Amazon Outage Map
The map below depicts the most recent cities worldwide where Amazon users have reported problems and outages. If you are having an issue with Amazon, make sure to submit a report below
The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.
Amazon users affected:
Amazon (Amazon.com) is the world’s largest online retailer and a prominent cloud services provider. Originally a book seller but has expanded to sell a wide variety of consumer goods and digital media as well as its own electronic devices.
Most Affected Locations
Outage reports and issues in the past 15 days originated from:
| Location | Reports |
|---|---|
| Oak Lawn, IL | 1 |
| Castelsarrasin, Occitanie | 1 |
| Salzburg, Salzburg | 1 |
| Fort Smith, AR | 1 |
| Los Angeles, CA | 6 |
| Chicago, IL | 5 |
| Paris, Île-de-France | 18 |
| Fléron, Wallonia | 1 |
| Melbourne, VIC | 1 |
| Township of Evan, KS | 11 |
| Lillers, Hauts-de-France | 1 |
| Ciudad Jardín, MEX | 1 |
| Southampton, England | 1 |
| Valencia, PA | 1 |
| Les Herbiers, Pays de la Loire | 1 |
| Coacalco, MEX | 2 |
| Rouyn-Noranda, QC | 1 |
| Atlanta, GA | 5 |
| Sydney, NSW | 1 |
| Hyannis, MA | 1 |
| Lyon, Auvergne-Rhône-Alpes | 1 |
| A Estrada, Galicia | 1 |
| Morlaix, Brittany | 1 |
| Mumbai, MH | 1 |
| Iztapalapa, CDMX | 1 |
| Charlotte, NC | 2 |
| Annecy, Auvergne-Rhône-Alpes | 1 |
| Santiago de Querétaro, QUE | 2 |
| Kingston upon Hull, England | 1 |
| Pensacola, FL | 1 |
Community Discussion
Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.
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Amazon Issues Reports
Latest outage, problems and issue reports in social media:
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🗣️🗣️🗣️🗣️ (@PTOWNVA757) reported@DAGToddBlanche hey sir the Amazon in Chesapeake, Virginia has foreigners, driving big rigs that can’t speak English.1 recently broke down on the exit ramp of the interstate and had me blocked for an hour.When the troopers showed up another guy came from Amazon to speak for him
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carl (@usedtobeRoss11) reported@sophaller Put your phone down and stop using Amazon Netflix Hulu Uber internet email etc
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Archana Keshri (@archanakeshri05) reported@JioCare @amazon It's been 3 days, the recharge is still not credited, no refund has been processed, and customer care is not responding. Please resolve this issue immediately or initiate the refund.
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Chintan Ganatra (@chintanganatra) reported@AmazonHelp I don't want this type of loot, if there will be some issue, 10 days replacement policy is aready there. Then why this open box delivery charges? I don't want this open box delivery. Previously when i purchase same product there were no such loot charges
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Anubandhan Pattnaik (@anuabc) reported@AmazonHelp Link not working
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NITISH SAINI (@nitishs007) reported@AmazonHelp This is link to your CS page on the app. I have already raised issue multiple times there over the last 3 days and still issue has not been resolved. Anything else I can expect here ?
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Con (@__Con_) reportedPeople are relating the AI bubble to the internet bubble. But they were 2 different events, under totally different circumstances. Here's why I think the "AI bubble" isn't actually a bubble: ---------------------------------------------------------- 1) Profitability and who is actually spending the money In 1999-2000, much of the frenzy was venture backed startups with $0 revenue, burning cash on ads and "eyeballs," or so someone can find their product. But today, that is totally different. The heavy lifting is done by hyperscalers: $MSFT (Microsoft), $AMZN (Amazon) $GOOGL (Alphabet) $META, and $ORCL Oracle). These companies have massive balance sheets, strong cash flows, and are already profitable in their core businesses. Their combined AI-related capex guidance for 2026 is in the $600-750B+ range (some estimates higher), with 75% of it being AI-focused. This isn't the VC speculation of the past. Now, we got trillion dollar companies funding data centers, GPUs, power, and networking because they see direct revenue (Azure/OpenAI, Google Cloud AI, AWS AI services), and cost-saving/productivity upside. $NVDA itself has data center revenue exploding with very high gross margins (75%). This is different from Pets(.com) or the average internet bubble stock with an infinite P/E and no product market fit. ---------------------------------------------------------- 2) Monetization is faster and more direct The internet took time to build broadband, e-commerce infrastructure, and user habits. All of these things were foreign, and nothing of its kind was here before us. But now, AI tools (coding assistants, enterprise search/RAG, analytics, content generation, automation) are being integrated into workflows, with measurable revenue already appearing in cloud segments. I hate when people say it's just all a "future promise." But it's not. You can tell just by looking at the companies who benefit off of this AI buildout: the AI beneficiaries. These are companies such as $ZETA, $SOFI, $TEAM, etc., who benefit off of AI and which their earnings look like this: Gross profit -> Increasing Net income -> Increasing Due to how AI benefits their business. So, the buildout is happening because companies are seeing (and strongly expect) ROI in the form of higher cloud revenues and internal efficiencies. This doesn't mean every projection will be met on time ofc, but it's a stronger foundation than pure narrative like the past. We've already seen progress. ---------------------------------------------------------- 3. Infrastructure nature and bottlenecks The Dot-com buildout included a lot of fiber overbuild (dark fiber glut). AI requires physical, power hungry, supply constrained assets (advanced GPUs, data centers, electricity, cooling, networking like co-packaged optics). Which are used for lots of things (not just for the AI buildout alone by the way). This creates real pricing power for leaders ( such as $NVDA, $TSM, select enablers) and sustained spending pressure. Hyperscale's are in this race because falling behind on AI capabilities has competitive costs. The capex intensity is high (some ratios cited around 20-30%+ of revenue for these firms), and there is legitimate debate about whether current AI cloud revenue ($50-60B range in recent periods) justifies the spend in the near term. But the scale is backed by actual earnings power, unlike much of the late 1990s. ---------------------------------------------------------- 4. Valuations context (not identical to 2000) Nasdaq-100 forward P/E hit extremes (~60x) in 2000. Right now, the current S&P 500 forward multiples are elevated (23x, the most stretched since then), and names like $NVDA trade at high multiples, but nothing close to those in the past. ---------------------------------------------------------- 5. Winners and losers dynamic Post-dot-com, the survivors (Amazon, Microsoft, Google, Apple) became dominant for 20+ years. Many others went to zero. The same will likely happen in AI: the real infrastructure compounders with moats and execution will consolidate power and deliver long-term returns. The smaller, lesser known names and pure narrative plays are the ones most at risk of 70%+ drawdowns. So saying all AI stocks will go down is obviously a stretch. Although, like we see everywhere, eventually the money will consolidate into the winners. ---------------------------------------------------------- So yes, he is right in some respects, such as demand != stock price. This is evident. Stocks aren't priced on whether companies will grow, necessarily, it's also priced on how much growth is already expected. If investors already expect perfection, then any bit of inconvenience, and we see stocks slide lower. This is what most people think about $AAOI here. But there are definitely those that are still relatively undervalued, especially compared to the companies from the internet bubble. Now, I'm not fully bullish just yet. I do think a short term downturn is due here. Of course, after a 2000%+ gain in a few months. But, I don't think we're over for good. My next post will be about the best companies to buy, and the price targets you should get in at. Until next time...
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KAMAL JEET (@RAOKAMALJEET) reported@ICICIBank_Care Applied for amazon pay icici credit card but on vkyc they say single name issue & our agent will call you but no call received. Very bad experience from ICICI Bank
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Cherry 🍒 SKZ MISSER (@_doolsetcherry) reported@Jisungwishes I'm in Illinois by the WI border. I'm doing Amazon delivery in WI for the summer and it's so bad that our building shut down for the day
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The ReFrame (@The_ReFrame_) reportedThree Mile Island is being switched back on — to feed the AI boom. Not the reactor that melted down in 1979; that one is sealed for good. Its undamaged twin next door, shut in 2019, is being restarted under a 20-year deal to power Microsoft's data centres. The site of America's worst nuclear accident is coming back to life because artificial intelligence is that hungry for clean, around-the-clock power. That accident is what makes this so improbable. On 28 March 1979, a valve stuck open, the core of Unit 2 partially melted, and the nation braced five days for a catastrophe that never came — the containment held. The average public dose was smaller than a chest X-ray, and the meltdown is credited with no attributable deaths. But the fear did what the reactor couldn't: 52 planned plants cancelled, and not one new US reactor permit for the next 33 years. We nearly frightened ourselves out of the largest source of carbon-free power we have — nuclear still supplies nearly half of it. Now the arithmetic is winning. AI's electricity demand, on track for a tenth of the US grid, has Microsoft, Amazon, Google and Meta signing nuclear deals faster than utilities can build — treating reactors as infrastructure, not aspiration. The clearest sign of the turn is a switch being flipped back on at Three Mile Island. This isn't amnesia — it's arithmetic. The generation that stopped building had real reasons, cost and cheap gas among them, but it let a fear the record never justified harden into a wall. Ours is reading the same record and choosing differently — not recklessly, but honestly. It took the hungriest machine we've ever built to make us do the math. #Nuclear #AI #CleanEnergy
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Kalpesh✌✌ (@thekalpeshjain) reportedHad an old business account with Amazon. Now that business is growing again wanted to login to that @amazonIN account after a year, but unable to do so as I don't have access to mobile number but only to email. What is the solution @amazonIN ? Your CCE says no option available!
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Karna Yokshith (@KarnaYokshith) reported@AmazonHelp I received a mismatched product for my order and immediately requested a return, the return has still not been initiated, and the delivery associate did not pick up the item. This has been disappointing. Please look into this issue and arrange the return and refund.
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Muneeb (@karvakkarela) reported"She got shows because she spoke against Haggu" is the funniest joke of the day.. Kashish literally has producers begging her on their knees—declined Lock Upp, turned down an Amazon web and rejected Alliance 3 times. This is call number 4. • #KashishKapoor •
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AJEET KUMAR (@AJEETKU85025940) reported@amazonIN Dear @AmazonHelp , Order #408-4395539-5009917 has been marked as delivered, but I have not received the package. Please investigate this issue and arrange either the actual delivery or an immediate resolution. #Amazon #CustomerSupport
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Melvinvino (@Vinoaltus) reportedHey @AmazonHelp @amazonIN , your app layout is broken. My order is falsely marked "Delivered" but I haven't received it. Every time I try to open a chat or call an associate to report it, the app just loops me back to the tracking page with no way out. Please DM a direct link.