Azure capacity and enterprise AI adoption can sustain durable growth, while Microsoft’s platform reach turns infrastructure investment into broader monetization.
AI infrastructure spending is raising capital and execution risk faster than proven monetization, while concentrated dependencies and pricing pressure threaten returns.
Azure growth remains strong and accelerated, demonstrating that the company is successfully leveraging its enterprise AI platform to drive efficiency and revenue.
The company is transitioning into a capital-intensive infrastructure business, evidenced by rising capital expenditures, declining free cash flow, and potential future equity financing needs.
Outside of earnings, Semis -2.2% with some pointing to the lower than expected headline capex #s from GOOGL/MSFT although q-specific reasons for each of those.
META +1% getting some love after the GOOGL miss. Neoclouds lower with NBIS -7% as some speculating the MSFT 3p capacity delay is them.
The returns on that capital lean on things MSFT doesn’t control. OpenAI is now ~11% of revenue vs. ~7% in FY26, and it’s a loss-making counterparty diversifying to TPUs, ORCL and AWS. Token pricing is set by frontier-model launches. Neocloud capacity just s...
Oppenheimer sees healthy enterprise demand supporting sustained Azure/M365 acceleration, with Azure growth approaching 50% as incremental capacity becomes available.
The company plans to double data-center capacity over two years, and Maia 300 deployments are expected to begin in 2027, offering better AI economics with more tokens per MW than leading GPUs.
Copilot is evolving from an Office upsell to a broader enterprise execution platform, with monetization tied to users and workloads.
Truist expects Azure to outperform its guidance and sustain high-40s growth as capacity unlocks, efficiency improves, and Copilot/agentic workloads scale.
The company's financial durability is a key advantage, with the tightest CDS spreads among hyperscalers/AI infra peers and expected to remain FCF positive in CY27 despite elevated AI capex, providing flexibility if AI monetization takes longer.
Truist expects Azure to outperform its guidance and sustain at least mid-40s growth as capacity unlocks, enterprise AI broadens, and Microsoft becomes a key orchestration/control plane for agents.
The company's CSP marketplace, Foundry, is a significant channel for Anthropic's revenue, indicating a strong partnership in the AI ecosystem.
Upcoming earnings reports from hyperscalers, including Microsoft, are expected to provide positive insights into October trends, suggesting a favorable outlook.
The company's buyout offers to employees could lead to significant annualized savings, providing a positive EPS tailwind in CY27.
Arun Dhar asked in Slack here “why isn’t it reacting like a clearing event?” …DR pushed back that MSFT and AMZN capex is accelerating >20pp each while META is unlikely to accelerate even ~10pp, and he expects more issuance for 2028. ALC‘s math here: ~$...
The company's capex is accelerating significantly, which could imply more equity issuance in the future.
The company's buyout offers to employees are expected to result in a Dec-quarter charge, impacting EPS.
In macro land, rates flat into Wednesday’s FOMC: 10Y -1bp to ~4.98% and 2Y +2bps to ~4.71% after a soft $69B 2Y auction. ~91% odds of a hold Wednesday, the same afternoon GOOGL and MSFT report, with the market looking for hikes to resume in December. Crude...
Estimates for future fiscal years were raised, with Azure and Copilot identified as core upside engines.
Azure is expected to show strong growth, supported by significant quarterly data center additions and commercial RPO.
Enterprise AI monetization is a major bull case, with a high percentage of CIOs using/planning to use Copilot and considering Microsoft for cloud AI infrastructure.
Copilot is increasingly framed as the enterprise operating layer across various applications, data, security, and governance.
The price target was raised, indicating increased confidence in the stock's future performance.
The company dominates across cloud AI, infrastructure software, and Copilot, with AI wallet share rising and a significant portion of AI funding coming from net-new budgets.
MSFT dominates across cloud AI, infrastructure software and Copilot, while SNOW is the strongest next-tier infrastructure beneficiary and CRWD/PANW benefit from cybersecurity budgets +6.9% and AI security leading incremental spend. The key risk is ROI: only...
A key risk is the return on investment (ROI) for AI initiatives, as only a small percentage of CIOs report measurable enterprise-wide AI returns today, and most expect only a fraction of agent pilots to reach production.
UBS says CRWV’s ~37% October drawdown and wider CDS spreads reflect a broader loss of confidence in capital-intensive, leveraged AI infra rather than a fresh company-specific crack; GPU pricing and up-stack trends remain encouraging. Still, UBS expects conf...
JPM expects F1Q Azure growth to be above the updated 44-45% constant currency guide, and M365 Commercial Cloud to accelerate to approximately 17% constant currency from 15% last quarter, supported by E5/E7 mix and continued Copilot seat additions.
JPM models F1Q revenue of $90.5B, including Azure at $32.2B and M365 Commercial Cloud at $25.6B, with the more important catalyst being sustained Azure/M365 acceleration into F2Q.
MSFT: JPM sees Azure + M365 upside driving estimate revisions; CapEx trajectory is the key debate
FY27 CapEx guidance is the main watch, as capacity additions remain critical to growth.
BMO raised its price target to $600, seeing upside to Azure despite lowering FY27 growth, as checks suggest Microsoft is shifting customers to committed-consumption contracts, strengthening visibility and supporting 1H Azure upside.
The shift to committed-consumption contracts should also help M365 ARPU as seat growth slows.
META is seeking another ~6.5GW by YE28, ORCL has resumed leasing with NVDA credit support which Cowen views as an indication of future RPO growth, and GOOGL/MSFT remain active. The bigger issue is execution: 2027 equipment slots are already oversold, build...
OJ here: backing out large customers and distillation from the disclosures, OJ gets only ~$5.5B of net new ARR in Aug/Sep, which makes the $100-110B year-end target look “completely fanciful,” with maybe ~$120B of FY27 revenue, nowhere near the $190-200B FY...
Azure growth is expected to accelerate, supported by capacity expansion and the increasing contribution of Copilot to revenue.
SemiAnalysis argues 2027 data-center growth is materially underestimated, forecasting ~50GW of new capacity in a single year with >24GW already in advanced construction across just 40 campuses and ~60GW under construction more broadly. The key leading indic...
MSFT: MS sees Azure upside surprise, with capacity ramp supporting sustained acceleration
Software: BNP reseller survey rebounds; ORCL + GenAI stand out, MSFT/SNOW also strong
Microsoft told NYT DealBook that its exit from Nscale's UK data center relates to a single site and the partnership stands, alleviating concerns about broader issues.
Bernstein believes the setup remains favorable, with Azure growth expected to accelerate into the high-40s and M365 Commercial Cloud approaching 20%, driven by Azure revenue growth outpacing Capex and Copilot reaccelerating Office growth.
Morgan Stanley sees Azure as the key upside lever into F1Q27, with the buyside needing approximately 47% constant currency growth (vs. 44-45% guide) and a Q2 guide holding year-over-year growth roughly stable.
Capacity is an incremental driver, with approximately 3.25GW coming online in FY26 and another approximately 4.25GW expected in FY27, and deployment-to-revenue readiness has improved over 50%.
M365 also needs over 17% constant currency growth, with Copilot/AI share gains supporting acceleration.
BNP reiterates OP on ORCL/MSFT/SNOW and remains cautious on ADBE/IBM/ZM, which ranked among the weakest demand trends.
UBS raised its price target, noting that investor expectations for Azure and M365 have increased, with checks and OpenAI upside, strong AI capacity additions, and GPU pricing supporting potential upside.
M365 expectations are also rising as Copilot shifts towards usage-based pricing and AI security adoption broadens.
Lots of debate about how much distillation/META/MSFT headwinds affected the Q3 number (along with slower summer seasonal months + Astra’s release in September) with a rough estimate probably around $4-7B, which would have put ARR in mid to high 70s range. N...
Piper's partner survey shows MSFT as the clear leader in app software, with high net performance and prepackaged-AI adoption.
MSFT remains the clear leader at +77% net performance and 82% prepackaged-AI adoption, followed by NOW +55%; HUBS improved to +36%, while FIG showed more bifurcation/AI displacement risk. Anthropic remains the most strategic AI vendor ahead of MSFT/OpenAI,...
Citi projects Azure growth at 46-47% in FQ1 and above 48% exiting FY27, exceeding Street expectations, driven by higher capex and strong Copilot adoption.
The Information reports that Azure's president asked leaders in a software unit to identify at least 20% cost reductions due to rising infrastructure and talent costs, though Microsoft disputes the report.
Bears point to reports that Azure's software unit was asked to find 20% cost cuts, although the company disputed this.
A CIO survey by MS indicates that Microsoft is leading in AI orchestration, reinforcing its enterprise AI flywheel, with 20% of CIOs placing MSFT first, ahead of LLM providers, GOOGL, and AMZN.
The survey shows that 30% of CIOs expect Microsoft to be the biggest gainer in GenAI spend share, an increase from 27% last quarter, and Azure leads in budget-share intentions with a +43% increase.
Despite concerns about token ROI, MS believes that scrutiny will favor Foundry-style orchestration, and AI/ML spending is still projected to significantly increase as a percentage of public cloud spend over the next three years.
Microsoft's Scott Guthrie expects prolonged storage shortages and intense model price competition, but also indicates that Microsoft will continue to purchase chips from Nvidia, AMD, and Intel as its own Maia program expands, suggesting continued investment in AI infrastructure.
MRVL: Stifel says MSFT Maia 300 validates multi-GW Custom ramp, with inference becoming major growth driver
MSFT +42bps: MS’s CIO survey puts MSFT #1 in AI orchestration (20%% vs. 17%% for the LLM providers).
Microsoft is an initial customer for AMD's Helios, with systems installed and running, indicating early adoption of AMD's new GPU architecture.
MRVL +1.1% came back from -6.5% at the lows as MSFT walked through Maia 300 at OCP.
CRM +2.1% faded most of a +5.1% pop on BofA’s double upgrade to Buy, reversing its AI-disintermediation call: enterprises won’t replace platforms that hold their business logic, data, workflows and compliance (now 16x CY27 EV/FCF vs 9x before, peers 15x). T...
Free open-source alternatives to Word, Excel, and PowerPoint, built with Claude, have been released, and Autodesk-oriented CAD tools are under discussion, potentially posing a long-term competitive threat.
The newly released open-source software, while currently short of commercial products, represents a growing trend of free alternatives.
ANET: Citi says Etherlink scale-up launch opens ~$10B incremental TAM, with MSFT Maia collaboration
BofA says Oracle could exceed ANET’s 10% customer threshold in 2026 as Stargate ramps, with tier-2 cloud already ~13% of 1H26 revenue and +49% y/y; META/MSFT should remain 10% customers. Google is also emerging through scale-out/scale-across, which BofA est...
Citi says ANET’s Etherlink SU-144 extends Ethernet into scale-up, opening a ~$10B 2027 TAM and broadening AI exposure beyond scale-out/scale-across. Citi views the launch as evidence ANET is helping drive the emerging ESUN standard, with MSFT working with A...
A multi-model AI environment increasingly favors the company's integrated Azure/Fabric/Foundry/Copilot stack, strengthening its full-stack moat and enabling monetization across various layers.
Fabric is already generating significant annualized revenue, and a large number of customers use both Fabric and Foundry, indicating strong adoption and growth.
The company's ability to monetize the same AI workflow across infrastructure, data, orchestration, and applications while remaining relatively model-agnostic strengthens its consumption flywheel.
The launch of Nvidia-powered Windows laptops, available for preorder and shipping soon, demonstrates the company's expanding presence in the consumer and developer markets.
MS says a multi-model world increasingly favors MSFT’s integrated Azure/Fabric/Foundry/Copilot stack: Azure runs the models, Fabric provides enterprise context, Foundry orchestrates/model-routes and Copilot distributes AI to users, with Maia/Cobalt adding f...
The company's datacenter capacity is projected to significantly increase by FY30, supporting substantial Azure AI revenue growth.
A bull case scenario suggests even higher datacenter capacity and Azure revenue, leading to significantly higher EPS.
Upside is expected from faster dock-to-live times, demand for OpenAI/always-on agents, and improved monetization.
Copilot penetration is expected to increase significantly by year-end due to relaunch efforts and free trials.
Renewal recapture rates are strong, and E7 upgrades are accelerating.
Azure has no capacity constraints, and Fabric is experiencing rapid growth, driving incremental account spending.
JPM says a large distributor/MSFT CSP expects Copilot penetration ~7x by FY-end as relaunch/free trials reduce friction, with Cowork/Code adding consumption rather than displacing frontier models. Renewal recapture is ~130–140% vs. ~125% baseline, E7 is acc...
Melius upgraded the stock, citing that AI fears are pushing enterprises towards a trusted layer, which benefits Microsoft.
The company is being carved out by enterprise buyers who are trimming big ERP, database, and CRM renewals to fund cyber and hardware investments.
Anthropic: The Information reported at 2:15pm that META and MSFT, two of its biggest corporate customers, are working to wean staff off Claude: MSFT cut its projected internal Claude spend to under $700M from at least $1B, steering employees to fewer Claude...
MSFT +1.5% had Melius upgrading on AI fears pushing enterprises toward a trusted layer. A check we heard lines up with that split: buyers are funding cyber (and hardware) by trimming big ERP, database and CRM renewals, with MSFT carved out.
The company cut its projected internal Claude spend to under $700 million from at least $1 billion, steering employees towards fewer Claude queries and its own tools, although some of that spend is reportedly moving to OpenAI.
The company received an upgrade due to AI fears driving enterprises towards a trusted layer, suggesting a preference for established providers in the AI space.
Buyers are reportedly funding cyber and hardware by reducing spending on large ERP, database, and CRM renewals, with Microsoft being carved out as an essential spend.
Anthropic: The Information reported at 2:15pm that META and MSFT, two of its biggest corporate customers, are working to wean staff off Claude: MSFT cut its projected internal Claude spend to under $700M from at least $1B, steering employees to fewer Claude...
MSFT +1.5% had Melius upgrading on AI fears pushing enterprises toward a trusted layer. A check we heard lines up with that split: buyers are funding cyber (and hardware) by trimming big ERP, database and CRM renewals, with MSFT carved out.
Wells expects FQ1 Azure growth to exceed guidance, with a similar outlook for FQ2 as capacity continues to ramp.
Copilot checks are improving, with the company reportedly using seat discounts to drive consumption commitments.
FY27 margin/FCF expectations remain largely unchanged, and FY28 estimates were nudged higher on Azure, indicating a positive financial outlook.
Wells Fargo projects Q1 Azure growth to be above guidance, with improving Copilot checks.
SPCX -1.9% The Information reported its AI unit has turned itself into an AI cloud, already generating billions of dollars a month in commitments from labs including Anthropic and Google, and held talks with MSFT over the summer to lease it capacity.
The company has significant revenue upside potential from the migration of E5 seats to the new E7 SKU and the scaling of Copilot/Cowork consumption revenue.
MRVL: Jefferies expects Investor Day to raise LT targets, with MSFT the key swing factor for custom XPU upside
Jefferies expects MRVL to target $40B+ of FY30 revenue, including ~$22B of Custom and nearly $15B of Optics, with switching/storage also improving as 51.2T ramps and 102.4T becomes more meaningful in C28/C29. The biggest swing factor is MSFT: Jefferies sees...
MRVL +4.5% as MediaTek fell 7.1% in Taipei on rumors that GOOGL’s TPU v9 (HBM4E) work could shift to MRVL; MediaTek called the order-loss claims false. Investor day is next Tuesday (10/6), where Jefferies expects a $40B+ FY30 revenue target (~$22B custom, ~...
William Blair believes expanded M365 Copilot shifts Microsoft towards a broader enterprise AI platform and consumption model, deepening its move beyond per-seat productivity software.
New Copilot features like Home, Code, and Autopilot deepen Microsoft’s move towards persistent agents, app/workflow creation, and usage-based AI consumption.
Paid Copilot penetration remains low, leaving substantial runway for growth, while integrations and new AI FinOps tools strengthen governance and enterprise deployment.
Jefferies believes new Copilot/Autopilot capabilities strengthen M365 agentic monetization by moving Copilot from delegated tasks to persistent, recurring agentic workflows, expanding monetization beyond seats into consumption-based usage.
Jefferies views Autopilot as a potentially differentiated enterprise equivalent of Muse, leveraging Microsoft’s proprietary enterprise data/workflows and broader M365 stack.
RBC expects MRVL to raise its FY29 Google custom-silicon opportunity by at least $2B from the current $10B+ framework and potentially lift MSFT XPU expectations as Maia 300 ramps.
NVDA +1.7% after adding $150B to its buyback (to $235B, the largest-ever US authorization), launching an Open Agent Safety Platform on a day AI-agent breaches were in the headlines, and The Information reported China is weighing approvals for BABA/ByteDance...
NVDA was the standout +1.7% in semis after announced $150B buyback on top of their existing authorization. Software -55bps held in far better than the headline of the day would suggest (META going after enterprise AI with MDB’s -18% CEO) as cyber ripped and...
BNP Paribas says Nebius’ outlook has improved meaningfully, with a path to ~$22B+ ARR exiting 2027, ~30% above consensus, as META/MSFT capacity ramps and incremental capacity reprices higher.
Management framed agentic identity as potentially one of the largest future categories in cybersecurity, with Okta for AI Agents able to sell independently of a customer’s existing workforce identity provider, opening the door to Microsoft Entra environment...
Azure year-over-year capacity growth moderated through mid-September compared to August.
Stifel upgraded the stock to Buy and raised its price target, anticipating reaccelerated Azure and M365 AI monetization due to improved capacity efficiency, new capacity, and rising OpenAI-related revenue, with demand still exceeding supply.
Stifel noted that Azure's upside would increasingly come from better infrastructure efficiency, new capacity coming online, and rising OpenAI-related revenue, as demand continues to outstrip supply and recent improvements in dock-to-live processes free up capacity faster.
Stifel highlighted the growth in M365 Copilot seats to approximately 30 million in Q4, a 10 million increase quarter-over-quarter, along with growing GitHub consumption, as support for sustained mid-to-high-teens M365 growth.
Microsoft plans significant Copilot discounts, ranging from 30% for customers buying over 1,000 seats to 50% for over 10,000 seats, along with commitments to usage-based payments, which could impact revenue per seat.
Oppenheimer raised its price target to $570 after a headquarters meeting with management, seeing Azure/M365 acceleration and better capital expenditure discipline.
The meeting reinforced confidence that Azure and M365 Commercial can sustain acceleration into FY27 as Copilot monetization strengthens, more compute comes online, and enterprises increasingly standardize on Microsoft as their primary AI platform.
Management's tone was positive on demand and agentic adoption, with Azure demand still above capacity through year-end even as GPU dock-to-live times have improved approximately 50% over the last twelve months.
MSFT +1% leading Mega caps higher while META -70bps digesting yesterday’s big move (2nd biggest non EPS ever). Here’s META fwd returns after big moves (h/t J. Fazzuza at Jefferies for the idea):
Meetings with IR reinforced that several AI decisions over the last three years, including front-loaded capex, balancing capacity, and building a model-agnostic platform, are now yielding positive results.
All of Q4's $51B increase in Remaining Performance Obligation (RPO) came from enterprise customers, and Agent 365/E7, governance, and FDE support are strengthening the company's enterprise AI positioning.
The next key proof points are expected to be MAIA/MAI improvement and continued momentum in the enterprise platform go-to-market.
Mizuho says checks remain constructive on AMZN Trainium3, SpaceX’s targeted 7– 10GW 2027 ramp and continued MSFT/META/ORCL deployments, while 1.6T AEC adoption is still early and could surprise higher next year. Mizuho also sees a longer GB300 tail into 202...
The company announced a partnership with Nokia to combine Microsoft Fabric with Nokia Data Suite, supporting agentic AI operations.
The partnership will allow telecommunication providers to access reliable data faster and simplify data integration.
The offering will enable AI to perform analysis and operations to improve coverage quality.
ORCL -3.5% and DOCN -2.5% the big losers caught in the AI sell off, while SNOW +1% TWLO +2% & MSFT +2% underperformed given they are 3 of the most longed stocks in sw and preference was for laggards today.
The stock underperformed, despite a slight gain, due to its status as one of the most longed stocks in software, with preference shifting to laggards.
Microsoft is planning a significant data center expansion to more than triple its global capacity by 2032, with a substantial portion dedicated to AI, indicating strong commitment to meeting compute demand.
The buildout aims to relieve compute shortages that have constrained Azure/GitHub growth and pushed some customers to rivals, suggesting that increased capacity will directly address growth bottlenecks.
The company's current data center build rate is already substantial, and recent starts, leases, and Neo deals have inflected, suggesting an acceleration that could catch up to competitors by 2028.
Edge is positive on CoPilot Cowork, noting its scaling since June/July General Availability and its success in data access and governance.
Fourth-quarter results strengthened the AI bull case, with accelerating Azure growth and a significant increase in paid M365 Copilot seats.
Microsoft's model-agnostic Copilot strategy is improving economics by routing workloads to cheaper models, and full-stack optimization is enhancing throughput and reducing serving costs.
Efficiency gains are expected to support better margins and return on invested capital, leading to an increased target multiple.
The stock showed decent outperformance compared to the broader market.
Azure AI demand is broadening beyond frontier labs, and M365 Copilot monetization is accelerating through wall-to-wall deployments.
The company remains a primary long-term competitive risk due to its ability to use account control, bundling, and price as competitive tools.
The company remains the most important established risk in the identity security market, with the agent-security market being crowded and immature.
Meta has become one of Microsoft’s largest AI customers, spending hundreds of millions annually on Azure Foundry and consuming trillions of tokens weekly, including OpenAI models.
OpenAI contributed approximately 70% of Microsoft's AI revenue last fiscal year, indicating strong performance in this segment.
Microsoft’s AI revenue remains highly concentrated among tech companies, with OpenAI contributing approximately 70% of AI revenue last fiscal year.
The stock showed decent price action with a slight gain.
NET -2%/SNOW -2%… MSFT +25bps decent action.
Microsoft’s advantage is increasingly the enterprise control plane, encompassing data, identity, security, governance, and workflow context.
M365 Copilot adoption has accelerated to over 30 million paid seats.
The new $99/month E7 bundle creates another monetization path around AI, security, and agent governance.
The AI capex burden is manageable, with current demand exceeding supply, new capacity monetizing quickly, and a framework implying approximately 21–27% steady-state ROIC on AI infrastructure.
The Microsoft AI bull case has become more nuanced as investors debate Copilot adoption, OpenAI dependence, capex intensity, and neocloud competition.
Reports indicate Azure growth in the mid to high 40s, which is above Street expectations.
Accelerating cloud growth, disciplined infrastructure investment, and Copilot monetization support a strong long-term revenue and earnings trajectory.
MSFT/CRM: JPM Initiates Overweight on Both, Seeing AI Infrastructure/Copilot Upside at Microsoft and an Overdone Bear Case at Salesforce
JPM initiates MSFT at Overweight with a Dec-27 PT of $625, arguing accelerating Azure and M365 Commercial Cloud growth, disciplined AI infrastructure buildout and underappreciated Copilot monetization should support high-teens revenue/EPS CAGR with improvin...
Microsoft plans to sharply ramp production of its next-gen Maia 300 AI chip, targeting capacity for 300K+ chips in 2027 and ultimately more than 1M, despite limited uptake of Maia 200 so far.
Microsoft expects to unveil Maia 300 this fall and is trying to win external customers, including Anthropic, while also shifting more internal AI workloads off Nvidia.
Microsoft believes Maia can run OpenAI and its own models at materially lower cost, with Maia 200 being 30-40% cheaper to operate than cutting-edge Nvidia chips, and Maia 300 performing even better internally.
Despite its efforts, Microsoft still trails Google/Amazon in custom AI silicon scale.
Microsoft’s renewed capacity push, with over 10GW of binding commitments already signed, makes it a natural large-scale customer for SpaceX’s rapidly expanding compute infrastructure.
SpaceX's 3–5 month deployment timelines could help Microsoft relieve its compute bottleneck and monetize OpenAI models at much higher revenue per MW through Azure, Foundry, and Copilot.
Bernstein reiterated Outperform and raised its price target to $660, arguing Microsoft is taking a more measured approach to AI capacity than implied by headline capex and lease obligations.
Data-center square footage and annualized future lease costs are growing slower than Commercial Cloud revenue, and most purchase commitments are near-term and tied to reusable power, cooling, and general cloud infrastructure rather than GPUs.
Microsoft can flex facilities between CPU and GPU workloads, limiting downside if AI demand slows, and the overbuild bear case materially overstates stranded-capacity risk.
SPCX/MSFT: SemiAnalysis Sees 10GW SpaceX Build in 2027 Driving Massive Compute Monetization Upside SPCX/MSFT SemiAnalysis SpaceX 2027
The stock experienced positive follow-through after solid earnings, indicating continued investor appetite for buying names post-earnings, especially when numbers accelerate and the narrative improves.
Microsoft is benefiting from the hyperscaler bid, with SemiAnalysis suggesting it is a natural customer for SpaceX's expanding compute infrastructure, potentially leading to significant Azure growth.
The stock saw continued positive follow-through after its Azure acceleration and the CEO's successful navigation of the ROI narrative.
Flows continue to enter the name after significantly underperforming all year.
The stock is at the top of the hyperscaler investor pecking order.
MSFT sits at the top of the hyperscaler investor pecking order (along with AMZN although Bezos selling has taking some wind out of the latter NT). Stock is only +3% YTD and still down 5% LTM.
The stock is only up 3% year-to-date and still down 5% over the last twelve months, indicating recent underperformance despite current positive momentum.
The company's cloud accelerations and focus on ROI excited investors, marking a turning point in the trade.
Azure acceleration contributed to the positive market sentiment, indicating strong performance in its cloud services.
Hyperscaler ROI, a key performance indicator for the AI trade, came in better than expected.
Azure materially beat expectations with 43% growth for the quarter and guided to 45% growth, indicating strong demand exceeding supply and an inflection point for the company's narrative and numbers.
Copilot adoption significantly inflected with 10 million quarterly additions, reaching 30 million seats, which was double sell-side expectations.
Margins beat expectations, and the company's management effectively communicated a strong return on investment for capital expenditures.
The company's capital expenditure for CY26 was not increased, despite strong performance, suggesting capital discipline.
Azure growth accelerated due to higher CPU/GPU utilization, faster capacity delivery, reduced stranded capacity, and incremental GitHub Copilot consumption, with management reiterating expected acceleration in H1 FY27.
Demand continues to outstrip available supply, and commercial bookings grew 18% excluding OpenAI, with all sequential RPO growth coming from non-frontier-model customers, indicating broad enterprise demand for Azure.
Paid M365 Copilot seats increased significantly, with large deployments expanding and underlying M365 Commercial Cloud growth improving, and management expects further acceleration as Copilot and other products contribute more.
The company is moving towards a seat-plus-consumption pricing model for Copilot, which provides a recurring subscription floor and allows revenue to scale with agent activity and token usage, as demonstrated by GitHub Copilot's success.
Management expects to remain Free Cash Flow (FCF) positive in FY27 despite growing capital expenditures, which mitigates the bear scenario of sustained FCF burn due to infrastructure spending.
Gross and operating margins beat Street expectations, with F1Q27 guidance implying further operating margin improvement, partly due to lower OpEx guidance.
The company is positioned as a model-neutral enterprise AI control plane, allowing customers to combine various AI models while maintaining enterprise context and security, and its first-party models and silicon offer cost and margin advantages.
The company is emerging as the broadest enterprise AI platform, monetizing across various services, with Azure's acceleration and demand exceeding supply suggesting multiple quarters of elevated growth, and RPO growth from non-frontier-model companies indicating broad adoption.
Copilot is becoming a significant second AI growth engine, with substantial increases in paid seats and large deployments, and the addition of consumption economics on top of seat licensing creates a recurring revenue floor and upside potential.
The company demonstrates capital discipline relative to growth, with underlying CY26 investment not raised despite strong Azure performance, and expectations for positive FY27 FCF and minimal operating-margin compression suggest it can fund AI buildout through internal cash generation.
The Azure beat might be more attributable to capacity timing and efficiency improvements rather than a sustained increase in underlying demand, meaning growth could normalize faster once supply catches up or customers optimize workloads.
Capital intensity remains a significant financial concern, with substantial economic investment in CY26, expected capex growth in FY27, and a decline in FCF despite strong operating cash flow, while accounting changes for capex do not alter underlying asset commitments.
Gross margin has declined for multiple quarters, and headwinds from AI infrastructure mix, product usage, depreciation, and component inflation could persist longer than anticipated, potentially offsetting efficiency gains.
Copilot adoption is still early relative to the total installed base, with only a small percentage of M365 seats, and large enterprise deployments may involve significant discounting.
Bears will seek evidence that Copilot usage remains high post-deployment, consumption revenue is incremental, and seat-plus-usage pricing does not lead to customer budget resistance or increased revenue volatility.
Outside of AI, CRM sales cycles are lengthening, Windows and devices remain weak, and billings growth decelerated, indicating some unevenness in underlying software demand.
Azure's growth number was very strong, exceeding both guidance and buyside expectations.
Co-pilot additions were better than expected, reaching 30 million seats.
Revenue and EPS comfortably beat Street estimates.
RBC identified MSFT as a defensible name, arguing that fully burdened DIY AI software costs preserve vendor defensibility, making internal builds more expensive, less secure, and lower quality.
Guggenheim reiterated Buy and its price target, expecting MSFT to at least meet F4Q revenue expectations and guide F1Q27 in line, with most upside concentrated in Azure and M365 Commercial.
Guggenheim sees Azure growth near 40.5% versus Street at 39.7% and believes F1Q27 Azure could reach 42.1%, about 120bps above Street, while M365 Commercial should land near 13.8% with limited upside before recent pricing and bundling changes contribute more meaningfully.
Guggenheim also sees upside to Windows OEM in F4Q.
The stock bucked the weakness seen in META and AMZN.
Checks from FundaAI indicate a significant ramp-up in Copilot additions during the June quarter.
MSFT +2% bucking the META/AMZN weakness. Bogeys here sit around 41-42% for the Azure guide. FundaAI was out saying their checks showing big ramp up in co-pilot adds in the June quarter.
Investors will focus closely on FY27 capex, which could rise roughly 60% versus Street expectations.
The company is coaching its sales team to compete vigorously against Anthropic and OpenAI by highlighting its lower costs, better security controls, and more complete suite of products.
Durable demand for Copilot and steady Azure momentum support faster growth through 2030.
IT SPENDING: MSFT/AMZN Lead Bernstein CIO Survey as AI Spending Stays Strong but U.S. H2 Expectations Weaken
Bernstein’s mid-year CIO survey still points to strong 2026 IT budget growth, but U.S. respondents cut second-half expectations while European CIOs turned more constructive. Cybersecurity, GenAI applications and platform software remain the top priorities,...
Higher capital expenditure requirements for data centers may weigh on near-term operating margins.
KeyBanc reiterates Overweight, raises estimates and lifts its price target to $155 from $110, citing outsized server CPU demand from agentic AI, with Intel capacity supporting 25%–30% unit growth this year and more than 50% next year. The firm says 18A yiel...
Goldman sees a positive risk/reward into the 4QFY print, with expectations reset low.
Fundamentals have improved while expectations sit low.
Goldman models 40-41% constant currency Azure growth, a second straight supply-constrained acceleration.
Goldman raised FY28 capital expenditure approximately 10% to $319 billion.
Key to outperformance includes Azure beating expectations even as internal workloads scale, progress on Maia/AMD second-sourcing, and better Copilot seat monetization.
Goldman reiterated a Buy rating and a $610 price target.
The stock's post-3Q underperformance is attributed to three overhangs: capital expenditure revisions skewing away from Azure, memory-cost exposure via Nvidia, and Copilot disintermediation risk.
The stock was down due to the implication of higher capital expenditure numbers.
The company is replacing OpenAI and Anthropic with its own models in some applications, such as Excel and Outlook, to reduce AI costs.
Tens of thousands of AI prompts in widely used spreadsheet and email applications are now being completed each week with Microsoft’s internally built MAI models.
Hyperscaler AI capex should continue expanding, supporting "token path" winners.
D.A. Davidson argues Microsoft has already established itself as the leading enterprise AI orchestration layer through Copilot, positioning it to capture a disproportionate share of enterprise AI spending as organizations adopt multiple frontier models.
The firm believes enterprises increasingly need a software layer to route queries across models while balancing cost, performance, and privacy—an advantage Microsoft has already built into Copilot.
D.A. Davidson also expects Azure growth to accelerate while CapEx growth moderates, improving investor confidence in AI returns and supporting multiple expansion.
Wolfe remains bullish long term, viewing the near-term earnings reset as a cost of capturing a larger long-term AI opportunity.
Wolfe lowered its price target to $525 from $570 after raising FY27 CapEx to $270B from $230B to reflect higher AI infrastructure costs driven by memory inflation.
The firm now expects negative FY27 free cash flow and lower gross margins.
Wolfe cut its numbers and price target due to higher memory costs pressuring near-term margins, expecting negative FY27 cash and lower gross margins.
Microsoft remains the clear leader in cloud spending, with 68% of CIOs planning to increase Azure spending over the next two years, significantly higher than competitors.
Azure is expected to extend its leadership as AI workloads increasingly move to the cloud.
The firm believes a broader ruling on antitrust and digital markets could ultimately benefit other large platform companies, including GOOGL, AMZN, and MSFT, by providing greater protection against expansive antitrust remedies.
Microsoft plans thousands of job cuts, impacting less than 2.5% of its workforce, including roles in sales, consulting, and the Xbox gaming division.
The company is a vendor alongside Pure Storage in the enterprise data stack, benefiting from Pure's new Data Intelligence and Data Stream offerings.
Microsoft's CEO Satya Nadella believes the new model for AI deployment will be more democratized, with societal benefits that are widely shared and where companies avoid dependency on a small group of frontier models.
The stock experienced weakness due to ongoing issues plaguing its narrative.
Microsoft has made significant AI inroads in China by selling OpenAI models, with ByteDance being a major customer and other Chinese tech firms also spending significantly on AI models via Azure.
Bernstein argues that Microsoft’s decision to source capacity from third-party cloud providers indicates an AI infrastructure shortage, not weakening demand, and that Azure demand remains well above available capacity.
Bernstein views Microsoft’s use of AWS and Oracle as evidence that AI demand is outstripping supply, supporting a more bullish outlook for Azure growth as capacity comes online and demand normalizes.
The company's Q tracking is in line with expectations, benefiting from better capacity and end market conditions.
The company is facing AI competition, which is balancing out the positive factors in its Q tracking.
The company is turning to a rival, Amazon, to address AI-driven capacity issues on its GitHub coding platform, following a series of outages.
The stock continues to disappoint long-term investors.
The company reportedly withdrew from a $3 billion deal to lease Oracle cloud capacity due to security concerns.
Cleveland's checks indicated mixed results, with in-line Q performance and better capacity/end market demand balanced by increased AI competition.
The company is reportedly turning to AWS to address capacity issues on Github.
Jefferies is more constructive on MSFT, believing investors underestimate the long-term monetization opportunity from Copilot and agentic workflows.
The firm highlighted GitHub’s shift toward hybrid seat-plus-consumption pricing as evidence that AI monetization is expanding beyond traditional per-user models, with agents creating a much larger consumptive TAM.
Management noted Azure remains capacity constrained, with powered-shell infrastructure as the primary bottleneck, though M365 efficiency gains are freeing up capacity for higher-value Azure workloads.
Jefferies also sees an improving margin setup as OpenAI revenue-sharing rolls off and efficiency gains from custom silicon, model optimization, and software begin to flow through.
Jefferies was positive after investor relations meetings, noting that Copilot monetization is inflecting higher.
Azure remains capacity constrained, and efficiency gains across M365 are helping free up capacity that can be redeployed into higher-value Azure workloads.
The company's strategy focuses on being the substrate for AI learning loops, monetizing the shift regardless of which model wins by providing compute, agent runtime, governance, tuning tools, and devices.
The company is well-positioned to capture incremental value in the security value chain due to its broad telemetry, workflow ownership, and closed-loop security capabilities.
remediation, response, governance, and audit workflows. As a result, platform vendors with broad telemetry, workflow ownership, and closed-loop security capabilities—such as PANW, MSFT, CRWD, GOOGL, and CYBR—appear best positioned to capture incremental val...
Microsoft management remained constructive on AI and broader enterprise demand, arguing AI spending is additive to cloud and digital transformation budgets.
Evercore highlighted accelerating Copilot adoption, growing evidence of customer ROI, and increasing deployment of agentic workflows.
Management reiterated that capacity remains the primary constraint, not demand, while positioning Microsoft as the orchestration layer for a multi-model future.
AI monetization is expected to increasingly shift beyond seat-based pricing toward consumption and outcome-based models.
Microsoft is fully embracing OpenClaw, with its first proactive AI agent for Copilot, Scout, powered by OpenClaw, and Microsoft contributing its security guardrails back to the project’s open-source ecosystem.
Microsoft is acting as a platform company by embracing OpenClaw, controlling the ground it stands on, and riding the agent wave.
Truist came away from Build more constructive on Microsoft’s AI strategy, highlighting the introduction of seven new proprietary MAI models, expanded Copilot capabilities, and a growing focus on enterprise AI orchestration.
MAI-Thinking-1 is a notable milestone, as Microsoft is building differentiated reasoning models optimized for enterprise workloads, governance, and cost efficiency.
Copilot’s evolution into a broader AI operating layer through Copilot Tuning and new Autopilot agents allows it to execute workflows using organizational context, memory, and enterprise controls.
Microsoft’s biggest advantage remains its ability to act as the control plane for a multi-model AI world, leveraging its distribution across Azure, Microsoft 365, GitHub, Dynamics, and Teams.
Wells Fargo raised its price target to $650 from $625, arguing investor focus is shifting from infrastructure spending to monetization across Azure, Copilot, and software models.
The firm raised Azure estimates through FY30, citing accelerating capacity expansion and stronger AI demand.
The firm increased Microsoft 365 Copilot forecasts and now models roughly $4B/$10B/$20B of annual revenue in FY26/FY27/FY28.
Wells Fargo estimates OpenAI remains the primary contributor to Azure AI revenue today, but expects the company’s own software and model layers to become a more meaningful driver over time.
The firm remains constructive on the company’s AI positioning, citing improving monetization visibility ahead of Build.
The stock underperformed the IGV by 500 basis points, indicating relative weakness despite a positive day for the broader tech sector.
The company is expected to have a large buy in today's MSCI rebalance, with an estimated $3 billion to trade.
NVDA (largest notional to sell with $11B), AAPL (large buy $3.1B), MSFT ($3B to buy)
Morgan Stanley argues the company’s AI infrastructure deployment is still running materially ahead of monetization, creating potential upside to long-term Azure revenue estimates.
The firm highlighted the company’s installed datacenter footprint potentially scaling from ~5GW in FY24 to ~20GW by FY28, while revenue per MW assumptions appear conservative given accelerating AI workloads and higher infrastructure utilization over time.
Morgan Stanley believes current capex/revenue frameworks likely understate Azure upside if AI adoption, inference demand, and software attach rates continue accelerating, reiterating Overweight on the stock.
The stock was largely weaker early.
MU +8% getting close to $1k. Lots of your favorite AI semi names up 4-6%. Internet and Software down early, the latter led lower by ZS’s -25% horrid print, which is bringing down other cyber names as well (PANW/CRWD -4%). Interestingly, hyperscalers largely...
Boris Cherny, founder of Claude Code, suggested that the real negative narrative for MSFT is that AI models like Claude can significantly reduce switching costs between vendors, diminishing the competitive moat of established players.
Piper says recent Copilot enhancements are helping drive stronger differentiation and supporting expectations for significant net Copilot seat adds in F4Q after seats reached 20M in F3Q.
The firm highlighted growing traction around model choice (GPT/Claude), Copilot Cowork, WorkIQ, and AI governance/security capabilities as key drivers of broader enterprise adoption and higher-value use cases.
Piper noted Azure AI demand continues outpacing supply, with the company’s massive RPO balance reinforcing durable AI infrastructure demand despite concerns around capex intensity.
* **$AMD**: Inventec is expected to ramp the MI450 for MSFT with mass production starting in Q4, with more meaningful revenue in C27. * TPU volume checks are mixed, with some indicating 3M units for C26, while others suggest 3.6-3.8M units for C26 (+150% Y/...
The stock was only down 1% despite the broader AI complex being hit, suggesting its recent severing of some ties with OpenAI might be working in its favor.
The revised OpenAI agreement, while a concession, provides greater certainty on revenue share and IP access through 2030, and the removal of the AGI clause clarifies payment streams.
There is potential margin upside from eliminating Microsoft's revenue share to OpenAI, estimated at ~$5–6B annually, which is about 20% of Azure AI revenue.
The firm reiterates a Buy rating, indicating confidence in the company's strategic direction despite the trade-offs.
The revised OpenAI agreement is viewed as a net concession by Microsoft, with OpenAI gaining multi-cloud flexibility while Microsoft retains 'primary' cloud status but loses API exclusivity.
OpenAI's growing scale and compute needs likely drove the shift, suggesting Microsoft might not have been able to meet demand alone, making the reset modestly negative strategically despite some near-term financial benefit.
The amended agreement with OpenAI allows OpenAI to sell products through any cloud provider, while Microsoft's license to OpenAI models/products becomes non-exclusive but continues through 2032, maintaining a long-term relationship.
Microsoft remains OpenAI's primary cloud partner, and OpenAI products will still ship first on Azure unless Microsoft opts out, indicating a continued strategic advantage.
Microsoft stops paying revenue share to OpenAI, and OpenAI's revenue-share payments to Microsoft continue through 2030 subject to a cap, which could be financially beneficial for Microsoft.
Early ramps of Broadcom Tomahawk 6 and deployment momentum at key customers (e.g., MSFT, AMZN, GOOGL) reinforce a strong upgrade cycle, with potential doubling of 800G transceivers per cluster.
Microsoft plans its first-ever voluntary employee buyout for up to 7% of its U.S. workforce, indicating the tech industry is grappling with major changes sparked by the artificial intelligence boom.
Checks are improving into F3Q with reseller survey data pointing to stronger demand (~+13% QoQ growth) and solid Azure/AI momentum.
A slight Azure beat (~+1pt) is expected with growth accelerating to ~39% YoY, and continued expansion into FY27 (~41% vs cons ~37%) driven by AI demand and ~$192B capex supporting capacity.
M365 growth remains intact despite PC headwinds, with FX providing modest tailwinds, reinforcing confidence in a multi-quarter acceleration story.
Near-term capacity constraints continue to cap upside.
62 EPS) and continued momentum from cloud/AI customers (MSFT, META, GOOGL); the firm highlights robust backlog, expanding scale-out/scale-up deployments, and incremental tailwinds from upcoming XPU/optical transitions, supporting sustained growth and margin...
ORCL +4% leading large cap higher but NOW also +4% on some positive 3p checks while MSFT +~2% again.
The stock exhibited relative strength by avoiding new lows during the recent software pullback.
TD also notes Municipal opposition is intensifying and several high-profile hyperscaler projects have stalled (Google withdrew a 468-acre Indianapolis proposal, AMZN’s $6B King George, VA project effectively stalled, MSFT walked from a Wisconsin site).
The company has raised prices sharply across its Surface product lineup due to memory chip shortages and increased component costs, with the Surface Pro 12-inch jumping from $800 to $1,050 and the Surface Laptop increasing by up to $500.
The company no longer offers any Surface PC under $1,000, contrasting with Apple's new $599 MacBook Neo.
The company walked away from a Wisconsin data center site, indicating challenges in data center expansion.
Citi continues to prefer the company within data/infra and hyperscalers.
Citi continues to prefer data/infra and hyperscalers (MDB, SNOW, PLTR, MSFT) and within apps still likes SHOP, NOW, HUBS, BRZE, KVYO for stronger organic growth, AI cycles, and SMB/eCommerce exposure.
The stock failed to keep pace with other hyperscalers.
Barclays' reseller is more bullish on Copilot than investors, highlighting its evolution from a chat tool to an agentic execution layer that integrates Anthropic and Fabric.
Cloud migrations are accelerating as clients realize the necessity of Azure to access AI capabilities, aided by Microsoft's January go-to-market reorg for SMBs.
There are currently no capacity shortages, though greater compute demands are anticipated as Copilot Cowork ramps up.
Client adoption of Copilot remains limited amid macro uncertainty.
Azure commits reached 33.2%, indicating continued growth in cloud adoption.
Benchmark initiated coverage with a Buy rating and a $450 price target, arguing that the recent selloff creates an attractive entry point for the "AI orchestration juggernaut" that owns proprietary enterprise and consumer data.
The firm dismisses capex concerns as "very shortsighted," noting Microsoft has already contracted a majority of GPU/CPU useful life and has excellent visibility on customer demand.
UBS sees OpenAI's Frontier agent platform as a net positive for cloud providers, including Microsoft Azure, despite competitive dynamics.
A key investor debate centers on whether Frontier’s AWS-hosted stateful runtime can bypass Microsoft Azure’s API exclusivity, with Microsoft reportedly weighing legal action.
OpenAI's Frontier platform poses a competitive risk for software incumbents, as enterprise customers may become less tied to underlying software like Office when working with AI agents.
Microsoft is centrally positioned in the AI supercycle, driving strong multi-year growth across cloud and software.
Intelligent Cloud is expected to grow approximately 24–28% through FY26–FY28, driven by Azure demand and AI workloads, with broad monetization across infrastructure and applications.
Long-term operating leverage and AI-driven revenue growth support a premium valuation.
Azure capacity growth is slowing.
Margins face near-term pressure from elevated capital expenditure.
The company is reorganizing its executive ranks to give CEO Satya Nadella direct oversight of Copilot engineering, merging previously separate consumer and enterprise Copilot divisions under a new leadership team, indicating a strategic focus on AI.
MSFT/Openai/AMZN: Microsoft weighs legal action over $50bn Amazon-OpenAI cloud deal - Financial Times
The company is weighing legal action against Amazon and OpenAI over concerns that their $50 billion Frontier partnership could violate Microsoft's exclusive agreement, creating potential legal challenges.
The company is seen as a relevant name benefiting from improving OpenAI sentiment.
The stock attempted to rally but ultimately failed to sustain its gains.
OpenAI related names rallied on 1) the back of a positive CNBC article which said Altman said Chatgpt back to 10% monthly growth and called out +60% Codex w/w growth and 2) DA Davidson upgraded “OpenAI and its Orbit” leading up to model releases and fund ra...
Cloud: Hearing Clev positive on AMZN/GCP, neutral on MSFT Azure
KeyBanc reiterated an Overweight rating and price target, seeing a path for Azure to achieve over 40% growth due to improving enterprise demand and capacity allocation prioritizing high-revenue workloads.
Citi's AI Tour takeaways show solid progress on Agentic AI Proof-of-Concepts moving to production, supporting confidence in Azure re-acceleration into F2H26.
There is a persistent gap in M365 Copilot adoption, with low seat utilization driven by poor data grounding and limited enablement, which pressures near-term ROI.
The stock experienced weakness due to concerns about OpenAI, as a report suggested Google is significantly ahead in securing power supply for 2027 and 2028, implying OpenAI may have less compute available because it is not exposed to TPU.
ORCL -3.4% / MSFT -2.3%: OpenAI weakness as heard Semianalysis was out with a note saying Google is way ahead in locking down power supply in ‘27 and ‘28, the read-through being OpenAI won’t have as much compute available as they are not exposed to TPU. Don...
The company's focus on compute fungibility and capacity planning allows it to flexibly allocate AI resources across Azure, internal R&D, and first-party apps.
The OpenAI partnership provides a gross margin advantage by enabling model leverage without incremental API costs.
Enterprise conversations are increasingly supportive of Copilot adoption compared to the previous year.
The company is best positioned to compound AI cycles with a path to approximately $35 FY30 EPS.
Morgan Stanley reiterated an Overweight rating and $650 price target, following a CIO survey indicating software spend growth is expected to accelerate modestly in 2026 to 3.8% year-over-year from 3.7% in 2025.
Microsoft is considered the best-positioned beneficiary of improving IT budgets, with Azure remaining CIOs' preferred public cloud and strong adoption expectations for GitHub Copilot and M365 Copilot.
A clear premiumization trend is observed, with Microsoft 365 E5 adoption expected to rise from approximately 31% today to 50% over the next three years, supporting a strongly positive setup.
Expected usage of Azure OpenAI Services dipped to 37% from prior surveys.
The company is working with the administration to ensure its new AI data centers will not increase residential utility bills by shifting towards self-funded, dedicated power solutions, such as behind-the-meter generation, direct power purchase agreements, or on-site power.
1) MSFT agreeing that new AI data centers won’t push incremental power costs onto residential utility bills by shifting toward self-funded, dedicated power solutions—think behind-the-meter generation like BE, direct power purchase agreements tied to new bui...
Goldman Sachs rates Microsoft as a Buy due to Azure estimate revisions and multiple AI optionalities, favoring infrastructure names that can deliver durable revenue growth and margin expansion.
Goldman Sachs assumes coverage with a Buy rating and raised its price target to $655, citing underappreciated upside from compounding AI product cycles across infrastructure, platform, and applications.
Microsoft is uniquely positioned to monetize agentic workflows due to its leadership in AI compute, Copilot, and agent orchestration, with vertical integration driving superior unit economics and more resilient cross-cycle growth.
Goldman Sachs sees a path to over $35 in FY30 EPS in an upside case, implying over 20% EPS growth, which is significantly higher than the mid-teens growth for mega-cap peers.
AI Semis/NVDA/AVGO/AMD/CoWoS: Morgan Stanley Raises CoWoS Bookings for NVDA/AVGO, Trims AMD/MSFT Maia; Supply Constraints Still Drive ’26
Morgan Stanley’s Charlie Chan update sCoWoS assumptions, raising NVDA bookings to ~875k (from ~800k) with incremental Non-TSMC allocation and ~40% tied to Rubin, while lifting AVGO to ~280k (from ~235k) and trimming AMD to ~110k (from ~130k), including ~65k...
Morgan Stanley sees MSFT Maia300 CoWoS capacity ending lower than previously expected, indicating a reduction in anticipated advanced packaging capacity for their AI chips.
Microsoft is positioned as the leader of the AI era with an end-to-end platform and deep OpenAI alignment.
Concerns exist around AI capex intensity and the broader cycle, which has caused a pullback.
Q4 Azure growth beat the company's guidance
Q1 Azure constant currency guidance is ahead of street expectations
Azure AI contribution accelerated compared to the prior quarter
CY25 Capex is in line with street expectations, avoiding negative surprises
Strong intra-quarter checks suggest Azure acceleration could deliver 100-200bps of upside to guidance, supported by positive read-throughs from peers.
The coming week is packed with reports that should help fill in some blanks in tech as Q3 gets under way. Expect meaningful updates across a wide spectrum: a clearer picture of hyperscaler capex trajectories (META, MSFT, AMZN), critical reads on the pace an...
Research through 2026-10-29 · 2025-07-28 to 2026-10-29 · 94 source reports.
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Research through 2026-11-03. Artifact validity does not establish factual accuracy or research freshness.