Amazon Outage Map

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Amazon Issues Reports

Latest outage, problems and issue reports in social media:

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  Maduforo _Godwin (@EmekaGo69635875) reported 3 minutes ago

  I'm a Medical Laboratory Science graduate from UNICAL, Nigeria. I also run a publishing business, 200+ books on Amazon in German, French, and English. I built it with AI and a system I worked out over months of trial and error.

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  Supriya Pradhan (@confused_skull) reported 6 minutes ago

  @AmazonHelp Despite repeated conversations with your customer support representatives, including Sahil and Simran, the issue remains unresolved.

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  Faith in the Light (@CubensisPrime) reported 13 minutes ago

  @MattyDubbs01 @VLuvMully Almost as retarded as people who trust the FBI and law enforcement after they shut down schools a church’s for a flu. Put PTA moms on terror lists, tracked anyone buying bibles on Amazon.

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  Tiffany Ford (@tford218) reported 15 minutes ago

  @mandalynns23 Here in florida Amazon has been amazing still but I canceled my walmart subscription id used for the last 5 years because the service went down hill. Nothing is in stock, the shoppers are imigrants who dont speak english and always get the wrong things. Im done with walmart.

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  Jey (@0xJeyx) reported 18 minutes ago

  VIBE CODING IS ALREADY OVER. Andrej Karpathy named it, and a year later he named the thing that replaces it. Agentic engineering. You still move faster. You just do not get to ship worse software to get there. At Sequoia's AI Ascent 2026 he compressed the whole method into one sentence: "You have to work with your agent to design a spec that is very detailed." That is SDD(Spec-Driven Development). A methodology, and Amazon, Google and Microsoft all run it. Each of them built tooling around it because they were already working this way. The order flips. You stop describing an implementation and start defining behaviour, constraints, and the condition that proves each task is done. Then the agent has nothing left to guess. Karpathy's own description of these agents: powerful, fallible, stochastic. A sharper prompt does not fix that. A document they cannot drift from does. Watch it, then read the full spec breakdown in the article below.

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  Ticker Report (@ticker_report) reported 20 minutes ago

  Shares surged 8.3% to $423.13 after Microsoft delivered a fiscal fourth quarter that blew past expectations on nearly every metric that matters to investors — and then doubled down with an AI spending commitment that dwarfs anything in corporate history. The question now: can the revenue keep up with the bill? • Azure Crushed the Street's Numbers, and the Gap Wasn't Close. Azure growth accelerated to 43%, compared with the 40% analysts had expected. CFO Amy Hood then projected 45% Azure growth for the current quarter, well above the Street's 41.4% consensus. The acceleration was driven by efficiency gains across the company's chip fleet that squeezed more output from existing data centers, plus faster lead times for bringing new capacity online. That means Microsoft grew faster without needing proportionally more hardware — exactly the leverage investors want to see. • Revenue Hit $90 Billion, but the Real Milestone Is Azure at $100 Billion a Year. Q4 revenue reached $90 billion, up 18%, with full-year revenue surpassing $331 billion. Azure's annual revenue exceeded $100 billion for the first time, up 41% for the year — trailing only Amazon Web Services among cloud providers. EPS rose 32% to $4.81 , comfortably ahead of the $4.24 consensus. For shareholders, that earnings beat translates to roughly $35 billion added to Microsoft's market value overnight. • A Quarter-Trillion Dollar Capex Plan Tests Investor Patience. FY2027 capital expenditure guidance of $255–$260 billion represents a roughly 35% increase over 2026 levels. Microsoft expects to spend more than $50 billion in the current quarter alone. When Alphabet raised its own capex forecast last week, its stock dropped 7% — investors had decided spending was outpacing the payoff. Microsoft avoided that fate because the Azure beat gave concrete evidence that demand is consuming the infrastructure being built, not sitting idle. • Margins Will Dip, and Not Everything Is Booming. Operating margins are expected to decline slightly in FY2027 due to heavy AI infrastructure investment. Xbox revenue fell 10%, and the gaming unit recently announced studio closures and layoffs. Windows device revenue is expected to drop in the high teens next year. The cloud engine is pulling a company whose older businesses are shrinking — a dynamic that makes sustained Azure acceleration not just desirable but essential. $MSFT

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  Alexandr Pro DeFi (@hell0men) reported 23 minutes ago

  AI PROFITS EXPLODED. CHIP STOCKS CRASHED. If I had zero exposure to memory and semiconductor manufacturing today, I would start building a position into this selloff. The market is pricing the semiconductor complex as if the AI investment cycle has already broken. The latest earnings, contracts and capacity data tell a different story. Over the last five sessions, $SOXX fell roughly 16%, $MU 23%, $TSM 11%, $ASML 14% and $NVDA 10%. That price action carries the fingerprints of a crowded trade unwinding: leveraged products, margin liquidations, foreign selling in Korea and indiscriminate de-risking across companies with very different fundamentals. There is a legitimate fundamental concern underneath the technical pressure. Investors believe memory earnings are approaching a cyclical peak. They are discounting new capacity, lower future average selling prices, Chinese DRAM competition $CXMT and a potential slowdown in hyperscaler capex after 2027. Those risks deserve a lower terminal multiple. The interesting question is whether the market has discounted them too early and too aggressively. SK Hynix just reported a 76% operating margin. Its quarterly revenue rose 257% year over year and operating profit increased 557%. HBM4 shipments have begun, SOCAMM2 is scaling, and the company has signed long-term agreements with around ten major customers. Micron has signed 16 strategic customer agreements, typically extending through 2030. They include take-or-pay volume commitments, price floors and ceilings, approximately $100 billion of minimum-price remaining performance obligations, and $22 billion of deposits and related financial commitments. These agreements currently cover only part of Micron’s production, so they do not eliminate cyclicality. They do provide far more visibility than memory manufacturers had in previous cycles and support capex with committed customer demand. Samsung’s full Q2 report strengthens the argument. The company generated a record KRW89.5 trillion in operating profit. Memory revenue increased 471% year over year. Samsung expects HBM, server DRAM and enterprise SSD demand to keep the market undersupplied during the second half of 2026. It is already shipping HBM4, has delivered HBM4E samples to major customers, and is expanding its custom-silicon relationship with Broadcom. The most revealing detail may be inside Samsung itself: the consumer-device division posted an operating loss as rising component costs crushed margins. Memory pricing power has become strong enough for Samsung Memory to absorb the economics of Samsung Mobile. The valuation stress test also needs to be framed correctly. 🔮A 50% decline in EPS would approximately double the current forward P/E ratios of memory producers, leaving many of them around 8–12x earnings. A 50% revenue decline would cause a much deeper earnings contraction because memory manufacturing carries enormous operating leverage. The investable thesis is therefore based on earnings resilience, contracted demand and the timing of new supply. It does not require today’s record margins to survive forever. 💽Custom AI chips provide another tailwind. Google TPUs, AWS Trainium, Meta MTIA and OpenAI’s custom accelerators still require leading-edge fabrication, advanced packaging, networking and high-bandwidth memory. The architecture is diversifying while the physical bottlenecks remain concentrated. This is why TSMC is my first choice in the current selloff. TSMC gets paid whether the winning accelerator comes from Nvidia, AMD, Broadcom, Google, Amazon or the next hyperscaler ASIC program. Around $375, I would begin with one-third of the intended position. My next accumulation zones would be approximately $350–360 and $330–340. Within memory, my quality ranking is: • SK Hynix — the strongest direct HBM leader. • Samsung — HBM4, foundry and advanced-packaging catch-up optionality. • Micron — the cleanest liquid US-listed alternative and the best disclosure of long-term contract economics. I would choose one primary memory position and use a smaller second position for diversification. Owning all three at full size creates far more correlation than diversification. Broadcom deserves a place as the direct beneficiary of hyperscalers building their own ASICs. Nvidia remains the leader in flexible compute, frontier training and the CUDA ecosystem, although custom inference chips will gradually reduce its share of incremental hyperscaler workloads. If I were starting from zero, my planned semiconductor basket would look roughly like this: • 40% TSMC • 25% SK Hynix • 15% Samsung • 10% Broadcom • 10% cash, or Micron when direct Korean access is unavailable I would deploy only the first tranche during the current decline. The opportunity exists because the market is discounting the memory downturn of 2028 while the companies are still documenting shortages, customer deposits and contracted demand extending through 2027–2030. This resembles the DeepSeek selloff in one important way: a new narrative challenged AI-capex assumptions, crowded exposure was sold indiscriminately, and leverage transformed a valuation reset into a liquidation event. The current episode may take longer to resolve because memory capacity and peak-cycle margins are genuine concerns. The rebound is likely to be uneven, with architecture-neutral bottlenecks recovering first. The thesis would weaken materially if we see customer cancellations, declining contract-price floors, a rapid increase in Chinese advanced-memory supply, falling HBM utilization or meaningful hyperscaler capex cuts. Until those signals appear, the current selloff looks like a fundamental de-rating multiplied by forced selling. That is the kind of market inefficiency I want to buy gradually. Sources: Samsung Q2 2026 earnings, SK Hynix Q2 2026 results, Micron FY2026 Q3 prepared remarks and Twelve Data through the completed July 29 US session.

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  Shravan (@shravankumarkn) reported 24 minutes ago

  @AmazonHelp This is not working only

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  Maaz Perwez (@MaazMz) reported 36 minutes ago

  @techunique_yt The problem is on all the android phones using Amazon app

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  Nancy - RavenWolf369 🐦‍⬛ 🐺 ✌🏼 (@RavenWolf369) reported 36 minutes ago

  @SusanP422 I find it very effective to ask for help on X. I have done it for FedEx and UPS. I tried the AI chat on Amazon but this is a software or other computer malfunction to change the products I ordered in my emails. I do hope I get the correct things. Hopefully your problem is resolved. For the most part my delivery is good and they follow instructions. I get frustrated when they miss the Amazon instructions and ignore the signs on my front door where to deliver as I’m disabled.

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  Hawk (@Taipan30) reported 37 minutes ago

  @carsonkrow It shut down churches but knew to stay away from strip clubs, Amazon deliveries, & big box stores. Who would of thought you could make a virus so smart.

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  Hotbox CEO (@hotboxmusic) reported 38 minutes ago

  Was 195 too of the day? Come down then pop again in AH when Amazon smashes earnings lol $nbis

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  Solomon (@iamalijandro) reported 40 minutes ago

  PRE-MARKET SNAPSHOT – JULY 30, 2026 Futures are pointing to a mixed open as traders brace for the most important data dump of the summer and two more Big Tech earnings after the close. INDEX FUTURES (pre-market) · Nasdaq 100: +0.6% - tech leading · S&P 500: +0.3% - modest gains · Dow Jones: +0.2% - lagging behind The bounce comes after Wednesday's tech-driven selloff. THE DATA DUMP GDP (Q2 Advance): forecast 2.1% annualised, matching Q1's pace. • JPMorgan cut its estimate to 1.5% after June trade data; • Goldman lowered to 1.8%. Strong consumer spending and A.I. investment are expected to offset trade drag. Core PCE (June): forecast 3.3% YoY, down from 3.4%. Monthly core PCE expected at 0.2%. This is the Fed's preferred inflation gauge any upside surprise cements September hike odds. Jobless Claims: forecast 201K, up from last week's 187K (a 1969 low). Continuing claims expected at 1.8M. The labour market remains historically tight, but the data will be parsed for signs of cooling. GDP Price Index: forecast 4.1%. Personal income expected +0.3%, personal spending +0.4%. EARNINGS AFTER THE CLOSE Apple (AAPL) – expected to show resilient demand despite the AI chip crunch. Options are pricing a ~4.3% move. Amazon (AMZN) – the AI cloud barometer. Options are pricing a ~7.2% move. OIL & YIELDS Brent crude spiked back above $90/bbl after the U.S. and Saudi Arabia struck Iran-backed groups in Iraq. Yields are also moving: the 30-year Treasury yield hit 5.211% on Wednesday — the highest since 2007. THE BIG PICTURE Three forces are converging: the Fed's hawkish hold (three dissenters, 80% September hike odds), a data-heavy morning that will shape the rate path, and Apple/Amazon earnings tonight. Markets are bracing for volatility. $SPY $QQQM $AAPL $WTI bitcoin:native

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  Aleeza Shaikh | Amazon PPC Specialist (@AleezaShai32174) reported 41 minutes ago

  Most brand owners sabotage their Amazon listings before they even launch. They forget one critical thing: 𝗔𝗺𝗮𝘇𝗼𝗻 𝗿𝗲𝘄𝗮𝗿𝗱𝘀 𝗰𝗹𝗮𝗿𝗶𝘁𝘆, 𝗻𝗼𝘁 𝗼𝗿𝗶𝗴𝗶𝗻𝗮𝗹𝗶𝘁𝘆. I realized this while sitting in a coffee shop, analyzing what separates sellers making $5K/month from those making $50K/month. The difference? They stopped overthinking. Here's what actually works on Amazon: → 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝘁𝗶𝘁𝗹𝗲𝘀 that speak to the customer's problem, not just the product's features. People search for solutions, not specifications. → 𝗖𝗼𝘃𝗲𝗿 𝗶𝗺𝗮𝗴𝗲𝘀 that grab attention. Your main image has only a few seconds to make an impression—make it count. → 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀 based on what real customers search for, not guesswork. Listen to the language your audience uses. → 𝗕𝗨𝗟𝗟𝗘𝗧 𝗣𝗢𝗜𝗡𝗧𝗦 that focus on benefits, not just features. "Get better sleep" is more compelling than "12-inch memory foam pillow." Most authors and brand owners make one mistake. They create listings for themselves. But Amazon shoppers want things to be simple. They want answers quickly. They want confidence before they buy. Stop trying to impress. Start focusing on clarity. That's when conversions improve. P.S. What's been your biggest challenge with your Amazon listings? Share it in the comments below. 👇

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  Benjamin Elvis (@thebenelvis) reported 47 minutes ago

  @IterIntellectus What's the problem with Amazon at the moment?