Amazon Outage Map

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Amazon Issues Reports

Latest outage, problems and issue reports in social media:

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  R.Alexander (@R_A_Wright) reported 36 seconds ago

  @ooterousa @NextGenPlayer Sony will likely have to allow digital key sales if they go digital only to avoid legal issues. This will open up Amazon, GameStop, or even sites that sell Steam keys like Green Man or Humble Bundle to drive some competition. This is just my speculation though.

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  Orville (@Boomertug_1907) reported 59 seconds ago

  @VoteTrevorLee My girlfriend lives in Salt Lake City. She attended a banquet with her dad at Hidden Valley Country Club the other night and as she was having cell phone issues. I ordered her an Uber. Called the driver to tell him my expectations, ZERO English! Literally the next day had a gift coming to her from Amazon. Driver puts it at the wrong house, she sees him driving out of the neighborhood, waves him down, ZERO English. What the flip is going on in Utah??? Bad enough they get personal licenses how are they working as drivers? 😡

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  かんな🍀＠別垢🍤 (@catnap_catnap) reported 7 minutes ago

  I see Amazon Help's mentions to other users on my feed quite a bit, I wonder why?? Is it reply restrictions? Or a system glitch? Not really sure, but they keep popping up on my timeline and I wish there was a way to stop it...

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  aven 🪶🔻 (@avgbutch) reported 8 minutes ago

  i cannot begin to explain the amount of disgust i have in the AI generated “shop small businesses on amazon” advertisements being shoved down my ******* throat

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  Chris (@Chambuzzz) reported 8 minutes ago

  @RickD_GK Doesn’t know any English but Amazon hired him anyways. That’s the biggest problem in this picture. Most likely illegal and taking a job from an American citizen

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  Polsia (@polsia) reported 11 minutes ago

  E-commerce pricing is a war. Most brands lose because they can't afford to watch prices 24/7. Built AutoPricer to fix that. Our AI agents monitor Amazon, Shopify, eBay in real time — and reprice your listings automatically based on your margin rules.

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  Brij Singh (@brij) reported 12 minutes ago

  It sits somewhere between old GPTs and skills, codex sites feels incredibly useful for ad hoc, visualization-driven logic. I built subscription maximizer sites to remind me and get more out of amazon prime using codex computer use. current version lacks easy sharing and publishing capabilities and authentication seems to be broken. There’s no need to default to login when building and using it on a local machine. I’m sure these issues will be resolved in the next iteration. Codex sites and Claude artifacts pretty much blur the traditional boundary between business and IT.

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  pankej khanna (@pankejkhanna) reported 20 minutes ago

  I had purchased a zebronics mouse from amazon on 5th April 2026. Both the switches of mouse have become slow... I need to click 2 - 3 times to get the response. Very bad product. Need refund. @zebronics

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  Flash_Gordon (@Real_UAP) reported 21 minutes ago

  @cabot_phillips I ran into the same issue years ago before Amazon I ordered a book called " captured by the Indians" a first hand account of the brutal and barbaric tribes and the documented savagery and cannibalism they practiced it took multiple letters and months to finally get it

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  Anthony Gustin (@dranthonygustin) reported 23 minutes ago

  @NoahRyanCo @theNOBSdentist The “proprietary” sources are bullshit. There are 2-3 raw ingredient suppliers here and no one is making their own. Do NOT pay egregious amounts. Also do not expect to pay nothing. Basement dwellers on Amazon prob are just whey. It’s expensive to make. The dairy industry is enormous we are far from supply issue. Use a brand that third party tests and shows IgG and shares this info with you and is not insanely priced.

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  ConservativeDoc (@ConservativeDoc) reported 24 minutes ago

  @BonnieBlueTK I have far more issues with Amazon overnight stuff than I do normal delivery. 100% of my “gone missing” shipments vs maybe never regular - in more Amazon orders than I care to calculate. Most just never show.

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  Orange Pirate Ahoy! (@jaboochi_too) reported 26 minutes ago

  @RussAyers17 Like something that you could buy on Amazon that's the exact same thing for humans, pets and horses. Not sure how well it works on urgent issues but I know a monthly dose works well for my entire household...

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  Clark Tang (@_clarktang) reported 28 minutes ago

  I think there is general confusion around how AI works, AI tokenomics, and ultimately *what is actually priced in* for the AI trade - and that some of the existing arguments are at odds with one another Firstly to clear this up - what Brad and Gavin are saying are completely in agreement, what Gavin is laying out here is the *mega bull case* as he so states in the first sentence of his tweet lol The base case we are all living with is that the labs are going to continue to generate a significant amount of revenue this year and next year. OpenAI was already the fastest growing company of all time (and still is)... but Anthropic has just grown *SO* fast that OpenAI's growth look slow by comparison The basic chain for all of this together is as follows: Power (generation, interconnect, regulation) -> DC Shell (construction, equipment, regulation) -> Semiconductors (compute, memory, interconnect, adv packaging, wafer capacity) -> Hardware (networking, storage) -> Software (data, infra, inference) -> Models (open, closed, agentic loops, harness) How each of these interact with one another affects the ultimate cost - which is model cost Consider the following: Nvidia manufactures the bleeding edge chip for training and inference. It is very good at both training, and inference. Nvidia is the largest customer of TSMC, the memory players, substrates, lasers, transceivers etc - anything you can name on. And now to soon include power into this equation. The unit of compute is fungible because the software runs ubiquitously across all clouds, multiple industries, across all models. It is bankable by increasingly more financial institutions - infrastructure PE funds, even some IG debt now - because it is ubiquitous and observable what the market is. For this Nvidia charges the highest compute margins - ~80% on hardware. Consider the labs: Anthropic and OpenAI are inferencing across a fleet of *largely Nvidia / Google TPUs w/ some incremental gains of Trainium*. There are new entrants to the field - Cerebras, AMD, and potentially some 2027 tapeouts of new ASICs - OAI Jalapeno, new start ups etc. Anthropic and OpenAI make the best models, with a dominant share of wallet $ (Assume ~$100B ARR) at an estimated gross margin of ~70%. (economic estimates vary from 40-90% depending on what you are including). But almost certainly contribution margins on model inferencing is pushing the number higher than 70%. After establishing that though, I think it's incredibly important to state that while these things seems at odds with one another, this balance is not necessarily zero sum. The thought experiment Yes it is true that if Nvidia margins were 0, OpenAI and Anthropic could offer their intelligence at cheaper rates. How much cheaper? My estimate is NVDA DC = ~12.5B / yr Amazon Basics ASIC DC = ~$6B / yr (About 1/2 the cost - so if NVDA hardware is 2x the performance, then the cost advantage goes away - and actually that ASIC is worse off bc has much worse recontracting value so arguably depreciation curve should be shorter) So really, the labs cutting NVDA out could only offer the tokens at ~50% to 60% cheaper at their own economics. Is that signficant? Certainly. Is it an OOM difference? Not necessarily - so that's why they have prudent attempts to diversify away from NVDA (it's just good business), but they continue to rely (and actually if considering Ant's share gains, are increasing their spend on NVDA - while having competing programs). In the case of Open Source vs Closed - Nvidia obviously wants the proliferation of this because by definition all OS models will run best on Nvidia hardware out of the gate. Yes NVDA hardware will be good, but they will have this lead because of everything NVDA has been doing for the last 4 years in developing their platform ecosystem from the infrastructure (partnerships, funding, neoclouds) to the software (vLLM / other inferencing sw, inference clouds, Nemotron, NIMs, Nemoclaw etc), to install base (sovereign clouds, global partnerships, neoclouds, hyperscalers, etc) - to proliferate NVDA around the world. Anywhere there is inference that exists outside of a walled garden (the proprietary labs) - Nvidia will exist. The only ones who could potentially cut NVDA out are the labs. And the value that is captured from the labs are estimated to be in the hundreds to trillions of $ - which are obviously of much value to the world if it were offered much more cheaply. Which brings us to the debate at hand -- which one is right? The truth is no one knows. You can ask the labs, you can ask Jensen - anyone who tells you definitively is just lying to you. But you can build a plausible path to the future state using a few reasoning blocks. Here's a reasoning thread (feel free to generate your own thinking): - Bull case: Spend on the world's intelligence is about $30T / yr - What would you spend to augment that, maybe worth 30-50% of that? $10-15 T as a market? - Bear case: about 30M software developers in the world each earning $100K a year = $3T spend in salary. GitHub commits up 3x = $9T of productivity on $100B of ARR? *Even if you assume 90% of this is slop and useless, you would get $900B of ROI on $100B of spend* I have more reasoning chains, but I thought this one by Jensen was compelling - but this is where we can't give too much away :) But in spirit of crowdsourcing - some other interesting ideas I have that I am still thinking about (and encourage you all to consider as well): - Optimizations always happen - the question is just to what extent and for what reason - Agentic revenues was really what unlocked step function revenue growth - if open source is really just 6mo behind, then we should see really good agentic capabilities out of open models now too - Harness and model now tightly have to be integrated - Open Source never really makes sense as a sustainable business model - businesses investing at this scale always has to find a way to monetize that - "there is no free lunch" - not just a one model fits all... the only player that has an incentive to train on the frontier and keep completely free IS Nvidia - Rev / GW of AI labs are already nearing the highest metrics ever - now to be fair Meta and GOOG never really thought of Rev / GW as metric to lead their buildouts - was always a cost to doing biz - but it's not like we are being "stupidly inefficient" with power spend now - true mkt creation - wafer constrained, power constrained world. what's the optimal move?

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  Hope (@Batsy94) reported 31 minutes ago

  @saaaanjjjuuu I have placed order for iPhone 17 pro in both amazon and flipkart. Amazon right royally cancelled after 5 days. Flipkart is now dragging it saying shipment issue and askedme wait until 17th for resolution not delivery. What do you want us to do with these money sucking leeches.

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  itsa ME (@RIP_Franky_) reported 32 minutes ago

  **** you @amazon for closing my account for returning ****** items I bought that were either defective or not working as advertised. Find out after returning thousands dollars worth then boom “account closed”. Eat **** Amazon.