UBS Strategist Says Memory Has Longer Legs in AI Trade
UBS Global Wealth equity strategist Nadia Lovell says memory is a stickier, structural AI story with longer legs, suggesting sustained demand for memory chips and related equities.
Nadia Lovell, Head of Global Equity Strategy at UBS Global Wealth, says memory is a stickier, structural story for artificial intelligence with longer legs within the trade. Speaking on Bloomberg's "Open Interest," Lovell highlighted that memory components, such as high-bandwidth memory (HBM) and DRAM, are critical to AI infrastructure and face sustained demand as AI models grow more complex.
Memory stocks have outperformed broader semiconductor indices this year, driven by hyperscaler spending on AI data centers. Companies like SK Hynix, Samsung, and Micron are key beneficiaries, as HBM becomes essential for training large language models. For equities traders, this structural demand suggests that memory-related names may offer more durable growth compared to other AI segments that face cyclical headwinds. Investors can track real-time prices of these stocks on NowPrice to gauge market sentiment.
Looking ahead, Lovell's comments align with expectations of continued capital expenditure from cloud providers and enterprise AI adoption. Key data points to watch include upcoming earnings from memory manufacturers, particularly guidance on HBM pricing and volume. Additionally, any shifts in AI chip architecture or trade restrictions on memory exports could alter the trajectory. The structural nature of this story implies that memory may remain a core theme for equity investors through the next several quarters.