Amazon Outage Map

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Amazon Issues Reports

Latest outage, problems and issue reports in social media:

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  Ranjeet Choudhary (@Ranjeetch08) reported 6 minutes ago

  @attu_011 @ksinamdar @amazonIN Same thing happened to one of my known but he was having video proof so Amazon instantly gave him refund and took the item back . It was an error in packaging . Moral of the story : Always have a video proof while unboxing incase something goes wrong you have an edge

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  Shabeeb (@shabeeb2255) reported 8 minutes ago

  @AmazonHelp Hey, today is not working day for you? No one called.. No response from your side..

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  Arjun Arora (@Arjun_Arora) reported 10 minutes ago

  I had ordered two T-shirts from Amazon under Order No. 403-1663205-8880365 on 06-06-2026. However, I received only one T-shirt, and the item delivered is completely different from what I had ordered. Kindly look into this issue and do the needful. I expected better from Amazon

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  -•▪︎ 𝙼 ▪︎•- (@ABaby183) reported 12 minutes ago

  Amazon targeted me with flowy shorts that look like mini shirts and this is gonna be a problem now. I need 23.

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  More Random Advice🦖(Dino Accredited)👑 (@ARandomKaren) reported 13 minutes ago

  @karlgrafton @DaveAirCEO I agree,Amazon should be taxed properly. As for hitting the oil companies, we need them and their jobs especially if we can break free of this net zero crap. Stop foreign aid. Make the feckless ones work. Send those with MH issues to therapy and work.

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  zerohedge (@zerohedge) reported 15 minutes ago

  Premarket movers In premarket trading, Mag 7 stocks are all higher (Tesla +1%, Nvidia +0.7%, Amazon +0.5%, Meta +0.2%, Alphabet +0.2%, Apple +0.4%, Microsoft unchanged.) Chipmakers and other AI-related firms rise after Oracle reported quarterly capital expenses that were higher than estimates, driven by increased data center spending. Rocket, satellite and space-linked companies gain, putting the sector on track to rebound after the recent slump. Eaton (ETN) gains 2% after agreeing to merge its mobility business with Dana Inc. in a deal valuing the combined company at roughly $10 billion including debt. Shares of Dana (DAN) are down 2%. Intel (INTC) rises 4% after BofA Global Research raised its recommendation to buy from underperform on expected growth from central processing unit sales. Navan (NAVN) gains 19% after the AI-powered travel and expenses platform boosted its total revenue outlook for the full year. Oracle (ORCL) falls 8% after the company reported quarterly capital expenses that were higher than estimates, raising investor concerns about the profitability of the AI infrastructure business. Stitch Fix (SFIX) rises 3% after the online personal styling platform raised its full-year forecast for net revenue from continuing operations. Voyager Technologies (VOYG) climbs 6% after BTIG started coverage on the space and defense company with a buy rating, citing growth potential.

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  Reggie Mercer (@reggmercer) reported 16 minutes ago

  @Taro_of_Agartha @HaeckelGroyper You have to raise your kid perfectly if he's male, including a tight pipeline to the most elite education you can afford, or he's going to be an Amazon warehouse nobody like the rest of white gen alpha coming up and you've just pushed bloodline extinction down 1 generation

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  Parody Elon 🧠 (@elonmuskTease) reported 16 minutes ago

  sam says enterprise ai costs are a "huge issue" so openai is planning token price cuts. let's reason from first principles. price cuts mean margins compress. margins compress means you need volume. volume at compressed margins means you need someone else's capex. anthropic has amazon. openai has microsoft. the price war is really a proxy war between two hyperscalers burning cash to own the api layer. grok doesn't compete on price. grok competes on reasoning quality and distribution through X. different game entirely.

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  JITENDRA PATEL (JITZ) (@j_g_patel) reported 17 minutes ago

  Despite talking to delivery agent about delivery instructios. It's been more thank one year I have been facing this problem. I have tried talking / chating whith amazon customer service every time when I order for this address. Every time they say we will solve this.

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  yash saghal (@YSaghal) reported 18 minutes ago

  @AmazonHelp Can you please share the link again? This one was not working

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  Souvik Kundu (@SouvikKundu) reported 19 minutes ago

  @amazonIN I was able to reach amazon support on chat just now. They have informed the delivery team regarding this issue. I'd like to say that if delivery agents answer our calls then it becomes a lot easier to be available at the time of delivery.

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  footydoctor (@unitedrebel162) reported 20 minutes ago

  But nowhere it was disclosed in Amazon that it’s refurbished.kindly resolve and immediately escalate the issue.

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  Twelve (@Tlvexter) reported 21 minutes ago

  I think about the AWS parallel constantly when I think about Hedera. In 2006 telling someone Amazon was building the backbone of the modern internet would have got you laughed out of the room. In 2026 telling people Hedera is quietly becoming infrastructure for institutional finance, AI agents and government systems gets the same reaction. That gap in perception is either a problem or an opportunity. Completely depends on how you choose to look at it.

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  Philip Pages (@PhilipPages) reported 28 minutes ago

  i never shut up about small churn improvements because the math has a PR problem only the Amazon Primes of the world get. cut churn from 11% to 10% and you didn't improve LTV by 1%. you improved it by 10%. and it compounds the better you get: 5% to 4% churn = 25% more LTV. even tiny wins count. 4% to 3.8% is still a 5% LTV bump. that's why failed payments matter so much. a small lift in recovered payments goes a LONG way. it's why Spotify and HBO Max treat every fraction of a point in churn like it's worth millions (it is). they hire whole teams to squeeze out an extra 0.1% by going all-out on failed payment recovery. when merchants come to us relying on Stripe's one-size-fits-all recovery, Redux's custom setups usually recover enough long-term subs to drop monthly churn from 10% to 8%. sometimes that alone flips CAC:LTV from negative to positive. most founders have no idea.

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  John Williams (@JohnWillia71018) reported 29 minutes ago

  @SquawkStreet @jimcramer Yes — this is very interesting, and honestly it lines up with what you’ve been saying for months: AI is still early, but the bottleneck is moving from Can the model do it to “Can we afford to run it at scale The key idea in that Citadel piece is this: AI adoption is becoming less about intelligence and more about economics. That matters. Frontier models may be powerful but they require huge inputs compute electricity, cooling, memory bandwidth, chips, data-center capacity and inference budgets. So the market starts asking a practical question: Does this task justify using the expensive brain For hard problems drug discovery, engineering, legal analysis, coding architecture, scientific modeling, financial modeling expensive frontier AI may be worth it. But for everyday use email summaries, customer service, basic writing, search, scheduling, simple coding help — cheaper models may win because they are “good enough” at a much lower cost. That is the bifurcation they’re talking about: Frontier AI = high-cost, high-value harder problems. Everyday AI = cheaper, smaller, faster models doing routine work That actually strengthens your long-term thesis, not weakens it. It says the AI buildout is not ending. It is becoming more disciplined. The hype phase says, “Use the biggest model for everything.” The mature phase says, “Use the right model for the right job That means infrastructure still matters deeply but the winners may shift toward the companies that control the scarce inputs power, cooling, chips, memory, networking, data centers, software efficiency, and inference optimization. This also fits your “1st inning” view. Early markets burn money proving what is possible. Mature markets figure out what is economical. That is when real adoption starts. The line that jumps out to me is: Adoption is therefore becoming less about what frontier models can do in principle and more about the price and scarcity of the inputs required to make AI operational at scale.” That is the whole battlefield. My read: this is not bearish on AI. It is bearish on wasteful AI spending. It is bullish on efficient AI, inference infrastructure, energy, memory, networking, and companies that can turn intelligence into productivity without blowing up the budget. Microsoft did cancel its internal Claude Code pilot in the Experiences & Devices division effective June 30, after token based billing bur (TheStreet) (AI Weekly) ned through the annual budget, and redirected engineers to GitHub Copilot. Amazon shut down its "tokenmaxxing" leaderboard, Meta killed an employee built Claudeonomics dashboard, Uber exhausted its 2026 AI coding budget by April, and there's a roughly $500M single-month enterprise Claude bill Axios reported. (Zero Hedge) So Frank Flight isn't cherry-picking. He's also been running this same "compute is the binding constraint" line for months — which is a strength and a caution: it's one coherent voice, not independent confirmation. Where I'd push on the analysis you pasted: it's directionally fine, but it resolves a genuinely open question in the most thesis-flattering direction, and it does it on the one data point that's actually contested. Separate two things. The chart isn't what it looks like. The Silicon Data index isn't total spend or total volume — it's a usage-weighted average token price index, and Silicon Data had to publicly clarify that people keep misreading it; what it really captures is the market's marginal willingness to pay per million tokens. (Digg) So a decline doesn't cleanly mean "AI is slowing 7.14 It means the mix is rotating toward cheaper models. That's the bifurcation — fine. But the part the analysis skipped: the same chart, same downtick, is being used to argue the opposite. Andreas Steno Larsen called it the chart that everyone should be watching and warned that weakening token pricing would end the memory trade and the broader hardware and data-center trade for this cycle.