Whale Rock Capital Management, a prominent hedge fund, significantly reduced its exposure to chipmaker Nvidia (NVDA) during the second quarter. Regulatory filings reveal that Whale Rock decreased its Nvidia holdings from approximately 1.04 million shares to 377,204 shares, marking a substantial reduction of about 64% of its stake. This move signals a notable shift in the investment strategy of a major player within the artificial intelligence (AI) semiconductor sector.

This divestment appears to be a portfolio rebalancing rather than an outright bearish bet against Nvidia or the broader AI trend. Simultaneously, Whale Rock dramatically increased its stake in Advanced Micro Devices (AMD), from 69,211 shares to roughly 1.51 million shares. This suggests a strategic rotation away from what might be considered crowded AI trades, towards other semiconductor players and companies providing foundational AI infrastructure. The hedge fund also added or expanded positions in other tech firms like Apple (AAPL) and Microsoft (MSFT), as well as AI infrastructure providers such as Advanced Energy Industries (AEIS), Viavi Solutions (VIAV), and MKS Instruments (MKSI).

Despite Whale Rock’s sale, Nvidia’s underlying business fundamentals remain robust. The company currently boasts a market capitalization of $5.24 trillion, and its most recent quarterly revenue surged by 85% year-over-year, showcasing strong growth momentum. Furthermore, Nvidia’s board approved an additional $80 billion stock repurchase program in May, and its quarterly dividend was raised to $0.25 per share. Market analysts largely maintain a positive outlook, expecting further price appreciation for Nvidia stock.

Whale Rock’s decision highlights an evolving sentiment among some technology investors regarding AI-related assets. While a single hedge fund’s quarterly adjustments don’t necessarily dictate overall market sentiment, this move could indicate a broader diversification trend. Investors may be shifting focus from a few dominant AI giants towards the wider ecosystem of companies building the critical infrastructure that supports the AI boom. This suggests that while leading players like Nvidia are expected to continue their strong performance, capital flows could increasingly spread across the entire AI technology supply chain.