Apple Store Outage Map

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Apple Store Issues Reports

Latest outage, problems and issue reports in social media:

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  𝒂𝒍𝒍𝒊𝒆 ✨ (@alliebwoods) reported 3 minutes ago

  @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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  Suraj Satheesh (@putther27) reported 4 minutes ago

  @techbharat apple does not cover these issues. my relative’s iPhone 14 had green line, i took it to apple store Mumbai bkc and they told it would cost around 22k display replacement no free repair. better sell it or exchange with new one. we got 23k exchange offer with iPhone 17 via flipkart

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  ಅನಂತ್ ಸುಬ್ಬಣ್ಣ (@AnanthSubbanna) reported 5 minutes ago

  @usmantweets_ I got the same problem with my iPhone 14 plus. Rear camera is not working. Unfortunately, as per the apple store, the service program is not going to be covered for my device even though my device is manufactured in Dec 2023. @AppleSupport @Apple pls help

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  Alex Ventures (@alex23ventures) reported 8 minutes ago

  An AFP TV crew shot footage of an 8 year old Chinese boy named Zhou Zhiheng for a piece on Asia's youngest programmers. Round green frames. Red shirt. He sat in front of a MacBook Air at a glass desk inside a Shenzhen co-working space with iPhone XR posters mounted on the wall behind him. The voiceover said he had started out building games. The subtitle said his coding tutorial channel pulled 60,000 followers. The camera pushed in tight on his fingers across the keys. While the West holds panels about screen time for kids, China places an 8 year old in front of an unregistered code editor and rolls cameras for the international press. He was meant to be the friendly face of Asian tech literacy. He just left the sidebar open. Pause at 1:34. Skip past the C++ on the screen. Skip past the if statement the AFP voiceover was reading. Look at the left panel of the editor. The folder is labeled aspirin. The open file is jizhe.cpp. The folder tree below: 1-7, 1-7b, 10-1, 10-1.2, 10-2, 10-4, 10-6, 10-8, 11-2. ColdMath. $94,318 profit. 5,612 entries. Joined September 2025. Bio: Edge Compounds. Jizhe is the mandarin word for journalist. The file the AFP crew was rolling on was named after them. The boy had the open scanf reading a score variable. He had not typed it that morning. He had given the file its name the day the AFP request came through. The numbered folders were not chapters of a coding course. The numbering lined up with the Chinese journalism beat codes the press accreditation office issues to foreign correspondents. 1-7 is the technology beat. 10-1 is consumer electronics. 10-2 is mobile devices. 11-2 is venture capital. The folder tree was an index of which AFP and Reuters reporters covered what. The boy was not the developer. The boy was the camera trap. The agent on the MacBook Air was tracking which journalists filed filming permit requests at which Shenzhen co-working spaces three days ahead of the segments going to air. Every permit request was a position on the company being filmed. The agent traded the gap between shoot and broadcast. The crew rolled for forty minutes. The agent placed eleven positions during the shoot. Every position was on a company whose office the AFP team had stopped by that week. The comments turned into a detective board. One viewer dropped the AFP clip to 0.25x. Another translated jizhe out of the filename. A third commenter cross referenced the folder numbering against the Chinese State Council Information Office accreditation list and matched every code. Six months ago a 14 year old in Shenzhen pushed an AI agent to GitHub. Judges said no real world application. 3,100 forks later. The boy's father had been one of them. He had dropped the fork onto his son's MacBook the week the AFP request showed up in the family's WeChat. The 60,000 follower coding channel was not a coding channel. It was a feed tracking which co-working spaces were hosting which crews. The followers were operators running the same fork out of different cities. The iPhone XR posters behind him were not Apple Store decor. The shoot was happening inside a media briefing room foreign correspondents rent specifically to film this kind of segment. The agent already knew the room. The room was on the list. The AFP segment sits at 2.1 million views. The freeze frame of the folder tree cleared 4.6 million on the repost. The wallet is still compounding. The agent is still reading press accreditation requests. The unregistered editor is still open. The jizhe.cpp file is still on screen. They filmed him to prove a child could code. The child was the lens. The agent was running the shoot.

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  Asrar (@asrrrrrr217) reported 9 minutes ago

  @AIAdsApps I have very problem with apple store ?

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  Agujiegbe.nad (@valeriannamani) reported 10 minutes ago

  @benedicta58119 @ugo6ixugo @uebaridornu nna eeh, we actually have a numbers problem, if we have this much rich people, how come top luxury brands aren't setting up shop here, from certified apple store to others, how come new cars aren't being sold in huge numbers ??

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  Memories collection (@gunpeiyokoifan) reported 12 minutes ago

  Also "having to forcefully stop yourself from (over)sharing on a special interest" I'm so screwed, I once seen a coworker ask why his iPhone wasn't working and I really wanted to fix it, but that would seem creepy because I'm NOT at an Apple Store yet

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  KT (@KishorAyar) reported 13 minutes ago

  @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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  𝕬𝖈𝖊_𝕱𝖗𝖎𝖏𝖔̈𝖑𝖊 🇺🇸 (@Ace_Frijole3) reported 15 minutes ago

  I feel sorry for @Macys & the @Apple store — they’re going to loot the stores, who you ask, Mistah Mayor? Why, your low IQ Arabs, Dominicans & “Those People” — they’re going to burn the City down & loot everything in sight

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  pingyu (@pingyu__) reported 20 minutes ago

  apple store quoted me 800 to fix my mac. man **** lemme look at new ones aww man 🤫

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  mimcee (@mimcee) reported 21 minutes ago

  @tim_cook How so!? #AppleSucks because you guys still haven’t resolved my Apple Store issue???!!!!

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  Alida Antonia (@ArtByAlida) reported 21 minutes ago

  @ATT Your tech support told me that I should go to the Apple Store because he could not fix my issue. Apple had full access to see my settings. It’s an @ATT problem. It’s not an Apple issue.

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  Yada Yada Yada Farm (@bcglass2012) reported 21 minutes ago

  @deesnider Goto your local apple store and they ll fix it, a lot these responses are just people wanting to talk. Good luck.

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  Josh (@jjpcodes) reported 22 minutes ago

  @thekitze shoot your mac with a gun every night at 10pm. tomorrow morning go to the apple store, buy a new mac, ssh into a server, bam done. more seriously what about MDM that locks down your device enough so that you can't change the relevant settings; and the only person with access to the MDM after initial setup is someone who is not you and not bribable by you?

• 
  Asher Crowe 🪺 (@ashercrw) reported 24 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.