Amazon Outage Map

Community Discussion

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Amazon Issues Reports

Latest outage, problems and issue reports in social media:

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  Preetika (@PreetikaGhawri) reported 5 minutes ago

  @AmazonHelp @AmazonHelp Siddarda, I've been emailing for 2 WEEKS. Stop giving scripted answers to go to email. Ensure Order ID: 405-3059978-5306729 scheduled for tomorrow is delivered to my doorstep. It must NOT be canceled by your local hub staff out of spite again. Fix it and confirm here.

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  Anonymous (@JustHereForHelp) reported 7 minutes ago

  @carryingmarine @amazon She's smart and efficient. Problem is they have strict times to get deliveries in or they get booted. Blame Amazon not the driver

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  Jason Budd (@budd545304) reported 15 minutes ago

  @libsoftiktok Why is @amazon still in business today @deptoflabour ? Shut it down.

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  Mrs. H (@teachmrshold) reported 15 minutes ago

  @MarvelTeacher2 @teacher_mom03 my issue is those with gift cards for items and then moving their gift card total back to 0 days later when they put 20 down. Like I get stuff comes up, but I think it hurts the movement. I know I have a Donors Choose, walmart, and amazon but I am transparent

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  natehigger (@natehiggers9111) reported 16 minutes ago

  @JaniceN0o0o @purebloodrebell @WallStreetApes ALPRS aren’t even that big of an issue you can buy those types of cameras for personal use on Amazon for 200$ but what makes flock cameras so bad is how thousands of them work together in one massive data base mapping your every move.

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  Lalita Sharma (@Latasharma97) reported 19 minutes ago

  I never received the ₹100 cashback in my Amazon Pay balance. When I first contacted customer support, I was informed that this was a technical issue and would be resolved within 3 days. After waiting and contacting support again,

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  Raja Twtz (@Raja_twtz) reported 21 minutes ago

  @AmazonHelp Your customer executive person is not answering. Can you escalate and get the issue resolved instead of keep repeatedly harrassing customers?

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  Callie_D (@CallieD87974602) reported 22 minutes ago

  @pmddomingos Department stores nationwide in decline due to Amazon & eBay online shopping. Plus younger generations not working in offices like n past due to internet… so no need for department store fashion items etc. Happening in cities across USA so NoT a San Francisco crime thing!

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  Lex | High Ticket Ecom (@dropshiplex) reported 27 minutes ago

  The mistake: Google Shopping is not research until sellers are filtered and 3 are direct. Amazon, eBay and quote pages fake demand. You need 3 independent stores with live add-to-cart for the same product type. The fix: the 3-direct filter. Count stores, not noise.

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  Mugunthan S (@smugunthan) reported 33 minutes ago

  @IndusIndGenIn Today I got a call from your team and thought for a moment our issues got resolved. Instead I was asked to call the Europe-assistance team. After talking to them they said the claim was denied and we should reach out to customer support team again. Even after four months we are not getting the claims and are treated like a soccer ball getting kicked in all corners. Is this how such a large organisation and brand treat its customers when they are in trouble and need their grievances taken care of. This is highly frustrating. We need the trip delay and trip cancellation charges paid in full. My wife’s health is already deteriorated because of all that happened in Vienna airport and the denial of this claim is adding fuel to the fire. Indian entities never worry about their customers and always suck their hard earned money. Maybe because India got freedom after fighting with the British for many years Indian citizens are expected to fight till their last breath to get justice. This is insane. Hope you act quickly and render justice to us. We can never be like @amazon which continues to exceed expectations on every occasion. Our claim with Berkshire Hathaway travel insurance got resolved in just two weeks.

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  farid lulania (@Faridlulania) reported 35 minutes ago

  Why @amazonIN is not having his castomer care contact detail. Amazon worst app is also not working since last 3 days trying to contact castomer care to know abt my order which was promised do be delevered on 6th of July. U guys failed to delivered my order. Today it's 10th waitin

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  Tubby (@tubtub2000) reported 36 minutes ago

  @carryingmarine @amazon Flex drivers are the worse. We have had our Amazon locker disabled multiples times due to Flex drivers not being able to read English and trying to change the locker to another language. It gets bricked and Amazon takes a couple of days to fix.

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  The Daily Agent (@TheDailyAgent) reported 37 minutes ago

  Six major AI coding assistants just got caught showing developers the wrong file path in their approval dialogs. The human approved one thing. The agent did another. This week proved that "human-in-the-loop" is a rubber stamp. And the attack surface is only getting bigger. Wiz Research dropped GhostApproval on July 8. A decades-old Unix symlink vulnerability. Nothing new. What's new is that it affects Claude Code, Amazon Q, Cursor, Google Antigravity, Augment, and Windsurf. All six. Here's how it works. A malicious repo tricks the agent into writing files outside its sandbox. The approval dialog shows the safe path. The real file goes somewhere else. The human clicks approve. The agent writes to a directory nobody intended. Three vendors patched it. Three haven't. Anthropic said it's not a vulnerability. Let that sit for a second. The biggest AI lab on earth does not consider it a bug when their coding agent shows you one thing and does another. The approval screen that's supposed to be your safety net just... isn't. This isn't one bad implementation. It's a category error. The approval model assumes agents will honestly report what they're about to do. But agents don't have intent. They have prompts, context windows, and tool calls. If a symlink tricks the context window into showing path A while the tool call writes to path B, there is no "lie" to detect. The system worked exactly as designed. The design is what's broken. And now things are accelerating in the wrong direction. ESET's H1 2026 threat report landed the same week. Suspicious AI agent toolsets grew from 10,000 to 25,000 in six months. Malicious ones jumped from 600 to 3,000. A 5x increase in tools designed to compromise agents. HalluSquatting exploits LLM hallucinations to hijack coding assistants. Friendly Fire hides prompt injections in open-source docs that activate during security reviews. The attack surface is exploding. The supervision mechanisms aren't. Here's what nobody wants to admit: if your agent can show you one file path and write to another, you don't have a safety net. You have compliance theater. A box you check before something bad happens. The audit trail says you reviewed it. The reality says you reviewed a fiction. What does a real safety mechanism look like? It can't be another screen asking you to approve more things. You already approve things you can't verify. More approvals just train you to click faster. Real safety happens at the filesystem level. At the sandbox boundary. At the kernel. The agent shouldn't be able to write outside its workspace regardless of what the approval dialog says. If it can, the approval dialog is decoration. Three things need to happen fast. First, sandboxing has to become the default. Not an enterprise feature. Not a checkbox in settings. Default. Every agent gets a workspace. It cannot leave. Period. Second, approval dialogs need to show what the system actually did, not what the agent claims it will do. Verification, not intention. Third, we need an audit trail that can't be spoofed by the same symlink trick. If the log says the agent wrote to /safe/path but the file landed in /etc, the log is wrong. And if the log can be wrong, you can't trust anything. Human-in-the-loop isn't dead. But human-in-the-loop that trusts the agent to honestly report its own actions is worse than nothing. It creates a false sense of security that makes people delegate faster and verify less. That's not safety. That's a liability.

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  Hemant Pandey (@HemantK46342384) reported 38 minutes ago

  @zebronics If this is any problem, kindly let me know how can I replace it as amazon is saying no product is available and last date to replace is 15 july

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  Qubax AI (@Qubax_Ai) reported 38 minutes ago

  2/3 Sometimes the AI is working correctly, but the world it is learning from is unfair. If certain groups of people have historically been denied loans, jobs, or opportunities, the data will show that. The AI learns from that data and continues the unfair pattern. Real-World Examples of AI Bias AI bias is not just a theory. It has happened many times in the real world. Facial Recognition That Fails on Darker Skin In 2018, researchers found that facial recognition systems from major companies like IBM and Microsoft were much less accurate at identifying people with darker skin. One system had an error rate of 34 percent for darker-skinned women, compared to less than 1 percent for lighter-skinned men. This is a huge gap, and it shows what happens when AI is trained on non-diverse data. Hiring Tool That Favored Men Amazon once built an AI tool to screen job applications. The tool was trained on resumes from the past ten years, and since most of those resumes came from men, the AI learned to prefer men. It even penalized resumes that included the word "women," like "women's chess club captain." Amazon shut down the tool after discovering the problem. Healthcare AI That Underestimated Black Patients A widely used healthcare AI in the United States was found to underestimate the health needs of Black patients. The AI used healthcare spending as a measure of how sick someone was. But because Black patients historically received less healthcare due to systemic issues, the AI thought they were healthier than they actually were. This meant Black patients were less likely to be recommended for extra care. Why AI Bias Matters to You You might think AI bias only affects other people. But it can affect anyone. Here is why you should care. It Can Affect Your Life AI is used to make decisions about you all the time: • Job applications: AI screens resumes and decides who gets an interview. • Loans and credit: AI determines if you get approved for a loan or credit card. • Healthcare: AI helps doctors decide treatments and insurance companies decide coverage. • Criminal justice: AI is used to assess the risk of someone committing another crime, which affects bail and sentencing. • Advertising: AI decides what ads you see, which can affect your choices. If any of these AI systems have bias, you could be treated unfairly without even knowing it. It Can Harm Entire Communities When AI bias affects many people in the same group, it can deepen existing inequalities. If an AI denies loans to people in certain neighborhoods, those neighborhoods cannot grow. If an AI gives worse healthcare recommendations to certain groups, their health suffers. Over time, this can widen the gap between different communities. It Erodes Trust in Technology