7 min read
7 min read

If you’re planning to grab a budget Android in 2026, analysts say you should brace yourself. The sticking point is memory. DRAM is a key part of the bill of materials for most phones, and supply is tightening just as demand is surging elsewhere.
When memory costs rise, low-end phones have the least room to absorb it. That is why average selling prices could tick up even if features barely change.

Here is the awkward reality. The AI boom is pushing memory makers to prioritize high-margin server parts, including high-bandwidth memory and high-capacity DDR5 modules. That shift leaves less capacity for producing the conventional DRAM and NAND used in phones and laptops.
It is not a one-quarter hiccup. Analysts describe it as a strategic reallocation that can persist, as the economics are simply more favorable in data centers.

IDC’s scenarios show upward pressure on smartphone average selling prices in 2026, with ASPs potentially rising to around $465 across several cases, while global shipments may dip by roughly 1 percent in baseline scenarios and more in downside cases.
That may not sound dramatic until you remember how competitive the low end is. A slight increase in component costs can ripple into fewer discounts, fewer upgrades, and fewer headline-grabbing deals.

Vendors that win on value tend to run razor-thin margins, and IDC argues they will have few options besides passing higher costs along. Think TCL, Transsion, Realme, Xiaomi, Lenovo, Oppo, Vivo, Honor, or Huawei.
When memory becomes more expensive, they can raise prices, trim specifications, or both. Either way, shoppers may notice that last year’s bargain configuration is suddenly more complex to match.

If you’re shopping at the higher end of the market, the story is less brutal. IDC notes that Apple and Samsung have deep cash reserves and long-term supply agreements that enable them to lock in memory months in advance, often a year or two ahead.
That does not make their phones cheap. It means they can better smooth out short-term spikes than smaller rivals, and they can choose when to pass increases along.

One subtle consequence is spec stagnation. Analysts expect top-tier models to be more conservative with RAM upgrades in 2026, opting for familiar configurations rather than jumping to larger numbers.
If you were hoping that every new Pro phone would leap from 12 to 16 gigabytes, do not count on it. Holding the line on memory is an easy way to protect margins without changing the design.

Usually, last year’s premium phone becomes this year’s sweet spot as prices slide after the new model arrives. IDC warns that a memory squeeze could blunt that price erosion in 2026.
If manufacturers are paying more for components, they are less inclined to dispose of older inventory. For shoppers, that can feel like the ladder moved up. The phone is the same, but the deal is not.

When phones cost more, people tend to stretch their usage longer. IDC’s downside outlook includes the risk of a global smartphone market contraction in 2026, with shipments potentially falling by a few percent or more in a pessimistic scenario.
That matters because it becomes a loop. Slower upgrades reduce volume, which in turn reduces bargaining power. This reduced bargaining power makes it harder for brands to offer aggressive pricing in the next cycle.

This is not just a phone problem. IDC also expects PC average selling prices to rise, roughly 4 to 6 percent in a moderate scenario and up to about 6 to 8 percent in a pessimistic one.
Shipments could decline significantly if costs rise while consumers remain hesitant. The takeaway is broader. Memory is a shared bottleneck across consumer tech, and AI infrastructure demand is putting pressure on all of it.

There is an irony here I cannot ignore. The industry is marketing AI PCs, but those machines typically want more memory, not less. Some platforms set a sixteen-gigabyte floor, and premium designs target thirty-two or more.
That is great for performance and local AI features, but terrible timing when DRAM is tightening. It turns an upgrade pitch into a higher-priced proposition many buyers never asked for.

Console fans may also feel the spillover. Industry reports and analysts warn that rising DRAM prices are increasing production costs for game hardware and may make publishers more cautious about expensive physical releases.
Nintendo watchers, for example, have highlighted higher cartridge and memory costs that could keep some games from getting entirely physical editions. It is another reminder that the AI boom is not confined to servers. It reaches into the fun stuff, too.

If you know you will upgrade soon, timing and trade-offs matter. Watch for earlier sales windows rather than waiting for prices to fall later. Consider refurbished or last-gen models while they are still discounted.
Prioritize the specs you actually feel day to day, like battery health and storage, over bragging-rights RAM numbers. And compare total cost, including carrier fees and warranty coverage, not just the sticker price.
If you’re weighing costs and wondering what’s really driving tech prices right now, our breakdown of why GPU prices are still high and when they might finally drop provides helpful context before you make a decision.

The critical point is not that phones are doomed to become luxury items. It is that AI infrastructure is changing where the profits are, so memory makers redirect capacity toward enterprise products.
That can keep DRAM tight for longer than a typical cycle. In 2026, we may see higher average prices, slower spec growth, and longer replacement cycles. The new normal is that your phone competes with a data center.
And if you’re curious about how those same infrastructure shifts are reshaping everyday connectivity, take a look at how T-Mobile’s latest update lets iPhone and Android apps link up via satellite. It’s a glimpse of what this new normal could look like.
What do you think about smartphone prices potentially rising because of the AI boom and higher memory demand? Share your thoughts in the comments.
This slideshow was made with AI assistance and human editing.
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Dan Mitchell has been in the computer industry for more than 25 years, getting started with computers at age 7 on an Apple II.
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