In Monday morning trading, several prominent artificial intelligence-focused exchange-traded funds experienced modest declines, signaling a shift in investor strategy within the high-growth sector. The Vanguard Information Technology ETF (VGT) dipped approximately 1.0%, the Roundhill Generative AI & Technology ETF (CHAT) fell 1.1%, and the Global X Artificial Intelligence & Technology ETF (AIQ) retreated 0.8%. This movement reflects a broader reassessment of how to gain exposure to the AI theme, with market participants increasingly looking beyond the dominant software and platform companies toward the underlying hardware and infrastructure suppliers.
Broadening the AI Investment Horizon
The conversation among fund managers and analysts is pivoting from a narrow focus on megacap technology leaders to a more diversified "value-chain" approach. This strategy involves investing in companies that provide the essential components powering AI systems, such as semiconductors, memory, fiber optics, and connectors. Names like Taiwan Semiconductor Manufacturing Company (TSMC), Micron Technology, Corning, and Amphenol are moving up watchlists as investors seek to capitalize on the entire AI ecosystem rather than just its most visible beneficiaries.
This rotation is occurring against a backdrop of strong overall inflows into U.S. equity funds, which attracted $37.24 billion for the week ending March 25. However, technology sector funds bucked this trend, experiencing net outflows of $1.45 billion. The shift underscores growing investor caution regarding the valuations of pure-play AI stocks and questions about the timeline for major cloud providers to translate their massive capital expenditures into tangible financial returns. Notably, Nvidia's forward price-to-earnings ratio has recently fallen to its lowest level since early 2019.
ETF Strategies Diverge
The market offers a spectrum of vehicles for AI exposure, each with a distinct philosophy. For investors seeking broad, low-cost technology exposure, Vanguard's VGT remains a cornerstone holding. The ETF, which tracks a U.S. information technology benchmark, charges a minimal 0.09% annual fee. Vanguard recently announced an 8-for-1 stock split for VGT, effective April 21, which will reduce its per-share price while leaving the underlying portfolio unchanged.
On the more concentrated end, Roundhill's CHAT ETF represents a high-conviction bet on the generative AI stack, carrying a 0.75% expense ratio. As of the end of 2025, its top holdings included Alphabet, Nvidia, Microsoft, Meta Platforms, and SK Hynix. Meanwhile, Global X's AIQ, with $7.12 billion in assets as of March 27, follows an artificial intelligence and big data index. Its largest positions are in hardware-centric companies like SK Hynix, Samsung Electronics, TSMC, Nvidia, and Micron, reflecting a focus on "where the revenues are right now" in the AI infrastructure build-out.
Other funds are designed to enforce diversification. The Amplify AI Value Chain ETF (AIVC), for instance, tracks the Bloomberg AI Value Chain Index and evenly weights its assets across 45 stocks for a 0.59% fee. This structure provides balanced exposure to semiconductors, cloud software, and hardware suppliers, preventing overconcentration in a handful of giant platform companies.
Valuation and Concentration Concerns
Concentration risk remains a key consideration for investors. Data from Yahoo Finance shows that VGT's three largest holdings—Nvidia (18.07%), Apple (15.84%), and Microsoft (10.39%)—comprise a significant portion of the fund. Analysts continue to debate when tech giants like Microsoft, Alphabet, and Amazon will see sufficient returns on their enormous AI investments to justify current valuations. Glenmede's Michael Reynolds has noted that valuations for AI-exposed stocks are "getting a bit rich," adding to the caution.
Despite these concerns, the momentum behind AI infrastructure spending shows no signs of abating. A wave of substantial agreements involving Nvidia, Meta, OpenAI, and others points to continued investment. However, Bridgewater's Greg Jensen has warned that the frenzy may be entering a "more dangerous phase," characterized by soaring hard construction costs and an increasing reliance on external financing.
The debate on Wall Street is no longer about whether AI is investable, but about identifying the most effective approach. The choice now lies between broad, low-cost U.S. technology ETFs like VGT, more focused generative AI funds such as CHAT, or thematic vehicles targeting the essential but less-heralded suppliers in semiconductors, memory, and connectivity that form the backbone of the AI revolution.
