Amazon Outage Map

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Amazon Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Gerhard Kürner (@gerhardkuerner) reported 3 minutes ago

  And the money wants proof. This earnings week the market rewarded demonstrated AI demand (Microsoft +8%, Amazon +10%, capex toward $220B) and punished spending that runs ahead of it (Meta -8%, capex guide $130-145B, free cash flow down 91%).

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  ً (@e_aaa10) reported 3 minutes ago

  Hello @BELIFTLAB @amazonmusic, We would like to report an issue with EVAN’s artist profile on Amazon Music. An unrelated song has been incorrectly associated with his artist page. Please look into this matter and correct it as soon as possible, thank you.

• 
  Alvin (@Alvin1492840) reported 4 minutes ago

  Rule 3: Understand the shipping before you order — because "free" has a timeline. Most Americans are conditioned by Amazon Prime to expect 1–2 day shipping. They order on Monday, it arrives Tuesday or Wednesday. The speed is invisible. It's just how shopping works. Temu's standard shipping is free on orders over $10. But the delivery window is 7–15 business days, sometimes longer. The products ship from factories or consolidation hubs in China via economy international carriers. They clear US customs, transfer to USPS or UPS for final delivery, and arrive at your door roughly 10–18 days after you click "Place Order." He told her this timeline isn't a flaw. It's the trade-off. Temu's prices are 70–90% lower than Amazon in many categories because Temu doesn't maintain US warehouses stocked with inventory. Amazon's 2-day shipping is funded by the $139 Prime membership, the 15% referral fee charged to sellers, and the FBA fees that add $8–$15 per unit to every product. Temu eliminates all of that by shipping directly from the factory. The price drops. The wait increases. He told her the shipping timeline changes what Temu is good for and what it isn't. Temu is excellent for planned purchases — things you need next month, not tomorrow. Restocking phone cases, ordering storage bins for a move 3 weeks away, buying gifts for a birthday that's a month out, loading up on travel accessories before a trip. Temu is terrible for urgent purchases — things you need this week, replacement items, time-sensitive gifts. He said to think of Temu as a planning platform, not an impulse platform. If you need it tomorrow, use Amazon. If you need it next month, check Temu first. The same product at 80% less just requires patience.

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  bitk0rns (@bitk0rns) reported 4 minutes ago

  @Blackwellboy Get a slow ship one from a seller directly? Thru Amazon was fine for me.

• 
  Viora Tech (@Viora_Tech_Ai) reported 15 minutes ago

  Lesson 3: He paid for a sample before he paid for anything else. For the ring light specifically, he ordered one unit before committing to anything larger — $9 for the item, $24 for express shipping, delivered in 6 days. He compared it directly against a photo of the Amazon listing he'd almost bought. Identical, down to the tripod thread and the remote button layout. That one $33 sample confirmed the entire chain was legitimate before he spent a dollar more.

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  tom keene (@tomkeene) reported 17 minutes ago

  read, repeat… ´Apple spent $6.8 billion on capex in nine months, less than Amazon spent in five days, and generated $110 billion in free cash flow…It has $146 billion in cash and securities. The supply issue is a demand problem in reverse, they can't make enough to keep up, which is the opposite of what Alphabet, Mea, and Amazon are facing.’

• 
  Amazon Help (@AmazonHelp) reported 21 minutes ago

  @9bgogc Hi, we're very sorry to hear about the issues you've experienced with receiving your air fryer. Just to clarify, which Amazon website was your order placed on (.com, .uk etc)? Please don’t provide any order/account details over social media as we consider them to be personal information, thanks. -Kara

• 
  Lunar Think Trade (@LunarThinkTrade) reported 22 minutes ago

  Amazon: Best positioned to win token-as-a-service Amazon was visibly late to the AI train through 2023 and early 2024. Azure rode the OpenAI partnership to the fastest absolute growth, and Google leaned on Gemini plus its TPU stack. But the slow start highlighted structural advantages that are now compounding. Here is the case across three pillars. 1. The in-house silicon stack (Graviton, Trainium, and Inferentia) This is the differentiator. Amazon runs three custom lines: Graviton (Arm-based general-purpose CPU) and Trainium (AI training/inference accelerator), and Inferentia. In Q4 2025 Jassy noted that two large AWS customers asked to buy all of Amazon's Graviton capacity for 2026, which the company declined given other demand. The chip business grew roughly 150% Q/Q through 2025. The vertical integration lets AWS undercut GPU-priced compute on margin while still capturing spread, which is exactly the "token as a service" economics: if you own the silicon, the memory controller, the networking, and the data center, you control cost per token end to end rather than paying Nvidia's markup on every unit. Google has the same logic with TPUs. Microsoft does not yet have silicon at that maturity, which is why it remains the most exposed to Nvidia's pricing. Trainium has the higher run rate over TPUs as of 2026. 2. Dominant cloud provider and enterprise ecosystem AWS is still the largest single cloud, roughly 30% share and about double Google Cloud in absolute revenue, and it holds the deepest enterprise install base. In November 2025 OpenAI signed a $38 billion multi-year capacity deal with AWS. In February 2026 Amazon agreed to invest up to $50 billion in OpenAI, made AWS the exclusive third-party cloud distributor for OpenAI's enterprise platform, and OpenAI added $100 billion over eight years to the existing $38 billion agreement. The unlock was possible because OpenAI's exclusive Microsoft cloud arrangement was renegotiated in 2025, removing the right-of-first-refusal that had locked OpenAI to Azure. OpenAI also committed to two gigawatts of AWS Trainium capacity for training, so this is not just GPU rental, it feeds back into the wheel in pillar one. Meanwhile, hosting, training, and investing heavily as the biggest cloud provider for Anthropic. AWS now hosts both frontier labs (Anthropic and OpenAI) plus the broadest enterprise base, which is the ideal position to be the neutral tokens-for-hire layer that enterprises actually buy from. 3. Why the financing makes sense (growth rate x margin x cost discipline) Why does Wall Street Particularly like the increased capex spending from $AMZN ? AWS grew 24% in Q4 2025, its fastest in 13 quarters, with a 35% operating margin. AWS generates the most operating income in Amazon. The cost-efficiency posture Jassy focused on when he first took over as CEO is materializing: stripped fulfillment and headcount cost out of the retail business, which is why Amazon can absorb a 200B+ capex year without the same free-cash-flow shock. That said, Amazon's free cash flow is projected to turn negative in 2026, and Amazon signaled in an SEC filing it may raise equity and debt to fund the build-out. AWS is front-loading capacity against committed demand rather than speculative demand, with contracted backlog (OpenAI, Anthropic) underwriting the spend, and 24% growth on a $142B run rate. Amazon's optionality is now levered to both labs. Amazon has invested $8 billion in Anthropic, opened the $11 billion Project Rainier data center in October 2025 to train and serve Anthropic models, and Anthropic committed to 1 million Trainium2 chips by end of 2025. Layer the up-to-$50B OpenAI stake on top, and Amazon holds equity-like exposure to the two most valuable model companies plus the infrastructure revenue they generate. $AMZN is objectively top 2 in ALL 3 PILLARS KEY TO SUCCESS. This is why they are structurally in the best position to host AI infrastructure.

• 
  Syed Anas (@Anas_158) reported 22 minutes ago

  @amazon @AmazonHelp Please update the order status immediately, arrange the return pickup ASAP, and process my refund without any further delay. This issue has already been pending for over a month. (3/3)

• 
  The Fundamentalist (@Funmentalist) reported 23 minutes ago

  $NBIS $IREN What has improved the investment thesis lately? I was always bullish on the neocloud sector from the moment I saw that the demand is actually real and hyperscalers and frontier labs are willing to use their capacity as a bridge before they build out their own Then we were battling two main bearish arguments, and one of them was that hyperscalers will eventually no longer need them as they build out their own internal capacity. The idea wasn’t wrong, and I agree that this might eventually happen, but it will be a state when both $NBIS and $IREN won’t serve hyperscalers as their main customers. Nebius has told investors for several quarters now that their strategy is misunderstood and that they want to serve smaller enterprises while using hyperscaler deals as a tool for easier financing of the buildout. I am not sure what the strategy of $IREN was from the beginning, but you can see them diversifying the client portfolio a lot lately, and with their "rebranding" to AI Cloud, they are definitely going the same direction as Nebius right now. Not only will this give you a better margin profile, but also diversification, which is essential for a healthy business and also important to many institutional investors as it de-risks your revenue stream. However, the main point of discussion was always the profitability part. Many bears, such as Chanos himself, kept pointing out (and at that time correctly) that these initial hyperscaler deals have terrible terms and the math is not mathing. They argued that before you repay the costs of building out the data center and filling it with running GPUs, this equipment will be useless and you will run into the same cycle again. They were right, and I kept paying attention to it during the last year as well. But they missed or didn’t expect two things: 1) The improving nature of deals that both Nebius and IREN can sign. Not only is this confirmed by both of these companies, but also by the biggest players in the sector. Google said during their Q2 call that one of the reasons they see such a good ROIC is that these deals just keep getting better and better, which is essentially the first input when you calculate the cash flow model, as revenue/MW is at the end what decides whether this business model is feasible or not. 2) DC and GPU lifecycle I think this was my biggest differentiator from the bears, and I never had a doubt that these projections, where GPU lifecycle was estimated to 3-4 years at maximum, were completely wrong. I never really understood why we would expect 3-4 years and not 5+, when we look at H100. We were given an expected lifespan to be between 5-7 years, but here comes the most important part, so listen carefully. This was then reduced (estimated) to 3-5 for heavy AI frontier training, which is exactly what scared many investors and fueled the bears. This is where you need to understand the technology and where you get the huge shift. After these, let’s say 3-4 years of heavy AI training, you can actually move the training to new generations of GPUs and still use the old ones for, let's say, years 5-6 for inference and fine-tuning purposes. Even then, we can expect some residual value from the GPU as I am convinced we will find some use cases for it as the business model matures. This is also connected to the first argument about diversifying your portfolio with smaller enterprises. Do you think these smaller companies will require that much raw computational power and memory bandwidth as those training frontier models? Obviously not, so it might even push your lifecycle to 6-7 years per GPU (training + inference) and then some residual value and other use cases. I was surprised how many institutional investors were asking these or directly connected questions to the likes of Google, Amazon, and Microsoft during their earnings calls this quarter. But it helped the sector significantly as all of them ensured that the ROIC is extremely attractive because not only Google confirmed what I said about the first argument that deals keep getting better and better, but also they confirmed that the lifecycle of data center is quite long with Amazon yesterday mentioning that it could be up to 30 years with one GPU cycle being 5-6 years where the cost of that equipment is repayed within 3 years, directly shattering the bear thesis about negative cash flow during the whole cycle. If this is how each cycle works, meaning you get extremely profitable business for 2-3 years (or more) each cycle, you are looking at absolutely mindblowing numbers with revenue/MW increasing and demand not stopping, as Amazon confirmed that demand is "striking" in 2028 as well. I was getting more and more bullish every call, and Amazon did it for me yesterday with these comments about lifecycles, how fast they get repaid on every cycle and the fact that they see AWS becoming a $1T revenue business.

• 
  niy #RIDEORDIE (@witheevan) reported 29 minutes ago

  @LHSGlobalTeam Hello @BELIFTLAB @amazonmusic, We would like to report an issue with EVAN’s artist profile on Amazon Music. An unrelated song has been incorrectly associated with his artist page. Please look into this matter and correct it as soon as possible, thank you..

• 
  Hamza Mukhi (@MukhiHamza) reported 32 minutes ago

  @AmazonHelp Pls replace because pen is not working

• 
  bug (@bugaboo_music) reported 34 minutes ago

  idk man there is more serious **** to be concerned about than LITERAL GARBAGE i’m still just in disbelief she ******* TRACKED DOWN my roommates JOB based off an AMAZON package - seriously get a ******* life lady and chill ******** out omg

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  🇷🇺🇮🇷🇦🇲🇬🇪🇰🇿🇨🇳 (@WestAsianMMA) reported 34 minutes ago

  @CarlZha they 👨🏼🇪🇺 ruin literally anything and everything. from chopping down the amazon rainforest for european profit 💰, to poisoning rivers, to polluting our air, to this.

• 
  Hamza Mukhi (@MukhiHamza) reported 35 minutes ago

  The product is clearly eligible for replacement, but Amazon is refusing to provide one. Instead of honoring its own replacement policy, Amazon keeps showing errors and denying support. This is unfair to customers and feels like misleading service. Dear Indians, beware indians