Apple users are being targeted by a familiar tech support scam


AI has made online scams harder to spot by making deepfakes, voice cloning, and fake messages more realistic. Even so, the old tech support scam is still catching victims. For years, fraudsters often posed as Microsoft support workers. Now, reports suggest many are shifting their attention to Apple users.

Consumers are reporting a rise in fake “Apple High Alert” messages that claim an iPhone, iCloud account, or Apple ID has been compromised. These messages are designed to make people panic and react quickly before they can stop to check whether the warning is real.

The alerts can appear as browser pop-ups, text messages, emails, or even phone calls from someone pretending to be Apple Support. They often warn of suspicious activity, an account lock, an unauthorized purchase, or a security breach.

How does the Apple High Alert scam work?

The fake warnings often urge users to click a link, call a number, or download software to secure their device. Once someone responds, scammers may try to steal Apple ID passwords, verification codes, banking details, or credit card information. In more serious cases, they may convince victims to install remote-access software, giving criminals control over the device.

The scam works because Apple accounts are tied to a lot of personal data, including photos, contacts, payments, passwords, and device backups. A convincing warning about losing access to that account can make people panic.

Gift cards are often part of these scams because they are difficult to trace once redeemed. Valve recently said it will stop selling physical Steam gift cards after scammers repeatedly used them to extract money from victims. Apple-themed scams can follow the same pattern, with criminals asking for gift cards or other hard-to-reverse payments.

How can Apple users stay safe?

Apple says users should be wary of unsolicited messages, calls, or pop-ups claiming urgent account problems. The company does not ask users to share passwords, verification codes, or gift card numbers to fix security issues.

The safest response is to avoid clicking links or calling numbers in unexpected messages. Instead, users should check their Apple account through Settings on their device or by visiting Apple’s official website directly. Two-factor authentication can also help protect an Apple ID if a password is exposed.



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Recent Reviews


YouTube has an AI slop problem, and its crackdown is catching legitimate creators in the crossfire. Faceless channels, where no human host ever appears on screen, have existed for years and are not inherently AI-generated.

Many are run by solo creators who simply prefer to stay anonymous. The problem is that AI tools made it easy to flood the platform with low-effort faceless content at scale, and YouTube’s algorithm is now penalizing the format as a whole.

How bad is the AI slop problem on YouTube?

A Kapwing study found that roughly 21% of the first 500 videos recommended to a new YouTube account were classified as AI slop, while 33% fell into a broader brainrot category. The problem extends to children, too, as more than 40% of YouTube Shorts recommended to kids in a 15-minute session contained low-quality AI content.

YouTube’s response has been to tweak its algorithm to favor videos with real human faces on camera, which is hitting faceless creators even when their content is entirely human-made.

How is YouTube tackling its AI slop problem?

YouTube is now testing a new pop-up on mobile that asks viewers to rate whether a video feels like AI slop, on a scale from “not at all” to “extremely.” The idea sounds reasonable, but crowdsourcing AI detection has real problems. People are bad at spotting AI content, and they are getting worse at it as AI capabilities continue to improve.

There are also legitimate concerns that YouTube could use this viewer feedback as training data for its own AI models, potentially making future AI-generated content even harder to spot.

🚨 Did you just see what YouTube did?

YouTube isn’t banning AI slop.. They’re making you label it so they can train their next model to not look like slop.

Read that again…

You flag the bad AI content. YouTube collects it. Google feeds it into Veo 4… Then next year their… https://t.co/8UC2J3mjjv pic.twitter.com/mIrTChqC1b

— Tuki (@TukiFromKL) March 17, 2026

Meanwhile, faceless creators are scrambling to adapt. According to The Hollywood Reporter, some are hiring cheap on-camera hosts through platforms like Fiverr and Upwork. Others are doubling down on niche educational content, which has held up better than broad content farms.

The AI text-to-video space is still valued at enormous sums, with Higgsfield AI alone sitting at $1 billion, but on YouTube, the math for faceless creators is getting harder to work out every month.



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