Hyperscale Cloud (IaaS / PaaS)

Matt Garman, CEO of Amazon.com Inc.'s AWS, said concerns over an AI spending bubble are overstated, telling a16z's podcast with Raghu Raghuram on Thursday that Amazon does not rely on one customer for most AWS capacity and that "we feel really good about the spend we're making now." Garman said demand is concentrated in production workloads such as computing, storage and AI inference, and that a diversified approach means not all capacity is bundled up in one customer, comparing the market to venture capital where failed startups can be offset by successful investments. His comments come as AWS highlights efforts to make AI more affordable, and as Amazon is reportedly in talks to transfer about $8 billion worth of Nvidia Corp.'s Grace Blackwell AI chips to an investor-backed special-purpose vehicle that could raise funds through debt issuance while Amazon leases the chips back. Amazon CEO Andy Jassy raised the company's 2026 capital expenditure forecast by $20 billion to $220 billion in July, citing rising memory chip prices and strong demand for AI and AWS infrastructure. Separately, billionaire investor Ray Dalio warned that rising AI-related borrowing, higher interest rates and pressure to turn paper wealth into cash could bring the AI bubble closer to bursting, calling the boom a "classic bubble" and comparing the current AI rally to the late 1920s.

Google Cloud CEO Thomas Kurian announced a new Gemini agent that lets enterprises delegate outcomes through a single prompt box, backed by 8 million paid Gemini Enterprise seats active across 4,200 companies. The platform introduces coworker agents with their own email addresses, calendar access, and directory presence, operating across Google Workspace, Microsoft 365, and Slack. The orchestration layer is built on Gemini but natively routes tasks across Anthropic Claude and over 200 other models in Model Garden, including open models like Gemma 4, a multi-model approach already used by PayPal, which routes 10 million multi-model requests every week. Google Cloud reported $20 billion in revenue for Q1 2026, a 63% year-over-year increase, with an 800% surge in generative AI product revenue, while the TPU 8i chip delivers 80% better price-performance than previous generations. Security controls include the Agent Gateway, an AI network firewall that understands the Model Context Protocol and Agent-to-Agent protocols, alongside the Agent Sandbox, with BNP Paribas deploying the tools to over 65,000 employees and Bradesco cutting document review times from an hour to five minutes.

Microsoft's Azure cloud business passed $100 billion in annual revenue for fiscal 2026, with Azure and other cloud services growing 43% in the fiscal fourth quarter, unchanged in constant currency. Total quarterly revenue came in at $90.0 billion, up 18%, while fiscal 2026 revenue reached $331.8 billion, also up 18%, and Intelligent Cloud revenue hit $39.3 billion, up 32%. Operating income rose 18% in the quarter to $40.6 billion and 21% for the full year to $155.2 billion, while adjusted EPS was $4.74 for the quarter, up 23%, and $17.28 for the year, up 22%. Microsoft said one-time items added $0.27 per share versus its own guidance, including a $3.2 billion gain on its Anthropic investment, partly offset by severance costs and Xbox impairment charges, and that after adjusting for those items it still beat its expectations on revenue, operating income and EPS. At a forward P/E of 26.59 as of October 6, the stock trades above the sector's 23.81 but below its own five-year average of 30.52, with analysts expecting earnings per share to grow 19.77% in 2027.

Jefferies named Alibaba Group Holding its top pick in the China Internet sector, maintaining a Buy rating and raising its price target on the U.S.-listed shares to $192 from $190, with the Hong Kong-listed target moving to HK$186 from HK$184. The firm cited solid execution across multiple business segments and accelerating growth in artificial intelligence cloud services. Jefferies expects AI Cloud and Compute services revenue to grow over 50% year-over-year to RMB60.5 billion in the September quarter, with segment margin improving quarter-over-quarter to 12.3%, and forecasts cloud revenue to grow over 50% year-over-year in fiscal year 2028. Total revenue is estimated to grow 9.6% year-over-year, while cloud segment profit is expected to offset losses in AI Lab and Applications in the December quarter. On ecommerce, the gap between gross and net China marketplace revenue is narrowing and Quick Commerce losses are lower in September than in the June quarter.

Google Cloud, a unit of US-based Alphabet, announced on the 8th a business-oriented artificial intelligence agent called Gemini that can answer questions, handle tasks, create content, and write code. Gemini plans work, uses tools, connects to corporate business systems, and delivers completed output into documents, email, and developer environments. It works directly within Google Workspace apps such as Gmail, Docs, Sheets, and Calendar, and can also be used through the business tool Microsoft 365 and the chat app Slack. It selects the optimal model for each task, currently running on Google's Gemini models and US-based Anthropic's conversational AI Claude models, with other models to be added in the future. Users can create colleague agents that function as team members, and each agent is given a dedicated email address and can access only the information granted to it. Versions for financial services and legal work are now in preview, with versions for government, healthcare, and retail coming soon.

Amazon.com Inc. plans to deploy two million additional NVIDIA GPUs during 2027 and 2028 as part of its AI infrastructure buildout, alongside a $1.9 billion investment in its Delivery Service Partner program in 2027 that is mostly directed toward driver wages. That driver-pay commitment, which Amazon says will lift driver pay to a national average of nearly $24 an hour, brings total funding for the eight-year-old program to $21.7 billion. The company also completed a £4.25 billion sterling bond offering on September 14, 2026, across four maturities of 3, 6, 12, and 19 years, broadening its financing sources as AI spending raises capital requirements. In the second quarter, Amazon posted $200.6 billion in total revenues, up 20% from Q2 FY25, with AWS revenue jumping 37% year-over-year to $42.2 billion, while 2026 capital outlays are projected at close to $220 billion and free cash flow has slipped into negative territory. Separately, Amazon is raising base starting wages for qualifying full-time employees in core U.S. operations by $1 to $20 an hour effective September 27, a move it says reflects a commitment of over $1.5 billion.

A comprehensive industry report showing infrastructure service spending more than doubled in the third quarter sent shares of Palantir Technologies, Doximity, Snowflake, and Teradata sharply higher. According to data from the latest ISG Index, commercial contract value surged 63% to reach $52.5 billion during the third quarter, driven by strong tailwinds in artificial intelligence workloads. The dramatic increase in enterprise commitments led industry researchers to upgrade their full-year growth projection for XaaS, or Anything-as-a-Service, to 60%. Cloud infrastructure providers and IT service vendors are reaping substantial financial benefits as organizations move beyond experimental AI trials into large-scale production environments requiring massive computational power and dedicated hosting capabilities. Among the movers, Palantir Technologies jumped 2.2%, Doximity jumped 4.1%, Snowflake jumped 2.6%, and Teradata jumped 2.2%.

AWS Transform now enables migration of block storage data for NetApp Inc.'s unified data storage operating system, NetApp ONTAP, directly to Amazon FSx, allowing such migrations to run in the same wave as compute and network. NetApp executive Pravjit Tiwana said cloud migration projects often run longer and cost more than planned because customers must move applications, servers, networking, and storage separately, and that the combined offering simplifies the process, lowers migration risk, and helps customers reach AWS faster without changing how their applications operate. The integration broadens NetApp's total addressable market beyond its existing users and turns AWS migration projects into new cloud storage channels, though it also increases NetApp's reliance on AWS for distribution and adoption of this particular cloud service, exposing it to AWS pricing decisions and competing storage offerings. NetApp has delivered around 102% year-to-date return in 2026, more than fivefold the return of the broader S&P 500, with a market capitalization of approximately $45.39 billion, a trailing P/E of approximately 33.3x and a forward P/E of 23.7x. As per 13F filing data for Q2 2026, a total of 47 hedge funds held positions in the stock compared to 38 by the end of the first quarter, and BlackRock is the largest institutional investor with 18.9 million shares, representing 9.62% of outstanding shares.

Analyst Dan Ives initiated coverage of Nvidia and SpaceX with Outperform ratings at his new firm, Yorkville Ives, arguing the AI buildout remains in its early innings. Ives set a $300 price target on Nvidia, implying 26% upside, and a $225 target on SpaceX, implying about 34% upside. Nvidia, now valued at more than $5.6 trillion, reported fiscal Q2 2027 data center revenue up 117% year-over-year to $89 billion and total revenue up 106% to $96.2 billion, beating Wall Street's forecast by $4.06 billion, with adjusted earnings of $2.22 per share beating by $0.13. SpaceX, which went public in June in Wall Street's largest ever initial public offering, reported 2Q26 total revenues of $7.8 billion, up 92% year-over-year and $994 million above expectations, while its net loss narrowed to $541 million from $1 billion a year earlier. SpaceX's capex rose to $18.37 billion in 2Q26 from $2.83 billion in 2Q25, with $15.83 billion of that total listed as AI capex. Ives said AI infrastructure spending by the five largest cloud platforms is running on the order of $850 billion this year, describing the industry as being in the third inning of a nine-inning game.

Investor Michael Burry said Tuesday that big technology companies are spending wildly on data centers because their CEOs assume they will be granted an oligopoly that is too big to fail. In a post on X, Burry argued that this expectation is the only reason for the spending spree. JPMorgan estimates AI capital spending could rise from roughly $700 billion this year to $1 trillion next year, while Goldman Sachs expects the five biggest hyperscalers to issue about $250 billion in bonds this year and $400 billion in 2027. Separately, Space Exploration Technologies Corp. is reportedly seeking $40 billion in loans and debt, led by Apollo Global Management, to buy Nvidia Corp. chips, according to the Financial Times. Amazon.com Inc., Alphabet Inc., and Microsoft Corp. are on track to spend roughly $590 billion to $600 billion on capital expenditures this year, much of it on data centers and AI infrastructure, while Meta Platforms Inc. reportedly described some of its AI data centers to the IRS as pilot models to claim federal research tax credits, cutting its tax bill by $3.9 billion in 2025, according to The New York Times.

Worldwide spending on artificial intelligence is forecast to reach $2.59 trillion in 2026, up 47% from $1.76 trillion in 2025, and to climb to $3.49 trillion in 2027, according to Gartner. AI infrastructure is the largest piece of that total at $1.43 trillion this year, more than 45% of all AI spending, and Gartner Distinguished VP Analyst John-David Lovelock called 2026 the inflection year. The forecast is showing up in results from the latest reporting season, with Microsoft reporting fiscal 2026 fourth quarter revenue of $90.0 billion, up 18%, and Microsoft Cloud revenue of $59.3 billion, up 27%, while Meta reported second quarter 2026 revenue of $60.80 billion, up 28%, and guided full-year 2026 capital expenditures of $130 billion to $145 billion. Broadcom reported third quarter fiscal 2026 revenue of $29.6 billion, up 86%, including AI semiconductor revenue of $16.7 billion, up 221%, and guided fourth quarter AI semiconductor revenue to $21.7 billion, while AMD reported second quarter 2026 revenue of $11.5 billion, up 50%, with Data Center segment revenue of $6.7 billion, up 107%.

Microsoft has merged its three reporting segments into two, Agents and Infra and Devices and Consumer, starting with fiscal 2027, a change that puts its AI investment case in sharper focus. Restated figures show the Agents and Infra segment, which groups Azure with Microsoft 365 cloud and industry solutions, generated $268.1 billion in revenues and $136.4 billion in operating income in fiscal 2026, an operating margin above 50% even at the peak of the buildout, and management expects first-quarter fiscal 2027 Agents and Infra revenues of $75.15-$75.75 billion. The spending is enormous: fiscal fourth-quarter capital expenditures were $41 billion, roughly two-thirds of it on short-lived assets mainly CPUs and GPUs, first-quarter capex is expected to exceed $50 billion, and a lease reclassification has lifted the calendar 2026 estimate to about $175 billion, while free cash flow fell to $19.6 billion from about $25.6 billion a year earlier and Microsoft Cloud gross margin fell year over year to 65%. The strongest offset is visible future demand, with commercial remaining performance obligation up 84% to $678 billion, about 30% of it expected to be recognized as revenue within 12 months, Azure revenues exceeding $100 billion for the first time in fiscal 2026, and first-quarter Azure growth projected at 44-45% in constant currency against about 17% for Microsoft 365 commercial cloud, supported by more than 30 million paid Copilot seats and new usage-based billing. For fiscal 2027, Microsoft expects double-digit growth in revenues and operating income, full-year operating margins slipping by less than a point and free cash flow staying positive, and because so much of the spending goes to short-lived hardware the company can slow purchases quickly if demand weakens, though rising depreciation and margin pressure remain real risks. Amazon raised its 2026 cash capex outlook to about $220 billion, with AWS revenues up 37% to $42.2 billion in the second quarter and a backlog of $496 billion, while Alphabet lifted its 2026 capex guidance to $195-$205 billion as Google Cloud revenues surged 82% to $24.8 billion and its cloud backlog reached $514 billion, with slightly more than half expected to convert into revenue within 24 months, though Alphabet's free cash flow turned negative in the second quarter.

Google Cloud used its Gemini at Work 2026 event to push Gemini deeper into enterprise workflows, positioning the platform to execute multistep tasks across an organization's existing systems and compete directly with Anthropic, Microsoft and OpenAI in the race to build autonomous AI agents. Alphabet shares rose 1% Thursday, outperforming a broader technology selloff as Nasdaq 100 futures fell about 0.7%. Google said earlier this year that nearly 75% of Google Cloud customers were using its AI products, while more than 330 customers had each processed more than one trillion tokens over the prior 12 months, and nearly 90% of Fortune 100 companies are now using Gemini Enterprise. The company's Agent Development Kit is approaching 70 million downloads in the second quarter, and Google Cloud revenue grew 82% in Alphabet's second quarter, driven by AI infrastructure and AI solutions. Google also unveiled its eighth-generation TPU family, including the TPU 8i, earlier this year, saying the chips deliver an 80% improvement in performance per dollar versus the prior generation.

Balyasny Asset Management and Google Cloud announced a collaboration to deploy Google's Gemini models within the investment firm's proprietary artificial intelligence research platforms. Across BAM's more than 200 global investment teams, analysts evaluate thousands of earnings transcripts, central bank announcements, regulatory filings, and market feeds each week. To streamline research workflows, BAM built proprietary internal applications, including BAMAgent, designed to orchestrate specialized AI models and agents across more than 80 internal financial databases and enterprise tools. Within its multi-model architecture, BAM uses Gemini for quantitative work requiring rapid analysis of large financial datasets, high-accuracy document retrieval, and cost-effective performance, with deployments running inside Google Cloud's secure infrastructure using VPC Service Controls to keep proprietary trading data and strategies confined to its private cloud environment. Charlie Flanagan, chief AI officer at Balyasny Asset Management, said model speed, retrieval accuracy, and cost efficiency are critical when research agents evaluate thousands of market feeds simultaneously, while Rohit Bhat, general manager and managing director of Financial Services at Google Cloud, said capital markets require speed, precision, and strict data governance. Looking ahead, BAM's Applied AI team will continue collaborating with Google Cloud through early-access programs, testing upcoming Gemini models to advance AI performance across institutional financial research.

Google and Constellation Energy have agreed a 20-year nuclear power deal worth US$4.30 billion to add 890 megawatts of new capacity to the PJM grid, securing long-term clean electricity for Google's expanding AI and cloud data centers. The long-horizon power purchase links Alphabet's AI ambitions directly to physical energy infrastructure, underlining how data center growth now depends on locked-in, carbon-free power supplies. The deal tightens the link between Alphabet's AI buildout and long-term energy costs, though it does not fundamentally change the biggest immediate risk, which remains return on AI capex. Alphabet's narrative projects $795.9 billion revenue and $243.1 billion earnings by 2029, requiring 21.3% yearly revenue growth and a $1.0 billion earnings decrease from $244.1 billion today. The article was produced by Simply Wall St.

Directors and executives at Oracle and Xenon Pharmaceuticals have made significant insider purchases, with Wall Street analysts assigning both stocks Strong Buy consensus ratings and average price targets implying more than 60% upside. Oracle board member Stephen Rusckowski bought 25,000 shares on September 29 for over $3.48 million, lifting his stake to $3.62 million, after the company reported fiscal 1Q27 revenue of $19.3 billion, up 30% year-over-year and nearly $216 million above forecast, with non-GAAP EPS of $1.92 also up 30% and 18 cents better than expected. Oracle's cloud revenue hit a Q1 record of $11.6 billion, up 62%, led by cloud infrastructure at $7.4 billion, up 121%, while remaining performance obligations reached $664 billion, up $209 billion year-over-year. Evercore analyst Kirk Materne rates Oracle Outperform with a $245 price target, implying 69% upside, and the stock's 32 recent analyst reviews break down to 27 Buys, 4 Holds, and one Sell, giving it a Strong Buy consensus with a $245.75 average target versus a current price of $144.77. Xenon CEO Ian Mortimer bought 30,000 shares for $1.12 million and CFO Thomas Patrick Kelly bought 15,000 shares for just over $559,000 on September 30, after the company submitted an NDA to the FDA for its epilepsy drug candidate azetukalner in focal onset seizures while voluntarily pausing enrollment in its major depressive disorder and bipolar depression studies pending a safety evaluation. RBC analyst Brian Abrahams rates Xenon Outperform with a $70 price target, implying 91% upside, and the stock's Strong Buy consensus rests on 16 recent reviews split 15 Buys to 1 Hold, with a $71.42 average target against a current price of $36.57.

Alphabet agreed a 20-year, US$4.3 billion nuclear power supply deal with Constellation Energy to support its AI data centers. Under the agreement, Constellation will provide carbon-free nuclear electricity to Google facilities, targeting growing AI-related power needs. The long-term contract signals greater reliance on nuclear generation as large tech platforms seek cleaner power sources for cloud and AI infrastructure. The deal deepens the long-duration power side of Alphabet's AI spending, which sits alongside custom TPUs, data center expansion and a cloud backlog that analysts already frame as heavily AI weighted. Viewed against Microsoft and Amazon, both racing to secure generation for their own AI campuses, the deal looks less like a one-off and more like table stakes.

Amazon is expanding the AI services it sells through Amazon Web Services, with September 2026 launches that added OpenAI's GPT-6 Astra and Moonshot AI's Kimi K3 to Amazon Bedrock and brought the Amazon Quick desktop app and Amazon Connect Talent to general availability. The business already has strong traction: in the second quarter of 2026, AWS' AI business passed a $25 billion annual revenue run rate, growing at triple-digit percentages year over year, and Amazon is investing $1 billion to create AWS Forward Deployed Engineering. That demand showed up in the results, with AWS segment sales rising 37% year over year to $42.2 billion, segment operating income increasing to $16.6 billion from $10.2 billion, and AWS operating margin widening to 39.4% from 32.9% a year earlier. For the third quarter of 2026, Amazon expects net sales of $197-$202 billion, indicating 9-12% year-over-year growth, and operating income of $22.5-$26.5 billion compared with $17.4 billion a year earlier, though trailing 12-month free cash flow fell to an outflow of $7.6 billion as purchases of property and equipment rose $66.1 billion, largely for AI. Amazon faces stiff competition from Microsoft, whose Azure and other cloud services revenues rose 43% in the fiscal fourth quarter ended June 30, 2026, and Alphabet, whose Google Cloud revenues climbed 82% to $24.8 billion in the second quarter of 2026.

Mysten Labs, the developer of Sui, announced on October 6 a joint development plan with Google Cloud. The two will build Verifiable Agent Arbiter, or VAA, a platform that uses blockchain to prove that AI agents acted within the scope of the authority granted to them. VAA links the operations an agent is permitted to perform, its actual actions, and their outcomes into a record, so that counterparties and auditors can verify the record independently of the system that ran the agent. Instructions given to the AI, its outputs, its use of external tools, and decisions based on internal rules are stored privately in customer-managed Google Cloud storage, while cryptographic proofs corresponding to the records are stored on Walrus, a data storage platform, with Sui handling the management and linkage of those proofs. In addition to handling disputes in business-to-business transactions and investigating the causes of suspicious operations, the plan also includes integration with Sui's mechanism for AI agents to pay usage fees for external services under the x402 payment standard.

Jim Cramer said on the September 30 episode of Mad Money that Microsoft's massive artificial intelligence investment is entering a new phase as the company begins turning its data-center buildout into higher revenue. Cramer noted Copilot now has 30 million users and growing, Azure is accelerating rather than contracting, and Microsoft is beginning to recoup its monster data center investment, which he compared to the payback period Nvidia's Jensen Huang once described for his semiconductors. In its fiscal fourth quarter, Microsoft Cloud revenue increased 27% to $59.3 billion, while Azure and other cloud services revenue grew 43%, and commercial remaining performance obligations rose 84% to $678 billion, including a 25% increase excluding OpenAI. CFO Amy Hood said on September 9 that Microsoft had reduced dock-to-live times for infrastructure by more than 50% over the year, even as capital expenditures reached $41 billion in the June quarter and first-quarter fiscal 2027 spending is expected to exceed $50 billion. Microsoft Cloud's gross margin fell to 65% in the June quarter, and the company generated $19.6 billion of free cash flow while paying $35.8 billion for property and equipment, leaving margins and cash flow worth watching as spending continues to rise.