A massive surge in demand for memory chips driven by artificial intelligence (AI) could significantly increase the cost of electronic devices in the coming years, according to Michael Dell, Chairman and CEO of Dell Technologies. The warning comes amid rising concerns over supply constraints and the rapid expansion of AI infrastructure worldwide.
AI boom to strain global memory supply
Speaking at a recent industry event hosted by Bank of America, Michael Dell highlighted that the demand for memory in AI systems is expected to grow at an unprecedented rate by 2028. He noted that the surge will be driven by the increasing complexity of AI workloads and the growing scale of data centres.
According to him, the structure of AI infrastructure is evolving in a way that simultaneously increases both the memory per system and the number of deployed systems. This dual growth is expected to create enormous pressure on global memory supply chains. He warned that memory manufacturers may struggle to keep pace, potentially leading to a situation where organisations are forced to pay significantly higher prices for essential components.
625-fold rise explained
Dell elaborated on the projected 625-fold increase in memory demand by breaking down the contributing factors. He explained that memory capacity per AI accelerator is expected to rise sharply—from around 80GB in 2022 to nearly 2TB in the coming years.
At the same time, the number of deployed AI accelerators is expected to increase by nearly 25 times as businesses across industries adopt AI technologies. When these two factors are combined, the total demand for memory could multiply by approximately 625 times.
This exponential growth is not limited to memory chips alone. The demand for high-performance processors such as GPUs is also expected to surge, as they are essential for handling large-scale AI computations. This, in turn, will further strain supply chains and drive up production costs.
Rising costs for gadgets and infrastructure
The anticipated shortage of memory chips is likely to have a direct impact on the pricing of consumer and enterprise electronics. Devices such as personal computers, smartphones, and AI-enabled hardware may become more expensive as manufacturers pass on increased component costs to customers.
Data centre infrastructure, which forms the backbone of AI development, is also expected to become costlier. Companies investing in AI technologies may face higher capital expenditure, potentially slowing down adoption in some sectors.
Dell emphasised that expanding memory production capacity is a time-consuming process that requires years of investment and development. Meanwhile, demand for AI systems continues to grow rapidly, creating a widening gap between supply and demand.
Industry faces critical inflection point
Experts believe that the semiconductor industry may soon reach a critical inflection point where supply constraints begin to significantly impact innovation and affordability. As AI becomes central to business operations, organisations may have limited options but to absorb rising costs.
Michael Dell also pointed out the importance of modern computing systems in the workplace. He remarked that it does not make sense for a highly paid knowledge worker to rely on outdated or inefficient hardware, reinforcing the inevitability of continued investment in advanced technology despite rising costs.
Conclusion
The projected explosion in AI-driven memory demand highlights both the opportunities and challenges facing the global technology sector. While AI promises transformative growth, the underlying hardware ecosystem must evolve rapidly to support it. Without significant expansion in memory production, the coming years could see higher costs for both businesses and consumers, reshaping the economics of digital innovation.