Samsung warns: memory chip shortage will deepen through 2027, with effects lasting into 2028

The global semiconductor industry is bracing for a prolonged period of imbalance between supply and demand. According to TechCrunch, Samsung estimates that the current memory chip shortage will keep worsening through 2027, with its effects expected to be felt in the market until at least 2028.

AI as the main driver of the crisis

The explanation behind this situation lies in the rapid expansion of data centers built for artificial intelligence projects. Major tech companies are investing heavily in infrastructure to support generative AI models, and this has created unprecedented demand for high-performance memory chips.

As a result, manufacturers like Samsung are under pressure to redirect production capacity toward advanced memory chips used in servers and AI accelerators, at the expense of standard memory intended for everyday consumers.

Global impact on prices

According to TechCrunch, this multi-year chip shortage is already driving up component costs, with consequences that translate directly into higher prices for consumer electronics. Phones, laptops and other devices that rely on DRAM or NAND memory could become more expensive in the medium term.

For manufacturers of finished devices, this situation creates a double burden: on one hand, they must manage higher production costs, and on the other, they risk having to pass these increases on to consumers at a time when the electronics market is already sensitive to price fluctuations.

What this means for businesses

For companies in the tech sector, Samsung's warning is a clear signal that massive investments in AI infrastructure will continue to reshape global semiconductor supply chains. Firms that depend on memory components for their own products should reassess their procurement strategies and long-term planning, given that this market tension does not appear to be temporary but rather a structural phenomenon tied to the ongoing expansion of artificial intelligence.

Industry analysts point out that as long as AI investment remains at high levels, pressure on chip production capacity will persist, and companies across all sectors will need to adjust their budgets and development plans accordingly.