The rapid expansion of artificial intelligence in recent years has placed unprecedented pressure on the semiconductor industry, particularly on the market for AI memory chips. As demand surges, the world’s largest technology companies are rushing to secure production capacity years in advance, while manufacturers respond with record-breaking investments. Despite expectations of eventual stabilization, high energy costs, intensifying Chinese competition and the risk of oversupply continue to cloud the outlook.
The AI investment boom has not only propelled the shares of companies like Nvidia but has also fundamentally reshaped the memory chip market. South Korean giants SK Hynix and Samsung Electronics say the rapid expansion of AI data centres has created sustained demand unlike previous semiconductor cycles. Buyers are no longer negotiating prices, they are seeking to lock in supply for years ahead.
At the centre of this shift are memory technologies such as DRAM and high-bandwidth memory (HBM), which are essential for running large language models and data centre inference systems. Without them, AI systems cannot operate efficiently. However, supply is struggling to keep pace with demand.
SK Hynix, a key supplier to Nvidia and the world’s second-largest memory chipmaker, has described the current moment as a ‘structural shift’ in the industry. Customers are increasingly pursuing long-term contracts spanning three to five years, replacing the short-term agreements that once dominated the market. The fear of shortages has effectively handed pricing power to suppliers.
For decades, the memory chip market was defined by extreme volatility. Periods of oversupply, price collapses and losses followed by sudden shortages and price spikes. Now, demand is being driven not by cyclical consumer electronics sales but by the vast financial resources of major technology companies such as Microsoft, Amazon, Google and Meta, all competing for dominance in AI.
This has created what some executives describe as an unprecedented ‘supercycle’. Samsung has announced massive investment plans, committing around 110 trillion won to expand production capacity and research. SK Hynix is also increasing capital expenditure, while analysts expect supply constraints to persist until at least 2028 due to the time and complexity involved in building advanced semiconductor facilities.
The market concentration further strengthens producers’ position. Samsung, SK Hynix and Micron Technology together control roughly 90 per cent of the global DRAM market, giving them significant pricing power. Profit margins have already surged, with SK Hynix reporting operating margins above 70 per cent and Samsung’s memory division also achieving exceptionally high returns.
The implications extend far beyond the tech sector. AI-driven investment is reshaping the global economy, with spending on infrastructure expected to reach hundreds of billions of dollars annually. This wave of investment is stimulating industries ranging from construction to energy.
At the same time, semiconductor shortages have become a macroeconomic concern. Insufficient chip supply can delay data centre projects, slow cloud development and increase costs for businesses, ultimately affecting productivity growth. Previous chip shortages in the automotive sector demonstrated how even minor supply disruptions can halt entire industries, AI could amplify such effects on a much larger scale.
Memory chips are increasingly being viewed as a strategic resource, comparable to oil or natural gas in earlier eras. This shift is evident in the growing geopolitical tensions surrounding semiconductor supply chains, particularly between the United States and China. Export controls, domestic manufacturing subsidies and supply chain restructuring all point to the rising importance of chip independence.
The boom is also influencing energy markets. AI data centres require enormous amounts of electricity, meaning rising chip demand is closely tied to increasing energy consumption. If energy prices remain high, technology companies may be forced to scale back investments, potentially triggering wider market corrections.
Looking ahead, the next major question is whether AI will move beyond data centres into everyday devices. If on-device AI becomes widespread, it could trigger another surge in demand for memory chips. In that scenario, these components would no longer be seen as simple hardware elements but as critical pillars of global digital infrastructure.
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