A Bloomberg Deep Dive: Why the AI Boom Is Making Your Next Phone and PC More Expensive

On March 9, Bloomberg published a detailed analysis explaining why the explosion in Artificial Intelligence is set to make smartphones and computers more expensive. The report highlights that the demand for AI is triggering a historic shortage of memory chips, and meeting this exponential growth in demand is not only costly but may even be unachievable in the short term.

 

A Bloomberg Deep Dive: Why the AI Boom Is Making Your Next Phone and PC More Expensive

 

Memory chip manufacturers have always dealt with the cyclical nature of supply and demand, but the current situation far exceeds normal market fluctuations. According to research firm IDC, the ongoing AI boom is putting such pressure on the supply chain that the current memory chip shortage is an "unprecedented crisis." With tech giants projected to increase their capital expenditures to a staggering $650 billion by 2026—an 80% surge from last year's record levels—it's clear that even with manufacturers expanding production, the shortage will likely persist for at least another year, if not longer.

Why Are Memory Chips So Important?

Memory chips are the bedrock of modern computing. While they don't perform calculations themselves, they store and feed data to the device's brain—the Central Processing Unit (CPU). They are essential components in everything from smartphones and gaming consoles to cars and AI data centers. Without them, digital systems would grind to a halt. The AI boom has spurred the development of a new type of DRAM packaging: High-Bandwidth Memory (HBM). This technology vertically stacks multiple layers of memory chips and places them next to the processor, dramatically increasing data transfer speeds. For example, while a traditional DDR5 chip takes over 10 seconds to transfer 1TB of data, a single HBM3 chip can do it about ten times faster. This speed is critical for AI systems, making HBM the hottest component in the AI supply chain.

 

A Bloomberg Deep Dive: Why the AI Boom Is Making Your Next Phone and PC More Expensive

 

The Reasons for the Chip Shortage

As AI models become larger and more complex, servers require not only more HBM but also more traditional DRAM and NAND chips to handle training data and support cloud computing workloads. Since 2023, tech giants like Amazon, Alphabet, Microsoft, and Meta have committed hundreds of billions of dollars to expand their data centers and computing power. According to Bloomberg Intelligence, data centers' demand for DRAM has soared to about 50% of global consumption in 2025, a significant jump from 32% five years ago. This share is expected to continue climbing, with AI servers potentially consuming over 60% of the world's DRAM by 2030.

 

A Bloomberg Deep Dive: Why the AI Boom Is Making Your Next Phone and PC More Expensive

 

Why Is It So Hard to Increase Chip Production?

The global memory market is dominated by three companies: Samsung Electronics, SK Hynix, and Micron Technology. While these firms are investing billions to expand capacity, building and equipping new production lines takes years. HBM chip manufacturing presents unique challenges; it involves stacking multiple chips thinner than a human hair with micron-level precision. This difficult process leads to lower efficiency and yield rates compared to traditional DRAM. Furthermore, manufacturers are cautious. Having suffered massive losses during past boom-and-bust cycles, they are wary of oversupplying the market. This means capacity expansion is likely to be more conservative than many customers would hope for.

The Impact: Price Hikes

For consumer electronics companies, the supply crunch translates to higher product costs, narrower profit margins, and potentially slower product upgrades. Memory manufacturers are prioritizing their capacity for the more profitable HBM chips demanded by AI firms. This reduces the output of conventional DRAM used in mainstream devices, effectively pushing manufacturers of smartphones, PCs, and gaming consoles to the back of the line. The result is a sharp increase in manufacturing costs. HP reports that memory now accounts for about 35% of a laptop's material cost, up from 15-18% just a quarter ago. Consequently, companies like HP and Dell are raising PC prices. This pressure extends to smartphones, with costs potentially rising by 15% or more, and gaming consoles, where companies like Sony and Nintendo have warned of impacts on pricing and future product launches.

In conclusion, the AI revolution is creating a significant supply-demand imbalance in the memory chip market. As AI companies secure the lion's share of advanced, high-profit memory, the supply of conventional chips for consumer devices tightens. This supply shock is directly passed on to consumers through higher prices for phones, computers, and other gadgets, a trend that is expected to continue for the foreseeable future.

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