Amazon shares surge on AWS growth and Anthropic profit boost

cryptonews.ruPubblicato 2026-07-31Pubblicato ultima volta 2026-07-31

Introduzione

Amazon reported second-quarter 2026 net income of $62.6 billion, driven significantly by a surge in the valuation of its investment in Anthropic. Revenue rose 20% to $200.61 billion, exceeding forecasts. The stock jumped over 10%. Key growth came from Amazon Web Services (AWS), with sales up 37% to $42.2 billion, marking its fastest growth rate in 18 quarters. AWS's AI and chip business units each surpassed $25 billion in annual revenue. Amazon raised its 2026 capital expenditure forecast to $220 billion due to strong AI demand outpacing available capacity. Operating profit climbed to $27.5 billion. Advertising revenue grew 26% to $19.81 billion. Operating cash flow over the trailing twelve months increased 33% to $161.4 billion.

Amazon (NASDAQ: AMZN) reported second-quarter net profit of $62.6 billion following a sharp rise in the value of its Anthropic asset, which added billions to the bottom line. Earnings reached $5.75 per diluted share, compared to $18.2 billion, or $1.68 per share, a year earlier.

The 2026 figure included $53.4 billion in pretax profit outside of normal operating activity, primarily from Anthropic. Amazon shares rose more than 10% after regular trading closed.

Quarterly revenue grew to $200.61 billion, exceeding the $196.47 billion forecast by LSEG analysts. Amazon reported that net sales increased 20% from the $167.7 billion recorded in the second quarter of 2025.

Since the impact of foreign exchange fluctuations on revenue was just $100 million, sales growth excluding this factor was 20%. Wall Street analysts had forecast earnings of $1.82 per share, but the significant capital gain reported by the company makes the comparison less straightforward.

Amazon turns AI demand into accelerated AWS growth and increased operating profit

Amazon Web Services sales volume was $42.2 billion, exceeding the StreetAccount forecast of $40.54 billion. AWS revenues grew 37% year-over-year. Advertising revenue was $19.81 billion, surpassing the StreetAccount forecast of $19.43 billion and up 26% from the previous year.

Operating profit rose to $27.5 billion from $19.2 billion previously. AWS profit was $16.6 billion, up from $10.2 billion. Profit from North American operations was $9.1 billion, up from $7.5 billion, while international operations profit was $1.7 billion, up from $1.5 billion.

Amazon's CFO and CEO stated:

"AWS is experiencing explosive growth, increasing 36.7% year-over-year in the second quarter, marking the fastest growth rate in 18 quarters, and the turnover of our AI and chip divisions has exceeded $25 billion annually."

Both companies demonstrated triple-digit growth and achieved annual revenue of over $25 billion.

Amazon reported that Trainium secured multi-year, multi-gigawatt capacity supply contracts from Anthropic and OpenAI. NEURA Robotics, Odyssey, TwelveLabs, Decart, Poolside, Karakuri, Metagenomi Therapeutics, NetoAI, and Splash Music have also adopted or committed to using these chips. Major customers include Uber (NYSE: UBER) and Pinterest (NYSE: PINS).

During the quarter, Graviton5 became widely available. Amazon stated that Graviton provides 30-40% better price-performance ratio than comparable systems. Graviton5 offers up to 25% more compute power than Graviton4. Approximately 98% of the top 1000 EC2 customers use Graviton. Revenue volumes nearly tripled compared to the previous quarter, and Graviton5's growth rate was nearly double that of its predecessor.

Bedrock added over 10 managed foundational models. New options included OpenAI's GPT-5.6, Anthropic's Claude Opus 5, Alphabet's (NASDAQ: GOOGL) DeepMind Gemma 4, and xAI's Grok 4.3. Bedrock is now used by hundreds of thousands of customers. In the past six months, the platform has attracted more customers than in its first two years, and client spending in the second quarter exceeded all previous quarters combined.

Payments, Web Search, and Harness tools were added to Bedrock AgentCore. These tools allow agents to conduct transactions, find up-to-date information without leaving AWS, and connect systems needed for large-scale deployments.

Amazon Quick gained agents capable of running multi-step tasks based on plain language instructions. A personal activity feed and 16 integrations were also added, including Adobe (NASDAQ: ADBE), Moody's (NYSE: MCO), and Snowflake (NYSE: SNOW).

Quick integrates with Salesforce (NYSE: CRM), Slack, Microsoft Teams via Microsoft (NASDAQ: MSFT), Jira from Atlassian (NASDAQ: TEAM), and ServiceNow (NYSE: NOW). It allows organizing meetings, preparing and sending emails, updating customer records, and creating dashboards while maintaining company access rules.

Amazon increases AI spending amid expansion in retail, logistics, media, and satellite tech

Amazon raised its planned capital expenditures for 2026 to $220 billion. In February, the company forecast $200 billion and maintained that figure in April. Jassy stated that rising memory prices increased the budget, while customer demand continues to exceed available compute capacity.

"But even at this volume, we still won't have enough capacity to meet all demand in 2026, and I believe this trend will continue into 2027," said Jassy. "In fact, demand for 2028 is already astonishing."

Operating cash flow for the trailing 12 months grew 33% to $161.4 billion from $121.1 billion for the period ending June 30, 2025. Free cash flow shifted from an inflow of $18.2 billion to an outflow of $7.6 billion. Purchases of property, plant, and equipment net of sales and incentives increased by $66.1 billion, primarily for constructing facilities and manufacturing AI-capable equipment.

Amazon invested $1 billion in AWS Forward Deployed Engineering. This unit will directly connect AI engineers with clients and build functioning agent systems in days instead of months. Early users include Allen Institute, Cox Automotive, NBA, NFL, Ricoh (TYO: 7752), and Southwest Airlines (NYSE: LUV).

The AWS Secret Cloud for Industry also became publicly available. Northrop Grumman (NYSE: NOC) was the first to begin using it for classified work. Additionally, Amazon separately offered up to $1 billion in cloud credits to accelerate cloud solution modernization within the U.S. intelligence community.

Amazon stated its global data centers use water more than seven times more efficiently than the industry average. The company completed 75% of the work needed to achieve its goal of making all data centers water-efficient by 2030. Its direct operations in India reached this level ahead of the 2027 target.

Annual gross sales for Amazon Business reached $60 billion. Product assortment grew by nearly 30%, and corporate buyers gained the ability to receive fresh products the same day in over 2,300 U.S. cities and towns.

The next-generation warehouse robot Proteus can move items weighing up to 1,300 pounds. Workers can command it using plain spoken language. In the first half of the year, Amazon Pharmacy more than doubled its number of new customers, and same-day prescription deliveries grew nearly fivefold. Manufacturer automatic discounts saved customers nearly $250 million, an increase of over 400% compared to the previous year.

The Ads Agent service expanded to 11 more countries. Advertisers using it recorded an 8% lower cost per thousand impressions (CPM) and a 6% lower customer acquisition cost compared to advertisers who did not use the tool.

Domande pertinenti

QWhat were the primary factors behind Amazon's significant increase in net profit for Q2?

AAmazon's net profit surged to $62.6 billion in Q2, primarily due to a $53.4 billion pre-tax gain from the increased valuation of its investment in Anthropic, which added billions to the bottom line. Additionally, strong performance from AWS and advertising contributed to the overall profit growth.

QHow did Amazon Web Services (AWS) perform in the second quarter, and what was highlighted as a key driver?

AAmazon Web Services (AWS) reported sales of $42.2 billion, exceeding expectations and growing 37% year-over-year. Its operating profit reached $16.6 billion. A key driver highlighted was accelerated growth fueled by AI demand, with AWS achieving its fastest growth rate in 18 quarters at 36.7% year-over-year. The company's AI and chip businesses each surpassed $25 billion in annualized revenue.

QWhat major strategic investments or cost increases did Amazon announce related to AI and infrastructure?

AAmazon increased its planned capital expenditures for the year to $220 billion, up from a previous forecast of $200 billion. This increase is driven by higher memory prices and customer demand for AI computing capacity that continues to outpace supply. The company also invested $1 billion in the AWS Forward Deployed Engineering unit to help customers build AI agent systems rapidly.

QWhat significant product developments or partnerships were mentioned for Amazon's AI chip, Trainium?

AAmazon's Trainium AI chip secured multi-year, multi-gigawatt capacity contracts from major AI firms Anthropic and OpenAI. It was also adopted or committed to by companies like NEURA Robotics, Uber, and Pinterest. The company stated that Trainium provides 30-40% better price performance than comparable systems.

QHow did Amazon's advertising business perform, and what new feature was launched for advertisers?

AAmazon's advertising revenue reached $19.81 billion, a 26% increase year-over-year and surpassing estimates. The company expanded its Ads Agent service to 11 more countries. Advertisers using Ads Agent saw an 8% lower cost per thousand impressions (CPM) and a 6% lower customer acquisition cost compared to those not using the tool.

Letture associate

Analyzing the Impact of AI on Economic Growth and Productivity

**Title: Analyzing AI's Impact on Economic Growth and Productivity** This article examines three contrasting views on AI's influence on economic growth and productivity. **The Optimistic View** posits that AI, especially through automating R&D ("recursive self-improvement"), could dramatically accelerate growth, even triggering a technological "singularity" with explosive, potentially infinite, economic expansion. **The Moderate/Mainstream View** acknowledges AI's productivity benefits but emphasizes significant real-world constraints that could limit its impact. These include: limited cost savings per task, structural ceilings on which jobs and industries are "exposed" to AI, adoption bottlenecks (e.g., compute, energy, regulatory hurdles), and the "weak link" effect where non-automatable tasks cap overall gains. Consequently, the realized AI dividend may be far lower than optimistic projections, with estimates typically ranging from 0.1% to 1.3% annual productivity growth. **The Pessimistic View** stems from two strands. The first aligns with the moderate view but applies extremely conservative assumptions about task exposure and efficiency gains, yielding minimal projected impact. The second introduces a demand-side critique: if AI primarily replaces rather than augments labor, it could depress labor's share of income, weaken consumer demand, and create a "demand trap" that ultimately stifles growth, unless offset by redistribution policies. **The authors' assessment** is nuanced: * **Short-term (1-2 years):** AI will support growth primarily through investment spending, not significant productivity gains. * **Medium-term (3-5 years):** Three potential paths emerge based on AI demand and bottleneck severity: 1. **"Optimistic Path":** High demand, few bottlenecks. Rapid productivity gains but risk of major job displacement and social conflict without redistribution. 2. **"Moderate Path" (most likely):** High demand but significant, surmountable bottlenecks. Leads to moderate productivity gains, financial market volatility (K-shaped returns), and sectoral job losses. 3. **"Pessimistic Path":** Low demand or severe bottlenecks. Minimal productivity and growth impact, triggering financial market corrections but allowing a smoother societal transition with less labor disruption. * **Long-term:** AI holds potential for a major productivity revolution and prosperity. The conclusion stresses that no path is smooth. Technologically "optimistic" outcomes could be socially detrimental, while "pessimistic" technological diffusion might be more socially stable. Policymakers must monitor developments and prepare balanced responses to manage economic, financial, and social sustainability.

marsbit9 min fa

Analyzing the Impact of AI on Economic Growth and Productivity

marsbit9 min fa

The New Cold War is a Tech Stock War

The New Cold War is a Tech Stock War The article argues that the contemporary geopolitical and economic rivalry between the US and China represents a "New Cold War," but one fundamentally fought through technology and financial markets, not physical barriers or conventional trade. Historically, US dominance was secured through financial systems. The Soviet Union, reliant on the rigid "Transferable Ruble," was ultimately undermined by its dependency on the US dollar for oil trade. Later, Japan's semiconductor challenge was countered not just by tariffs (e.g., Plaza Accord, 301 investigations) but by binding it to US Treasury bonds. China presents a more complex, "embedded" challenger. While it holds vast dollar reserves and US debt like Japan, its industrial base is stronger and more diversified than the Soviet Union's. Surviving the initial 2018 trade war phase, the conflict has evolved into a "tech-financial war." The core battlefield is now the stock market. US tech stocks (AI, semiconductors) are treated as sovereign assets, buoyed by bipartisan national will. China is pushing to strengthen its own financial markets to convert industrial strength into financial power and fund its tech ambitions. Companies like ChangXin (semiconductors), Moonshot AI, and DJI compete not just for market share but as financial proxies for their respective systems. The new paradigm is moving from globally efficient monopolies (Apple, Google) towards companies that achieve monopolistic profits within their respective geopolitical spheres. This competition over "pricing power" and financial valuation in segmented markets defines the current era, making the stock market the primary arena for this tech-centric struggle.

marsbit18 min fa

The New Cold War is a Tech Stock War

marsbit18 min fa

RWA Weekly: Ten European Financial Institutions Establish Tokenized Asset Cooperative; Ondo Launches New Execution Network Ondo Network

RWA Weekly: European Banks Form Tokenized Asset Cooperative; Ondo Launches New Execution Network Ondo Network Covering July 24-31, 2026, the RWA sector saw a steady on-chain total value locked (TVL) of $36.8 billion, with holder count hitting a record high. However, stablecoin transfer volumes fell sharply (~30%), indicating low on-chain settlement demand. Key regulatory moves include South Korea advancing stablecoin legislation and a push to scrap crypto taxes, Kenya lowering capital requirements for stablecoin issuers, and Zimbabwe approving seven projects for its crypto sandbox. In project developments, BIS-led Project Agorá successfully tested cross-border payments with tokenized funds across six currencies. Ten major European financial institutions formed the RL1 blockchain cooperative to build tokenized asset infrastructure. Other notable updates: Aviva launched a tokenized dollar liquidity fund on XRPL, POSCO International tokenized commercial invoices on Injective, and a Brazilian farmer used tokenized cattle as collateral for a loan. Additional progress includes BNY Mellon migrating its core transfer agent operations to blockchain, Securitize gaining SEC investment advisor registration, and Tether’s compliant stablecoin USA₮ launching on Celo. Ondo Finance introduced Ondo Network, a new execution layer focused on speed and privacy, moving away from its initial chain plans. An analysis highlights that despite the growing scale of on-chain RWAs (~$32B), approximately 90% remain underutilized in DeFi, pointing to a critical challenge in unlocking liquidity and fostering real-world application beyond mere issuance.

marsbit18 min fa

RWA Weekly: Ten European Financial Institutions Establish Tokenized Asset Cooperative; Ondo Launches New Execution Network Ondo Network

marsbit18 min fa

South Korean Stock Market Sees Sharp Rebound After Forceful De-leveraging, SK Hynix Rises 30%

On July 31, South Korean stocks staged a historic rebound. The benchmark KOSPI index surged 18.27%, with chipmaker SK Hynix hitting a 30% gain limit. This followed a brutal, near-40% decline in the KOSPI over the previous month, driven largely by a deleveraging spiral involving leveraged ETFs. Analysts attributed the sharp sell-off to structural liquidity issues rather than deteriorating corporate fundamentals. The rally was triggered by a confluence of positive catalysts. Firstly, strong earnings from U.S. cloud giants Microsoft and Amazon alleviated fears of an "AI bubble burst," boosting global tech sentiment. Secondly, SK Group Chairman Chey Tae-won made a rare personal purchase of SK Hynix shares, seen as a strong vote of confidence. Thirdly, the South Korean government announced a 20 trillion won ($139 billion) AI investment fund. In response to the market turmoil, South Korean regulators are tightening controls on leveraged ETFs, admitting oversight shortcomings. Measures include raising minimum cash保证金 requirements for散户 investors and suspending new product launches. While the rebound signals eased liquidity pressure, analysts note deep structural issues remain. The market's future stability is seen as dependent on global tech capital expenditure trends and memory chip price cycles, with some viewing the surge as a technical correction rather than a definitive trend reversal.

marsbit39 min fa

South Korean Stock Market Sees Sharp Rebound After Forceful De-leveraging, SK Hynix Rises 30%

marsbit39 min fa

Trading

Spot
活动图片