Phone makers are rolling budget smartphones back to the 2010s to hold prices, and AI data centers are to blame

Budget smartphones are regressing by 8–10 years: big camera cutouts and minimal RAM are coming back. The culprit is a component shortage, as AI data centers buy parts in bulk. Manufacturers chose to degrade design rather than raise prices.

AI-processed from CNews AI; edited by Hamidun News
Phone makers are rolling budget smartphones back to the 2010s to hold prices, and AI data centers are to blame
Source: CNews AI. Collage: Hamidun News.
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Article Fact Sheet & Key Figures
ParameterDetails
Primary sourceCNews AI ↗
Editor-in-Chief
Key metric #1Big black notches instead of near-invisible cutouts
Key metric #22–4 GB of RAM instead of the current 8–12 GB
Key metric #3Slow processors instead of flagship SoCs

Smartphone makers are rolling back device design and capabilities by 8–10 years. Big camera cutouts, minimal RAM and weak processors are not a retro trend but a forced measure. The cause is the race by data centers for components used to train AI models.

Data centers are devouring electronics

Training large language models requires thousands of GPUs running at the same time. OpenAI, Google, Meta, Microsoft are building huge compute clusters and buying components at a scale that has rewritten the economics of semiconductors. NVIDIA, Intel and TSMC are filling orders worth billions of dollars.

As a result, fewer components are left for the consumer market. Prices for the remaining hardware are rising exponentially. Smartphone makers faced a choice: raise prices and lose market share, or simplify their devices.

Smartphones retreat a decade

Most chose degradation. Technologies from 2010–2015 have returned to new budget phones:

  • Big black notches instead of near-invisible cutouts
  • 2–4 GB of RAM instead of the current 8–12 GB
  • Slow processors instead of flagship SoCs
  • Simplified cooling systems
  • Modest built-in storage

These choices let makers hold the price in the $150–250 range. Users get a device whose performance is closer to a 2015 smartphone, but in a modern body. The paradox: a 2026 phone looks modern but runs like an ancient one.

AI has rewritten the entire supply chain

This is not a temporary phenomenon. NVIDIA, Intel and TSMC say openly that demand for data center components will only grow. Each new generation of LLMs needs more GPUs, more memory, more bandwidth.

The consumer smartphone market is growing more slowly, since people are in no hurry to upgrade their phones every year. Data centers, by contrast, literally eat up raw materials. Chipmakers follow the money, and the big money is in data centers. The consumer segment becomes what is left over once the server market is saturated.

What this means

We live in strange times: AI keeps getting more powerful, while the electronics in people's hands get poorer. Rolling smartphones back 10 years is not a design decision but an economic necessity. It shows how one revolution (AI) breaks the habits of another market (consumer electronics).

As long as data centers absorb GPUs, pockets will hold smartphones with weak processors and notches from the iPhone X era.

*Meta has been designated an extremist organization and is banned in Russia.

Story

Key Questions Answered

What are the key details on Data centers are devouring electronics?

Training large language models requires thousands of GPUs running at the same time. OpenAI, Google, Meta, Microsoft are building huge compute clusters and buying components at a scale that has rewritten the economics of semiconductors. NVIDIA, Intel and TSMC are filling orders worth billions of dollars. As a result, fewer components are left for the consumer market. Prices for the remaining hardware are rising exponentially. Smartphone makers faced a choice: raise prices and lose market share, or simplify their devices.

What are the key details on Smartphones retreat a decade?

Most chose degradation. Technologies from 2010–2015 have returned to new budget phones: Big black notches instead of near-invisible cutouts 2–4 GB of RAM instead of the current 8–12 GB Slow processors instead of flagship SoCs Simplified cooling systems Modest built-in storage These choices let makers hold the price in the $150–250 range. Users get a device whose performance is closer to a 2015 smartphone, but in a modern body. The paradox: a 2026 phone looks modern but runs like an ancient one.

What are the key details on AI has rewritten the entire supply chain?

This is not a temporary phenomenon. NVIDIA, Intel and TSMC say openly that demand for data center components will only grow. Each new generation of LLMs needs more GPUs, more memory, more bandwidth. The consumer smartphone market is growing more slowly, since people are in no hurry to upgrade their phones every year. Data centers, by contrast, literally eat up raw materials. Chipmakers follow the money, and the big money is in data centers. The consumer segment becomes what is left over once the server market is saturated.

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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