsner said Intel intends to take 18A wafers — which were generally going to build Panther Lake products — offline to put Intel 3 into Oregon, using some of the freed-up capacity to produce more data center wafers (Granite Rapids); this reallocation is a stated plan/intent, not yet a completed action. Background figures: 18A-P offers a 9% speed improvement at iso-power or an 18% power reduction at iso-speed versus 18A; 18A products now make up a third of client CPU revenue, up from less than 5% in Q1; Tan said demand for Wildcat Lake is outstripping supply; OEM partners are aggressively managing inventory to match softer sell-through, and the company expects its client business to decline by more than 20% in the next quarter; Zinsner expects the 2026 PC unit TAM to decline approximately 12% with second-half units down more than 20%, plans a roughly 10% PC unit TAM decline for 2027, and does not expect a sustained recovery until memory availability improves and pricing begins to normalize.
Nova LakePanther LakeGranite RapidsIntelTom's HardwareCapacity Change
According to The Wall Street Journal, Apple, once one of the most powerful buyers in the NAND flash market, is losing some of its negotiating leverage as AI-driven demand gives memory suppliers greater pricing power. Meta, Microsoft, and Amazon have signed long-term supply agreements with Kioxia this year at higher prices, strengthening the chipmaker's negotiating position. Separately, South Korean outlet Economy Tribune reports that Apple has reportedly turned to a long-term NAND supply agreement, with market watchers identifying Kioxia as the likely partner; the terms remain undisclosed and this is a reported plan. The report adds that Apple may also pursue long-term agreements with Samsung Electronics, SK hynix, and Micron to secure future LPDDR5X and LPDDR6 supplies. According to TrendForce, memory's share of the 256GB iPhone Pro's bill of materials rose from around 10% a year earlier to 34% in 3Q26 and could exceed 40% in 1H27; TrendForce also estimates the iPhone 18 Pro's total BOM cost could rise 38% YoY, potentially forcing Apple to sacrifice margins to maintain shipments.
NAND flashLPDDR5XLPDDR6Apple, Kioxia and 5 totalTrendForcePrice Movement
Related manufacturers
Apple, Kioxia, Samsung Electronics, SK hynix, Micron
Reported on 2026-10-30, Intel's 3Q26 results were mixed: Data Center and AI (DCAI) revenue surged 78% to $7.3 billion and operating income more than tripled to $3.04 billion; however, according to Reuters, a fatal explosion in October at Intel's Kiryat Gat fab in Israel, which primarily produces data center processors using 10nm technology, is expected to cost roughly $600 million in revenue over two quarters, and sluggish PC demand could persist through 1H27. Reflecting these headwinds, Intel forecast fourth-quarter revenue of $15 billion to $16 billion, missing the $17.07 billion LSEG consensus, with adjusted earnings projected at 25 cents per share versus analysts' 43-cent expectation. CFO David Zinsner said the incident would reduce fourth-quarter revenue by roughly $300 million and shave 200 basis points off gross margin, with a similar revenue hit expected in 1Q27; after a two-week shutdown, Intel aims to begin restoring production at the Israeli facility by the end of this week. In the PC business, 3Q26 sales fell 5% to $8.10 billion, missing analysts' $8.98 billion estimate, and Zinsner expects fourth-quarter PC business revenue to plunge by a percentage in the mid-20s. CEO Lip-Bu Tan said he was disappointed the company could not meet strong customer demand, citing manufacturing supply shortages, an unprecedented memory crunch and resulting PC demand weakness as near-term challenges; he also noted that despite rapidly ramping Intel 3 wafer output, an industry-wide shortage of advanced organic substrates for EMIB packaging continues to limit production scaling. Zinsner also warned the chipmaker is unlikely to generate positive cash flow in 2026; Intel had raised its capital expenditure guidance from $18 billion to $20 billion in July, with a further substantial increase expected in 2027 to support its manufacturing buildout. On the positive side, Zinsner expects industry-wide server CPU unit shipments to grow more than 30% in both 2026 and 2027; Intel Foundry revenue surged 58% to $6.7 billion in 3Q26 including internal sales, with its operating loss narrowing to $1.85 billion from $2.32 billion a year earlier. Tan said a couple of customers will be ready to announce adoption of Intel's EMIB/EMIB-T advanced packaging over the next two quarters, and that in October Intel delivered its industry-standard 0.9 process design kit (PDK) for the 14A process to select customers as planned. TrendForce expects Google to adopt EMIB-T in 2027, while AWS is also testing EMIB technology; industry sources earlier suggested Google's TPU v9 lineup includes three variants: Broadcom-designed WhaleFish (expected to use TSMC's CoWoS-L with mass production slated for 2H27), MediaTek-designed HumuFish (set for 1H28 mass production relying exclusively on Intel's EMIB-T) and TriggerFish (also planned to use EMIB-T, targeted for 2H28 or later).
EMIBEMIB-Tadvanced organic substratesIntel, Google and 5 totalTrendForceDisaster/Disruption
Conference report from SEMICON West 2026: SEMI President and CEO Ajit Manocha told the CEO Summit that the semiconductor industry crossed $1 trillion in annual revenue this year, almost four years ahead of earlier projections; a year ago the forecast for 2030 was $1 trillion, now it is $2 trillion, with $3 trillion possible by 2035; the industry has 102 new fabs coming online through 2029 and needs more than 50 beyond that by 2035. Synopsys CEO Sassine Ghazi named the shortage of engineers as the industry's challenge, and Brooks Automation CEO Dave Jarzynka noted a wafer spends only about 25% of its time in the fab actually being processed. In the design session "Bridging Design and Manufacturing with AI" on Tuesday, October 13 in Room 20 at Moscone North, speakers from TSMC, Intel, Applied Materials, Lam Research, Cadence, Silvaco, PDF Solutions, McKinsey, Cerebras, SanDisk and VerifAIX covered seven themes. Specific figures include: Intel's DTCO decisions dropped from weeks to one or two hours; Applied Materials cut a 3D gate-all-around device simulation from 20.5 days to 19.7 hours on GPUs; McKinsey showed AI-assisted programs reaching tape-out nine months after design starts and cutting debug closure time by 40%; TSMC's agentic place-and-route runs around the clock at 3 to 5x productivity; Rhines showed NAND process steps rising from about 400 to as many as 1,800, wafer lot cycle time stretching from 8 to 10 weeks at 28nm to 16 weeks or more, and mask sets climbing from $1 to 3 million to $20 to 40 million or more; VerifAIX cited first-silicon success at 14% and the best AI pass rate on hardware code generation at 34%; PDF Solutions' Kimon Michaels cited Qualcomm's engineering and manufacturing data growing 600% since 2022, while less than 5% of manufacturing data gets analyzed; Lam's research published in Nature found engineers and algorithms working together, with the handoff in the right place, cut the cost of reaching a process target in half. The session also covered co-optimization (DTCO/STCO) replacing sequential handoffs, trust issues in autonomous design, and digital twins changing development. This is a conference recap and industry background; the source does not state the cause (no single event cause).
NAND3D gate-all-around deviceCFETTSMC, Intel and 16 totalSemiWiki
According to DIGITIMES Intelligence, global server CPU shipments are projected to surpass the 50 million-unit milestone for the first time in 2027, reaching 52.6 million units, a surge of 46%, as demand accelerates alongside the industry-wide shift from AI training to inference. The projection also states that Intel is expected to retain its shipment crown, while rival AMD is closing in fast (the title notes AMD eyeing the revenue crown). This is a forecast, not an achieved shipment result.
Technology podcast host Dwarkesh Patel released a special episode after spending two days touring Intel's fabs and research laboratories and speaking with several technology leaders. Intel CTO Pushkar Ranade said the company's process technology is now only a few percentage points behind TSMC, although catching up in manufacturing scale will take considerably longer.
Industrial PC maker Advantech has opened its new North American headquarters in Tustin, California, expanding local R&D, manufacturing and system integration capabilities. The company subsequently held the Advantech Technology Summit (ATS) in Newport Beach with technology partners including AMD, Intel, Nvidia and Qualcomm to discuss edge computing and edge AI applications.
Tesla and SpaceX are building Terafab in Texas, with Musk aiming to establish a facility capable of processing 1 million wafers per month within 10 years. Intel has joined as a technology partner, and TSMC has confirmed discussions on potential cooperation. Procurement officials from Tesla and SpaceX visited Korean suppliers at SEMICON West. Whether Terafab will materialize as planned remains uncertain.
On Oct. 27 local time at Oracle AI World, Intel said it plans to increase shipments of its current-generation Xeon server CPUs to Oracle Cloud Infrastructure (OCI) and to supply its next-generation Xeon processors, codenamed Diamond Rapids. OCI's 14th-generation server platform (X14) will feature Intel's Diamond Rapids processors to improve AI acceleration and general computing performance. OCI X14 will incorporate enhanced Intel Advanced Matrix Extensions (AMX), which support reduced-precision floating-point formats including FP8, FP16 and BF16, allowing AI inference applications to run more efficiently and at higher speeds. The platform will also feature Intel Advanced Performance Extensions (APX), which improve execution speed by reducing instruction overhead. These technologies will enhance the efficiency of embedding generation, reranking of search results, and small language model (SLM) inference workloads. This is a planned expansion of the supply partnership; the source does not state the cause.
In its SEMICON West 2026 presentations, Intel Foundry, with senior director of business operations and marketing Lori Scott outlining research spanning metrology, defect classification, thermal modeling, automation, and standards, argues that autonomous manufacturing requires trustworthy measurements, connected infrastructure, and clear engineering oversight. Intel Foundry describes its Advanced Chiplet Test services (predictive die classification, intelligent die pairing, optical testing, and yield analytics) as part of a broader measurement strategy; its automatic defect classification research uses an agentic workflow to assist engineers while preserving human approval checkpoints; and it highlights the SATAS industry consortium as one route toward interoperable architectures and automation frameworks. The source explicitly states that the evidence presented remains a roadmap of research and emerging capabilities, rather than proof of factory-wide autonomous performance, and that customers should judge success through demonstrated improvements in yield, scrap, cycle time, reliability, and engineering workload.
connected metrologyAdvanced Chiplet Test servicesphysics-informed thermal modelingIntel FoundrySemiWiki
According to unconfirmed rumors, NVIDIA's RTX 60 series could be delayed until 2028, with similar speculation surrounding AMD's RDNA 5; if true, consumer GPU upgrade cycles could stretch to roughly three years. NVIDIA previously launched the RTX 30 series in 2020, the RTX 40 series in 2022, and the RTX 50 series in early 2025, maintaining a cycle of just over two years. The source states the cause: AI is a major factor — NVIDIA's August earnings report showed quarterly Data Center revenue of US$89 billion, approximately 92.5% of its US$96.2 billion total revenue; gaming is no longer its primary revenue driver, with R&D resources and memory supplies increasingly directed toward AI. Amid strong AI accelerator demand and rising memory prices, the RTX 50 SUPER series has reportedly been put on hold due to GDDR7 costs. Another factor is weakening upgrade incentive: TechSpot's testing found the RTX 5080 outperformed the RTX 4080 SUPER by an average of just 4% at 1440p and 11% at 4K in traditional gaming benchmarks without frame generation. Integrated graphics advances (Intel's Panther Lake Arc B390, AMD's Strix Halo Radeon 8060S, and the Blackwell GPU in RTX Spark) are also pressuring entry-level discrete GPUs. The source notes these performance results do not represent the entire RTX 50 lineup, and the delay reports remain conditional ('if true') speculation.
Intel CEO Lip-Bu Tan, speaking during an October 24 fireside chat with Jimmy Cheng, president of the Chinese American Semiconductor Professional Association (CASPA), said he has spoken with AMD CEO Lisa Su about exploring potential areas of cooperation; he did not say what those areas are, and neither company has announced anything. AMD was earlier reported to be evaluating Intel's 14A node, but it could just as well be packaging, software, or something else. Tan said Intel has to 'reclaim the leadership in CPU' and will now tailor chips like Xeon to customer needs; he named ASICs, co-packaged optics, physical AI and advanced packaging as possible growth areas and wants two or three of them to eventually bring in around 10% of Intel's revenue each. On the foundry side, 18A is in volume production, while 14A has its 0.5 PDK out, with 0.9 next and 1.0 for volume production early next year; Intel had targeted October for handing the 0.9 PDK to outside customers, and Tan's 'stay tuned' suggests it hasn't happened just yet. The source does not state the cause.
On 28 October 2026, the non-profit Good Jobs First published the report 'The Bleeding Edge: How the Public Pays the Costs of Intel's Semiconductor Manufacturing', claiming that Intel continues to receive tax breaks from Oregon and New Mexico that have cost those communities more than $1.2 billion in lost revenue since 2015, with the shortfall largely falling on schools funded by local governments. For Oregon, the report says property tax abatements under the Strategic Investment Program (SIP) exempted Intel from at least $1.14 billion, while Hillsboro schools lost $891 million in revenue from 2017 through 2025; over the same timeframe Intel paid Oregon $552.4 million in fees, less than a third of the value of its tax breaks. In New Mexico, the report puts property tax exemptions under Industrial Revenue Bonds (IRBs) at $99.6 million in foregone revenue since 2017, with Rio Rancho Public Schools losing an estimated $43.4 million over the same nine-year period, while Intel paid $41.6 million in required payments in lieu of taxes from 2017 through 2025, shared among affected local governments. Good Jobs First also notes Intel was awarded billions under the CHIPS Act: an initial $7.86 billion secured under the Biden administration, of which $2.2 billion is believed to have been paid out; the incoming Trump administration rethought the scheme and made an $8.9 billion deal for 10 percent of Intel's common stock, composed of the remaining $5.7 billion of CHIPS Act cash plus $3.2 billion under the Secure Enclave program for military semiconductors. The organization estimates Intel laid off more than 4,700 workers at its Oregon and New Mexico facilities over the past three years. The report questions whether continued tax breaks are necessary for these decades-old established sites and recommends other communities question whether state and local tax breaks are needed. Intel responded that it works closely with governments in the regions where it operates to leverage incentives supporting leading-edge semiconductor R&D and manufacturing, without providing additional details.
Intel plans to acquire a software platform that connects quantum developers with enterprise users, aiming to build a quantum business. The plan follows years of hardware research. The acquisition is planned; the source does not state a deal value, approval status, or completion, and the cause is not stated.
On October 27, Asus and Intel unveiled the new commercial laptop Asus ExpertBook A7 in Taiwan, as on-premises AI computing devices gain attention from enterprises and creators alongside traditional business PCs. Asus said products related to Nvidia RTX Spark are being allocated due to strong global demand, particularly models with 64GB and 128GB of memory, with the next shipments expected to arrive progressively by the end of October.
Intel announced on Oct. 26 local time that it had signed a definitive agreement to acquire quantum computing software company Classiq, to build a full-stack quantum computing platform integrating hardware and development tools. Classiq has developed an integrated software platform independent of specific qubit technologies or hardware architectures; when users provide instructions, the platform automatically designs quantum circuits optimized for the qubit characteristics of each hardware system, serving a role similar to EDA tools used in semiconductor circuit design. Intel plans to combine its proprietary spin-qubit manufacturing technology with Classiq's platform to create a user-friendly full-stack quantum computing system, aiming to accelerate the commercialization of quantum processing units (QPUs) usable in practical applications and to expand its product portfolio beyond CPUs, GPUs and ASICs to include QPUs. The acquisition is expected to close in the first half of 2027, subject to approval from US regulators and other procedures; until then the two companies will continue operating independently. Following the acquisition, Classiq will continue supporting quantum hardware and qubit technologies from other manufacturers. Intel has invested in quantum computing R&D since 2015 and can mass-produce spin-qubit chips and cryogenic control electronics using the same lithography and etching equipment and processes employed in conventional silicon semiconductor production lines.
quantum computing software platformspin-qubit chipscryogenic control electronicsIntel, ClassiqThe ElecPartnership/M&A
On October 20, Starksemi announced that its Micro LED optical interconnect project had completed technical validation by a leading customer and officially entered the product development phase; the solution is based on an 8-inch silicon-based GaN epitaxy platform and hybrid bonding technology, targets high-speed interconnects for AI data centers, and the company will further optimize the design based on customer feedback before proceeding with engineering samples. It previously completed design of experiments (DOE) validation, conducting comparative tests on Micro LEDs ranging from 5μm to 30μm as well as different epitaxial approaches and chip structures. Background: Starksemi was founded in 2022, established operations in Wuhan's East Lake High-Tech Development Zone in October 2024, and in September 2025 completed an 8-inch silicon-based GaN Micro LED pilot production line with a planned annual capacity of approximately 12,000 wafers; in May 2026 it launched a full range of red, green, and blue Micro LED microdisplay panels; in October, a red-and-green stacked microdisplay prototype developed with U.S.-based Inlighten Technologies was showcased at Micro LED-Connect 2026 in Eindhoven, the Netherlands; in September 2026 it raised more than CNY 1 billion in a round led by CATL's Puquan Capital with Meituan Longzhu and Guotai Haitong among participants, bringing cumulative funding to over CNY 2.5 billion.
Micro LED optical interconnectMicro LED microdisplay panelsStarksemi, Inlighten TechnologiesTrendForce
Former Intel CEO Pat Gelsinger is backing Nagare Labs, a memory startup developing Z2RAM. According to The Register, Nagare Labs recently secured US$5 million in seed funding led by Playground Global, where Gelsinger became a partner last year. The company was founded by Georgia Institute of Technology researchers Suman Datta and Shimeng Yu. Z2RAM uses oxide semiconductors and targets SRAM-like speed and DRAM-like density, designed for direct integration on top of logic chips through 3D hybrid bonding and to use standard back-end-of-line (BEOL) processes, allowing multiple memory layers through a single lithography exposure without requiring EUV. The technology remains at the laboratory prototype stage; the startup is seeking an R&D fabrication partner to scale production beyond university cleanroom facilities and plans to sample working Z2RAM memory tiles within four years (a target, not an achieved result), with commercial shipments targeted within the next decade. Z2RAM targets more than five times the bit density of SRAM in its initial implementation, while its capacity would remain far below HBM-equipped accelerators such as NVIDIA's Rubin (288GB) and AMD's MI455X (432GB). Challenges: there is currently no established industry standard for connecting this type of memory to AI accelerators through 3D hybrid bonding, and oxide semiconductors are susceptible to atomic vacancies, so reliability requires further validation.