AIHY vs NLR: Which Is the Better Pick in 2026?

Overview

AIHY and NLR are both equity ETFs pursuing growth through distinctly different sectors: AIHY targets companies building AI infrastructure and software (semiconductors, data centers, cloud platforms), while NLR tracks uranium producers and nuclear energy operators via an indexed strategy. They share no meaningful thematic overlap—one bets on computing hardware and software for artificial intelligence, the other on fuel and power generation for nuclear reactors.

How they differ

The core difference is strategy and underlying exposure. AIHY is an actively managed fund requiring holdings to derive at least 50% of revenue, assets, or spending from AI operations, while NLR is index-tracking, replicating the MVIS Global Uranium & Nuclear Energy Index with no active screening. Second, NLR has meaningful yield—2.69% distributed annually—whereas AIHY reports no distribution rate, treating it as a pure capital appreciation vehicle. Third, scale and track record diverge sharply: NLR has $4.03B in assets and began in 2007, while AIHY launched in July 2026 with $506,890 in AUM, making it an early-stage fund. NLR also carries a beta of 1.16, indicating moderate sensitivity to broad market swings; AIHY's beta is not reported.

Who each is best for

AIHY: Fits investors who believe AI infrastructure is a structural growth opportunity and accept concentrated exposure to a narrow, newly-launched thematic basket with minimal assets under management and no current income stream.

NLR: Fits investors seeking nuclear sector exposure through a diversified, long-established index vehicle, combined with modest annual income, and who value lower expense ratios and deeper liquidity.

Key risks to know

• Thematic concentration and sector timing: AIHY's mandate to invest exclusively in companies with 50%+ AI-related revenue or spending creates heavy concentration in semiconductor, data center, and AI software subsectors. This makes performance highly dependent on AI investment cycles and sentiment. If AI capital expenditure slows or investor enthusiasm wanes, the fund faces significant drawdown risk.

• Nascent fund liquidity and asset fragility: AIHY's sub-$1 million AUM raises the risk of fund closure or liquidation if assets don't grow. Shareholders in small ETFs often face forced liquidation or awkward timing challenges. Low trading volume may also widen bid-ask spreads for retail buyers.

• Nuclear policy and commodity cyclicality: NLR's holdings depend partly on uranium spot prices and nuclear power policy tailwinds (reactor construction, fuel demand). Changes in energy regulation, waste management rules, or geopolitical uranium supply disruptions can swing valuations. Nuclear equities are also correlated with broad energy and utility market moves.

• Index replication tracking error: NLR replicates an index but does not guarantee perfect tracking; cash drag, dividend timing, and portfolio rebalancing can create small but recurring shortfalls relative to the underlying MVIS index.

Bottom line

AIHY offers thematic purity in AI infrastructure but comes with the tradeoffs of an illiquid, newly-launched fund with no income and meaningful sector concentration risk. NLR provides a mature, liquid way to access nuclear energy via indexed exposure, plus a modest dividend and lower expenses, but commits capital to a cyclical commodity-linked sector. If you're building a position in AI compute, AIHY's narrow mandate may suit a satellite holding; if you want established nuclear exposure with dividend income, NLR's scale and track record offer more stability. Past performance does not predict future results.