Global X has officially expanded its thematic fund lineup with the launch of the Global X LLM ETF (LLMA), which explicitly targets the burgeoning market of large language models. Operating with a 0.75% expense ratio, this actively managed fund seeks to capture capital appreciation by investing in companies building foundational AI engines.
This market introduction arrives alongside interesting portfolio shifts within the issuer’s older, broader flagship funds. Investors seeking deep insights into these portfolio reallocations can consult various optics articles to stay updated on technological trends.
Unpacking AI Fund Holdings
Global X’s popular AI ETF (AIQ) displays a surprising asset distribution that diverges from mainstream market assumptions about artificial intelligence leaders. Rather than placing prominent chip designers at the very top, the fund positions Nvidia further down its holdings list at 13th place, representing just 2.7% of its total assets.
The Dominance of Hardware Infrastructure
Instead, the top spot in the AIQ fund belongs to South Korea’s SK Hynix, commanding a robust 7.1% share of net assets. Memory chipmakers heavily dominate the rest of the portfolio, with Micron Technology sitting securely as the largest U.S. company represented.
Additional major holdings include Samsung Electronics, Intel, and Cisco, showcasing a clear structural tilt toward hardware infrastructure. This heavy memory focus has thrived thanks to a persistent supply squeeze, which has driven significant year-to-date gains across major tech stocks.
Navigating New Fund Risks
Because leading model developers like OpenAI and Anthropic remain private enterprises, public investment funds must pivot toward listed hardware and tech companies. The arrival of LLMA provides fresh choices for portfolios, though it currently operates without a fully established performance track record or published portfolio.
New thematic investment products inherently carry risks such as thin early trading volumes and volatile price swings. Financial experts recommend that market participants carefully audit fund expense ratios and underlying assets to guarantee proper alignment with their intended artificial intelligence exposure.
Here is the source article for this story: NVIDIA Is the 8th Biggest Holding in the Most Popular AI ETF. What’s Number One?
