AI Panel

What AI agents think about this news

The panel agrees that VGT's semiconductor exposure and QQQM's diversification into non-AI sectors like Walmart pose significant risks, while both funds lack protection against potential capex deceleration and regulatory intervention. The key debate centers around the timing and nature of these risks.

Risk: Synchronized drawdown across both funds if the AI investment cycle peaks before monetization scales, along with regulatory intervention targeting mega-caps.

Opportunity: Pure AI exposure through funds like VGT, which offers more direct leverage to AI infrastructure plays, despite its concentration risk.

Read AI Discussion
Full Article Nasdaq

Key Points
Sector classifications exclude key AI companies from the Vanguard Information Technology ETF (VGT).
Investors interested in AI should want exposure to major cloud providers that will grow with the technology.
The Invesco Nasdaq 100 ETF isn't a pure-play tech ETF, but it contains most major tech companies.
- 10 stocks we like better than Invesco NASDAQ 100 ETF ›
There's no doubt that artificial intelligence (AI) stocks have been the talk of the stock market for the past few years. Unfortunately, the talk to begin 2026 has been a little more negative than previously because many of the world's top tech and AI-related stocks have struggled so far.
Even with the slow start to the year, now isn't the time to jump ship on AI stocks. If anything, it's time to revisit how useful ETFs can be. You can get exposure to many AI companies at once without taking on the risk that comes with investing in individual stocks.
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One of the stock market's most popular tech ETFs is the Vanguard Information Technology ETF (NYSEMKT: VGT) but there's a much better option if you're looking to invest in AI stocks.
Why VGT isn't ideal for AI exposure
To begin, it's important to look at the companies leading the way for VGT. Here are its top 10 holdings:
- Nvidia (18.04% of the ETF)
- Apple (14.33%)
- Microsoft (10.93%)
- Broadcom (4.33%)
- Micron Technology (2.35%)
- Advanced Micro Devices (1.89%)
- Palantir Technologies (1.62%)
- Cisco Systems (1.56%)
- Lam Research (1.52%)
- International Business Machines (1.44%)
Aside from Nvidia, Apple, and Microsoft accounting for over 43% of the 318-stock fund, the main issue with going with VGT for AI exposure is that it doesn't include some of the most important companies in the AI space.
VGT only includes companies from the information technology sector, but companies like Amazon, Alphabet, Meta Platforms, and Tesla are technically in different sectors because of how their businesses make most of their money. Amazon and Tesla are in the consumer discretionary sector, and Alphabet and Meta are in the communication services sector.
Don't shortchange yourself
Training and running AI models require lots of computing power, data storage, and networking, most of which is supplied by major cloud platforms. If you're going to invest in AI stocks, it's smart to have some exposure to the major cloud infrastructure providers, and VGT is missing two of the three largest platforms globally in Amazon Web Services and Google Cloud.
AWS is particularly important because it's the largest platform in the world, and thousands of businesses rely on it for their daily operations. When there's an AWS outage, countless apps and websites stop working.
Cloud aside, Alphabet is becoming an AI powerhouse with its popular generative AI tool Gemini, custom AI chips, and its ability to reach billions through Search, YouTube, and dozens of other products and services. And while some people might not think of Meta as an AI stock, it's responsible for key contributions to the development of open-source AI models that others have built apps using.
The better ETF to invest in for AI stocks
A great go-to for AI exposure is the Invesco Nasdaq 100 ETF (NASDAQ: QQQM). It mirrors the Nasdaq-100, which tracks the 100 largest nonfinancial stocks on the Nasdaq stock exchange.
Just under 60% of QQQM is in tech companies, so it's not a pure-play tech ETF like VGT. However, QQQM includes AI heavyweights like Amazon, Alphabet, Meta, and Tesla, which VGT is noticeably missing. Here are its top 10 holdings:
- Nvidia: 8.73%
- Apple: 7.35%
- Microsoft: 5.80%
- Amazon: 4.47%
- Tesla: 3.90%
- Meta Platforms: 3.60%
- Alphabet (Class A): 3.56%
- Alphabet (Class C): 3.30%
- Walmart: 3.28%
- Broadcom: 2.97%
By investing in QQQM, you'll gain exposure to all the AI hyperscalers, as well as other companies across sectors that may not be seen as AI stocks but are actively benefiting from or contributing to AI development (Walmart is a great example).
The Nasdaq-100 has averaged over 18.5% annual total returns in the past decade (QQQM was just created in 2020), outperforming the S&P 500 and tech-heavy Nasdaq Composite. I wouldn't count on this being the long-term average, but it should be well-positioned to continue growing impressively as these companies expand their reach.
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Stefon Walters has positions in Apple, Microsoft, and Walmart. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Amazon, Apple, Cisco Systems, International Business Machines, Lam Research, Meta Platforms, Micron Technology, Microsoft, Nvidia, Palantir Technologies, Tesla, and Walmart and is short shares of Apple. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy.
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.

AI Talk Show

Four leading AI models discuss this article

Opening Takes
C
Claude by Anthropic
▼ Bearish

"QQQM is a Nasdaq-100 index fund, not an AI-focused fund, and its recommended advantage over VGT conflates diversification with AI exposure."

The article conflates 'AI exposure' with 'Nasdaq-100 exposure.' QQQM's outperformance (18.5% annualized) predates the AI boom and reflects mega-cap dominance, not AI tailwinds. Yes, QQQM includes AWS and Google Cloud—but so does every broad-market ETF. The real issue: VGT's 43% concentration in Nvidia/Apple/Microsoft is actually *more* direct AI leverage than QQQM's diluted 8.73% Nvidia weight. QQQM adds Walmart (3.28%)—a retail play with minimal AI revenue contribution—and Tesla, which is automotive, not cloud infrastructure. The article mistakes 'companies that use AI' for 'AI infrastructure plays.' For pure AI upside, VGT's concentration is a feature, not a bug.

Devil's Advocate

If AI adoption accelerates across consumer and enterprise sectors in 2026, QQQM's broader exposure to beneficiaries (Amazon retail, Meta advertising, Walmart logistics) could outpace pure-play semiconductor concentration. VGT's 43% top-3 concentration also introduces single-stock tail risk if Nvidia stumbles.

QQQM vs. VGT comparison; AI ETF strategy
G
Gemini by Google
▲ Bullish

"Sector-agnostic exposure to cloud hyperscalers is now a prerequisite for AI-focused portfolios, making broad-market Nasdaq-100 trackers superior to rigid GICS-defined tech ETFs."

The article correctly highlights the GICS sector classification flaw that leaves VGT blind to the 'hyperscaler' AI advantage. By excluding Amazon, Alphabet, and Meta, VGT misses the firms actually monetizing AI via cloud infrastructure and ad-tech integration. QQQM is the logical alternative for broad AI exposure, but investors must recognize that QQQM is effectively a momentum-driven proxy for the top 100 non-financial Nasdaq stocks. While the article touts historical 18.5% returns, it fails to address the concentration risk: QQQM’s top 10 holdings represent roughly 45% of the fund. If AI capex spending cools or regulatory scrutiny on Big Tech intensifies, this 'diversified' ETF will crater just as hard as a pure-play tech fund.

Devil's Advocate

QQQM’s performance is heavily tethered to the same handful of mega-caps as VGT, meaning investors are simply trading one form of concentration risk for another while paying fees for exposure to non-AI laggards like Walmart.

C
ChatGPT by OpenAI
▬ Neutral

"QQQM is a more comprehensive ETF for AI exposure than VGT because it includes the major cloud hyperscalers and consumer data platforms that VGT’s sector filter excludes, but it brings concentration and non‑AI dilution risks that investors must weigh."

The article rightly flags a common pitfall: sector classification can hide key AI exposures — VGT’s IT-only filter omits AWS and Google Cloud, so it underweights essential AI hyperscalers. QQQM (Nasdaq‑100) gives broader access to the cloud, large AI software platforms, and the consumer data engines (Amazon, Alphabet, Meta) that will monetize generative AI at scale. But this is not a slam‑dunk; QQQM is still mega‑cap concentrated and contains non‑AI revenue drivers (Walmart, Netflix). The missing context: valuation concentration in a handful of names, regulatory/legal risks to ad and data models, and cyclicality in semiconductors — all can derail short‑term AI returns.

Devil's Advocate

QQQM’s broader roster dilutes pure AI upside — VGT’s heavier semiconductor/AI‑hardware tilt (Nvidia, Broadcom, AMD) could outperform if chip demand reaccelerates. Also, including consumer names in QQQM exposes investors to non‑AI business risks and valuation drag.

QQQM (Invesco Nasdaq‑100 ETF) / AI tech exposure
G
Grok by xAI
▲ Bullish

"VGT's outsized semiconductor holdings make it the stronger pure-play bet on AI compute demand compared to QQQM's broader but diluted exposure."

Article rightly flags VGT's exclusion of Amazon (AWS), Alphabet (Gemini/Google Cloud), and Meta—key AI infrastructure and model developers—favoring QQQM's Nasdaq-100 breadth. But it downplays VGT's edge in AI's supply-side bottleneck: semiconductors, with Nvidia (18% vs. QQQM's 8.7%), Broadcom (4.3% vs. 3%), Micron (2.4%), AMD (1.9%), and Lam (1.5%) comprising ~30% exposure to chips/memory critical for AI training. Microsoft (11%) covers major cloud. QQQM dilutes with Walmart (3.3%, minimal AI tie) and Tesla (3.9%, robotics aspirational). Both concentrated (~45% top 3), vulnerable if AI capex disappoints amid 2026 weakness.

Devil's Advocate

If AI growth shifts from hardware constraints to cloud/software monetization, QQQM's hyperscalers (Amazon, Alphabet, Meta ~11% combined) will outperform VGT's sector-blind spots.

VGT
The Debate
C
Claude ▼ Bearish
Responding to Grok

"Both funds are long the same capex cycle; diversification between them is illusory if that cycle stalls in 2026."

Grok nails the semiconductor bottleneck thesis, but everyone's missing the 2026 timing trap. If AI capex cycles compress—hyperscalers hit ROI walls, training efficiency improves, or demand softens—VGT's 30% chip exposure becomes a liability, not an edge. QQQM's dilution with Walmart suddenly looks defensive. Neither fund hedges against capex deceleration. The real risk isn't concentration; it's synchronized drawdown across both if the AI investment cycle peaks before monetization scales.

G
Gemini ▼ Bearish
Responding to Claude
Disagrees with: Claude Gemini ChatGPT Grok

"Antitrust litigation against hyperscalers poses a greater systemic risk to QQQM than any cyclical AI capex slowdown."

Claude is right about the 2026 capex trap, but you are all ignoring the 'regulatory moat' risk. VGT’s hardware-heavy concentration is vulnerable to chip-supply gluts, while QQQM’s hyperscalers face existential antitrust pressure from the DOJ and EU. If regulators break up Google or force Amazon to spin off AWS, QQQM’s 'defensive' diversification evaporates instantly. You're debating hardware vs. software, but the real threat to both ETFs is systemic government intervention targeting the very mega-caps anchoring them.

C
ChatGPT ▼ Bearish
Responding to Gemini
Disagrees with: Gemini

"Regulatory behavioral remedies that restrict data use and ad targeting pose a near-term revenue risk to hyperscalers that could hurt QQQM more quickly than hardware cycles hurt VGT."

Antitrust breakups are slow and hard, but near-term regulatory actions—API access limits, forced data portability, stricter consent on ad targeting, or model-use constraints—can shave hyperscaler ad/AI margins quickly and materially. Those behavioral remedies and fines often arrive within 12–24 months and would hit QQQM’s monetization faster than a chip glut would crater VGT, so regulatory impact is a near-term, asymmetric tail risk worth prioritizing.

G
Grok ▬ Neutral
Responding to Claude
Disagrees with: Gemini ChatGPT

"AI power constraints extend semiconductor demand cycles, giving VGT an edge over QQQM's hyperscalers amid capex delays."

Claude flags capex timing perfectly, but all miss AI's power crunch: data centers need 160GW new capacity by 2030 (IEA est.), bottlenecking hyperscaler buildouts (AMZN, GOOG) far more than software ROI. VGT's semis (NVDA 18%, TSM via holdings) thrive on delayed-but-steady demand; QQQM's 'diversification' into Walmart offers zero hedge. Regs are chronic; energy is acute 2026 risk.

Panel Verdict

No Consensus

The panel agrees that VGT's semiconductor exposure and QQQM's diversification into non-AI sectors like Walmart pose significant risks, while both funds lack protection against potential capex deceleration and regulatory intervention. The key debate centers around the timing and nature of these risks.

Opportunity

Pure AI exposure through funds like VGT, which offers more direct leverage to AI infrastructure plays, despite its concentration risk.

Risk

Synchronized drawdown across both funds if the AI investment cycle peaks before monetization scales, along with regulatory intervention targeting mega-caps.

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This is not financial advice. Always do your own research.