Investors
Citi is positioning artificial intelligence infrastructure as one of the defining themes shaping global technology markets, with its latest research highlighting a potential long-term shortage in critical memory components. For institutional investors and wealth managers, the analysis reflects a broader shift: major financial institutions are increasingly evaluating AI not only as a technology trend but as a structural transformation of global capital investment.
According to Citi’s research, the expansion of AI systems — particularly models capable of continual learning — is expected to significantly increase demand for high-bandwidth memory (HBM), DRAM and NAND storage. The bank forecasts that memory requirements will accelerate as artificial intelligence systems require greater capacity to process, store and retain increasingly complex information.
Citi estimates that HBM demand could increase substantially through 2028, driven by the growing requirements of advanced AI processors. The bank also expects enterprise storage demand to rise as organizations require additional infrastructure to support AI workloads.
For global investors, Citi’s assessment highlights an important strategic consideration: AI development depends not only on software innovation but also on the physical infrastructure that enables computing power.
The investment bank’s analysis points to a widening gap between memory demand and available supply. Citi expects DRAM and NAND demand growth to outpace supply expansion in coming years, creating potential pressure across the semiconductor value chain.
This imbalance places increased importance on companies involved in memory manufacturing, semiconductor equipment and advanced technology materials. Citi identified several major industry participants across these segments as companies positioned within the broader AI infrastructure ecosystem.
From a banking perspective, this type of research reflects how financial institutions are expanding their role beyond traditional market coverage. Leading global banks are increasingly providing clients with thematic analysis connecting technology trends, industrial capacity and long-term investment flows.
The significance of Citi’s forecast extends beyond semiconductor companies. The bank’s analysis illustrates how AI investment is reshaping global capital allocation, influencing corporate spending, supply chains and strategic planning across industries.
For high-net-worth investors, understanding these structural themes is essential when evaluating exposure to global innovation cycles. The AI ecosystem is becoming increasingly dependent on infrastructure providers, creating new considerations around concentration risk, valuation discipline and long-term sustainability.
Citi’s research reinforces the view that artificial intelligence will require substantial physical investment before reaching its full economic potential. As banks continue mapping these developments, investors gain deeper insight into how technological shifts may influence global markets and wealth strategies.
For a confidential discussion regarding global investment themes, technology-driven market shifts or cross-border wealth allocation strategies, contact our senior advisory team.
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