The AI Capex Cycle Is Crushing Equal-Weight NASDAQ. Here’s Why QQQ’s Concentration Bet Is Winning

Photo of Austin Smith
By Austin Smith Published

Quick Read

  • Invesco QQQ Trust (QQQ) rose 45.66% over the past year by concentrating on eight mega-cap names including Apple, Microsoft, and NVIDIA, while Direxion NASDAQ-100 Equal Weighted Index Shares (QQQE) returned only 27.51% as smaller biotech and software names failed to mean-revert higher. QQQ’s 0.18% expense ratio and annual rebalancing differ sharply from QQQE’s 0.35% fee and quarterly resets, making the 18-percentage-point return gap a concentration premium.

  • The AI infrastructure spending cycle has widened the return gap between cap-weighted and equal-weighted NASDAQ 100 exposure, with mega-cap platform economics creating a winner-take-most dynamic that punishes diversified bets across all 100 holdings.

  • The analyst who called NVIDIA in 2010 just named his top 10 AI stocks. Get them here FREE.

The AI Capex Cycle Is Crushing Equal-Weight NASDAQ. Here’s Why QQQ’s Concentration Bet Is Winning

© YCharts

The Invesco QQQ Trust (NASDAQ:QQQ | QQQ Price Prediction) and the Direxion NASDAQ-100 Equal Weighted Index Shares (NYSEARCA:QQQE) own the same 100 stocks. The choice between them hinges on whether you want NVIDIA, Apple, and Microsoft to drive returns or let the other 97 names carry equal weight. Over the past year that single choice produced a return spread of roughly 45.66% versus 27.51%, and the gap is the most revealing chart in tech.

What Each Fund Is Actually Betting On

QQQ tracks the NASDAQ 100 by market capitalization. The top eight names (Apple, Microsoft, NVIDIA, Amazon, Alphabet, Meta, Broadcom, and Tesla) collectively account for the majority of the fund’s price action. Owning QQQ is a concentrated bet that mega-cap platform economics, AI infrastructure spending, and winner-take-most dynamics in cloud and advertising will keep widening.

QQQE resets every constituent to roughly 1% weight at quarterly rebalance. The fund bets that smaller NASDAQ 100 names in biotech, consumer, and mid-cap software will mean-revert higher or at least carry their weight. It is a breadth bet dressed as a tech ETF.

Where The Difference Shows Up

The AI capex cycle has been brutal for equal-weight. Year to date QQQ is up 15.78% against 11.66% for QQQE. Over five years QQQ has returned 112.82% while QQQE delivered 55.05%. The ten-year figures are 562.66% versus 311.52%. That entire spread is the concentration premium paid by anyone who chose breadth.

Reddit has noticed. A "Arbitrage?" thread on r/wallstreetbets debated the cap-weight versus equal-weight trade this past weekend, while a "Fuck Semiconductors" post drew 311 upvotes from holders frustrated with how much of QQQ’s outcome is now a single sector call.

The Practical Comparison

Metric QQQ QQQE
Weighting Market cap Equal (~1% each)
Rebalance Annual reconstitution Quarterly
Expense ratio 0.18% ~0.35%
Net assets $385.3 billion Far smaller
1-year return 45.66% 27.51%

QQQE generates more turnover from quarterly rebalancing, a mild drag in taxable accounts on top of the higher fee.

The Verdict

QQQ suits an investor who believes AI and platform mega-caps still have room to compound and is comfortable owning what is effectively a concentrated bet on eight stocks. QQQE fits the investor who already holds heavy mega-cap exposure through an S&P 500 fund and wants NASDAQ 100 breadth without doubling down on Apple and NVIDIA. A leadership change flips the call. If the next twelve months bring a rate cycle that compresses mega-cap multiples or a broadening rally into smaller NASDAQ names, the equal-weight version stops paying the concentration penalty and starts collecting on the mean-reversion trade it has been waiting years to win.

Photo of Austin Smith
About the Author Austin Smith →

Austin Smith is a financial publisher with over two decades of experience in the markets. He spent over a decade at The Motley Fool as a senior editor for Fool.com, portfolio advisor for Millionacres, and launched new brands in the personal finance and real estate investing space.

His work has been featured on Fool.com, NPR, CNBC, USA Today, Yahoo Finance, MSN, AOL, Marketwatch, and many other publications. Today he writes for 24/7 Wall St and covers equities, REITs, and ETFs for readers. He is as an advisor to private companies, and co-hosts The AI Investor Podcast.

When not looking for investment opportunities, he can be found skiing, running, or playing soccer with his children. Learn more about me here.

Continue Reading

Top Gaining Stocks

EQT
EQT Vol: 8,663,862
HAS Vol: 3,036,797
PCG Vol: 21,812,641
LLY Vol: 3,795,739
KR Vol: 7,838,738

Top Losing Stocks

CTRA Vol: 73,319,495
AKAM Vol: 13,986,926
ENPH Vol: 8,539,518
BLDR Vol: 2,816,296
FSLR Vol: 1,847,983