In the chip world, one branch does the actual 'computing' — from the NVIDIA GPUs that trained ChatGPT, to the CPUs in servers and phones, to the chips Google and Amazon design themselves. This is where a $5 trillion company was born, where NVIDIA holds an almost total grip on the market — and where its biggest customers are trying to 'escape' by building their own chips.
Micron and Intel CEOs Warn Memory Chip Shortages Could Last Through 2027
Micron Technology and Intel CEOs cautioned that memory chip shortages and higher prices could persist through 2027, with Micron's leadership indicating on a recent call that supply constraints may only start to ease meaningfully from 2028 onward. Intel's CEO echoed the outlook for extended tightness in DRAM and NAND availability, pointing to heavy AI and data center demand. Micron Technology designs and produces memory and storage hardware used in everything from smartphones and PCs to data centers, so long running tightness in DRAM and NAND supply directly touches the products it sells into these markets. As one of the larger US based chip manufacturers by scale, with a reported market value of about $1.1 trillion, its comments on supply conditions can influence how investors think about capacity planning across the wider semiconductor sector. The clearest test of this read will be how Micron's long term customer agreements and utilization plans look through 2027, especially whether the company keeps reporting high take or pay coverage across its AI oriented memory output as new fabs and its 512GB DDR5 modules move toward volume production in the second half of 2027.
Cramer Says Broadcom Has More Orders Than Almost Anyone But NVIDIA
Jim Cramer said Broadcom CEO Hock Tan told him demand for AI compute infrastructure remains extremely strong and durable, with the custom chip designer holding more orders than almost anybody other than Jensen Huang. Cramer's remarks on CNBC center on whether Broadcom can keep capturing custom AI chip orders, and the third quarter earnings released on September 2nd support the growth narrative, with revenue up 86%, AI semiconductor revenue up 221%, and fiscal year 2026 guidance implying 186% annual AI revenue growth. Tan reaffirmed that Broadcom could pull in $115 billion in annual AI chip sales in 2027 and $230 billion in 2028. Still, the fiscal fourth quarter guide left investors wanting more, with $34.8 billion in revenue missing analyst estimates of $35.03 billion and gross margin guided at 73%, a five point annual drop due to a higher mix of XPU sales. Estimates suggest 71% of Broadcom's fiscal 2027 and 2028 XPU deployment could rely on OpenAI and Anthropic, meaning a huge portion of orders might come from firms now calling for a slowdown in AI development. In Q2, 170 out of the 1,006 funds tracked by Insider Monkey held a stake in Broadcom, a slight drop from 163 out of 1,022 funds in Q1, with notable exits including Third Point and Two Sigma Advisors, and the stock trades at a forward P/E ratio of 18 versus NVIDIA's 23.42.
S&P 500 earnings are expected to increase by +24% from the same period last year in the third quarter, the 8th straight quarter of double-digit earnings growth for the index, according to Zacks Investment Research. Earnings are expected to be above the year-earlier level for 14 of the 16 Zacks sectors, with 5 sectors expected to enjoy double-digit growth: Aerospace up +159.3%, Energy up +111.9%, Tech up +41.9%, Basic Materials up +31.2%, and Transportation up +15.1%. The Conglomerates sector is the only one expected to have lower earnings in Q3 relative to the same period last year, down 35.4%, while Consumer Staples earnings are expected to be flat. Excluding the Energy sector, Q3 earnings growth for the S&P 500 drops to +20% from +24%, and excluding the Tech sector, growth for the rest of the index drops to +14.4%. Nvidia's Q3 earnings are expected to increase +90% year-over-year on +91.2% higher revenues, while Micron's year-over-year earnings and revenue growth rates are expected to be +938% and +348.6%, respectively, and Tech sector earnings growth gets cut by slightly more than half once contributions from Nvidia and Micron are excluded. The Q3 earnings season will get the spotlight when the big banks report on October 13th, but the reporting cycle actually got underway with the September 10th quarterly releases from Oracle and Adobe, followed by homebuilder Lennar as the third S&P 500 member to report such Q3 results, with an additional six index members on deck this week including Costco, AutoZone and Darden. Total Q3 earnings for the three S&P 500 members that have reported results already are up +22.6% from the same period last year on +14.9% higher revenues, with 33.3% beating EPS estimates and 66.7% besting revenue estimates.
Goldman Sachs Warns S&P 500 Earnings Growth Set to Cool
Goldman Sachs Group expects the rapid rise in S&P 500 earnings to cool rather than reverse, saying several temporary forces are currently lifting profits. S&P 500 earnings per share rose 51% year over year in the second quarter, with growth over the past four quarters reaching 26%, a pace the firm said has pushed profits above their longer-term trend, though the index's forward price-to-earnings ratio has eased to 19 from 23 a year ago and now matches its 10-year average. Artificial intelligence spending is a major contributor, with Amazon, Meta Platforms, Microsoft and Alphabet expected to spend about $800 billion on capital projects this year, nearly double 2025 levels, and Goldman expects that earnings boost to fade as spending growth slows and depreciation rises. Semiconductor margins and gains from technology companies' investment holdings are also supporting earnings, and Goldman said weaker chip margins could cut S&P 500 earnings by about 10%, while investment gains that helped second-quarter profits are expected to contribute less in 2027.
Nvidia Commits $6.5 Billion to Photonics as AI Optical Market Eyes Ninefold Growth
Nvidia has committed at least $6.5 billion to photonics companies over the three months prior to May 2026, including $500 million to Corning for advanced optical connectivity solutions and $2 billion each to Lumentum, Coherent and Marvell, according to CNBC. The impact has been significant, with Marvell shares gaining 183.4% year to date, while Lumentum, Corning and Coherent have advanced 142.5%, 68.8% and 60.3%, respectively. Goldman Sachs projects the total addressable market for optical networking to grow from roughly $15 billion in 2026 to about $154 billion by 2028, a more than ninefold increase. Adoption of co-packaged optics is expected to accelerate starting in 2027, reaching roughly 20% to 30% penetration by 2028, while Mordor Intelligence estimates the global photonics market will reach $1.46 trillion by the end of 2026. Investors seeking diversified exposure can consider the Roundhill Photonics & Optics ETF LYTE, with $254.2 million in assets under management across 19 holdings; the KraneShares Photonic and Optical ETF LUMA, with $9.76 million in net assets; and the Tema Photonics & Optical ETF LAZR, with $94 million in net assets across 27 companies.
Intel and SK Hynix Explore US Memory Chip Partnership as Shares Surge
Intel and SK Hynix are exploring partnership opportunities to manufacture memory chips in the United States, reportedly centered on Intel's long-delayed Ohio manufacturing complex, with possibilities ranging from SK Hynix leasing capacity to a broader joint venture involving cloud companies. No formal partnership has been announced, and SK Hynix stressed that no specific plans or arrangements have been finalized. Since reports of the potential partnership surfaced Wednesday, Intel shares have surged roughly 10%, while SK Hynix has climbed about 5%; SK Hynix stock has risen 20% since its U.S. Nasdaq debut in July, while Intel is up about 4% over the same period. Intel's turnaround is gaining traction independently, with Q2 revenue jumping 25% year over year to $16.1 billion, Data Center and AI revenue surging 59% to $6.3 billion, Intel Foundry revenue up 31%, and management guiding Q3 sales to $15.8-$16.8 billion, while the Zacks Consensus calls for fiscal 2026 revenue to rise nearly 18% and FY26 EPS to soar to $1.50 from $0.42 per share last year. SK Hynix reported record Q2 performance amid robust AI demand, began mass shipments of HBM4 with production expected to ramp through the second half of the year, and shipped samples of HBM4E, while the Zacks Consensus Estimate calls for FY26 revenue to soar over 250% to $240.09 billion and EPS to jump more than 500% to $25.69. Despite its AI-memory leadership, SK Hynix trades at a forward P/E multiple of 7X, while Intel trades at more than 100X forward earnings; SK Hynix carries a Zacks Rank #2 (Buy), while Intel holds a Zacks Rank #3 (Hold).
Tesla Seeks Federal Ruling Over Terafab Name for $16.8 Billion Chip Complex
Tesla and SpaceX are seeking a federal ruling that the Terafab name does not infringe trademark rights held by TERA-print, adding a legal fight to the company's planned $16.8 billion chip complex. Tesla filed three Terafab-related trademark applications in May, and the planned Texas operation would manufacture, package and test advanced logic and memory chips for Optimus robots, Cybercabs and SpaceX data centers. Tesla shares slipped roughly 1% to $362.84 on Friday. The stock trades 8.66% above its $333.92 GF Value, indicating investors still pay a premium for Tesla's long-term growth ambitions. The larger question is whether Tesla can turn the $16.8 billion capital commitment into reliable semiconductor output, since bringing chip production in-house adds execution risk around yields, utilization, engineering talent and manufacturing discipline.
Amphenol AI Datacom Sales Surge 89% as CommScope Adds $1.2 Billion
Amphenol's IT datacom business, which represented 43% of the company's total sales in the second quarter of 2026, saw revenues surge 89% year over year and 63% organically, with management saying the AI revenue run rate has reached roughly $10.5-$11 billion. Management noted that virtually all of the 22% sequential IT datacom growth in the quarter came from AI-related products, as customers require more copper, optics and power for larger, more complex AI clusters. The company's acquisition of CommScope contributed more than $1.2 billion in sales in the quarter, with CommScope's IT datacom business nearly doubling year over year; management expects that market to account for just under half of CommScope's 2026 sales, compared with roughly one-third in 2025. Amphenol faces tough competition from TE Connectivity, whose Digital Data Networks sales rose 34% year over year in the third quarter of fiscal 2026 with bookings up more than 70% year to date, and from Marvell Technology, whose data-center revenues increased 46% year over year to $2.17 billion in the second quarter of fiscal 2027. Amphenol shares have risen 16% year to date, trailing the broader Zacks Computer and Technology sector's 17% gain, and trade at a forward 12-month price/earnings of 25.32X versus the sector's 20.38X, while the Zacks Consensus Estimate for earnings stands at 72 cents per share, up 5 cents over the past 30 days and implying 53.19% growth.
AMD Rumored to Target 2027 Gaming GPU as Nvidia May Wait Until 2028
Advanced Micro Devices is reportedly developing a next-generation gaming GPU for 2027 that would succeed the RX 9070 XT, according to hardware leaker Kepler_L2, while the same reports suggest Nvidia may not release its next-gen RTX portfolio until 2028. If that scheduling holds, AMD could field a new generation of gaming hardware while its larger rival sits between product cycles, though AMD is also said to lack its full next-gen lineup until 2027, with rumors that its flagship GPU and others could slip to 2028. Nvidia remains far ahead in gaming GPUs, holding 72.88% of users in the August 2026 Steam hardware poll versus AMD's 18.68%. AMD is also contending with higher component costs, and separate sources indicate it might raise GPU and CPU prices. On Wall Street, TipRanks shows 29 Buy ratings and six Holds with an average price target of $644.62, leaving open whether AMD can turn a possible one-year product lead into lasting market-share gains.
HPE's $700 Million AI Networking Backlog Tests Supply Chain
Hewlett Packard Enterprise is sitting on a record pile of AI networking orders it cannot yet ship, and the gap between bookings and revenue is now the central question for the stock. Orders for the Networks for AI portfolio reached $700 million in fiscal Q3 2026, a new high, after the company blew past its cumulative fiscal 2026 target of at least $2 billion and raised that target to $2.5 billion to $3 billion. The hardware behind those orders includes routers and switches HPE is supplying to Oracle for one of the largest AI cloud infrastructure build-outs, work that extends more than a decade of engineering between Oracle and Juniper Networks, the business HPE acquired last year. Networking revenue rose 10% in fiscal Q3 2026 against a prior-year base that includes Juniper Networks, while networking orders rose 36%, and the segment brought in $2.9 billion of the $12.2 billion in total revenue HPE reported for the quarter. Management attributes the gap to supply, citing memory and wafer capacity that have gated supply since the start of fiscal 2026, and HPE has more than doubled its networking purchase commitments quarter over quarter while signing multiyear supply agreements to lock capacity. Networking revenue growth is guided to 11% to 13% in fiscal Q4 2026 and 14% to 17% in fiscal 2027, with the next scheduled look at the business coming at the Networking Investor Day on September 30, 2026.
Micron Unveils 512GB Server Memory Module, Volume Production Set for 2027
Micron demonstrated a 512GB server memory module that holds as much memory as four 128GB modules, with AMD and Intel having validated it for future platforms, but volume production is not expected until the second half of 2027. The company said HBM4 has already crossed $1 billion in revenue, with the 12-high ramp running twice as fast as HBM3E, and CEO Sanjay Mehrotra told investors that DRAM and NAND industry demand continues to significantly exceed industry supply, a tightness he expects to persist beyond calendar 2027. Micron has signed 16 Strategic Customer Agreements covering roughly 25% of revenue over their term, with cumulative minimum-price RPO of approximately $100 billion. The stock trades at a trailing PE of 21x and a forward PE of 6x, with the average analyst target at $1,513.11, against consensus fiscal 2027 EPS of $156.0661 on revenue of $244.46 billion, up from a fiscal 2026 EPS estimate of $73.4388. Micron is now the only US maker in both DRAM and NAND after the SanDisk spinoff left Western Digital out of NAND, though the 2027 pricing backdrop the new module lands into cannot be forecast from here.
Intel CEO Warns Memory Prices Up 5x to 7x as Shortage Threatens 2027
Intel CEO Lip-Bu Tan warned this week that memory prices have jumped 5x to 7x and now account for roughly 75% of the cost of some lower-end phones and laptops, cautioning the shortage could deepen in 2027. Tan told investors the industry faces one of the most severe supply constraints in its history across leading-edge logic, silicon wafers, memory, and subscripts, and said these shortages will persist for the foreseeable future. Intel is pivoting production toward data-center CPUs and now guides 2026 capital expenditure above $20 billion, with 2027 spending set to run significantly higher. Micron Technology echoed the outlook, saying it sees tightness continuing beyond 2027, aligned with SK hynix flagging 2027 as potentially the industry's worst supply year. Micron's $100 billion in take-or-pay remaining performance obligations and $22 billion in customer deposits and letters of credit lock in floor pricing above prior peak margins, while its fiscal third-quarter gross margin hit 84.9% on DRAM pricing gains in the low 60s percentage range and NAND pricing in the mid-80s percentage range.
Apple's Siri AI Cycle Could Drive Shares to $450 by 2027, Analyst Says
Apple is trading below what a full Siri AI cycle could justify, according to a 24/7 Wall St. analysis, even after posting $109.42 billion in fiscal Q3 revenue, its ninth consecutive EPS beat, and a 22% iPhone growth rate cited by CEO Tim Cook. Shares are up 23.19% year to date and sit near the top of a $235.78 to $344.27 52-week range, but the Street consensus target of $325.66 is essentially flat with the current $334.31 price, while the firm's own model projects a base case of $378.88 and a bull case of $431.31. Reaching $450 by 2027 would require a 34.6% gain and a forward P/E of 46x, roughly 7 turns of multiple expansion above the base case, and depends on three catalysts: a clean Siri AI launch with subscription revenue, memory cost normalization by mid-2027, and iPhone 18 sustaining 22% growth. Cook warned of a 100-year flood in memory pricing and said supply constraints will increase significantly in the September quarter across iPhone, Mac, and iPad, while Q3 gross margin got a roughly 2-percentage-point benefit from one-time tariff refunds. The primary risk is a China revenue reversal that would undercut the growth story entirely.
Amazon AWS Revenue Hits $42.23B, Up 37% in Fastest Growth in 18 Quarters
Amazon Web Services posted $42.23 billion in revenue, growing 37% year over year, the segment's fastest growth in 18 quarters, with a 39.4% operating margin and a $496 billion contracted backlog. Amazon's chips and AI businesses each eclipsed run rates of more than $25 billion in the second quarter, both growing at triple-digit percentages year over year, while 98% of Amazon's top 1,000 EC2 customers use Graviton and Anthropic and OpenAI have made multi-year, multi-gigawatt commitments to Trainium. Q2 operating income landed at $27.46 billion, up 43.2% year over year, and advertising is a $70 billion-plus trailing-twelve-month business growing 26%. Capex reached $54.21 billion in a single quarter, up 68.4% year over year, and free cash flow swung to negative $7.6 billion on a trailing-twelve-month basis, though most AI capacity is contracted for at least five-year terms. Since Amazon reported Q2 on July 30, 2026, AMZN moved from $230.08 to $251.19, while SPY went from $747.03 to $762.70 and QQQ went from $687.99 to $716.92. Andy Jassy said AWS could become a few hundred billion dollar revenue business and now believes it will be at least double that and very possibly a trillion dollar annual revenue business in time.
GlobalFoundries Expands SiGe Capacity in Multi-Year Marvell Deal
GlobalFoundries has signed a new multi-year agreement with Marvell Technology to increase production capacity for its silicon germanium technology. Under the deal, GlobalFoundries will expand SiGe production at its Burlington, Vermont facility to support Marvell's growing requirements, with the added capacity aimed at next-generation pluggable optical transceivers, Near-Packaged Optics and Co-packaged Optics. The collaboration is expected to serve rising demand for high-speed optical connectivity driven by artificial intelligence and cloud data center infrastructure. GlobalFoundries' existing solutions support 200G-per-lane optical connectivity, while its development roadmap targets higher-speed generations as bandwidth requirements rise. The company faces competition from United Microelectronics, which has begun mass production of photonic IC wafers, and Taiwan Semiconductor, which is strengthening its CoWoS packaging and silicon photonics capabilities.
Nvidia CEO Huang Says Chip Sales Will Double Next Year
Nvidia CEO Jensen Huang said the company expects to sell roughly twice as many chips next year as it does this year, calling it one of his strongest signals yet that AI demand remains far from exhausted. Speaking to reporters Thursday at a summit in Scotland with King Charles III, Huang said the reason is AI's contribution to different industries and economies, and that people in almost every country Nvidia operates in want to invest in AI. The forecast adds to Nvidia's increasingly aggressive outlook: the company recently said it expects roughly 70% growth in the fiscal year ending January 2028, which would put annual revenue around $673 billion. Nvidia does not disclose total chip unit shipments, making Huang's volume forecast difficult to translate directly into revenue, though its most important products include data-center GPUs, particularly Blackwell and next-generation Rubin systems; Huang said last fall that Nvidia had shipped about 6 million Blackwell GPUs over four quarters. The comments come as investors debate whether hyperscaler spending and model-training demand can keep growing at the breakneck pace seen during the first phase of the AI buildout, with the key question being not simply whether Nvidia can double chip volumes but what that mix looks like, since higher shipments of premium Blackwell and Rubin systems could support enormous revenue growth while greater unit volume at lower average selling prices would produce a different margin outcome.
BofA Forecasts Global Chip Market Nearly Doubling to $3.2 Trillion by 2030
Bank of America forecasts the global semiconductor market will nearly double to $3.2 trillion by 2030 from $1.7 trillion in 2026, citing continued strength in AI infrastructure, memory and data-center demand. Within that total, BofA expects memory sales to climb from $937 billion in 2026 to $1.8 trillion by 2030, core semiconductor sales to rise from $739 billion to $1.35 trillion, and server-related sales to increase from $359 billion to $848 billion. The bank also projects wafer-fabrication equipment spending will more than double to $359.8 billion by 2030 from $155.9 billion in 2026, with 2027 largely fully booked and contracted across compute, networking and memory vendors and supply expected to stay tight in 2028. The Philadelphia Semiconductor Index gained around 3.14% on Thursday after five negative sessions, though it remains up about 91.19% over the past year and 59.14% year to date. BofA flagged a potential slowdown in hyperscalers' AI spending as the biggest risk to its outlook, even as recent calls for a more measured pace of AI development from figures including Dario Amodei, Sam Altman and Elon Musk have weighed on the broader AI trade.
Nvidia CEO Jensen Huang Signals Chip Sales to Double Next Year
Nvidia CEO Jensen Huang said Thursday he expects the company to sell twice as many chips in the next year as it did this year, a signal to investors that demand has not yet peaked. Huang attributed the outlook to AI investment spreading across industries, economies and countries. Management said consumer expectations point to another doubling of growth next year, and Nvidia projected around 70% revenue growth for the fiscal year ending January 2028, bringing revenue to almost $673 billion. Management classified the outlook as supply tight, implying Nvidia's capacity to ship chips could remain one of the largest impediments to growth. Last year, Huang said the company shipped around 6 million Blackwell GPUs in four quarters, and Rubin is now coming up as the next big part of the product cycle.
BrainChip Launches AKD1500 PCIe Development Card for Edge AI Evaluation
BrainChip Holdings Ltd. has launched the AKD1500 PCIe development card, a new product designed to facilitate edge AI evaluation by allowing installation in standard PCIe slots of desktops and industrial PCs. The card, part of BrainChip's diverse product line, gives developers broad accessibility to validate AI models using existing frameworks and to transition seamlessly from evaluation to deployment across various hardware forms. It supports the rising demand for low-power edge AI applications in devices such as sensors, cameras, and wearables, within a rapidly expanding edge AI chipset market projected by ABi Research. The AKD1500 is readily available for purchase and comes equipped with open tools and a model library, enhancing BrainChip's capacity to support teams developing efficient, self-learning edge AI solutions.
GMKtec Unveils EVO-X5 Pro Desktop AI Supercomputer at IFA 2026
GMKtec officially unveiled the EVO-X5 Pro, its flagship desktop AI supercomputer, at its global launch event at IFA 2026 in Berlin, with the system launching on September 28. Powered by AMD's Ryzen AI Max+ PRO 495 processor, the EVO-X5 Pro is described as the world's first desktop system capable of running a 300-billion-parameter large language model entirely offline. The processor features 16 Zen 5 CPU cores, 32 threads, boost speeds up to 5.2 GHz, and an XDNA 2 NPU delivering up to 55 TOPS of AI performance, while the system supports up to 192GB of LPDDR5X-8533 unified memory with 273 GB/s of memory bandwidth and up to 160GB dynamically allocated as graphics memory. The EVO-X5 Pro received two honors at the exhibition, the PCWELT Best of IFA 2026 SmartZone award and a BEST OF IFA 2026 Innovation Award. Michael Nordquist, Vice President of Client Business at AMD, joined the launch event, and GMKtec said the two companies plan to deepen cooperation across the ROCm software ecosystem, AI software optimization, and the broader Agentic PC platform.
TSMC Moves 2nm Into Commercial Production, Raises Capital Expenditure Targets
Taiwan Semiconductor Manufacturing has moved its 2nm process into commercial production and raised its capital expenditure targets to support the rollout. The chipmaker said the higher spending is preparation for an intensifying global semiconductor arms race among leading foundries and chip designers. The accelerated 2nm commercialization keeps TSMC aligned with chip designers that need leading-edge capacity for AI and high-performance computing, and the bigger budget gives it more room to secure large multi-year supply commitments from major customers. One early indicator to watch is how quickly 2nm and related advanced nodes contribute a rising share of wafer revenue as new lines ramp up, including whether customer wins such as the MediaTek 2nm decision broaden into multiple large-volume programs that keep those advanced fabs near targeted utilization levels from 2026 onward.
US Approves $24.3B F-35 Sale to Saudi Arabia; China Tariff Decision May Slip
The State Department approved a potential $24.3B sale of 48 Lockheed Martin F-35 Lightning II aircraft to Saudi Arabia, along with 49 Pratt & Whitney F135-PW-100 engines and related equipment, a deal that still requires congressional approval and would strengthen Saudi Arabia's air defense and interoperability with U.S. and allied forces. Separately, Bloomberg reported that the U.S. could postpone announcing new tariffs on China and other countries until after President Donald Trump meets Chinese President Xi Jinping next week; a previously planned trade report was expected to recommend a 7.5% tariff on Chinese goods, while the final rate could potentially exceed the 20% level agreed during earlier talks. Nvidia CEO Jensen Huang said the company expects to sell roughly twice as many chips next year as this year as demand for AI infrastructure expands. China's ChangXin Memory Technologies is preparing to enter the NAND flash-memory market, with Reuters reporting that CXMT plans an R&D production line at its new Beijing plant and has established a research institute in the city, broadening its focus beyond DRAM. OpenAI has hired Brian McCarthy from SpaceX as vice president of worldwide sales, Fortune reported; McCarthy joined SpaceX through its acquisition of Cursor, where he led global revenue and field operations, and previously held senior sales roles at Rubrik, ThoughtSpot, AppDynamics and Qlik.
Musk Signals Deeper Tesla SpaceX Ties and Terafab Chip Push
Tesla CEO Elon Musk signalled closer operational ties with SpaceX, including potential corporate integration, during recent public comments. Musk highlighted a joint Terafab semiconductor manufacturing effort aimed at supplying custom chips for Tesla vehicles and energy products, and teased the upcoming Tesla Roadster reveal as a showcase for new technology that could leverage SpaceX-related engineering. The hinted Tesla SpaceX integration, the Terafab chip effort and the Roadster technology are only one part of Tesla's broader story, alongside its large electric vehicle operation and its energy storage and generation business. The Terafab partnership and talk of deeper SpaceX integration strengthen the part of the Tesla thesis that relies on tight vertical integration for AI hardware and software, pointing in the same direction as the robotaxi and Optimus plans, where the story depends on owning the full stack rather than relying on external chip suppliers like Nvidia. The news also leans into risks analysts already flag around heavy AI capex, execution complexity and regulatory friction, with a merger or deeper tie-up adding governance and integration questions on top of existing concerns about slower product ramps and already high spending, while competitors such as Mercedes-Benz or BYD keep pushing more conventional EV strategies.
AI Risk Debate Splits Tech Leaders as Traders Weigh Capex Slowdown
A fresh global debate over artificial intelligence risks intensified this week as tech executives clashed over whether frontier labs should slow development of the technology. Leaders of Anthropic, OpenAI, SpaceX and Google DeepMind pushed for self-regulation checks on growth that give AI models more control, while Microsoft, Amazon and Meta said they are building tools to check, control and regulate AI risks, and US President Donald Trump dismissed the warnings as a "hoax." The call for caution triggered a rotation out of tech stocks at the start of the week as investors questioned whether the pace of the booming AI buildout needs to be repriced. Market participants said any sign of a slowdown in AI capex would be a major moment, with semiconductors likely hit first, though several voiced confidence that the spending cycle itself remains intact.
MACOM Launches 3.2T AI Optical Chipset at ECOC 2026
MACOM Technology Solutions Holdings introduced a new 3.2T optical front-end chipset for AI and cloud data center interconnects and showcased it, alongside a broad portfolio of high-speed optical and connectivity components, at ECOC 2026 in Málaga, Spain. The launch underlines MACOM's push into 448 Gbps-per-lane and PCIe 6.0/7.0 ecosystems, aiming to become a core supplier for next-generation AI infrastructure and advanced telecom networks. The ECOC announcement closely echoes MACOM's OFC 2026 demonstrations, where it highlighted 3.2 Tbps optical transmit solutions and PCIe 6.0/7.0 technologies. MACOM's narrative projects $2.1 billion revenue and $605.5 million earnings by 2029, requiring 24.4% yearly revenue growth and about a $428.7 million earnings increase from $176.8 million today, while the most optimistic analysts already expected about US$2.7 billion in revenue and US$871.2 million in earnings by 2029. The company's forecasts yield a $398.36 fair value, a 51% upside to its current price.
Lattice Semiconductor Launches Mach-N2 FPGA Family After 62% Revenue Jump
Lattice Semiconductor rolled out its Mach-N2 FPGA family on September 16, a chip line built to protect control systems inside servers, network gear, and industrial equipment against next-generation cyber threats. The launch follows a second quarter in which Lattice reported revenue of $201.1 million, up 62% from a year earlier and above the high end of its own guidance, with non-GAAP earnings per diluted share of $0.53 versus $0.24 a year prior. The new family packs up to twice the logic density of its predecessor, configures a 220,000-cell device in under 30 milliseconds, and bundles CNSA 2.0-compliant post-quantum cryptography, with samples already shipped to compute and communications customers. Lattice guided third-quarter FPGA revenue to $220 million at the midpoint, 65% growth year over year, and said total revenue including two months of its newly closed AMI acquisition should push it toward a $1 billion annual run rate. The company closed the $1.65 billion AMI deal on July 27, 2026, paying roughly $1 billion in cash and issuing about 5.2 million new shares worth around $650 million, and AMI is expected to contribute more than $200 million in 2026 revenue on its own. GAAP net income fell to $19.4 million in the second quarter from $21.8 million in the first, with diluted GAAP earnings per share slipping to $0.14 from $0.16, as operating expenses jumped 29.9% quarter over quarter.
Marvell Deepens AI Infrastructure Push With GlobalFoundries, Microsoft, Utimaco Deals
Marvell Technology announced new collaborations with GlobalFoundries, Microsoft and Utimaco focused on advanced connectivity and payment security. The GlobalFoundries partnership targets expanded production of advanced SiGe chips used in next generation optical links for AI data centers, giving Marvell more assured capacity for SiGe chips used in pluggable optics, NPO and CPO and tightening a manufacturing relationship that already spans more than a decade. Marvell is also working with Microsoft and Utimaco to provide a cloud native payment security platform delivered through Microsoft Azure, combining LiquidSecurity hardware with Utimaco software to shift part of its security hardware footprint into a cloud delivered, usage based service. The first checkpoint for that effort is the Azure Payment HSM v2 public preview, which begins on 17 September 2026 in Western U.S. and Western Europe. Investors can then watch for disclosed customer adoption metrics, expansion of availability regions, and Marvell's capacity plans for higher speed SiGe optical products beyond the current 200G per lane benchmark.
Lattice Semiconductor Launches Mach-N2 Secure FPGA Family and AI Design Tool
Lattice Semiconductor has launched its Mach-N2 FPGA family, adding higher logic density, integrated flash, post-quantum cryptography, and faster connectivity for secure control in modern infrastructure systems. The company paired the launch with its new AI-powered Lattice Prompt design tool, tying advanced hardware security to accelerated FPGA development workflows and potentially deepening its role in next-generation compute, communications, and industrial deployments. The Mach-N2 launch reinforces Lattice's secure control positioning but does not remove near-term risks around pricing pressure, customer inventory swings, or reliance on a relatively narrow product focus. Lattice's narrative projects $2.0 billion in revenue and $525.1 million in earnings by 2029, yielding a $164.92 fair value and a 52% upside to its current price. Before Mach-N2, the most optimistic analysts had already assumed revenue could reach about US$2.3 billion and earnings US$359 million by 2029, far above consensus.
Guoke Holdings Leads Restructuring of ST Infi with 2.841 Billion Yuan Investment to Take Control
Guoke Holdings has led six restructuring investors in signing a restructuring investment agreement, planning to subscribe to ST Infi's capital reserve shares at 2.61 yuan per share, with total investment of approximately 2.841 billion yuan. After the restructuring is completed, Guoke Holdings will become the largest shareholder and gain control. ST Infi announced on the evening of September 17 that the company held a board meeting on September 16 and approved the relevant proposals. Based on the subscription price, the restructuring investors will subscribe to approximately 1.088 billion shares in total. The lead investor is Hunan Guoke Holdings Co., Ltd., and other members of the consortium include Hainan Xinchen Jingwei Technology Co., Ltd., Changsha Huashi Semiconductor Co., Ltd., Wuhan Qianchen Enterprise Management Consulting Partnership, Hubei Chuliuguang Technology Investment Partnership, and Shenzhen Zhongtou Strategic Emerging Industry Private Equity Fund Partnership. Guoke Holdings is an industrial holding platform deeply engaged in the integrated circuit sector and is the controlling shareholder of Goke Micro, holding 17.98% of its shares. In the first half of 2026, Goke Micro achieved revenue of 1.378 billion yuan, up 85.81% year on year, and net profit attributable to the parent of 196 million yuan, up 872.78% year on year. ST Infi stated that bringing in restructuring investors will inject incremental capital and leverage industrial resources to drive the transformation and upgrading of its main business toward the integrated circuit industry. The restructuring investment is tentatively set at 2.841 billion yuan, and the overall repayment rate for ordinary claims is targeted at 80%. The company is still in the pre-restructuring stage. The Shenzhen Intermediate People's Court has decided to initiate the pre-restructuring process but has not yet formally accepted the restructuring application. If the restructuring fails, there is a risk of bankruptcy declaration and delisting of the stock. On September 17, ST Infi's share price surged during trading and hit the daily limit, closing at 7.18 yuan per share, up 9.95%, with a total market value of approximately 8.6 billion yuan.
MACOM Unveils 3.2T Front-End Chipset for AI Optical Interconnects
MACOM Technology Solutions announced a front-end chipset solution for 3.2T applications designed to accelerate next-generation optical interconnects for artificial intelligence infrastructure. According to a company press release, the chipset delivers up to 3.2 terabits per second of throughput across eight channels operating at 448 gigabits per second PAM-4, a signal modulation technology used to increase data transmission speeds. The solution is engineered to support high-performance data processing across cloud data centers, high-speed networking, and next-generation AI infrastructure. Shares of the network chips maker jumped 4.4% in the afternoon session on the news, trading at $264.04, up 4.9% from the previous close. MACOM is up 50.9% since the beginning of the year, but at $264.04 per share it remains 35.5% below its 52-week high of $409.68 from May 2026.
Qualcomm Gives Amazon Warrants Tied to $60 Billion AI Chip Deal
Qualcomm has given Amazon an equity-linked incentive to deepen their AI-infrastructure partnership, with Amazon able to eventually purchase as much as $60 billion of Qualcomm data-center products while purchase-linked warrants could hand Amazon roughly $4 billion of Qualcomm shares at $161.26 each. Qualcomm shares gained approximately 2.1% to $188.64 Thursday, a level 7.37% above the stock's $175.69 GF Value. The warrant value represents roughly 6.7% of the maximum purchasing framework, directly tying Amazon's buying activity to Qualcomm's equity story. The two companies are also working together on custom AI inference silicon and optical connectivity capable of reaching 1.6 terabits per second. No minimum purchase commitment, delivery timetable or margin profile has been disclosed.
TSMC Shares Gain 1.65% as MediaTek Puts 2-Nanometer Chip in Phones
Taiwan Semiconductor Manufacturing's 2-nanometer process has reached mainstream smartphones through MediaTek's Dimensity 9600 Pro, and TSMC's U.S.-listed shares rose about 1.6% to $424.595 Thursday on the news. MediaTek is splitting its newest lineup across two generations: the premium Dimensity 9600 Pro uses TSMC's 2-nanometer process, while the broader-market 9600M stays on the established 3-nanometer node. MediaTek says the Pro chip's neural-processing unit improves prompt handling by 51% over the previous generation, and phones powered by both processors are expected to reach the market soon. The transition remains early in revenue terms: 2-nanometer products were only 3% of TSMC's second-quarter wafer revenue, against 30% from 3 nanometers and 33% from 5 nanometers. The shares trade 16.65% above the GF Value estimate of $363.99, and the key question for investors is whether smartphone adoption scales fast enough to lift 2-nanometer utilization while TSMC protects yields and economics at the advanced node.
Huawei Pulls Forward Ascend 960DT Launch to Early 2027 as Nvidia Gains 2.5%
Huawei has pulled forward its next generation of AI chips, with the Ascend 960DT now slated for an early 2027 launch, roughly three quarters earlier than previously expected, followed by the 960PR in the third quarter, according to Reuters. Nvidia shares gained approximately 2.5% to $219.24 on the news. Huawei's Peerium architecture is designed to eventually link as many as one million processors, while a nearer-term supernode would connect 4,096 chips, directly targeting the system-level advantage Nvidia has built around GPUs, networking and tightly integrated AI infrastructure. Huawei says production still cannot satisfy demand inside China, making manufacturing capacity a potential brake on both domestic adoption and any meaningful overseas expansion. Nvidia's data-center revenue reached $89 billion, accounting for roughly 92.5% of the company's latest $96.2 billion quarter, and it carries a GF Score of 95 out of 100.
Generac Soars 19% on $2.4 Billion Amazon Data Center Generator Deal
Generac struck a deal with Amazon to supply backup power generators for its data centers, with initial deliveries expected to total $2.4 billion between 2027 and 2028, and also granted Amazon the right to buy up to $340 million worth of its stock. Generac shares soared 19% on the news, while Amazon's stock moved 1.3% higher. Fluence Energy shares tumbled 14% after the battery storage maker cut its full-year guidance, now expecting $2.4 billion in revenue for 2026 versus its prior guidance of $2.9 billion to $3.1 billion, and anticipating a loss of $200 million before interest, taxes, depreciation and amortization, more than its previous guidance range of $30 million loss to $10 million EBITDA. Workday rose 5% after CNBC's David Faber reported that efforts to gain financing for a bid to take the cloud-based human resources software platform private are continuing, citing unidentified sources. Tower Semiconductor rose almost 9% after agreeing with privately-held New Photonics to a high-volume shipment of laser-integrated optical engines designed to meet growing demand for high-bandwidth, energy-efficient optical interconnects in AI infrastructure, and Vital Farms climbed 9% after Axios said the Austin, Texas-based pasture-raised egg and butter producer is exploring strategic alternatives, including privatization.
Astera Labs Expands Leo Memory Controllers for AI and Cloud Workloads
Astera Labs unveiled new Leo Smart Memory Controller solutions, including the Leo X-Series and Leo 2 E & P-Series, targeting AI and cloud workloads. The expanded Leo lineup is built for large-scale AI uses such as KV-cache and agentic AI, aiming to improve memory efficiency for hyperscalers. Astera Labs is collaborating with major CPU, GPU, and memory vendors and is showcasing the Leo family at the AI Infra Summit. The company designs connectivity chips that link CPUs, GPUs, and memory inside cloud and AI data centers, and its Leo controllers plug directly into the core plumbing that lets large AI workloads access high volumes of data efficiently.
Meta Could Save $8.5 Billion in 2027 on Custom MTIA Chips, BofA Estimates
Bank of America estimates Meta Platforms could save roughly $8.5 billion in 2027 by running AI workloads on its own custom silicon instead of buying third-party chips, an outside analyst estimate rather than company guidance. The figure rests on a specific roadmap: Meta plans to deploy its third-generation MTIA 450 chip, code-named Arke, in the first half of 2027, followed by the higher-performance MTIA 500, or Astrid, later that year, both co-developed with Broadcom and aimed at AI inference workloads. BofA models Meta deploying 5 to 6 gigawatts of owned capacity in 2027 at a total cost of roughly $200 billion, assumes chips make up 60% of that spend, and pegs Meta's custom silicon as about 40% cheaper than third-party equivalents. Broadcom CEO Hock Tan said custom chips optimized for a customer's own workloads outperform any GPU and can do so at half the cost, and confirmed Broadcom will deliver three generations of MTIA accelerators to Meta between now and the end of 2027. Meta's FY2026 capex guidance sits at $130 billion to $145 billion, narrowed from $125 billion to $145 billion, with total expense guidance raised to $165 billion to $169 billion, while Q2 2026 revenue reached $60.80 billion, up 27.96% year over year, on advertising revenue of $59.36 billion.
Huawei Accelerates AI Chip Roadmap, Sets 2027 Launch for Two New Chips
Huawei is accelerating its push into artificial-intelligence computing, with two new AI chips now scheduled for 2027 as the Chinese technology giant tries to narrow Nvidia's advantage in one of the industry's most strategically important markets. Rotating chairman David Wang said at Huawei Connect in Shanghai that the company plans to launch its 960DT chip in the first quarter of 2027, followed by the Ascend 960PR in the third quarter, an acceleration from its previously disclosed roadmap that had placed the Ascend 960 launch in the fourth quarter of 2027. Huawei is also building UnifiedBus, an interconnect technology designed to allow large numbers of AI chips to operate together as one larger computing system, and has developed 11 chips around UnifiedBus for its supernode and supercluster systems. The company has already shipped more than 1,000 supernode systems to more than 370 customers, systems that combine multiple accelerators to handle workloads requiring substantially more computing power than a single chip can provide. The bigger long-term risk for Nvidia is geographic: if Huawei continues improving its chips and cluster architecture, it could strengthen China's ability to build AI infrastructure without relying on Nvidia hardware and create a more credible parallel AI-computing ecosystem inside China.
Intel Posts MLPerf Inference Gains Across Xeon 6 and Arc Pro GPUs
Intel reported performance gains in its latest MLPerf Inference v6.1 results across Intel Xeon 6 processors and Intel Arc Pro B-series GPUs. Intel Xeon 6980P processors delivered 2.4x higher Llama 3.1 8B Server throughput and 56% higher Offline throughput than MLPerf v6.0 on the same hardware setup, while customer and partner results rose from 29 to 39, with Oracle, Red Hat, Quanta Cloud Technology and Supermicro making their first submissions. Intel expanded Xeon 6 participation from two to five processor models, lifting CPU inference results from 24 to 35, and its Arc Pro B70 GPUs supported workloads including Llama 2 70B, gpt-oss-120B and Whisper, with a four-GPU system offering 128GB of Video Random Access Memory and Server performance up 36% and Offline performance up 27% versus MLPerf v6.0. Intel also co-developed results for the new end-to-end retrieval-augmented generation benchmark, using a system that paired a Xeon 6787P processor with four Arc Pro B70 GPUs to split the workload between CPU and GPUs. Intel faces competition from Qualcomm, which is expanding into AI data-center infrastructure through its Dragonfly platform, and from AMD, which is strengthening its AI infrastructure with the Helios platform.
Microchip's SST Unit Wins AnalogAI as memBrain SAGE Customer
Microchip Technology said its Silicon Storage Technology subsidiary has secured AnalogAI as a customer for its memBrain SAGE intellectual property, a design win that expands the company's exposure to edge AI and neuromorphic computing. The technology combines analog compute-in-memory with ultra-low-power operation to support real-time AI inference and learning directly on edge devices, and AnalogAI plans to use it in processors targeting humanoid robots, drones and vehicles. The win builds on Microchip's technology-licensing momentum, with licensing revenues rising to $42.6 million in the first quarter of fiscal 2027 from $33 million a year earlier, and licensee revenues growing to $163.8 million in fiscal 2026 from $131.1 million in fiscal 2025. Microchip faces intensifying competition in edge AI from NXP Semiconductors, which said AI-enabled processors are expected to represent 15% of industrial and IoT processor revenues in 2026, more than doubling from 2025, and from Texas Instruments, which cited strong demand across robotics, industrial automation and energy infrastructure. Microchip shares have risen 9.2% year to date, trailing the broader Zacks Computer and Technology sector's 16.7% gain, and the stock trades at a forward 12-month price/earnings of 17.31X versus the sector's 20.32X. The Zacks Consensus Estimate for Microchip's earnings stands at 92 cents per share, up a couple of cents over the past 30 days and implying 162.86% growth.
Marvell Data Center Revenue Hits Record $2.17 Billion, 79% of Total
Marvell Technology's data center business reached a record $2.17 billion in the second quarter of fiscal 2027, up 46% year over year and 18% sequentially, and accounted for 79% of total company revenues. The data center end market made up 74% of Marvell's fiscal 2026 revenues, and the company expects data center revenues to grow approximately 60% in fiscal 2027. Marvell reported strong demand for 800G optical DSPs while its 1.6T products ramp rapidly, and scale-out switching is expected to more than double in fiscal 2027 on broader adoption of its 51.2T switch products. The company expects its custom business to accelerate in the second half of fiscal 2027 and more than double year over year in fiscal 2028, driven by XPU and XPU-attach solutions, with an expanded hyperscaler agreement covering AI inference accelerators, storage controllers, network interface controllers, memory interface controllers and near-memory compute. Marvell also expanded its position in next-generation AI infrastructure through its relationship with NVIDIA, including NVLink Fusion, scale-up switching and silicon photonics, and introduced products such as the 102.4 Tbps Teralynx T100 switch. Marvell shares have gained 170.3% year to date, and the Zacks Consensus Estimate for fiscal 2027 earnings suggests year-over-year growth of 48%.