The $700 Billion Spending Cycle That Will Define AIQ’s Next 12 Months

The Global X Artificial Intelligence & Technology ETF (NASDAQ:AIQ | AIQ Price Prediction) tries to solve a problem most retail investors run into when they try to express an AI thesis: picking the right name. Buy a chipmaker and you miss the cloud platforms. Buy a hyperscaler and you miss the foundry layer. AIQ tracks the Indxx Artificial Intelligence & Big Data Index, bundling roughly 95 equity positions spanning U.S. mega-caps, Asian memory and foundry suppliers, and emerging AI software for a 68 basis point expense ratio.

The fund has worked. AIQ trades near $56, up 20% in the past month and 52% over the past year. Net assets sit at $6.97 billion. Reddit threads on the underlying names show the bull/bear split clearly: a recurring r/investing post titled “is anyone actually making money from AI or is it just the chip sellers?” drew 337 upvotes and 283 comments, capturing the skepticism that runs alongside the buying.

The macro factor: hyperscaler capex

The single biggest macro driver for AIQ over the next 12 months is the AI capital expenditure cycle at the four hyperscalers whose spending feeds nearly every chipmaker, networking vendor, and memory supplier in the portfolio. Microsoft (NASDAQ:MSFT) posted $30.9 billion in Q3 FY26 capex, up 84% year over year. Alphabet (NASDAQ:GOOGL) spent $35.7 billion in Q1, up 107%, with full-year guidance of $175 to $185 billion. Meta (NASDAQ:META) raised 2026 capex to $125 to $145 billion from a prior $115 to $135 billion, citing AI competition.

That spending shows up directly in AIQ holdings. NVIDIA’s Q4 data center networking revenue grew 263% year over year, and Broadcom’s AI semiconductor revenue hit $8.4 billion, more than doubling. Watch the next round of hyperscaler earnings (late July) and the quarterly capex disclosures in hyperscaler 10-Qs. A guidance cut from any two of the four would mark the inflection. The secondary watch is the 10-year Treasury yield, almost 4.5% per FRED, near its 12-month high of 4.6%. Higher discount rates compress long-duration tech multiples.

The micro factor: concentration and geography

The single most important ETF-specific feature of AIQ is its holdings construction, which is less U.S. mega-cap heavy than most investors assume. The two largest positions are Korean memory makers: Samsung Electronics at 4.58% and SK hynix at 4.53%. Taiwan Semiconductor sits at 3.61%, and Chinese platforms Tencent (2.73%) and Alibaba (2.57%) together exceed any single U.S. position. NVIDIA is just 3.02%, Microsoft 2.75%.

That structure cuts both ways. It dampens single-stock blowups (NVIDIA’s 5% drop on April 30 barely registered at the fund level) but raises sensitivity to two specific risks: HBM memory pricing, where Samsung and SK hynix are price-takers in the AI accelerator supply chain, and U.S.-China export controls. NVIDIA’s Q1 FY27 guide of $78.0 billion explicitly excludes any China data center compute revenue. Pull the AIQ holdings file at globalxetfs.com after each semiannual Indxx rebalance to track any drift in the Asia weighting.

What it comes down to

If hyperscaler capex guidance holds through the late-July earnings cycle and the 10-year yield stays under 4.5%, AIQ’s setup remains intact, but watch the next Indxx reconstitution and the BIS export-control docket for any shift that would re-rate the fund’s roughly 12.7% Korea-plus-Taiwan exposure.