It looks like Apple will treat you to a $200 price hike on the iPhone 18 Pro, after all


Apple’s Mac and iPad prices went up this week, by a good margin, no less, and the memory crisis behind them isn’t going anywhere anytime soon. 

The obvious next question is what happens to the iPhone 18 Pro, which is expected to arrive later this year. IDC has an answer, and you might not like it (via MacRumors).

So what exactly is IDC predicting for iPhone 18 Pro pricing?

The Senior Director of Data and Analytics at IDC, Nabila Popal, says Apple’s recent price increases have significantly raised IDC’s price estimate for the iPhone 18 Pro models. 

Previously, the research firm estimated a $100 price increase for Pro models, along with a not-so-bad $50 increase for the base iPhone 18. However, after watching Apple raise Mac and iPad prices by up to $300 on some models, Popal revised the prediction upward. 

“My personal instinct says the hike to iPhones may be even higher than what we assumed, perhaps even $200 to the Pro/Pro Max models,” she said. “I think the days of $50 price increases are over.” 

How did IDC arrive at that estimate?

At $200 more, the iPhone 18 Pro would open at $1,299, and the Pro Max at $1,399. 

To arrive at this estimate, IDC referred to other devices with 12GB of RAM and the hike that they received. The M4 iPad Air went up by $150, for instance, and the lower-tier M5 iPad Pro went up by $200. 

Further, if you look at configurable products now, it takes you twice as long to upgrade to the next memory tier as it did before. IDC thinks Apple may follow a similar formula for the upcoming Pro iPhones. 

Both pieces of evidence indicate an impending price hike for the iPhone 18 Pro later this year, and $200 seems quite plausible to me. 



Source link

Leave a Reply

Subscribe to Our Newsletter

Get our latest articles delivered straight to your inbox. No spam, we promise.

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.



Source link