Amazon 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:

• 
  Ed Galbraith (@egalbraith_) reported 1 minute ago

  @Hannah98banana2 @AndyRileyish @amazon Never had that issue personally. What kind of third-rate companies you been dealing with, babe? 🤭

• 
  #MsRobTheEducator, M.A.Ed.⭐ (@BethaniPhoenix7) reported 3 minutes ago

  @orleansway Send me to Amazon to bless my school and fix everything that needs to be repaired

• 
  Anil (@OrkAk18) reported 3 minutes ago

  @encoword Same problem, Amazon delivery available, scamkart nit

• 
  Joshua Burgin (@joshuaseattle) reported 4 minutes ago

  @GergelyOrosz It always made me laugh at Amazon that the in-house custom tool we had was called… pager duty. A big part of it was to avoid circular dependencies (can’t page on AWS being down when you run on same AWS).

• 
  RAVI P (@ravi0706) reported 8 minutes ago

  @SudarshanEMA This is the problem with some Indians. They order pepsi,cola through Amazon travelling in Uber talking businesses of Adani, Ambani business praising Texla car in X platform.

• 
  PCM (@ChrisFi65328659) reported 12 minutes ago

  @amazon I purchased a Tucch iPhone 14 case The first one was faulty they replaced it now the 2nd one exactly the same faulty bug they don’t respond to me ? It’s supposed to be guaranteed. The quality is now poor I had one on my old iPhone 7 and no problems

• 
  Hasan Sarvaiya (@Hasandott) reported 17 minutes ago

  @AmazonHelp The issue is already escalated yesterday if u check my records.. After escalation of I can deliver the phone by tomorrow or by Sunday with open box delivery then I m happy to take it.. That would be appreciated or else I don't believe anything gonna happen

• 
  Tatted (@TattedWorks) reported 21 minutes ago

  The ban lasted nineteen days and protected nothing. What it installed is permanent. Fable 5 went dark June 12 under export controls. Back July 1. Then Anthropic tested the exploit that got it banned. Opus 4.8 reproduced it. So did GPT 5.5. So did Kimi K2.7. The capability the government moved to contain already runs in models anyone can use. So the outage guarded nothing. But to come back, Anthropic agreed to a jailbreak scoring standard it authored with Amazon, Microsoft, and Google. On August 1 the White House is expected to ask every frontier lab to adopt it. A company the government still lists as a supply chain risk just helped write the rule the whole field runs on. The ban was temporary. The pen is permanent. Tell me I'm wrong.

• 
  Hanan (@HannyBmt) reported 22 minutes ago

  I didn’t want to make this tweet but I’m absolutely disgusted by Amazon’s support team. My account got banned due to a return that was supposed to to collect by THEM and the driver came whilst I wasn’t present but marked it as collected. So falsely saying that something was collected make Amazon seem as I’m doing fraud. I appealed and they say that I have multiple account when’s it my only one then I had a chat on the phone with customer line and got promised within 24 hours my account would be restored because it is NOT my fault. Here I am 24 hours later getting told it won’t get reopened. Absolutely horrendous service no caring about the customer and I even had 2 big orders recently placed which I now cannot return if I have issues. I will be making sure this review gets everywhere and contact my bank for a chargeback. Worst experience ever. @amazon @AmazonHelp

• 
  SonAntu (@Madz_MG) reported 27 minutes ago

  @Manclad82 @ZombiesLvBacon For sure. And you're relying on the sales. Over time physical games go down in price permanently but on the PS store, games will still be £60-£70 for 10 year old games but be £30 on amazon.

• 
  GUL (@gulVasikova) reported 30 minutes ago

  $SPY Many investors will look at this week and conclude that the AI trade is over. I don’t see it that way. I think what we’re witnessing is something much healthier—a market rotation rather than the end of a long-term trend. For nearly two years, money poured into the same group of stocks. AI infrastructure, semiconductors, memory and data-center companies became the market’s biggest winners. Eventually, success creates its own problem. When everyone owns the same stocks, there’s simply less new money left to push prices higher. Even great companies can experience sharp pullbacks as investors lock in profits and rotate into sectors that have been left behind. That’s exactly what this week looked like. Memory stocks like Micron and SanDisk sold off sharply. AI infrastructure names such as CoreWeave and Nebius also came under pressure. Even companies with strong long-term fundamentals weren’t spared. Does that mean AI demand is disappearing? I don’t think so. Building AI infrastructure isn’t a one-year investment cycle. It’s more like building the internet in the late 1990s or electrifying cities a century ago. These transformations take years, sometimes decades. The demand for computing power, networking, memory and data centers doesn’t suddenly disappear because investors decide to rotate their portfolios for a few weeks. Instead, money simply looks for the next area of opportunity. This week, that money flowed into financials, regional banks, biotech and communication services. Interestingly, many of these sectors still trade at much lower valuations than the companies that have dominated headlines over the past two years. Think of it like a marathon. The leader doesn’t sprint at full speed for all 42 kilometers. Sometimes the front runner slows down to recover while others catch up. The race continues, but leadership broadens. That’s what healthy bull markets often look like. Another sign that caught my attention wasn’t the weakness in AI stocks. It was the strength beneath the surface. Equal-weight indices continued outperforming the traditional market-cap-weighted S&P 500. That tells me investors aren’t leaving the market altogether. They’re simply finding opportunities outside the handful of mega-cap names that have carried the market for so long. To me, that’s actually constructive. A bull market supported by hundreds of companies is usually healthier than one driven by only a few. Of course, AI stocks could remain volatile. Crowded trades often unwind further than fundamentals justify. That doesn’t necessarily mean the businesses have become weaker. Sometimes expectations simply got ahead of reality. Long-term investors should remember that price and value aren’t always the same thing. Great companies don’t rise in a straight line. Nvidia, Amazon, Apple and Microsoft have all experienced multiple corrections of 20% to 50% during their long-term journeys. Those pullbacks didn’t change their businesses. They simply tested investors’ patience. This week’s rotation reminds me of one important lesson: Markets constantly rotate. Innovation doesn’t. The companies building the infrastructure for AI may experience periods of volatility, but the long-term trend of AI adoption, cloud computing and digital infrastructure continues to move forward. That’s why I think the more important question isn’t “Which sector won this week?” It’s “Which companies will be more valuable five or ten years from now?” For long-term investors, that question matters far more than any single week’s rotation.

• 
  Vikas Vij (@TheClubJunto) reported 30 minutes ago

  Indian IT Alert: Microsoft’s Direct Entry Into AI Services (1) Creating world’s largest AI delivery firm; starts deployment of 6,000 AI engineers at client sites (2) AI giants are desperate for revenue (3) Same Strategy: Amazon, Google, OpenAI, Anthropic Cutting Out the Middleman a. On July 2, 2026, Microsoft announced the launch of “Microsoft Frontier Company,” which will be its “new business focused on delivering Frontier Transformation through AI for customers worldwide.” b. Microsoft said: “It will be the industry’s largest outcome-driven engineering organization, embedding 6,000 Forward-Deployed Engineers (FDEs) at customers to co-design, co-innovate, deploy, and continuously improve AI systems at scale.” c. Microsoft seems to be betting its future on it. Satya Nadella tweeted: “The future of the firm is a learning loop in which human capital and token capital compound. With our new Frontier Co., our ambition is to help every enterprise build its own AI capability.” d. Rajan Anandan (Sequoia) commented on Satya’s tweet: “Incredible goal to hire 6,000 FDEs. There are 7,000 FDEs globally. Microsoft by itself will double this number!” Anandan called out to the engineer community: “There’s never been a better time to be an FDE.” Timeline: The Ground Is Shifting April 22: Google Cloud announces $750 million fund to support Google’s Forward Deployed Engineers (FDEs) to deploy agentic AI at customer sites. May 4: Anthropic announces initial $1.5 billion JV with Blackstone & Goldman Sachs to embed FDEs inside enterprise customers. (Indian Express headline on May 6: "Anthropic, OpenAI in Direct Competition with Indian IT") May 11: OpenAI launches “OpenAI Deployment Company” with $4 billion of initial investment backed by TPG, Advent, Bain, Brookfield “to embed FDEs into organizations and work with their in-house frontline teams to solve complex problems.” June 24: Vishal Sikka, backed by Mayfield and Saudi Aramco launches “Hang Ten Systems” which will use FDEs to “help enterprises adopt and scale AI technologies.” Already bagged global clients like Siemens Energy & Fresenius. June 30: Amazon Web Services announces a new division employing AI FDEs who embed with customers to help them adopt AI software. Initial investment: $1 billion from Amazon’s own balance sheet. July 2: Microsoft announces the launch of ‘Microsoft Frontier Co.” with initial investment $2.5 billion and deploying 6,000 FDEs directly inside enterprise clients, billing on outcomes instead of traditional hours-based billing. Who Are FDEs? a. The first part of the AI race was building the models (LLMs). Once the models matured, these companies realized “model superiority” is not really a competitive differentiator for enterprise AI revenue. Last-mile deployment is. b. Client feedback and studies (the famous MIT study) of over 300 enterprise AI deployments showed there was almost negligible P&L impact. The problem was not the model, but the implementation. c. Complex enterprise software fails not because of the code but because of the last mile. The data is messy. The legacy systems don’t connect. The workflows were never designed for AI. Compliance and security requirements are huge. d. Forward Deployed Engineers (FDEs) are AI-native experts trained to solve last mile implementation. Unlike legacy IT service engineers who wait for client instructions, FDEs take ownership of complex problems. They think, identify, solve, and improve “without being told what to do.” e. AI giants seem to have all reached the same conclusion simultaneously: Build and deploy own AI-native FDE armies rather than letting IT systems integrators (like Accenture, TCS or Infosys) own client relationships (using rented AI models.) IT’s Disintermediation Risk a. “We are cheaper than onshore” argument is gone. Cost-effective Indian IT engineers are no longer in great demand. Now you need FDEs, who can coordinate swarms of AI agents to deliver outcomes in days or weeks instead of months or years. b. Client relationships (which IT companies built over decades) are being seized. Microsoft is embedding 6,000 FDEs directly inside enterprise clients. Over time, nothing stops Microsoft from taking this number from 6,000 to 60,000. c. An FDE from an AI giant has something no TCS or Infosys engineer will ever have: Direct access to the AI product roadmap. In a May 28 article, Forbes wrote: “An FDE from an AI company can route a customer request straight into the product in a way a third-party engineer cannot.” d. Targeting Indian IT, Forbes said: “The Indian system integrators face the sharpest squeeze. Infosys, TCS, Wipro, and HCLTech compete on cost-effective delivery of engineering talent at scale, while lab-owned firms are positioning on proximity to the AI model and direct access to the roadmap.” e. Forbes concludes: “Clients negotiating new AI engagements (orders) should ask whether the deployment team has access to the model owner who controls architecture and data integration?" "What happens if the underlying model is phased out or re-priced? AI companies are building moats out of implementation labor (by embedding their own engineers inside customer organizations.)” Endquote “How did you go bankrupt?” Bill asked. “Two ways,” Mike said. “Gradually, then suddenly.” – Ernest Hemingway (“The Sun Also Rises,” 1926) @arabicatrader

• 
  Nana 🌈 (@matsmom) reported 32 minutes ago

  @AndyRileyish @amazon This is a constant problem with Amazon drivers in my neighborhood. For a while I’d chase them down to return them. Now I keep the clean ones and toss the others

• 
  bobby thompson (@Cantwithbs) reported 35 minutes ago

  @Beboeieio @iam_biglad1 Ive thought about that statement for yrs. Why does a doctor make more that the plumber who comes to his house to wallow in that doctors **** to fix his toilet? People like getting amazon on the same day. Whos important again? Idk. Kinda crazy when ya get down to it

• 
  thrill (@thrillhouse01) reported 38 minutes ago

  @Commonconcrete @Rafa_Mangual buying a 5 dollar widget on amazon is not really the issue. amazon not paying their workers a livable wage certainly is, in terms of affordability its housing, healthcare, education, childcare. all have wildly outpaced inflation and wage growth.