Apple Store status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Apple Store reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Apple Store users through our website.

• Errors (43%)
• Sign in (29%)
• Website Down (29%)

Live Outage Map

The most recent Apple Store outage reports came from the following cities:

City	Problem Type	Report Time
Nantes	Website Down	8 days ago
Capitólio	Errors	8 days ago
Adelaide	Errors	13 days ago
Ahmedabad	Sign in	15 days ago
Ahmedabad	Website Down	15 days ago
Montréal	Errors	2 months ago

Full 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:

• 
  H43 (@H486572676574) reported 14 seconds ago

  @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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  Jesse Jr Lim (林振燊) (@Jessejrlim) reported 3 minutes ago

  @alphaque Apple store??dafuq should be getting him his own server rack

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  Carol ann Clark (@CarolannClhcjv) reported 5 minutes ago

  @CEOMUSK433 I got locked out of my brand new Apple phone and nobody can fix it so I have to go the Apple Store in Calgary on Monday.

• 
  JD'oh (@JDoh2983) reported 8 minutes ago

  I went straight from the curb to the Apple Store in Honolulu, because surely, I thought, Apple could help me. My phone was erased, and the attacker had switched on Activation Lock, the anti-theft feature that binds a device to its owner's Apple ID. The irony was total: the security designed to protect me from a thief was now the thief's tool for locking me out of my own phone. I could not unlock the device in my own hand. Neither could Apple. At the Genius Bar, with my original purchase receipt and a stack of government IDs on the counter, the technicians told me there was nothing they could do. Their best advice was to buy a new phone. Standing right there at the Genius Bar, I made my first call for help, to a friend who works in private security. That was the person who told me, in plain and practical terms, how to start locking everything down, and much of what my wife and I did over the next several days came from that first call. I left the store and went to my cousin's house. Neither of us had the first idea where to begin unwinding this, and we sat there together, two grown men, feeling helpless. It was no longer only about money, though the money went that night too. The person who held my account also held more than 100,000 family photographs, my notes, my data, every password saved in my Apple keychain, my entire iMessage history, and, worst of all, the ability to receive the text-message verification codes sent to my own number, the codes that guard everything else. In one app, the thief sold the investments I held there to raise cash, then reached my wife directly, sending her a payment request that looked to her like it came from me. She was careful and declined the first requests. A later one, appearing to be from me, drew thousands of dollars out of her before she understood that her own husband was not the one asking. Then they drained the rest. Overnight, from Los Angeles, my accounts bled out through a string of Walgreens drugstores, an Arco gas station, and a single charge of thousands of dollars at a Staples, the signature of a gift-card cash-out. Orders were delivered by a food-delivery app to a Los Angeles address I had never heard of. My PayPal was accessed. Two credit applications were filed in my name. When I tried to freeze one account in the middle of the night, I found its support line ran only on East Coast business hours. It was closed. The thief had the whole night, and used it. When the tally settled, several thousand dollars was gone, and only a small fraction has come back. I expected the theft to end when the money did. It did not. Three days later, on June 28, the intruder reached back into the account and erased my smartwatch, off my wrist, in real time. They were still there. And Apple, it turned out, could not simply give the account back. To prove that I was me, Apple's own recovery process required the very thing the thief controlled since they held the trusted number. Then the calls started, a wave of them from that same number ending in 67, a caller posing as an Apple supervisor and riding the spoofed line. After they take everything, they call you, and they sound exactly like the people you are most desperate to trust. And the fraud has not stopped. In the weeks since, the thief has kept opening cryptocurrency accounts in my name, one after another, using the identity he took to move money through channels that are hard to trace and harder to undo. The police, when I met them at my cousin's house, could do almost nothing but take a report. For guidance on the crime itself, I reached out to an old college classmate who is now an FBI agent. He confirmed that the number had been spoofed, walked me through what to document and whom to contact, and steadied me when I needed it.

• 
  @levelsio (@levelsio) reported 9 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!

• 
  sn ⚡️ (@delicatesoo) reported 15 minutes ago

  went to apple store yesterday to get my battery replaced and you’re telling me i need to go back today for a camera issue? ughhhh

• 
  Lucas (@Lucas62949380) reported 21 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

• 
  Greg - Israelite in Exile (surviving the Galut) (@anexiledjew) reported 21 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.

• 
  SCOE (@jesuisdarius) reported 22 minutes ago

  I’m at the Apple Store to fix my screen. I’m about to turn it in to have it work on. Some ***** sent a text and like a dumb *** I opened it and there’s a **** in the text thread… the guy helping me turn his head swiftly and act like he didn’t see anything. LOL

• 
  DARK DECEPTION (@DarkDeceptionDD) reported 24 minutes ago

  Super Dark Deception CH2's release has been delayed on Switch, PS4, and PS5 due to patch approval issues. PS4 & PS5 are still expected to launch this weekend. Switch is dependent on Nintendo's response time. Here are the platforms where CH2 is currently available: Steam, Xbox One, Xbox Series X|S, Google Play, Apple Store. Epic Games Store is under review and set to launch early next week.

• 
  Vel0x (@vel0xAI) reported 28 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.

• 
  Jinder Singh (@JinderSinghCA) reported 33 minutes ago

  @AppleSupport It’s been more than a week since I visited Apple Store to get my iPhone 17 PM fixed. Which has issue with its charging port. I was told to drop the device at genius bar for the repair. Since then I am continuously taking update from the Apple team and crazy part is.. 1/2

• 
  Oleh (@OlehProductFit) reported 39 minutes ago

  CHINESE DEVS PACKED 1,000 MAC MINIS INTO A SINGLE DATA CENTER AND BUILT A $9,000,000-A-YEAR AI BUSINESS OUT OF APPLE'S CHEAPEST BOX. one thousand silver boxes. rack after rack, floor to ceiling, a wall of fans roaring to keep the whole room cool. Apple sold every one of them for $599 as a desktop for students and creators. these guys turned all thousand into a private cloud that rents compute Western companies charge a fortune for. the build cost around $600,000 once. electricity runs a few thousand a month. and roughly a hundred clients pay monthly retainers to run their models on hardware that never touches the public cloud. run the math and it stops looking like a hobby — boxes bought once, power measured in the low thousands, revenue clearing tens of millions before anyone in the West notices. OpenAI raised billions to build data centers. these guys raised nothing, bought a thousand boxes off the shelf, and quietly undercut the entire industry. the craziest part isn't the scale. it's that every piece of it was sitting in the Apple Store the whole time. tomorrow I'm breaking down how a farm this size is actually wired — the racks, the cooling, the software holding a thousand machines together. save this before running your own cloud stops sounding insane ↓

• 
  jammington bear (@_Jamesy_T_) reported 39 minutes ago

  Maybe this wouldn’t be such a problem if your Tardis didn’t look like a damn Apple Store

• 
  Dawson Gibbs (@dawsbg) reported 40 minutes ago

  The biggest challenge for all consumer apps is acquiring users at the lowest cost. Sweatcoin was having the same issue before it exploded with new users. It was able to acquire users with traditional paid ads, but its CPI would always remain high. Sweatcoin's growth stayed linear until it decided to try a new strategy. And that strategy was mass UGC marketing. Sweatcoin partnered with creators and created organic feeling content. High volume testing of viral hooks and formats. It took these winning viral pieces of content and turned them into Spark Ads. UGC powered paid media. Sweatcoin never had to burn ad spend by guessing on creatives when the creatives were already proven to convert and get engagement. Sweatcoin 10x'd it's ROAS using this viral content made by creators. Hiring tons of creators and ad spend sounds costly, but in reality, Sweatcoin was able to lower its CPI by 53%. In fact, on Apple Store Sweatcoin had the lowest CPI possible. 60 million users acquired. And it all started with one shift in thinking. Mass UGC + UGC powered paid media = 📈 🚀 user acquisition Stop guessing on creatives. Let the market tell you what works. Then put money behind what's already proven. Organic tests it. Paid scales it. Simple as that.

• 
  Asher Crowe 🪺 (@ashercrw) reported 45 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.

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  NivasKannan (@Nivaskannan) reported 45 minutes ago

  @dhans4all @ravikchandar @Vijaylocopilot Better take it to the Apple Store, they might change it free of charge. Recently I had done it for an iPhone 13(particular batch had quality issues with battery)

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  ✨ 𝘾𝙡𝙖𝙞𝙧𝙑𝙏 ( #BringBackValko !! ) (@CLAIRVAUXVT) reported 46 minutes ago

  ITS 6 OR 0 WOLF FAMILY! KEEP GOING! LEAVE YOUR REVIEWS ON THE APPLE STORE! 👏 GET 👏 THAT 👏 NUMBER 👏 DOWN! THIS IS BLACKOUT DAY ❌ DON'T LOG INTO LADS ❌DON'T SPEND ANY MONEY ❌ DON'T MENTION LADS IN TAGS ❌ BOMBARD THE HASHTAG #BRINGBACKVALKO! DRINK WATER, FAM!

• 
  Will Bowen (@Choomytv) reported 47 minutes ago

  @pcgamer Ill buy a @Apple Mac Computer it lasts long, @Dell sucks every company i’ve worked for or owned last 2 years and start having problems and become unreliable. Apple i can take it to a Apple store sometimes a same day or next day its fixed, Dell you have to ship that back i’m the mail for weeks, and it still has problems even after Dell says it’s been fixed. 🚮

• 
  mkb (@mkbraudaway) reported 48 minutes ago

  @FloreFlos Smart move. I had an issue w/cell service. Went to get it resolved & the employee literally referred me to the Apple Store to fix an issue THEY created. 🤯I went back on a diff day & told the manager. Said I was in cust serv for a very long time & I was mortified. He was too.

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  tom 🎸 (@uncreativetom) reported 51 minutes ago

  @Andrewislington I had to go to the Apple Store and they just plugged it into another Mac to restore it. I could have done it myself but I only own one, and no friends with Macs were nearby at the time hahaha. The main issue was that I hadn't backed anything up so lost loads of files oops

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  Dsk (@dsk_8587) reported 51 minutes ago

  @ZEE5India Hey incompetent fellows @ZEE5India Here is a bug for your team to fix I login with my number on your ios app. When I subscribe it takes me to Apple Store. Post that I don’t see the plan in zee5 And when I logout and login with Apple id, I find the subscription. Pathetic

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  Chop Talk (@choptalk14) reported 53 minutes ago

  @BriankDfw @iAnonPatriot Is there an Apple Store in Collin County? If not they will find a county with one and riot there. It’s not about the location of the issue, it’s about a location worth taking stuff.

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  kanak soni (@kanakvsoni) reported 55 minutes ago

  I first visited the Apple Store in Jaipur when the problem was intermittent. The technicians couldn't reproduce the issue, so no defect was found at that time. Now that the issue has become frequent, I revisited the store and was informed that the display needs replacement. (5/8)

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  ಅನಂತ್ ಸುಬ್ಬಣ್ಣ (@AnanthSubbanna) reported 55 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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  Chidanand Tripathi (@thetripathi58) reported 57 minutes ago

  Reclaiming Your Device The man walked out of the Apple Store that afternoon with his original battery still inside his phone and his eighty nine dollars still safely tucked into his pocket. A week later, he sent the Genius Bar worker a short message. He was finishing his entire work day with forty percent of his battery still remaining. He had not touched the Low Power Mode button a single time. We have somehow accepted a strange reality where we think our expensive modern devices just naturally degrade in a few short months. But the truth is much simpler than that. Tech companies design these phones to constantly harvest data, build their corporate networks, and serve their massive ecosystems silently in the background. They are actively using your hardware and your battery life to do their heavy lifting. Stop letting your own phone work against you. Take fifteen minutes tonight, sit down on the couch, and go through this list. You bought the phone to serve you, so make absolutely sure it actually does.

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  Nojme (@NojmeArt) reported 58 minutes ago

  @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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  Aurora Kosmik 🐏 ✨Vtuber ✨ 🐏 (@aurora_kosmik) reported 58 minutes ago

  @LottieStarshot Its slow but its starting to hit on apple store too

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  Coolz (@Coolz261) reported 59 minutes ago

  @lilsamsquanch66 Hopefully the Apple Store caus my shits been slow as hell lately

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  Great Draper’s Ghost (@wunderdog13) reported 60 minutes ago

  @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…..