The emblem of an Apple Retailer is seen mirrored on the glass exterior of a Samsung flagship retailer in Shanghai, China Monday, Oct. 20, 2025.
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The price of your smartphone may rise, analysts are warning, because the AI growth clogs up provide chains and a current change by Nvidia to its merchandise might make it worse.
AI knowledge facilities, on which tech giants globally are spending a whole bunch of billions of {dollars}, require chips from suppliers, like Nvidia, which depends on many alternative parts and firms to create its coveted graphics processing models.
However different corporations like AMD, the hyperscalers like Google and Microsoft, and different element suppliers all depend on this provide chain.
Many elements of the provision chain cannot sustain with demand, and it is slowing down parts which might be crucial for a number of the world’s hottest client electronics. These parts are seeing large spikes in costs, threatening value rises for the top product and will even result in shortages of some gadgets.
“We see the fast improve in demand for AI in knowledge facilities driving bottlenecks in lots of areas,” Peter Hanbury, companion within the know-how follow at Bain & Firm, instructed CNBC.
The place is the provision chain clogged?
One of many starkest assessments got here from Alibaba CEO Eddie Wu, CEO of Chinese language tech big Alibaba.
Wu, whose firm is constructing its personal AI infrastructure and designs its personal chips, stated final week that there are shortages throughout semiconductor producers, reminiscence chips and storage gadgets like arduous drives.
“There’s a state of affairs of undersupply,” Wu stated, including that the “provide aspect goes to be a comparatively massive bottleneck.” He added this might final two to a few years.
Bain and Co.’s Hanbury stated there are shortages of arduous disk drives, or HDDs, which retailer knowledge. HDDs are used within the knowledge middle. These are most popular by hyperscalers,: massive corporations like Microsoft and Google. However, with HDDs at capability, these companies have shifted to utilizing solid-state drives, or SSDs, one other kind of storage machine.
Nonetheless, these SSDs are key parts for client electronics.
The opposite massive focus is on a kind of chip underneath the umbrella of reminiscence known as dynamic random-access reminiscence or DRAM. Nvidia’s chips use high-bandwidth reminiscence which is a kind of chip that stacks a number of DRAM semiconductors.
Reminiscence costs have surged on account of the large demand and lack of provide. Counterpoint Analysis stated it expects reminiscence costs to rise 30% within the fourth quarter of this yr and one other 20% in early 2026. Even small imbalances in provide and demand can have main knock on results on reminiscence pricing. And due to the demand for HBM and GPUs, chipmakers are prioritizing these over different forms of semiconductors.
“DRAM is definitely a bottleneck as AI investments proceed to feed the imbalance between demand and provide with HBM for AI being prioritized by chipmakers,” MS Hwang, analysis director at Counterpoint Analysis, instructed CNBC.
“Imbalances of 1-2% can set off sharp value will increase and we’re seeing that determine hitting 3% ranges in the meanwhile – that is very vital.”
Why are there points?
Build up capability in varied areas of the semiconductor provide chain could be capital-intensive. And it is an trade that is identified to be risk-averse and didn’t add the capability crucial to satisfy the projections offered by key trade gamers, Bain & Co.’s Hanbur stated.
“The direct explanation for the scarcity is the fast improve in demand for knowledge middle chips,” Hanbury stated.
“Mainly, the suppliers fearful the market was too optimistic and they didn’t need to overbuild very costly capability so they didn’t construct to the estimates offered by their prospects. Now, the suppliers want so as to add capability shortly however as we all know, it takes 2-3 years so as to add semiconductor manufacturing fabs.”
Nvidia on the middle
A whole lot of consideration is on Nvidia given it dominates on the subject of the chips which might be being put into AI knowledge facilities.
It’s a large buyer of excessive bandwidth reminiscence, for instance. And its merchandise are manufactured by TSMC which additionally has different main prospects like Apple.
However analysts are targeted on a change Nvidia has made to its merchandise that has the potential so as to add main stress to client electronics provide chains. The U.S. big is more and more shifting towards utilizing a kind of reminiscence in its merchandise known as Low-Energy Double Information Fee (LPDDR). That is seen as extra energy environment friendly than the earlier Double Information Fee, or DDR reminiscence.
The issue is, Nvidia is more and more utilizing the most recent era of LPDDR reminiscence, which can also be utilized by high-end client electronics makers similar to Samsung and Apple.
Sometimes, the trade would simply be coping with demand for this product from a handful of huge electronics gamers. However now Nvidia, which has large scale, is coming into the combination.
“We additionally see a much bigger threat on the horizon is with superior reminiscence as Nvidia’s current pivot to LPDDR means they seem to be a buyer on the size of a serious smartphone maker — a seismic shift for the provision chain which may’t simply soak up this scale of demand,” Hwang from Counterpoint Analysis stated.
How AI growth is impacting client electronics
This is the hyperlink between all of this.
From chip producers like TSMC, Intel and Samsung, there’s solely a lot capability. If there’s large demand for sure forms of chips, then these corporations will prioritize these, particularly from their bigger prospects. That may result in shortages of different forms of semiconductors elsewhere.
Reminiscence chips, specifically DRAM which has seen costs shoot up, is of specific concern as a result of it is utilized in so many gadgets from smartphones to laptops. And this might result in value rises on this planet’s favourite electronics.
DRAM and storage signify round 10% to 25% of the invoice of supplies for a typical PC or smartphone, in accordance with Hanbury of Bain & Co. A value improve of 20% to 30% in these parts would improve the full invoice of supplies prices by 5% to 10%.
“When it comes to timing, the influence will probably begin shortly as element prices are already rising and sure speed up into subsequent yr,” Hanbury stated.

On high of this, there’s now demand from gamers concerned in AI knowledge facilities like Nvidia, for parts that will have usually been used for client gadgets similar to LPDDR which provides extra demand to a provide constrained market.
If electronics companies cannot get their arms on the parts wanted for his or her gadgets as a result of they’re briefly provide or going towards AI knowledge facilities, then there could possibly be shortages of the world’s hottest devices.
“Past the rise in value there is a second problem and that is the shortcoming to safe sufficient parts, which constrains the manufacturing of digital gadgets,” Counterpoint Analysis’s Hwang stated.
What are tech companies saying?
Quite a few electronics corporations have warned in regards to the influence they’re seeing from all of this.
Xiaomi, the third-biggest smartphone vendor globally, stated it expects that buyers will see “a sizeable rise in product retail costs,” in accordance with a Reuters reported this month.
Jeff Clark, chief working officer at Dell, this month stated the value rises of parts is “unprecedented.”
“We now have not seen prices transfer on the price that we have seen,” Clark stated on an earnings name, including that the stress is seen throughout varied forms of reminiscence chips and storage arduous drives.
The unintended penalties
The AI infrastructure gamers are utilizing related chips to these being utilized in client electronics. These are sometimes a number of the extra superior semiconductors available on the market.
However there are legacy chips that are manufactured by the identical corporations that the AI market is counting on. As these producers shift consideration to serving their AI prospects, there could possibly be unintended penalties for different industries.
“For instance, many different markets rely upon the identical underlying semiconductor manufacturing capabilities as the information middle market” together with cars, industrials and aerospace and protection, which “will probably see some influence from these value will increase as properly,” Hanbury stated.

