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.

• Sign in (38%)
• Website Down (38%)
• Errors (25%)

Live Outage Map

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

City	Problem Type	Report Time
Montréal	Errors	2 months ago
Ciudad López Mateos	Sign in	2 months ago
Quito	Website Down	2 months ago
Guayaquil	Sign in	2 months ago
New York City	Sign in	3 months ago
Malibu	Website Down	3 months ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

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Apple Store Issues Reports

Latest outage, problems and issue reports in social media:

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  🍩 (opinion arc) (@donutgrillfish) reported 3 minutes ago

  @KASTxyz @tokennation_io Guys the virtual card is not working in Apple Store or pay

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  Barry Merritt☦ (@barrymerritt) reported 3 minutes ago

  @MoshiMoshiMoan Ethan Ralph probably has less than $9000 US left. He probably sold the stolen MacBook to pay for *******. It should interesting when @scarletthampt0n decides to lock the stolen MacBook down preventing anyone from using it with MacOS. It would require a US Apple Store to unbrick it. With his temporary residency visa expiring, he may be back in the US soon.

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  Asher Crowe 🪺 (@ashercrw) reported 4 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.

• 
  Chop Talk (@choptalk14) reported 7 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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  Omnicris (@Omnicris) reported 8 minutes ago

  Yeah, it could, but it won't. People steal things that are locked down all the time. I mean, even the Apple Store display models get stolen all the time, and those have a special version of iOS that runs on them, so you can't do anything with them anyway; they're paperweights. My concern is the ability for Apple, or any tech company for that matter, to be able to remotely disable a device, whether you are a criminal or not.

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  santosh Yadav (@santosh52681534) reported 12 minutes ago

  @Apple I forgot my password and visited the Apple Store in Mumbai to unlock my phone. I was informed that I should call customer care after 24 hours. Today, after waiting 24 hours, I contacted customer care and was told that the server would unlock my phone only after 6 days.

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  Rick Young Jr (@RichardYoungJr7) reported 14 minutes ago

  @aaron_tagerson 😬 yup. I go right to the Apple Store it cuts down on some of the BS

• 
  Vel0x (@vel0xAI) reported 14 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.

• 
  Cameron (@e_goeth) reported 17 minutes ago

  My friend did this with his laptop and when he brought it to the Apple Store he had to give them the password and they refused to fix it

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  Nethead.Music (@NetheadM) reported 20 minutes ago

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

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  maximum (@maximumdegen) reported 20 minutes ago

  YES! Mac Mini at $599 is killing AI subscriptions Developers are massively ditching Claude Code, ChatGPT Pro, and Cursor — switching to local models running on Mac Mini M4. One Reddit post ("spent $170 in 10 days on Claude Code") triggered a wave: someone replied "bought a Mac Mini — haven't paid Anthropic since", and that same week the mini-computers disappeared from Apple Store shelves. Why it works:The M4 chip with unified memory (120 GB/s) runs large models more efficiently than a $1,500 Windows PC with a dedicated GPU. Since January 2026, Ollama supports the Anthropic API format — Claude Code connects to a local server with a single environment variable. Cost per request: $0. The math is simple:A heavy developer spends ~$459/month on AI subscriptions = $5,500+ per year. The Mac Mini pays for itself in under 3 months, after that — $3 a month in electricity. Marcus Chen took it furthest — he built a rack of 30 Mac Minis as his personal AI farm. Those who own the infrastructure today will have years of advantage tomorrow.

• 
  Jack (@jackcoder0) reported 28 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. 🧵

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  Watthewat (@Haptraz) reported 28 minutes ago

  @Somniss Quality Indie games are the future. It's just super easy to make a prototype. Steam has to find a solution to this problem. Their market will turn into google play apple store at some point.

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  TXTeslaCowboy 🇺🇸 (@TXTeslaCowboy) reported 33 minutes ago

  @tregan01 Big Apple Store problem. Hopefully they fix soon

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  Mehwish kiran (@mehwishkiran07) reported 34 minutes ago

  The uncomfortable truth: Apple's business model rewards storage anxiety. The more often customers see "Storage Almost Full," the more likely they are to: 1. Pay for iCloud subscriptions 2. Upgrade to higher-storage models 3. Buy a new iPhone entirely Every default setting on a new iPhone trends in the direction of consuming more storage, not less. The 7 fixes above take 10 minutes total. They cost nothing. They will recover an average of 40-60 GB on most iPhones over 12 months old. The Apple Store employee said one more thing before he left: "We see this every day. Most people don't even check Settings → General → iPhone Storage before they walk in. They just assume the phone is too small for them. It almost never is." RT this so more iPhone users stop spending $1,000 on a storage problem that could be solved with 7 toggles.

• 
  Alex Ventures (@alex23ventures) reported 36 minutes ago

  An AFP TV crew filmed an 8 year old Chinese boy named Zhou Zhiheng for a feature on Asia's youngest coders. Round green glasses. Red shirt. He sat in front of a MacBook Air at a glass desk in a Shenzhen co-working space with iPhone XR posters behind him. The narrator said he started by programming games. The subtitle said he had 60,000 followers on a coding tutorial channel. The camera pushed in on his fingers on the keyboard. While the West runs panels on screen time for children, China sits an 8 year old in front of an unregistered code editor and films it for the international press. He was supposed to be the cute face of Asian tech literacy. He just left the file tree open. Pause at 1:34. Ignore the C++ on the screen. Ignore the if statement that the AFP narrator was reading aloud. Look at the left sidebar of the editor. The folder is named aspirin. The open file is jizhe.cpp. The folder tree below it: 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 filming was named after them. The boy had the open scanf reading a score variable. He had not written it that morning. He had named the file the day the AFP request came in. The numbered folders were not coding lesson chapters. The numbering matched 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 scraping which journalists requested filming permits from which Shenzhen co-working spaces three days before the segments aired. Every requested permit was a position on the company being filmed. The agent traded the gap between filming and broadcast. The crew filmed for forty minutes. The agent placed eleven positions during the shoot. Every position was on a company whose office the AFP team had visited that week. Comments turned into a detective board. Someone slowed the AFP clip to 0.25x. Someone else 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 installed the fork on his son's MacBook the week the AFP request landed in the family's WeChat. The 60,000 follower coding channel was not a coding channel. It was a feed of which co-working spaces hosted which crews. The followers were operators running the same fork from different cities. The iPhone XR posters behind him were not Apple Store decor. The shoot was inside a media briefing room rented by foreign correspondents to film exactly this kind of segment. The agent knew the room. The room was on the list. The AFP segment is at 2.1 million views. The freeze frame of the folder tree hit 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 the screen. He was filmed as proof a child could code. The child was the lens. The agent did the filming.

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  yessi (@yessicaster) reported 37 minutes ago

  I’m the kind of friend to surprise you at the apple store and wait out a bad day w you while they fix your phone.. or the friend who negotiates with the tow truck driver while your car is broken down in the middle of street

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  Chidanand Tripathi (@thetripathi58) reported 37 minutes ago

  12. The "Location-Based Alerts & Apple Ads" The Situation: You assume that seeing targeted ads is just the unavoidable cost of using the internet, and that occasional alerts from your phone are harmless and normal. The System Reality: Apple positions itself as a privacy-first company, but they still have a massive advertising business. Your phone is actively tracking your location, crossing digital geofences, and analyzing your proximity to retail locations to serve you geographically relevant Apple Store ads and location-based suggestions. The Technical Drain: Geofencing is expensive for a battery. The phone has to constantly calculate its distance from invisible barriers to know when to trigger an alert. It’s using your battery power to figure out how to market products to you more effectively. The Fix: Settings → Privacy & Security → Location Services → System Services → Toggle off "Location-Based Alerts", "Location-Based Suggestions", and "Apple Merchant ID". The Result: You completely sever the connection between your GPS hardware and Apple's internal marketing algorithms. You stop burning battery to get advertised to.

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  Pongsametrey S. (@pongsametrey) reported 41 minutes ago

  @GooglePlayBiz Why App review take too long, we got stuck by CA issue and have to wait too long compare to Apple Store, help to check app CoolApp Cambodia please.

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  idrin74 (@EdyVG74) reported 42 minutes ago

  @MrCreator1 No. I can’t use Apple Store. That s The point. I want To download apps and i can t because i can t put the account and login

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  Valerie Stables 🇨🇦Proud Western Canadian (@StablesValerie) reported 42 minutes ago

  At the Apple Store trying to replace my broken apple pencil under the Apple Care+ warranty. The warranty is active and covers accidental damage. I paid for the warranty at the same time i bought my ipad, pencil, and keyboard. I have the receipt and still a major hassle. /

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  Kat (@visiogene) reported 44 minutes ago

  @thevirdas @ZeptoNow @zeptocares I buy apple products at Apple Store or Apple web site only. Never had a problem.

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  Keisuke (@KeisukeIshikawa) reported 45 minutes ago

  DANIEL CHEN BURNED $14,000 A MONTH ON H100s UNTIL HE WALKED INTO AN APPLE STORE AND BOUGHT 1,000 MAC MINIS. his AI startup was getting magic output and a death certificate at the same time. the cloud bill was eating the runway faster than the product could earn revenue so daniel ran the math on running it locally. one $599 mac mini m4 pulls 10-20 watts, costs $3 a month in electricity, and runs 24/7 forever. one $599 box replaces a $200/month subscription he racked 1,000 of them into a single facility. the whole stack draws less power than one nvidia server while pushing the same throughput then in january 2026 ollama added the anthropic messages API. now claude code itself connects to your local mac mini with one environment variable. same interface, zero API costs apple stores ran out of mac minis the same month. $599 one time beats $200 a month forever and the market figured it out before the press did the window is open. follow and bookmark before it closes.

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  Carol ann Clark (@CarolannClhcjv) reported 47 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.

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  Prime AI (@primemans) reported 49 minutes ago

  The uncomfortable truth: Apple's business model rewards storage anxiety. The more often customers see "Storage Almost Full," the more likely they are to: 1. Pay for iCloud subscriptions 2. Upgrade to higher-storage models 3. Buy a new iPhone entirely Every default setting on a new iPhone trends in the direction of consuming more storage, not less. The 7 fixes above take 10 minutes total. They cost nothing. They will recover an average of 40-60 GB on most iPhones over 12 months old. The Apple Store employee said one more thing before he left: "We see this every day. Most people don't even check Settings → General → iPhone Storage before they walk in. They just assume the phone is too small for them. It almost never is." RT this so more iPhone users stop spending $1,000 on a storage problem that could be solved with 7 toggles.

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  FingerMan 🦁 (@kikiced84) reported 50 minutes ago

  @freecashcom hi 👋 app is no more available on apple store ? Is there any issue ?

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  DARK DECEPTION (@DarkDeceptionDD) reported 51 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.

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  James Yeung (@jamesyeung18) reported 51 minutes ago

  @aat_ai40683 Thanks bro. I actually took my mouse to the Apple Store and have them fix it for me! It now works fine!

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  Jami (@expertwith_AI) reported 52 minutes ago

  The uncomfortable truth: Apple's business model rewards storage anxiety. The more often customers see "Storage Almost Full," the more likely they are to: 1. Pay for iCloud subscriptions 2. Upgrade to higher-storage models 3. Buy a new iPhone entirely Every default setting on a new iPhone trends in the direction of consuming more storage, not less. The 7 fixes above take 10 minutes total. They cost nothing. They will recover an average of 40-60 GB on most iPhones over 12 months old. The Apple Store employee said one more thing before he left: "We see this every day. Most people don't even check Settings → General → iPhone Storage before they walk in. They just assume the phone is too small for them. It almost never is." RT this so more iPhone users stop spending $1,000 on a storage problem that could be solved with 7 toggles.

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  Chidanand Tripathi (@thetripathi58) reported 60 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.