Apple Store 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.

Apple Store Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Chris M. Walker (@cmwalker) reported 1 minute ago

  This meme is supposed to be motivational… it’s actually bullshit. First of all it implies that 50% of people keep working at what they want to achieve. 1% is more like it. The other problem is that bro on the bottom gives up right before he succeeds. Thats optimistic too. Most people swing the axe one time and see it didn’t even break an inch off the wall and give up. People just do not want to do the volume that’s needed to succeed at anything. They think they want the result. They think they are willing to do the work. What they really want is the Instagram post. They want to appear to succeed. They want everything but doing what it takes. The reason I’m thinking about this today is that I just went through 236 revisions for the script of 1 video on a YouTube channel that hasn’t even launched yet. That’s after one channel took me 10 years to get to 100k subscribers. And despite all that boring tedious work swapping a single word for another… …I still don’t feel like it’s good enough and just had a thought on how I can make it better and am going to start over from zero. Most people give up when their first 30 second reel doesn’t make them Mr. Beast. Kobe Bryant used to take 800 to 1,000 made jumpshots a day in the offseason. Not taken. Made. He’d be in the gym at 4am doing the same boring movement thousands of times while the rest of the league slept. The 81 point games were built on ten thousand swings nobody saw. Steve Jobs scrapped the entire design of the first Apple Store when it was nearly finished, months of work, because he decided it was organized around products instead of around what people wanted to do. He started over. The redo became the most profitable retail on earth per square foot. Neither of them was a few inches from the diamonds getting lucky. They swung the axe an absurd number of times, hated a lot of the swings, and kept going anyway. So if you actually want to succeed at something, get ready to be bored. For a long time. Doing the same unglamorous reps long after it stopped being exciting and long before it started paying. Or, if you just want to look successful, take a photo of yourself, drop it into ChatGPT, and tell it to put you in front of a private jet. It’s gotten pretty good at that. Think Big

• 
  Michael Pepper (@M1CHAEL_PEPPER) reported 2 minutes ago

  @_TheJasonC Let’s not forget the trust factor. I’ve seen plenty of stories about the poor customer service with Samsung. I’ve experienced it myself with issues with trade ins. They’ve tried to tell me I didn’t send in a device in the condition I said it was. The minute I mentioned having photos and videos of the condition and me packing it up, all of a sudden, they weren’t going to try to issue a charge back to me anymore. That happened a few times. Then, there’s the turn around for repairs. I’ve had a few things repaired by Apple and they’ve had them back to me within a few days. Shipped out on Monday and back to me by Wednesday. I’ve seen people have Samsung take weeks to months. Also, the ability to easily message with Apple support through iMessage. There’s trust that if you have an issue, you will be able to get ahold of someone and they’ll do their best to help you if they can. Yes, there can be the occasional poor support, but it’s far less often than the numbers I’ve seen with issues with Samsung. Google has their issues as well. My sister had an issue with her Pixel 6 Pro. They replaced it 4 times before she got so frustrated that she ended up just buying the 9 Pro XL. Neither Google nor Verizon seemed to understand the importance of keeping the customer happy. She was close to getting an iPhone and switching carriers. She’s been a Pixel user since the first Pixel. Apple is about not only the ecosystem but their post sales support and how they stand behind their products. Things like, if I switch from individual services to Apple One, they’ll refund the unused days prorated. Things like, when I had some dead pixels form on a MacBook Pro Display, I took it into the Apple Store, they ran some test and while they were doing those tests, they had things my son could do so he wasn’t bored and as a parent that is significant. He played some games on an iPad and watched something on the Apple TV. I’ve not once walked into an Apple Store and been ignored. But, I’ve tried to get help from Samsung reps inside a Best Buy and it was like I was asking a lot of them. It’s about training of their staff and how their employees treat the customers. I’ve never felt rushed either. I was picking up an iPhone, last year and did a trade in and they let me make sure everything was transferring over and made sure I didn’t need anything while my apps and settings transferred over and my carrier service moved over. The store closed and they let us finish up what we were doing while they did their closing duties. When we left, then had a bag with candy that each of us (my wife, son and I) got to take some. It was around some holiday. For me, it’s like being part of a family or big friend group. It comes down to how often have I been frustrated vs how often have I been very pleased with my experience and even had someone go above and beyond what I expected. Those experiences create loyalty.

• 
  John Drouin (@John_Drew65) reported 3 minutes ago

  @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.

• 
  Nethead (@nethead) reported 6 minutes ago

  Does @Apple have a iPad Pro USB-C charge port issue iPad Pro lasted less than two years USB-C port wouldn't charge, Apple replaced with New iPad (not refurbished) Applecare 2nd iPad Pro 17 months old has same issue, headed to Apple store on Sunday @AppleSupport #CookEra

• 
  Rybear1977 (@Tourettes97) reported 13 minutes ago

  @TimSweeneyEpic You have no ******* room to speak on this. You had fortnite on the Apple store and coerced your players into paying you directly so you can avoid giving Apple a cut. Then had a whole animation rendered and ready before hand when you got in trouble with Apple. Shut. The. ****. Up

• 
  Erik Radle (@Radle) reported 14 minutes ago

  @JMakeley @ProhibitionUS You can't tell the difference between an Apple Store and a cartel? The PROBLEM is a poisoned supply, cut with fent and rat poison. People are dying not because of drugs but because of cross contamination. Notice how our booze supply isn't poisoned? Legal and regulated industries are not dressed-up cartels, friend. You don't want harm reduction, just control.

• 
  Greg - Israelite in Exile (surviving the Galut) (@anexiledjew) reported 17 minutes ago

  I 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.

• 
  Jack (@jackcoder0) reported 21 minutes ago

  Her Apple Watch battery dropped to 78% after just one year. She wore it daily. She charged it overnight. She used it like every other Apple Watch owner she knew. Yet her battery had degraded faster in 12 months than her iPhone had in 3 years. She took it to the Genius Bar, expecting them to confirm it was defective. The technician ran every diagnostic. "Your watch isn't broken. It's just been running 24 hours a day doing things it doesn't need to do. There are 4 default settings on every Apple Watch that hammer the battery overnight. Apple knows. They've known since the first Series 1 launched. They don't change the defaults." She asked why. He gave the same answer Apple Store employees have learned to give silence. Then he opened the Watch app on her iPhone and walked her through everything. Here's what he showed her. 🧵

• 
  Asher Crowe 🪺 (@ashercrw) reported 21 minutes ago

  A 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.

• 
  @levelsio (@levelsio) reported 22 minutes ago

  PS a few days ago we actually went to Rimowa Copenhagen to fix the previous cracks (in quote tweet) They brushed us off and said they couldn't help us and we'd have to get it fixed in Lisbon where we bought it Which is funny cause if I break my MacBook Pro, I can literally bring it into any official Apple Store anywhere and they'll fix it Or if I lose my debit card, Revolut will send me a new one anywhere in the world and it'll arrive in a day or so! The point of service is especially when it's a suitcase, you're probably traveling when it breaks, and you want to either get it fixed or get a temporary replacement while yours get fixed, so you can keep traveling That's what I mean with premium luxury service that I'm happy to pay a lot for!

• 
  Vel0x (@vel0xAI) reported 23 minutes ago

  A student in the United States received a $3,000 university grant and spent the entire amount on five Mac Minis, not because he wanted a better study setup, and not because he was trying to impress anyone in his dorm, but because he was tired of waking up every morning and explaining his life to an AI that had forgotten everything by the next session. He did not use the money for textbooks, private tutoring, paid courses, or a new laptop like the university probably expected. He went to an Apple Store, bought five small machines, carried them back to his dorm room, numbered them from 1 to 5 with a black marker, stacked them on a cheap metal shelf beside his desk, connected a power meter to the wall, made instant noodles, and went to sleep while the machines began turning his room into something that looked less like student housing and more like a private AI lab built on scholarship money. His neighbors thought he was mining crypto, which made sense from the outside, because all they saw was a shelf full of computers running through the night, cables hanging behind the desk, a small fan pointed at the stack, and a student who suddenly cared too much about wattage. What they did not understand was that he was not trying to mine coins; he was trying to build a system that remembered his classes, his assignments, his codebase, his mistakes, his goals, and the product he was quietly building while everyone else was still treating AI like a smarter search bar. The problem he wanted to solve was simple but annoying enough to change everything. Every time he opened a new AI chat, he had to explain who he was, what he was studying, what project he was building, what the professor wanted, which parts of the codebase were broken, what he had already tried, what had failed, what he had learned the day before, and why the answer needed to fit his specific situation instead of sounding like generic advice from a model with no memory. He realized that the most valuable thing was not another chatbot, but a system that could keep context long enough to become useful. Each Mac Mini became responsible for a different part of his life. One machine processed his lecture notes and turned them into explanations he could actually understand. Another reviewed his assignments before submission and checked whether his arguments, code, and formatting matched the requirements. A third acted like a private tutor that questioned him until he could explain the material back clearly. A fourth wrote, tested, and refactored code for the product he was building outside class. The fifth coordinated the whole system, kept the rules updated, stored the context, and decided which task needed to run next while he was sleeping. There was no development team behind it, no manager assigning tickets, no daily standup, no productivity consultant, and no university department guiding the experiment. There was only a rules file, five machines on a dorm shelf, and a student who understood that local AI became much more valuable once it stopped being a conversation and started behaving like infrastructure. The university had given him money for education, but he used it to build an education system that did not forget him. That was the part most people missed when they saw the setup. The point was not only that the machines were powerful enough to run useful models locally; the point was that they belonged to him, which meant his lecture notes, unfinished code, business ideas, exam prep, personal mistakes, drafts, and prompts stayed in his room instead of being uploaded into somebody else’s cloud dashboard under somebody else’s terms of service. During the day, he still went to class like everyone else, listened to lectures, submitted assignments, and looked like a normal student trying to get through the semester. At night, the system summarized readings, found gaps in his understanding, generated practice questions, cleaned up code, tested features, wrote documentation, and moved his side project forward without needing him to sit there and manually push every step. When he woke up, he was not starting from zero like everyone else opening a blank chat window. He was starting from wherever the machines had stopped. At first, people in the dorm laughed at the shelf with the numbered Mac Minis because it looked excessive, strange, and slightly ridiculous for a student room. Then they started asking him to summarize lectures they had missed. After that, they asked whether it could help them prepare for exams, review essays, explain technical concepts, debug projects, and remember the context of their classes without forcing them to rewrite the same background information every time they needed help. That was when the private study system became a product. He packaged smaller versions of the setup for other students, not as a replacement university and not as another generic AI wrapper, but as a memory layer for people who were tired of using tools that forgot them every morning. It became private study agents, class note summarizers, exam preparation bots, coding copilots, and project assistants that remembered the user’s material, progress, weaknesses, and deadlines. The grant was $3,000, the machines cost less to run than most monthly subscriptions, and the first paying users came from the same dorm that had originally joked he was mining crypto. What started as a way to survive his own semester turned into a product other students were willing to pay for, because it solved the problem they had all accepted as normal. Now the system makes around $45,000 a month, and the strangest part is that none of it began as a startup pitch. It began as a student using university money to stop repeating himself to a machine. The university thought it was funding his education. What it actually funded was the infrastructure he used to rebuild it.

• 
  100and1 Gadgets Orchid (@mollfixdiapers) reported 24 minutes ago

  @69LifeCode @EmzyGadgets People that bought from Apple Store in USA face the same issue , The tweet said might and some.

• 
  Lucas (@Lucas62949380) reported 24 minutes ago

  Download 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

• 
  freedom (@finallyspoken1) reported 24 minutes ago

  @pnj777 @karanaggarwal86 @Apple I can purchase it online, it will get delivered to me sealed! I bought one from Apple Store, no such issue! Unicorn store, wants to make more money! The moment I was asked to buy a cover, as mandatory purchase I walked out!

• 
  Motoke of Lagos (@Motoke_OG) reported 31 minutes ago

  @Apple @AppleSupport you guys need to fix this rubbish issue with the AirPods 4. My pods keeps dropping and reconnecting from my device and I’ve taken it to the Apple Store three times now! It’s getting ridiculous!!!