Virtus Terranova U.S. Quality Momentum ETF Q1 2026 Commentary

AI disruption concerns pressured software and select financial institutions, while value sectors such as energy, materials, utilities, consumer staples, industrials, and real estate outperformed. Virtus Terranova U. S. Quality Momentum ETF returned -4.82% at NAV, slightly lagging the Index at -4.77%. The article points to a modest risk-off rotation rather than a market-wide shock.

Analysis

The market is signaling a regime shift from multiple expansion to cash-flow durability: software is being repriced less on growth optionality and more on how quickly AI can commoditize product layers. The first-order losers are high-gross-margin vendors with weak differentiation, but the second-order damage is broader — if buyers believe AI can replace point solutions, procurement cycles lengthen and bundle pressure rises across adjacent enterprise software, consulting, and even some IT services. That creates a feedback loop where weaker software names see margin compression exactly when they need spend to defend install bases.

The beneficiaries are not just the obvious value sectors; they are the capital-intensive businesses that look relatively insulated from software displacement and can pass through costs or monetize physical scarcity. Utilities, energy, and select industrials should continue to attract defensive flows if investors keep rotating away from long-duration growth, but the more interesting opportunity is in firms where AI is an input rather than a threat — companies that can use automation to expand operating leverage without risking product substitution. Financials are bifurcating: commodity-like payment/processing and workflow lenders may remain under pressure, while balance-sheet-heavy institutions with low-tech cost bases could benefit if capital rotates toward simpler earnings streams.

Near term, the move can continue for days to weeks as positioning unwinds, especially if any AI-related commentary from hyperscalers or software leaders reinforces the notion that pricing power is eroding. Over the next 3-6 months, the key catalyst is whether AI monetization becomes visible enough to offset fear; absent hard evidence of revenue capture, multiple compression can persist even if fundamentals do not deteriorate immediately. The main contrarian risk is that the market may be front-running a substitution narrative faster than actual customer behavior changes — enterprise software budgets are sticky, and many AI initiatives still sit inside experimental spend, not full displacement.

The most actionable setup is to fade crowded quality-momentum software exposure on strength rather than chase the move lower; the recent ETF underperformance versus benchmark is small, which suggests the de-risking phase may still be early rather than exhausted. If the rotation broadens, the best relative-value trade is to own sectors with visible pricing power and short software names with heavy AI-disruption risk and weak free-cash-flow conversion. A reversal would likely require either a strong set of software earnings beats with better-than-feared AI monetization or a macro shock that reasserts growth scarcity and lifts all long-duration assets together.

Key Decisions for Investors

• Reduce exposure to broad software beta over the next 1-2 weeks; favor trimming names with high revenue multiples and weak free-cash-flow conversion first, as they are most vulnerable to continued multiple compression.
• Initiate a relative-value pair: long XLU or XLE, short a software ETF or basket of high-duration SaaS names for 1-3 months; target a further 5-10% dispersion if AI-disruption fears continue to drive factor rotation.
• Buy downside protection on a high-quality software index via 3-6 month put spreads, ideally on strength after any relief rally; this limits premium outlay while capturing another leg lower if pricing-power concerns deepen.
• Add selectively to industrials and utilities on pullbacks, focusing on businesses where AI can improve operating leverage rather than threaten the revenue model; these names should hold up if the market remains risk-off.
• Set a reversal trigger: if the next earnings cycle shows measurable AI monetization or improved net retention in software, cover shorts and rotate back into the best-in-class platforms, as the current re-rating could prove overdone.