Holding This ETF Could Have Beaten Most VC Funds—Anthony Pompliano Says 'Insane Returns'

QQQ has risen more than 550% over the past 10 years, implying an annualized return of roughly 22%, a performance highlighted as 'insane returns for an index.' The fund now has about $497.07 billion in assets under management and charges a 0.18% expense ratio, while recent gains have been driven by AI-linked names such as Nvidia, Microsoft and Meta. The piece is largely a commentary on passive investing versus private markets rather than a new catalyst, though QQQ closed 1.90% lower on Tuesday at $729.86.

Analysis

The real signal here is not that QQQ has been strong; it is that public-market compounding has become a direct competitor to private-market fee structures. When a passive basket can compound at high-teens/low-20s annually for a decade, the hurdle for VC and growth equity managers rises sharply, especially when their liquidity, mark-up cadence, and J-curve all work against them. That should continue to pull capital toward the most liquid AI-adjacent mega-caps, reinforcing a feedback loop where winners fund more capex, attract more passive inflows, and widen the gap versus the rest of the Nasdaq.

Second-order, this is a concentration trade disguised as diversification. The marginal buyer of QQQ is effectively expressing a bullish view on a narrow cluster of AI infrastructure leaders, with NVDA, MSFT, and META acting as de facto factor drivers for the index. That creates a fragile regime: if AI capex decelerates, cloud growth normalizes, or regulation compresses advertising economics, the same passive flows that amplified upside can accelerate downside as allocators de-risk in size.

The contrarian setup is that the market may be overpaying for certainty embedded in these large caps while underappreciating private-market optionality. Late-stage private assets have been repriced, and the next 12-24 months could favor disciplined stock-pickers in software, semis, and infrastructure where earnings revisions are still catching up. But near term, momentum and flows remain dominant; fighting the tape in the top-weight names is usually expensive until breadth actually improves.

For hedge-fund positioning, the cleaner expression is not to short QQQ outright, but to fade crowded AI beta against lower-multiple quality or beneficiaries of capex spillovers. The best risk/reward is likely in relative value rather than outright index calls because the index’s return profile is driven by a handful of names whose fundamentals can stay strong even as multiples compress. Watch for any sign that ETF inflows slow or that breadth narrows further; that would be the first warning that the passive compounding story is moving from virtuous to vulnerable.

Key Decisions for Investors

• Long NVDA/MSFT/META basket vs short a private-markets proxy or listed PE asset manager basket for 3-6 months: consensus is still underestimating how much public-market compounding is disintermediating fee pools; target 10-15% relative outperformance if AI leadership persists.
• Do not short QQQ outright into strength; instead, use put spreads on QQQ 3-6 months out only on failed rallies or breadth deterioration. Risk/reward is unfavorable until inflows roll over, because the index is still being supported by systematic and retail demand.
• Pair long MSFT or NVDA vs short an AI-adjacent laggard in software/hardware where valuation has not re-rated with fundamentals, 1-2 quarters out. The spread should work if AI capex remains durable but market share becomes more concentrated.
• If you need downside hedges, buy out-of-the-money QQQ puts financed by selling downside in lower-beta large-cap software. This keeps exposure to the secular trend while protecting against a sharp de-rating event in the mega-cap complex.
• Monitor ETF flow and breadth data weekly; if QQQ breadth continues to narrow while inflows stay positive, add to hedges. That is the classic late-cycle setup where passive ownership amplifies both upside and drawdowns.