Amazon status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Amazon reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Amazon users through our website.

• Website Down (48%)
• Errors (28%)
• Sign in (24%)

Live Outage Map

The most recent Amazon outage reports came from the following cities:

City	Problem Type	Report Time
Benito Juarez	Sign in	10 hours ago
Piscataway	Errors	11 hours ago
Rices Landing	Sign in	14 hours ago
Salt Lake City	Errors	2 days ago
Lake Butler	Website Down	3 days ago
Annecy	Website Down	3 days ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Amazon Issues Reports

Latest outage, problems and issue reports in social media:

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  Bluray & Digital (@Movies_On_Sale) reported 2 minutes ago

  Today On (Amazon)(US) (Glitch Ditch 54 Blu-ray) $10.99 (Save 59%) iMDB (0.0) (Horror)

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  Scott Norton (@Norton_Bowling) reported 5 minutes ago

  @AmazonHelp Fix the Home Screen so it doesn’t suck?

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  David M (@Renamed_Vivid) reported 7 minutes ago

  @JohnDoritosKane @RetroCoast And to think all they have to do is flip a switch and shut it all off. I wonder what was really happening the day that the Amazon servers shut down half the Internet

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  Susheel Nughwal (@SusheelNughwal) reported 9 minutes ago

  Hi @JeffBezos, please shut down Amazon if you are unable to deliver customer service. It has been more than 1 month since I raised a refund, but still didn't received. Why should customer suffer because of you. Shame on you @amazonIN

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  Quinton Colwell (@exploresunlight) reported 9 minutes ago

  Hasn’t the detection of AI-generated text been solved with models like @pangram? I know society can be slow to adapt to new technology, but I would like to see publishers run new books through these models and provide an “estimated % written by AI score” for customers. Maybe a company like @Amazon could take the lead here on this. Regardless, this sort of thing (“AI writes NYT best-seller”) doesn’t have to be a surprise to consumers. Note: I’m not against AI-written content, I just want transparency.

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  Raye (@rayethesis) reported 9 minutes ago

  What stands out from this chart isn't that Nvidia sits at the center of the AI ecosystem—everyone already knows that—but how circular the capital flows have become. Nvidia is simultaneously a hardware supplier, an investor, and a strategic partner to many of the largest AI companies. Those same companies are backed by hyperscalers such as Microsoft, Google, Amazon, and SoftBank, which are also Nvidia's largest customers. In other words, AI is no longer a linear value chain where chipmakers sell chips to customers. It's becoming a tightly interconnected financial ecosystem where everyone owns pieces of everyone else and spends money that ultimately flows back into the same network. That's what makes Nvidia's position both incredibly powerful and somewhat concerning. Nvidia has become the "systemically important institution" of the AI economy. If Nvidia continues executing, the flywheel is extraordinary: more GPU demand leads to higher cash flows, which fund investments into AI startups, which purchase more GPUs, which attracts more cloud spending from hyperscalers. However, systemic importance cuts both ways. If Nvidia's growth materially slows—whether from overcapacity, margin compression, technological disruption, or simply weaker-than-expected AI demand—the effects won't be isolated to one company. It could simultaneously affect cloud capex spending, startup funding conditions, GPU leasing markets, and the revenue expectations embedded across much of the AI sector. That doesn't necessarily mean we're looking at an AI bubble similar to the dot-com era. Unlike speculative bubbles with little underlying demand, the spending today is producing real infrastructure and generating real revenue. Enterprises are adopting AI, cloud providers are monetizing AI workloads, and Nvidia is posting earnings numbers that justify at least a significant portion of its valuation premium. The problem isn't the absence of fundamentals—it's whether valuations have gotten too far ahead of the timeline required for those fundamentals to materialize. Markets aren't pricing AI for what it is today; they're pricing what AI could become five or ten years from now. The biggest risk, therefore, isn't that AI turns out to be useless. It's that earnings fail to catch up to expectations quickly enough. Many of these trillion-dollar narratives implicitly assume that AI spending will compound at extraordinary rates for the next decade. If revenue grows at 30% when the market expects 60%, or if inference economics become cheaper faster than anticipated, multiples can compress significantly even while the underlying businesses continue growing. That's why "mispriced valuation" is probably a better framework than simply calling it a bubble. You don't need fraud or worthless assets to lose 40–50% of market value—you only need expectations that were too optimistic. The circularity illustrated in the chart also amplifies both upside and downside scenarios. Microsoft's investment in OpenAI drives cloud demand, which drives GPU demand for Nvidia. Nvidia's investments help AI startups scale, which creates additional GPU demand and cloud spending. Google's, Amazon's, and SoftBank's commitments create similar feedback loops. The market currently views this circular relationship as a strength because every participant reinforces the others. But feedback loops are neutral mechanisms—they amplify weakness just as effectively as they amplify strength. If one of the major pillars begins reducing AI spending, the effects can cascade throughout the ecosystem much faster than investors expect. The AI trade today looks less like a bubble and more like an aggressively priced ecosystem bet centered around Nvidia. The chart highlights an uncomfortable reality: diversification within AI is often more concentrated than it appears. Investors may think they're buying different themes, AI models, cloud computing, semiconductors, robotics, or enterprise software, but many of those bets ultimately converge on the same assumption: Nvidia continues to sell ever-increasing amounts of compute into an exponentially growing AI market. If that assumption holds, most participants win together. If it doesn't, they may discover they weren't nearly as diversified as they thought.

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  Dale Carhartt Jr. (@Sheetrockdust) reported 10 minutes ago

  @_ROTE_ There’s a fee, but what problem I see is that Amazon already has the logistics systems mature enough for both Prime & Whole Foods now to be able to overtake supermarkets & COSTCO tomorrow. I’ve seen enough people in my circle go, “Yeah you can order that on Amazon grocery now.”

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  Silence 🇺🇸 (@Fuzz2149) reported 14 minutes ago

  @Amazon congrats, you've ruined the Android app. I signed in on my laptop. Now when I use the Android app I cannot proceed due to a screen informing me of a new sign in. There is a little 'x' in the upper left that doesn't do anything. The only option that works is to click on a link to tell you it wasn't me. It was me. I don't want to secure my account. It was me. Uninstalling and installing again doesn't fix things Clearing cache works until the next time I start the app.

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  hedge-fund.io (@hedge_fund_io) reported 15 minutes ago

  be more capable of reconstructing this body of knowledge from scratch? And finally, several of the hyperscalers (SpaceX, Amazon, Meta) have their own satellite networks which may not only eventually host computing platforms or beam down energy from orbit, but they could likely

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  dirtydelta69 (@dirtyreplyguy) reported 16 minutes ago

  @BleedOilBlue @dstaples I thought Amazon was aweful. Their panels are terrible.

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  GG Jayce (@GG_Jayce) reported 27 minutes ago

  FULL RECAP OF TODAYS STOCK MARKET JOOSE Dow ripped +537 points (+1.03%) to 52,747, its third straight up day. S&P 500 barely budged, +0.21% to 7,428. Nasdaq Composite -0.22%. But the Nasdaq 100 got smoked, -1.45% to 27,632. Chip stocks were the whole story today. $GLW got destroyed, -18%, worst day since 2002. Actually BEAT Q2 estimates (EPS $0.78 vs $0.75, rev $4.74B vs $4.62B) but guided Q3 revenue to $4.9-5B vs the $5B Street wanted. Dragged Marvell, Lumentum, Coherent, AXT all down 10%+ with it. Chip selloff started overnight in Asia. Samsung -13%, SK Hynix -14.65%. $MU and $AMD both -8%+ here in the US, SMH ETF down 3%+ for a 4th straight day. $KO was the bright spot, +5% on EPS of $0.97 (vs $0.93 exp) and $13.38B revenue, up 7% YoY. Raised full-year guidance across the board. $BA beat on revenue ($24.6B vs $23.95B exp, deliveries up 14% to 171 planes) but posted a 76 cent adjusted loss vs 30 cents expected, thanks to a $280M Air Force One charge. UPS beat and raised (rev $22.8B vs $21.81B exp, EPS $1.76 vs $1.66 exp, guidance up to $91.2B for the year) and the stock still dropped almost 5%. Margin worries won out. Consumer Confidence came in at 90.8, missing and down from 92.2 in June. Jobs "hard to get" reading jumped to 22.5%. After hours: $F +6% on an earnings beat and raised guidance, Teradyne +14%, Seagate +8%. Visa -2% and NXP -5% on soft guidance despite beats. Big late day headline: Iran fired ballistic missiles at US forces in the Middle East, US intercepted them. Oil spiked, WTI +4.4% to $82.73, reversing a multi-day slide. Fed meeting kicked off today, decision comes tomorrow 2pm ET from Chair Kevin Warsh. Rates expected to hold, but oil spike just nudged rate-hike odds up a bit. Tomorrow is loaded: Fed decision and presser, THEN Microsoft and Meta earnings after the close. Apple and Amazon report later this week too.

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  Rohit Mohite (@RohitMo53046335) reported 28 minutes ago

  @AmazonHelp Link not working

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  Anmol Gupta (@i_am_anmolg) reported 31 minutes ago

  A founder came to me this week. New brand. Five marketing agencies. More than ten lakhs spent between agency retainers and ads. Zero traction on Amazon, Flipkart, or Myntra. His question was whether AI could solve the problem. I told him the honest answer. No. Not because AI cannot run campaigns. It can. I use it to run my own. But I have eleven years of context about my business, my customer, and what has worked before. That context is what I am bringing to the AI. Not the other way around. If you do not have that context, the AI will do exactly what any eager junior would do. It will try to figure out what you want and tell you that. It will not tell you that your campaign structure is wrong, your targeting assumptions are off, or that your category has a discovery problem no amount of spend will fix. AI amplifies judgment. It does not replace it. This is the mistake I see founders make when they come to me after burning money on agencies. They think the next step is smarter tooling. It is not. The next step is finding someone who has sold in your category before, who knows what good looks like, and who can give the AI something real to work with. Get the strategy right first. Then automate it.

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  BlockFlow (@BlockFlow_News) reported 33 minutes ago

  🚨 🚨 Earnings to watch this week. A summary what you should and must know $BE - Leopold Aschenbrenner's largest bull position in the 13F portfolio of Situational Awareness LP. - Q2 2026 results scheduled for after market close today, with conference call at 5:00 PM ET. - Currently -13% ahead of earning. $PYPL - Released this morning (before open). - Beat estimates (revenue ~$8.68B, adjusted EPS $1.38 vs. ~$1.28); +4.3% after earning. - Stripe and Advent International offered $53B to acquire PayPal at $60.50 per share. $SKHY - DRAM market share: #2 overall at ~29% - US ADR listed on Nasdaq on July 10 in a record $26.5B offering (priced at $149). Has since fallen sharply, -21.35% and is trading well off those highs. - Q2 results / earnings call is on Jul 29 at 9:00 a.m. KST (8:00 p.m. ET on July 28). $MSFT - Biggest AI CapEx story this week (>$190B planned for the year). - Azure growth, cloud margins, and whether AI spending is converting into real returns will dominate the call. - Q2 results scheduled for after market close on Jul 29; now -15.75% YTD. $META - New $14B joint venture with BlackRock for a 1 GW AI data center campus in El Paso, Texas. BlackRock-managed funds own 80%, Meta retains 20%. Meta is the sole initial tenant; first capacity expected online in 2028. - These projects sit at the center of the broader AI CapEx debate ($125–145B guidance for 2026) and questions around ROI / excess compute. - Q2 results scheduled for after market close on Jul 29. $HOOD - Recent product pushes (own blockchain, stock tokens, Platinum Card, prediction markets). - Built for tokenized stocks/RWAs, but early momentum has been dominated by vigorous memecoin launches and trading; currently -18.77% YTD. - Q2 results scheduled for after market close on Jul 29, conference call at 5:00 PM ET. $SOFI - Q2 results scheduled for before market open on July 29 - SoFi EVP Kelli Keough sold 10,954 shares at an average price of $17.19. She has also made two recent stock sales on Jun 22 and May 20 respectively. - $SOFI is -39% YTD. $AAPL - The 2nd company in history to surpass $5 trillion in market cap. It's now the world’s largest company, approximately 6% larger than Nvidia. - Previously raised prices on MacBook and Mac mini (and iPads) in late June due to soaring memory/storage chip costs driven by AI data-center demand. - Key focuses for earnings includes Services growth, iPhone demand, China recovery, and Apple Intelligence / AI feature adoption. - Q3 FY2026 results scheduled for after market close on Jul 30. $AMZN - Amazon is overhauling its AI strategy by winding down much of its flagship Nova lineup and concentrating engineers + computing resources on a smaller number of frontier-model efforts. - Other key focuses includes AWS growth rate, AI CapEx intensity, advertising momentum, and retail margins. - Q2 results scheduled for after market close on Jul 30. $COIN - Jesse Pollak stepped back from the Base App (admitting the SocialFi / creator coins bet failed) and handed it over to Cobie. - Base meme activity has gone quiet since CEO Brian Armstrong denies meme endorsement. - Broader focus remains on expanding beyond trading (stablecoins, Base L2, prediction markets, Everything Exchange). - Q2 results scheduled for after market close on Jul 30. $RDDT - Strong expected ad revenue growth (analysts ~$745M, +49% YoY). $1B share buyback authorized. - Stock dropped sharply on reports Reddit is reconsidering / may not renew its AI content licensing deal with Google. - Q2 results scheduled for after market close on Jul 30, conference call at 4:30 PM ET. $MSTR - Pure leveraged Bitcoin play (holds ~843k BTC). Update on accumulation strategy, BTC yield, or buybacks is critical. - Q2 results scheduled for after market close on Jul 30. - Stock has been hit hard by the recent Bitcoin selloff. KIOXIA - Japanese NAND flash memory maker (key player in storage chips). - SK Hynix-related vehicle rising as a major shareholder as Bain Capital exits and Toshiba continues reducing its stake. - Now already -59% from its ATH - Q1 FY2026 financial results released on Jul 31 at 15:30 JST (2:30 AM ET).

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  KIRAN (@KiranMortha) reported 33 minutes ago

  @AmazonHelp I have connected with your team a million times. They just terminated chats without resolution. The issue has existed for more than a year and this is what you do every time. Why is your Chat support so low grade and unprofessional?

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  ***** Feet Cleaner (@MrOnTheRoad43) reported 37 minutes ago

  @psltiddies Or for those of us who want to put the phone down or stop using spotify and amazon

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  Jack Merridew (@OGmerridew) reported 37 minutes ago

  @FischerKing64 small businesses and local pressure against walmart and amazon was the entire reason the situation got so bad in nyc to begin with i'd say **** the small businesses and be less hostile to walmart -> problem solved

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  Namrata (@choicesgame9) reported 38 minutes ago

  @AmazonHelp can't login to my I'd,it's sending verification to some old no.,can't even change it,tried everything but to no avail,what to do?? I'm locked out of my account 😔. Email login also isn't helping 😭.

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  Hago Community (@HAGOCommunity) reported 38 minutes ago

  What Is Printify and How Can You Make Money From It? E-commerce has become one of the most popular ways to build an online business, especially with the growth of the print-on-demand model. This business model allows people to sell customized clothing and other products without owning printing equipment or storing inventory. Printify is one of the best-known platforms in this industry. It helps designers and online store owners turn their ideas into physical products that are printed and shipped only after a customer places an order. What Is Printify? Printify is a print-on-demand platform. Under this model, a product is manufactured only when someone purchases it, instead of being produced in large quantities and stored in advance. The platform offers more than 1,300 customizable products, including T-shirts, hoodies, mugs, bags, stickers, phone cases, posters, and many other items. After choosing a product, the seller can upload a design, position it on the item, and preview how the final product will look before publishing it for sale. Printify is not a marketplace that buys designs from creators. It is also not a single printing factory. Instead, it connects sellers with a network of printing providers located in different countries. Sellers can compare providers according to product prices, location, customer ratings, production time, and shipping options. What Does the Seller Do, and What Does Printify Do? The responsibilities are divided between the seller and Printify. The seller is responsible for: Creating the design. Choosing the product. Setting the retail price. Preparing product images and descriptions. Publishing the product in an online store. Marketing the product. Attracting customers. Managing customer questions and store policies. Printify and its printing providers are responsible for: Printing the design on the product. Packaging the order. Shipping it directly to the customer. Providing tracking information when available. This means that the seller does not need to purchase printing equipment, rent a warehouse, package products, or visit a shipping company. How Do You Start Using Printify? The process begins by creating an account on Printify and selecting a product from its catalog, such as a T-shirt, mug, or bag. The seller then uploads a design and places it in the appropriate printing area using Printify’s design tool. Printify can be connected to several e-commerce platforms, including: Etsy Shopify WooCommerce Wix eBay BigCommerce Squarespace Amazon US TikTok Shop US Once the online store is connected, the seller can publish the product and choose its selling price. When a customer purchases the item, the order is sent to Printify. Printify then forwards it to the selected printing provider, which produces and ships the product. How Can You Make Money With Printify? You do not earn money simply by uploading a design to Printify. Profit is generated only when a customer buys the product from your store. The basic profit formula is: Net profit = Selling price − Product and printing cost − Shipping cost − Marketplace and payment fees − Advertising, taxes, and other expenses For example, imagine that you sell a T-shirt for $25. Product and printing cost: $10 Shipping cost: $5 Marketplace and payment fees: $3 Your estimated profit would be: $25 − $10 − $5 − $3 = $7 This is only an example. Actual costs depend on the product, printing provider, customer’s country, shipping method, selling platform, and advertising expenses. How Does Payment Work? In most store integrations, the customer pays through your online store or marketplace. Printify then charges your bank card or Printify balance for the production and shipping costs before sending the order to the printing provider. The money paid by the customer is usually not transferred directly from the selling platform to Printify. Therefore, the seller needs to have enough money available to cover production costs while waiting for marketplace payouts. This is important because a sudden increase in sales may require temporary working capital to process all orders. Can You Use Artificial Intelligence to Create Designs? Yes, artificial intelligence can be used to create designs for T-shirts and other products. Printify also provides an AI image-generation tool that allows users to create images by entering a written description of the desired design. Designs created with AI may generally be used commercially, provided that the user follows the policies of the AI tool and does not violate intellectual-property rights. When using an external AI platform, the seller should review its terms and confirm that commercial use is permitted. However, generating an image with AI does not automatically make it suitable for sale. The seller should still: Check the image for mistakes. Improve the design when necessary. Remove unwanted details. Make sure the resolution is suitable for printing. Choose colors that work well on the selected product. Ensure that the design is original and visually attractive. The Best Ways to Increase Your Chances of Making a Profit One of the most effective strategies is to target a specific group of customers instead of creating general designs for everyone. For example, sellers can create products for: People working in a certain profession. Fans of a particular hobby. Pet owners. Travelers. Teachers or healthcare workers. People celebrating birthdays or special occasions. Customers interested in motivational or humorous messages. After choosing a target audience, the seller should research similar products to understand popular styles, pricing, and the keywords customers use when searching. The purpose of competitor research is not to copy other sellers. It is to understand customer needs and develop an original product that provides something different. Choosing the right printing provider is also important. A provider with good ratings, reasonable prices, reliable quality, and a location close to the target market may offer faster and cheaper shipping. It is also recommended to order a sample before launching a product. A sample allows the seller to inspect the fabric, printing quality, colors, sizing, and packaging. Samples are normally not free, but testing the product can help prevent customer complaints and larger financial losses later. Professional product images are also essential. Sellers should use attractive mockups, write clear titles, explain the product materials and sizes, and provide accurate care instructions. After publishing the product, marketing becomes a major part of the business. Products can be promoted through social media, paid advertising, search optimization, content marketing, and influencer partnerships. Is Printify Free? Printify offers a free plan that allows users to create products and operate connected stores without paying a monthly subscription fee to Printify. However, the seller still pays for production and shipping whenever an order is placed. The seller may also need to pay fees charged by the marketplace, payment provider, advertising platform, or website service. Printify also offers a Premium plan with product discounts and additional features. It may be useful for stores that already receive regular orders. Beginners can usually start with the free plan and upgrade later when the savings from product discounts become greater than the subscription cost. Risks and Mistakes to Avoid One of the biggest mistakes is using copyrighted or trademarked material without permission. Sellers should not use: Company logos. Sports-team logos. Movie or television characters. Video-game characters. Celebrity photographs. Famous brand names. Artwork copied from another seller. Protected slogans or song lyrics. Designs that closely imitate existing trademarks. A design may still violate intellectual-property rights even when it was generated by artificial intelligence. For example, asking an AI tool to create a well-known cartoon character or a design in the style of a protected brand does not automatically make the result legal to sell. Sellers must own the content they upload or have the legal right to use it commercially. Other common mistakes include: Choosing the cheapest printing provider without checking quality. Selling without ordering a sample. Ignoring marketplace and payment fees. Setting prices too low. Failing to calculate advertising costs. Using poor-quality images. Providing unclear size information. Expecting Printify to find customers automatically. Because print-on-demand products are created specifically for each order, returns and exchanges may also be limited. Printify does not generally provide returns simply because a customer selected the wrong size, chose the wrong color, or changed their mind. However, damaged products, printing errors, and manufacturing problems may qualify for a replacement or refund when they are reported within the required period and supported with clear photographs. Is Profit From Printify Guaranteed? No, profit is not guaranteed. Printify handles product fulfillment, but it does not guarantee that customers will purchase your products. Success depends on several factors, including: Design quality. Product selection. Market demand. Pricing. Marketing. Search visibility. Shipping speed. Customer service. Competition. Cost management. The first design may not generate any sales. Sellers often need to test different ideas, study customer behavior, improve product listings, and replace designs that do not perform well. It is usually better to begin with a small collection of high-quality products instead of uploading hundreds of random designs. The seller can then expand the store based on products that receive views, clicks, favorites, or actual sales. Conclusion Printify is a useful platform for starting a customized-product business without purchasing inventory or owning printing equipment. The seller creates the design, publishes the product, determines the price, and markets it. Printify and its printing partners handle manufacturing, packaging, and shipping. Both handmade and AI-assisted designs can be used, provided that the seller has the legal right to use them and does not violate trademarks or copyrights. Profit is not generated simply by uploading a design. It is created when the seller reaches the right audience and sells the product at a price that covers production, shipping, marketplace fees, advertising costs, and other expenses while leaving a reasonable profit margin. Printify is therefore not a guaranteed or instant way to become wealthy. However, it can be a practical tool for building a real online business when combined with original designs, careful market research, effective marketing, and proper cost management.

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  🐧 (@penspenspens412) reported 39 minutes ago

  @SlothCommander0 @worxerrtime @SStricklandMMA What this person is literally describing Terro ant traps. Just buy a pack off Amazon for like $5 .. crack one open and lay it down where the ants are. One week later they'll be completely gone.

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  ✨⸆⸉ (@yayainbloom) reported 39 minutes ago

  Amazon so secretive with their notifications now "baby item delivered" "office supplies shipped" They got in trouble or something?

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  Edward Torres (@Murderstorm117) reported 39 minutes ago

  @HighDefDiscNews I bought both versions but Amazon let me down and delayed my shipment

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  Sumeet Shisodia (@shisodia_sumeet) reported 45 minutes ago

  If you missed today's US market action, start here. These are the biggest stories from the session, and my quick take on what matters. 1. The Dow led while the Nasdaq lagged The S&P 500 rose 0.2%, the Dow jumped 537 points, or 1%, and the Nasdaq slipped 0.2%. The Russell 2000 also rose 0.2%. My Take: This was rotation, not a full market breakdown. Investors rewarded non-tech earnings and kept questioning the crowded AI trade. For Indian investors, that means US exposure is not only one Nasdaq story. 2. AI and chip stocks stayed under pressure Micron fell 8.9%, AMD dropped 8.1%, and Applied Materials lost 7.8%. The pressure also hit Asia, where South Korea's Kospi fell 10.8%. My Take: The market is testing whether AI infrastructure spending can earn real returns. This matters for anyone tracking Nvidia, AMD, Micron, Broadcom, and semiconductor equipment names from India. Demand can be real, but valuation still has to survive a harder funding test. 3. Old-economy earnings carried the tape Coca-Cola rose 5%, Sherwin-Williams gained 8.3%, and Illinois Tool Works added 3.6% after stronger earnings updates. That helped the Dow outperform. My Take: This is a useful reminder during AI earnings week. The market is still willing to pay for execution, pricing power, and guidance outside the AI complex. A US portfolio should not become only a chip-cycle bet. 4. Oil cooled and yields moved lower Brent crude fell 4.4% to USD 82.08 per barrel, down sharply from last week's USD 102 spike. The 10-year Treasury yield moved down to 4.60%. My Take: Lower oil and lower yields helped support the broader market. For Indian investors, oil is not just a commodity headline. It flows into inflation, currency pressure, and risk appetite for emerging markets. 5. Big Tech earnings became the real AI test Microsoft and Meta report after Wednesday's US close. Amazon and Apple follow on Thursday. Investors are focused on capex, cloud demand, margins, and free cash flow. My Take: The market is no longer impressed by AI spending alone. It wants proof that spending turns into revenue, margin durability, and cash generation. That is the lens to use before reacting to any headline beat. 6. Seagate gave the battered AI trade one bright spot After the close, Seagate reported fiscal Q4 revenue of USD 3.6B, up about 49%, and adjusted EPS of USD 5.71. The stock rose after hours as AI storage demand stayed strong. My Take: This is a second-order AI signal. If data generation keeps rising, storage can benefit even when GPU and memory stocks are selling off. Indian investors should watch whether the AI profit pool is rotating, not disappearing. 7. Bloom Energy strengthened the AI power story Bloom Energy reported Q2 revenue above USD 1B, more than double last year, and adjusted EPS of USD 0.78. The stock jumped after hours after the company raised its full-year outlook. My Take: Power is still one of the most important AI bottlenecks. The risk is valuation and execution, but the demand signal from data centers is real enough to keep the theme alive even when chip sentiment is weak. What I am watching next: Wednesday is the key test. If Microsoft and Meta defend AI capex with cloud growth, ad strength, margins, and free cash flow, the tech tape can stabilize. If they raise spending without clearer payback, the AI correction can spread beyond chips.

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  Ken Rideout (@KenRideout_) reported 49 minutes ago

  A murder hornet left its stinger buried in Mark Vins’ arm as the venom sac continued pumping. A giant centipede sank its fangs beneath his skin and left blood pouring down his wrist. But Brave Wilderness was never supposed to be only about getting bitten and stung. Mark joins Ken to explain how a rejected wildlife show became a YouTube phenomenon, why the “cow killer” video changed their lives overnight, and how the channel evolved from viral sting videos into conservation filmmaking across the Congo, Amazon and Galápagos. They also discuss anaphylaxis, EpiPens, cave diving beside human remains, armed wildlife rangers, shark finning, rare pink iguanas and the physical toll of spending nearly 300 days a year on the road. New episode dropping tomorrow @realmarkvins

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  Milk Road Stocks (@MilkRoadStocks) reported 51 minutes ago

  Jeff Bezos watched $AMZN fall from $113 to $6 a share but he wasn't worried. This was during dot-com bubble burst in 2000. A 95% collapse in a matter of months. The environment was one of total panic. But @JeffBezos was looking at the actual numbers. Every single month that the stock price fell, customers went up. Gross profits went up. Losses as a percentage of sales went down. New customers, repeat purchases, every metric they were tracking kept getting better the entire time. The stock said Amazon was dying but the business said the opposite. Bezos quoted Benjamin Graham: "In the short term, the stock market is a voting machine. In the long term, it's a weighing machine." His job and the job of every founder and entrepreneur was simple: build a heavy company. Make the fundamentals so strong that when the market eventually gets around to weighing the business, there's no question. But the question that matters is the same one Bezos was asking in 2000: Are the underlying business metrics for $AMZN still moving in the right direction? Our AI analyst definitely believes so. He is now 30% up on $AMZN position. Our AI analyst has also called called $AMD, $MU, $CRDO and $NBIS before their big runs. All based on fundamentals, not price action. Don’t miss the next call, come join us for just a $1. (link in bio)

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  I'll fact-check ya🇺🇲🇺🇲 (@whaddatwit) reported 53 minutes ago

  @KSHB41 I'm truly sorry this happened to the community & the city. The city should try a couple surveillance cameras, a few motion lights & a gate alarm they can get for a few hundred bucks on Amazon to try to solve the problem that will just keep coming back until they do.

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  sharmi (@Sharmi_Shrawzz) reported 54 minutes ago

  @amazon @amazonIN This is not acceptable as we are facing these kinda issues these days.. Out of disappointment, I have canceled the order this morning. Pls tak necessary action on delivery agent, so he don't behave same way with other ppl.

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  Tapas (@Tapas1776) reported 54 minutes ago

  @CurlyRunnerEric I like it alot actually. Was super easy to instal and it was milled down flatter on the spin so it doesnt stick out as much. You can find them on the NDZ website. I think Amazon carries the grip safety also

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  C (@C8eaam) reported 56 minutes ago

  @stefanydavla TRADESEA was down 2 weeks ago cause Amazon was down

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  Sam 💎⚡ (@imissrengoku) reported 58 minutes ago

  i love dark romance but writing a **** on a baby shouldn't be a dark romance but a crime. That's too much. They took it down from amazon but the french author who writed this is gonna publish it again...