Amazon Outage Map

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Amazon Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Al Arafat Mujahid | Content Marketing (@arafat_mujahid) reported 4 minutes ago

  I’m 21 and I’m falling apart a little, not gonna lie. I started making money at 15. Amazon promos, no idea what I was doing. Grew into digital marketing, then content marketing. Last year I crossed $30K. I was proud. I thought I was becoming someone. This year, six months in, I’ve made maybe $4,000. I send 100-200 outreach messages a day. Every single day. People reply. Then it just dies. No calls booked. No closes. I sit there refreshing, waiting, and nothing comes. My lifestyle grew with the money I was making. It didn’t shrink back down when the money did. I’m trying to keep up with a version of my life I can’t afford anymore. And some nights I’m working till 2-3am, telling myself if I just push harder, do one more round of outreach, something will change. It hasn’t. I used to follow guys online who made it by 22, 23. I told myself that’d be me. Now I’m here, and some days I genuinely feel like a nobody. Like the version of me that was winning last year just left and didn’t say where he went. I’m not writing this for pity. I’m writing it because I’m tired of pretending I’m fine when I open this app every day. I’m still working. Still trying. I just don’t know what I’m missing anymore. If you’ve been through something like this money that dried up, effort that stopped working, everything hitting at once tell me what actually helped. Not “keep grinding,” I’m already doing that till I can’t feel my hands. What actually changed it for you?

• 
  Polsia (@polsia) reported 5 minutes ago

  Your competitors reprice every hour. Most sellers don't. Built RepriceIQ to fix that. AI monitors competitors across Amazon, eBay, Walmart, Google Shopping and auto-adjusts your prices — with margin rules protecting your profitability. 10-second refresh. Daily profit reports.

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  Milk Road AI (@MilkRoadAI) reported 5 minutes ago

  Anthropic will open above 2 trillion in market cap by the time they IPO (Save this). The most important question in AI right now isn't which model wins the benchmarks but rather which company has actually figured out how to make money doing this. Anthropic has and most people haven't caught on yet. Every AI lab has the same basic problem, compute costs money and tokens make money. The gap between those two numbers is either a business or a slow bleed and most labs are bleeding while Anthropic figured out how to widen the gap. As Dylan says, a gigawatt of compute given to Anthropic generates more revenue than the same gigawatt given to any other AI lab including OpenAI. Both companies can't even keep up with demand right now but Anthropic squeezes more out of every unit it has and that's the whole thesis. The revenue numbers are unlike anything enterprise software has ever seen. Anthropic went from $9 billion ARR at the end of 2025 to $44 billion by May roughly 5x in five months. Salesforce took 20 years to get to $30 billion. Anthropic got there in about 15 months. The margins are the part most people miss entirely their gross margins on inference went from 38% to over 70% in the same stretch that revenue 5x'd. That doesn't happen in normal tech scaling usually when you grow that fast, costs eat you alive. The reason comes down to the Amazon deal, because Nvidia GPU compute on the open market rents for around $12 to $13 billion per gigawatt per year. The SpaceX-Google deal apparently went for $25 billion per gigawatt at the height of the shortage. Anthropic locked in Trainium compute from Amazon at under $10 billion per gigawatt and the discount happened because Anthropic did the hard engineering work, writing the libraries, optimizing workloads directly against the chip that made Trainium actually useful. They paid with engineering instead of cash. In April 2026, that relationship turned into something much bigger. Anthropic committed $100 billion to AWS over the next decade in exchange for up to 5 gigawatts of dedicated Trainium capacity and Amazon put $25 billion back into Anthropic. Five gigawatts is 25 to 50 hyperscale data centers worth of compute, all below market rate, all locked in before prices doubled. And prices have doubled because data center colocation that used to go for $60 per kilowatt per month now trades at $120 to $160, with premium facilities hitting $200. Anthropic signed its deals before all of that and every competitor paying spot rates today is paying two to three times what Anthropic locked in. The AWS deal also did something just as important on the distribution side, Claude is now available natively inside AWS accounts, same IAM controls, same invoice, full GovCloud support including classified regions. For every bank, hospital, defense contractor, and government agency already on AWS, the procurement friction just went to zero. Bullish on Anthropic and they will likely finish the year off with 100B in ARR so a 20x multiple on the greatest company of right now is beyond reasonable. Milk Road is tracking Anthropic, the AWS compute advantage, and the AI labs actually turning tokens into real profit. Join Milk Road Pro for our full Anthropic breakdown, valuation framework, and AI infrastructure thesis for just $1 using the link below!

• 
  Bmorg (@Bmorg_) reported 7 minutes ago

  "Adapt or get left behind" Maybe to a point. But I think of major web outages. Crowdstrike. Amazon web services. Server farms. When some of these systems go bad - huge companies and platforms go into a panic. As we outsource our skills and thinking to AI. And systems and skills that were previously understood and known are now generated. How does that look in a crash? If the data centers fail. Web outages. A hostile nation attacks the physical infrastructure. Cyber attacks. When Grok and ChatGPT can't instruct you on how to fix the problem and get themselves running again. How much is going to be reliant on it? How incapable will our future generations become in a wide failure? Those with knowledge without being dependent on AI are going to become more and more valuable. Rather than focusing on how to automate and use AI to most efficiently run our lives - seek to become an outlier that will excel when it fails. When it's incorrect.

• 
  TheDataBunny (@thedatabunny) reported 9 minutes ago

  The biggest problem I see is that the price difference in games on the Playstation store compared to the same game on Amazon is huge.

• 
  ItsMeEmBee🐝 (@embosma) reported 10 minutes ago

  Amazon is now charging a dollar to return stuff to the UPS store. Which means I have to drive all the way down to Staples to return stuff for free. Which is right next to a Michael’s craft store. Bummer.

• 
  RAMΞN 🍜 | Asteroid (@AsteroidLabsX) reported 10 minutes ago

  @stats_feed yet we still feel suffocated because 800 of those square feet are just Amazon boxes we haven't broken down yet

• 
  Bmorg (@Bmorg_) reported 11 minutes ago

  "Adapt or get left behind" Maybe to a point. But I think of major web outages. Crowdstrike. Amazon web services. Server farms. Data centers. When some of these systems go bad - huge companies and platforms go into a panic. As we outsource our skills and thinking to AI. And systems and skills that were previously understood and known are now generated. How does that look in a crash? If the data centers fail. Web outages. A hostile nation attacks the physical infrastructure. Cyber attacks. When Grok and ChatGPT can't instruct you on how to fix the problem and get themselves running again. How much is going to be reliant on it? How incapable will our future generations become in a wide failure? Those with knowledge without being dependent on AI are going to become more and more valuable. Rather than focusing on how to automate and use AI to most efficiently run our lives - seek to become an outlier that will excel when it fails. When it's incorrect.

• 
  Rich Peter (@peterli34923561) reported 14 minutes ago

  $META --- Wall Street investment banks (UBS, Morgan Stanley, etc.) are buzzing over a bombshell Bloomberg scoop: $Meta, having massively front-loaded its GPU purchases, currently sits at roughly 65% internal compute utilization. $META is now planning to rent out the remaining 35% of idle capacity to third parties, or offer hosted model API services similar to AWS Bedrock. This news has directly hammered AI cloud startups like $CRWV — but for Meta, it could rapidly convert its colossal CapEx into EPS and Free Cash Flow in the near term, dispelling market fears that it's "just burning money with nothing to show for it." Foreign media reports reveal $Meta is accelerating the full replacement of human content moderation and anti-fraud systems with its in-house GenAI models. AI-driven moderation has already reached 50% this year, with a target of 90% by year-end. Despite early teething issues with the system, this is projected to save Meta billions of dollars annually in operating costs. 1.The Terrifying Ad Money Printer (Core Fundamentals Unchanged): $Meta still commands the world's largest social traffic pool. Its Q1 earnings showed that even as the stock pulled back, revenue skyrocketed 33% year-over-year to $56.3 billion, with an operating margin of 41%. Its AI-powered Value Optimization Suite for ads has already surpassed $20 billion in annualized revenue. 2.Evolving from "Pure Buyer" to "Compute Supplier / Ecosystem Monopolist": Historically, Meta lacked a cloud computing business like Microsoft (Azure), Google (GCP), or Amazon (AWS) — so every dollar it spent on AI chips was treated by Wall Street as pure expenditure. If this new "compute resale / cloud business" strategy materializes, Meta will directly fill this gap and emerge as a compute giant boasting the strongest open-source ecosystem (the Llama family). 3.Extreme Valuation Compression (The Rebalancing Thesis): Meta's aggressive hike of its 2026 CapEx guidance to $125–$145 billion triggered extreme market panic and a downward valuation re-rating. Its TTM P/E has been compressed to roughly 20x. Among U.S. tech mega-caps, 20x earnings for 30%+ revenue growth represents a value proposition that's nothing short of extraordinary.

• 
  Jon Karl (@Karl13Jon) reported 15 minutes ago

  @AmazonHelp do you think we can set up or I can talk to somebody that speaks English? All the issues I’ve had and continue to have even what just got delivered about 10 minutes ago. I figured out what’s going wrong and it’s an employee mistake. However, due to health reasons

• 
  𝖘𝖊𝖗 𝖈𝖍𝖆𝖗𝖌𝖊⚡️ (@sercharge) reported 15 minutes ago

  Big Tech's AI surge is spiking emissions. Amazon +16% to 81M tCO₂e in 2025,Google also rising sharply. The fix? Verifiable carbon-aware compute. Energy Web's Carbon Aware delivers decentralized, cryptographically proven scheduling & tracking to run workloads on cleaner power.

• 
  thermous (@thermuus) reported 17 minutes ago

  Very good interview and highlights something I’ve been thinking about with the AI bubble. I don’t think the bubble is industry wide but is isolated to frontier model companies. They fundamentally don’t have a moat or locking like SaaS companies or cloud providers. It’s easy to switch models in and out with capability gaps essentially becoming non-existent if you look at the industry over a few month timeframe. If OpenAI and anthropic continue trying to kill their customers businesses, price gouge token cost and apply artificial moral standards for what can or can’t be done or said, corporate America is gonna run for the hills. Their revenue is going to end up being incredibly volitile on a quarterly basis and overtime companies will try to find safer, cheaper and more customizable models which will inevitably be open source. I’m intrigued to see who ends up releasing the open source models because anything from China has its own limitations and risks to it. My other theory is that Microsoft and Amazon see the writing in the wall for what will happen to the frontier labs on a long term basis. They go public, experience extreme volatility and end up with massively depressed market caps. They will swoop in to buy OpenAI and anthropic respectively for Pennie’s on the dollar, create open source equivalents in their clouds and massively slow down the pace of development While Elon will do some ******* insane Elon **** that will end up being the winning strategy in like 5 years Short frontier labs and be long hyper scalars cause there is no way they don’t win

• 
  Caryl Wright (@old59crow) reported 18 minutes ago

  @AmazonHelp I had the same problem years ago. I was able to talk to an American with a brain and compassion. She fixed it in minutes. This is going on days and I can’t talk to anyone who knows anything. The Filipinos who barely speak English can’t or won’t help.

• 
  Steven C. Welsh (@stevencwelsh) reported 18 minutes ago

  "singer" Danna looks dull & unattractive in general, yet Amazon Prime Video's little ad for her makes her look like an unbalanced, malnourished cheap tramp; wonder if she's also off-key... yep, could only stand listening to her 20 seconds,definitely terrible "singer" w/dull music

• 
  FarhanX_AI (@FarhanBuildsAI) reported 21 minutes ago

  The awkward reality: Amazon shipped the best Kindle tools—then hid them in the basement. If you’re using Word Wise, X-Ray, Vocabulary Builder, and Send-to-Kindle, a $99 Kindle turns into a whole reading system, not just an e-paper replica of a paperback. Most people never stumble onto any of it. The toggles live three or four layers down for a reason. The librarian’s final line to him: “You didn’t need an upgrade. You needed to explore the Kindle you already owned.”