MarketsMarketWatchJul 2, 2026· 1 min read
Fund Manager Shifts Portfolio to AI Hardware, Divests Software Holdings

Blue Whale Growth Fund manager Stephen Yiu acquired shares in AI hardware companies Nvidia and SK Hynix while divesting from software stocks. This strategic reallocation is driven by a 'follow the money' philosophy, anticipating immediate economic gains in AI infrastructure.
London-based Blue Whale Growth Fund, managed by Stephen Yiu, made notable portfolio adjustments by acquiring positions in AI-enabling hardware manufacturers Nvidia and SK Hynix. This strategic shift involved divesting from software stocks ahead of broader market movements. The fund manager emphasized a 'follow the money' approach to AI investment, suggesting that the most immediate and tangible economic benefits from the artificial intelligence boom are currently concentrated in the foundational infrastructure rather than applications.
The move reflects a conviction that the current phase of AI development necessitates significant capital expenditure in specialized semiconductors and memory components. Nvidia, a leader in AI graphics processing units (GPUs), and SK Hynix, a major producer of high-bandwidth memory (HBM) critical for AI accelerators, are direct beneficiaries of this infrastructure build-out. Conversely, the exit from software positions indicates a view that while software will ultimately leverage AI, its immediate economic capture is less certain or less pronounced than the hardware layer. This portfolio rebalancing could signal a broader trend among institutional investors anticipating a multi-year investment cycle in AI infrastructure, prioritizing companies providing the foundational technology to support the burgeoning AI ecosystem.
Analyst's Take
While this portfolio shift highlights a bet on AI infrastructure, the sustained outperformance of these hardware players depends on the actual deployment and monetization of AI applications, a potentially slower burn. The market may be overlooking the eventual profit-taking cycle in hardware as AI becomes more commoditized, potentially shifting value back towards integrated software solutions or specialized AI services in the mid-term.