Skip to main content
  1. Home
  2. Computing
  3. Phones
  4. News

The memory crisis isn’t going to ease, and you will pay the price for it, says a research firm

Forty to 50% higher this quarter, 30 to 40% more next quarter, and no real relief until 2028. Plan accordingly.

Add as a preferred source on Google
RAM memory chips
Sergei Starostin / Pexels

If you were hoping the memory crisis was about to ease up, I have some bad news for you. It comes directly from Wall Street.

Your next smartphone, laptop, or tablet could cost even more, regardless of whether it has recently been subject to a price hike.

So how bad is it actually going to get?

Investment bank Jefferies has laid out the clearest and ugliest forecast yet. 

Recommended Videos

Memory prices are expected to jump by 40-50% in the third quarter of 2026 compared with the current quarter. While it would have been great if they had stopped there, prices could rise by another 30-40% in the fourth quarter of the year. 

For all of 2027, Jefferies projects a 40-45% year-on-year increase. Based on those sequential estimates, we’re looking at a compounded price increase of roughly 150-205% between today and the end of 2027. If I were in the market for a new smartphone or laptop, I’d be worried.

The only real relief comes in 2028, when roughly 15-20% of new manufacturing capacity is expected to come online. Even then, demand for AI and computing will continue to grow simultaneously. In other words, the new supply may not stretch as far (via Wccftech).

What does this mean for the price of your next phone or laptop?

Research firm Gartner had separately predicted that combined DRAM and SSD prices could surge 130% by the end of 2026, pushing average PC prices up 17% and smartphone prices up 13% compared to 2025 levels. 

That 13%, when you do the math, on a $1,000 phone, amounts to an additional $130 on your bill. Gartner also warned that the entry-level PC segment, devices costing less than $500, could effectively disappear by 2028, simply because companies might not be able to recoup their component costs, let alone earn a healthy margin.

Making things worse, 50% of total memory capacity is already locked into long-term contracts with major tech firms, a figure that could increase even further to 70%, leaving even less supply for consumer devices (via CNBC). 

Shikhar Mehrotra
For more than five years, Shikhar has consistently simplified developments in the field of consumer tech and presented them…
Google’s new Magic Pointer Play Store listing reveals a Gemini shortcut built for Googlebooks
The unannounced app turns the cursor into a contextual AI tool for search, image creation, and shopping
Plant, Text, Business Card

Google has quietly published a new Play Store listing for Magic Pointer, an unannounced app built for Googlebooks. Updated on July 10, the app turns the cursor into a Gemini shortcut that can act on whatever a user selects on screen.

Magic Pointer can send an image to Lens, generate a related image, or surface a shopping action without forcing users to open a separate chatbot. Regular Android devices currently show as incompatible, so the listing offers an early preview rather than a broad release.

Read more
You can stop using AI, but this new report says you probably can’t escape it
A UK survey found that most people feel AI exposure is unavoidable, raising harder questions about consent, privacy, and whether opting out is still realistic
AI Chatbots

More people are trying to use less AI, but avoiding it altogether may already be impossible.

A survey of 2,055 UK adults found that 42% deliberately limit how much AI they use. Another 70% said avoiding AI exposure would be difficult or impossible, even when they actively wanted less of it.

Read more
The face on an AI interviewer may matter as much as the decision it makes
Researchers found that race and gender matching changed how fairly rejected applicants viewed an automated interview, even though everyone received the same outcome
File, Computer Hardware, Electronics

An AI hiring system can treat every applicant the same and still leave some people feeling targeted. Researchers found that rejected candidates judged an automated interview differently depending on the race and gender of the avatar delivering the result.

Around 220 participants completed a simulated interview for a fictional customer support role with one of four photorealistic AI avatars. Everyone was rejected, yet perceptions of fairness shifted with the interviewer’s appearance. An algorithm audit could miss that reaction because candidates don’t experience the system as raw code. They experience a face asking questions and judging their answers.

Read more