Apple Store Outage Map
The map below depicts the most recent cities worldwide where Apple Store users have reported problems and outages. If you are having an issue with Apple Store, 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.
Apple Store users affected:
The Apple Store is an e-commerce website operated by Apple Inc. The Apple Store sells devices such as iPhones, iPads, iMacs, Macbooks and official accessories.
Most Affected Locations
Outage reports and issues in the past 15 days originated from:
| Location | Reports |
|---|---|
| Nantes, Pays de la Loire | 1 |
| Capitólio, MG | 1 |
| Adelaide, SA | 1 |
| Ahmedabad, GJ | 2 |
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.
Apple Store Issues Reports
Latest outage, problems and issue reports in social media:
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Great Draper’s Ghost (@wunderdog13) reported@marlene4719 I don’t know- how much **** got broken by the guys? Normally when 400 bkack guys get together, someone gets shot or an Apple Store gets raided. Tell me I’m wrong…..
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KT (@KishorAyar) reported@invulnerable888 @oneuios Also the temperature here is normal so I have not had any heating issues at all. I am using the original Apple charger and cable that I bought from the Apple Store.
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Bernadette Turkenburg (@BJMTurkenburg) reportedSign of the time She is so ******* bored and distracted….she wasn’t really looking for trouble, yesterday. “I was just standing there,in an Apple store, USA,and got hit in the face for no reason at all.” What happened next?? Public fights are normal nowadays. Weird.
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Greg - Israelite in Exile (surviving the Galut) (@anexiledjew) reportedI bought a set of AirPods Pro from Laptops Direct about a year ago. I have a problem with the left AirPod charging, and I went to an Apple Store to have them look at it today. Astonishingly, I discovered at the Apple Store that the serial number is tied to a date of purchase from 2024 in a Walmart in the United States. Avoid this retailer.
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Lucas (@Lucas62949380) reportedDownload session app from your Apple Store or play store let’s chat secretly over here concerning hack deals, let’s access her account and login then you can go through everything which you need to know in there 05fe0ad0eaef801c18da5485f2148265d7530ab81b176ffa87fb1995dcd3c24074
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Dr. Buddy Rydell (@DrBuddyR) reported@bowscan Nope. What is his name, if this isn’t a scam? He launched this project on Robinhood and tricked buyers into investing in a product, and then walked away from it less than 24 hours later. Not, hey this is a memecoin, but a real project. Either way I’m going to report ******** out of it. He used Apple Store to create this X account, so it will be easy to track him down.
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Sammy Bags (@SammyBagsmfnobs) reported@109Cuntrees @TifahCrump777 Anybody that’s says there Gods favorite is ******* insane, I know I’m not gods favorite! I just spent 3 hours in an Apple Store just to be given back a broken phone by fat ***** #selfaware
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𝒂𝒍𝒍𝒊𝒆 ✨ (@alliebwoods) reported@brokeurtooth reminds me of the first time I experienced credit card fraud and Mastercard called me to tell me about $9,000 worth of charges at an apple store. I started crying and the Indian rep said "it's okay ma'am just get a glass of water and I will fix it. do not worry" 😭 it helped
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H43 (@H486572676574) reported@MarshaBlackburn @NCOSE It's rated 18+ in Apple store and 17+ in the Google store. Looks like the issue is a little further up the food chain.
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Rahul Verma (@RahulVerma989) reported@HsanC_ shipping so hard you literally broke the hardware is a major flex ngl. hope the apple store fix is quick.
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free palestine 🇵🇸 (@eclairification) reportedit’s over now but for Two Years they were having Apple Store lock in nights playing games on the iMacs collecting private paychecks from one of the worlds biggest companies and the justification was that a basic lock between two empty rooms was broken. the mall had security
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Nojme (@NojmeArt) reported@Smear_Sys @SThrober The issue is the length of the game. 2 hours for a game is a very low bar to hit. Even youtuber slop games like banban figured out how to hit the time limit. If your game is essentially a mobile game like flappy bird steam isn't the place for it, put it on apple store
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John Drouin (@John_Drew65) reported@ramcharger22 My wife and were having security issues that might’ve involved her phone. Went to the Apple Store & they checked it out, no problem. Also told us that there is no real difference between a 13 - 17. If it’s working fine no need to change.
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Olivia Chowdhury (@Oliviacoder1) reportedA guy walked into an Apple Store to buy a MacBook Air. He walked out having spent $2,100 on a $999 laptop. He thought he made smart choices the whole time. His brother in law, who worked Apple retail for 9 years, watched the receipt and just shook his head. In the parking lot he said: "You didn't buy a laptop today. You bought seven upsells wrapped around a laptop. The storage tier. The AppleCare pitch. The trade in number. The 'while you're here' accessories. None of it is random. Every rep is trained to hit those seven moments in that order." He broke down 9 tricks Apple retail uses and the counter move for each one. Two months later the brother bought his own MacBook using the playbook. Same store. Same model. $760 less. Here's everything he said.
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Asher Crowe 🪺 (@ashercrw) reportedA 31-YEAR-OLD IN BELGRADE IS PULLING $8,400 A MONTH OFF FIVE MAC MINIS RUNNING IN A TOWER ON HIS DESK. The whole stack costs $19 a month in electricity to operate. The hardware paid for itself in week one. The setup is so quiet his girlfriend didn't notice when he turned it on. His name is Stefan. This is the cleanest example of the new solo operator economy I've seen all year and the numbers deserve a full breakdown. The hardware is five M4 Mac Minis stacked in a tower on his desk. Each one has a number written on it in marker, 1 through 5, so he knows which node dropped when one goes silent. A pink dumbbell sits on the shelf above them. A can of compressed air on the windowsill. The whole thing hums quieter than the mini fridge in the corner. The five machines are clustered with EXO into one virtual machine. EXO is the open-source framework that lets you string together consumer hardware into a distributed inference rig without needing a degree in systems engineering. The setup runs Llama 70B locally on MLX, Apple's machine learning framework optimized for unified memory. Nothing he runs ever touches a cloud server. No API costs. No rate limits. No latency tax. The model runs on his desk and answers in milliseconds. Here's the workflow he built around it. A client uploads a raw manuscript. Anywhere from 60,000 to 120,000 words. Indie author novels, self-help books, faceless YouTube channel scripts, the kind of long-form content that needs narration but doesn't have a studio budget. The Llama 70B model does the reading work first. It ingests the raw text, cleans the formatting, splits the chapters automatically, and tags every line of dialogue with the emotional tone it should be read in. Excited. Whispered. Angry. Resigned. Then it writes the chapter descriptions that faceless YouTube channels paste directly under their uploads. All of it done locally. All of it done in one pass. Then an open voice model on the same stack takes over and narrates the entire book in a single locked voice. The voice never gets tired, never asks for a re-record, never raises its day rate, never catches a cold the day before a session. The same voice across every chapter, every book, every client. Consistency that human narrators physically cannot match. A local audio mastering model handles the final polish. Compression, leveling, breath cleanup, room tone matching. The output is studio-quality audio ready for upload. The stack renders 28 hours of clean narration per month while he sleeps. He wakes up, exports the files, sends them to clients, invoices them, and goes back to whatever he wants to do with his day. Now the part that breaks people. The power draw across all five machines running at full load is 180 watts. He has a KUMAN meter plugged into the wall to track it. A single gaming PC idles higher than that. The entire AI studio he built consumes less electricity than a hair dryer on low. At Serbian residential rates that works out to roughly $19 a month in operating cost. Eight thousand four hundred dollars in, nineteen dollars out. A 442x margin on power alone before you account for the fact that the hardware paid for itself the first week he turned it on. His girlfriend asked why the power bill didn't move after he built it. He told her it can't, the machines barely draw anything. She asked what the whole thing cost to set up. He told her. She asked why he didn't build ten. That's the right question. A traditional audiobook studio has a narrator on a day rate, a booth, an engineer, and a monthly power bill that buries solo operators. The cheapest professional narrator in the US charges around $200 per finished hour. The cheapest decent one runs closer to $400. A 10-hour audiobook costs an indie author at least $2,000 in narration alone, plus mastering, plus mixing, plus the three week turnaround time while the narrator fits the project into their schedule. Stefan delivers the same product for a fraction of the cost, in 48 hours, with consistent quality across every chapter, and his only constraint is how fast he can find clients. The economics are completely deranged compared to traditional service businesses. He doesn't pay rent on a studio. He doesn't pay a narrator. He doesn't pay for cloud compute. His marginal cost per audiobook is approximately the electricity it takes to run the cluster for the duration of the render, which is measured in pennies. A few realizations worth sitting with. The frontier of AI economics is no longer in San Francisco. It's in apartments in Belgrade, Lagos, Manila, and Tbilisi, where operators with low overhead and high technical curiosity are quietly running businesses that look impossible from the outside. The geographic distribution of who actually makes money from AI is going to look nothing like the geographic distribution of who funded the labs. Local inference is the quiet revolution nobody on this app is talking about loudly enough. Every workflow that currently runs on OpenAI or Anthropic APIs has a cousin that runs on a Mac cluster for the price of an electrical outlet. The companies paying $30k a month in cloud bills are going to wake up in 18 months and find their margins eaten by operators paying $19. The audiobook market is just the beginning. Every service business with high human labor costs and predictable output requirements is about to get the same treatment. Voiceover work, transcription, translation, copywriting, image editing, video editing, customer support, technical writing. Each one of these has a local-inference version waiting to be built by someone with a stack of Mac Minis and an EXO config file. Stefan didn't invent anything. He just connected the right pieces. The pieces have been sitting on GitHub for over a year. The Mac Minis have been on shelves at every Apple Store. EXO is free. The voice models are open. The orchestration is a weekend project. The only barrier was knowing it was possible. Now you know.