The S&P 500 ETF Nobody Talks About That Could Beat VOO

S&P 500 earnings are forecast to grow 22% in 2026 and 15% in 2027, with AI infrastructure development expected to drive much of the upside. The article argues the Invesco S&P 500 Quality ETF (SPHQ) offers better quality exposure than a broad S&P 500 ETF by emphasizing companies with strong ROE, lower accruals, and lower leverage. SPHQ holds 100 names, charges a 0.15% expense ratio, and has recently posted annualized 3-year and 5-year returns of 22.1% and 14.3%.

Analysis

This is less a broad-market bull case than a statement that earnings dispersion is about to widen. If AI capex remains the marginal source of profit growth, the real beneficiaries are the bottleneck suppliers and the firms with operating leverage to data-center buildouts, not the index as a whole. That keeps the setup favorable for NVDA and LRCX, but also for GE via power/thermal infrastructure and AAPL/GOOGL as cash-rich balance sheets with resilience if growth later normalizes.

The second-order issue is that quality screens can be a late-cycle hedge and a momentum continuation trade at the same time. If earnings breadth stays narrow, capital will keep crowding into large, liquid “quality AI” names, which supports multiples even if macro weakens. But if AI spend rolls over or hyperscaler capex pauses for a quarter or two, the same basket can de-rate quickly because it is partly a consensus crowded-on-safety trade, not a true defensive sleeve.

The market is underpricing the timing mismatch between revenue recognition and capex intensity. Hardware and infrastructure names can print strong earnings now while the eventual ROI debate gets pushed into 2027, so the first reversal is more likely to come from commentary than from reported numbers. The key tell will be whether order growth, backlog conversion, and forward capex guidance start slowing before headline EPS does.

Contrarian view: this is not a call to own the whole quality factor indiscriminately. The better expression is to own the suppliers to AI infrastructure and hedge the parts of quality that are expensive, passive-owned, and less directly levered to capex. If the consensus is right, the upside is already in the earnings path; if it is wrong, the fastest air pockets will be in the most crowded names with the highest AI optionality embedded in valuation.

Key Decisions for Investors

• Go long LRCX and GE on a 3-6 month horizon as direct beneficiaries of AI infrastructure spend; use pullbacks of 5-8% to add, with a 15-20% upside target if capex guidance stays firm.
• Pair trade: long LRCX / short GOOGL or AAPL for 1-2 quarters to isolate AI capex winners from quality megacaps with less near-term earnings torque; stop if the market shifts toward defensive cash flow and multiple expansion.
• Maintain a small long NVDA position but hedge with a tighter trailing stop; the setup remains positive, but it is the most crowded expression of the theme and most vulnerable to any capex pause.
• Buy SPHQ only as a relative-quality overlay versus broad index exposure, not as a standalone bet; prefer a 50/50 mix with VOO to keep tech beta while reducing downside if macro weakens.
• If hyperscaler commentary turns cautious, rotate out of the most expensive AI beneficiaries and into GE first; power/grid and industrial infrastructure should lag less than semiconductor names in a capex deceleration.