AIHY vs PWER: AI Hyperscalers or Energy Transition?
AIHY actively selects AI hyperscale leaders using business-activity and financial criteria. PWER actively invests across energy-transition enablers and responsible producers, including traditional energy businesses. PWER is not restricted to renewable energy, and differing themes do not establish zero overlap or independent economic risks.
Data updated September 18, 2026
Visual comparison
Key metrics
Projected income on $10K
Projections assume the current yield and share price remain constant. Actual results will vary.
Total returns
100% reinvested · ex-date convention. Period returns use this fixed assumption, independent of chart settings.
AIHY has lagged PWER over the shared window since Jul 2026, posting a 8.74% total return against 10.02%. Figures are total returns: price change plus every distribution reinvested.
Total return and risk statistics by fund. Each row is one fund; each column is one period or statistic.
Total return with all distributions reinvested on the ex-dividend date (a modeling convention, not the cash-settlement date), split-adjusted, as of September 18, 2026. YTD and 1Y are cumulative; windows of one year or longer are annualized. “Since Jul 2026” measures every fund from July 21, 2026 — the start of shared available history — so all funds share one comparison window.
Side-by-side snapshot
Side-by-side snapshot. Each row is one metric;
each column is one fund.
Seeks long-term capital appreciation by investing in the companies building and operating the compute backbone of artificial intelligence — spanning AI compute infrastructure, cloud platforms, data centers, semiconductors, and AI software. Holdings must derive at least 50% of revenues, assets, or spending from AI and demonstrate revenue growing faster than operating expenses.
— Distribution rate, Safety-Adjusted Yield, last dividend, and ex-dividend date are not yet available because AIHY launched July 2026; these fields will populate after the first distribution.
Bottom lineWe won't call this one: AIHY launched July 2026, so there is not yet a track record to compare. Compare the strategy, cost and holdings in the sections above and treat any performance figures for the newer ETF as provisional. What is already clear from the numbers above: the two do not cost the same — AIHY charges 0.37% against 0.79% for PWER, and on funds tracking the same thing that gap compounds every year you hold.
AI business selection versus energy-transition investing
AIHY actively selects AI hyperscale leaders using business-activity and financial criteria. PWER actively invests across energy-transition enablers and responsible producers, including traditional energy businesses. PWER is not restricted to renewable energy, and differing themes do not establish zero overlap or independent economic risks.
AIHY
PWER
Approach
Active AI-hyperscaler equity selection
Active energy-transition enablers and responsible producers
Risk review
AI capital-spending cycle, valuation, and company concentration
Energy/materials cycles, policy, project execution, and foreign-market risks
ETFs and AUM reflect what Dividend Vision tracks — the issuer's full lineup may be larger.
Defiance ETFs is known for offering specialized and thematic investment strategies that cater to niche market segments and alternative income approaches. The issuer's lineup spans income-focused funds, leveraged strategies, combinations of leverage with income generation, and thematic products tied to emerging trends and sectors. Defiance emphasizes non-traditional and differentiated strategies rather than broad-based index exposure, appealing to investors seeking targeted exposure beyond conventional ETF offerings.
See our curated list of related YouTube videos on AIHY.
AIHY (Defiance AI Hyperscale Leaders ETF) and PWER (Nomura Energy Transition ETF) are both ETFs, but they take different approaches.
PWER currently shows a 0.54% distribution yield. AIHY has not yet established a full distribution history, so a comparable yield figure is not available.
AIHY is cheaper with an expense ratio of 0.37% compared to 0.79%.
PWER has $12.7M in assets vs $5.26M for AIHY, but AIHY only launched July 2026 — AUM comparisons will become more meaningful as it builds a track record.
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On a $10,000 investment, AIHY has no reported distribution yield yet, so a monthly income estimate is not available, while PWER would produce $4.50/month, at current distribution rates.
AIHY yield—
PWER yield0.54%
Cost & efficiency
Over 10 years on $10,000, AIHY would cost approximately $370 in fees vs $790 for PWER (simplified, not compounded). The $420.00 difference may be offset by yield or performance.
AIHY ER0.37%
PWER ER0.79%
Strategy & risk
AIHY actively selects AI hyperscale leaders using business-activity and financial criteria. PWER actively invests across energy-transition enablers and responsible producers, including traditional energy businesses. PWER is not restricted to renewable energy, and differing themes do not establish zero overlap or independent economic risks. Beta describes historical benchmark sensitivity, not guaranteed downside protection.
AIHY beta—
PWER beta1.0111
Fund details
AIHY is managed by Defiance ETFs (launched 07/20/2026) with $5.26M in assets. PWER is managed by Nomura (launched 11/28/2023) with $12.7M in assets.
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Frequently asked questions
Must every AIHY holding earn half its revenue from AI?
No. Its AI business-activity test can use revenues, assets, capital expenditures, or research and development spending. It also applies scalability, revenue-growth, and profitability criteria. Review current holdings and the prospectus rather than treating the theme as a pure-play revenue guarantee. Fund AUM also does not describe its holdings' market caps.
How should I compare risk and ownership costs?
Use matching dates and definitions for returns, distributions, and fees. Beta describes historical benchmark sensitivity, not guaranteed downside protection. Check current bid-ask spreads and premiums or discounts; AUM alone does not determine the price available for your order.
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