AIHY
Not rated
No published distribution safety rating is available.
ETF Comparison
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.
Updated November 6, 2026
No track record yet. AIHY launched within the last six months. The forward distribution rate is left blank until a payout is published.
How these figures are calculated: methodology.
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An estimate of distribution reliability, not price or principal safety, a probability, or a guarantee. Score methodology.
Not rated
No published distribution safety rating is available.
Generally safe
Limited data
Score snapshot as of . Method 1.11.
| Metric | ||
|---|---|---|
| Full name | Defiance AI Hyperscale Leaders ETF | Nomura Energy Transition ETF |
| Issuer | Defiance ETFs | Nomura |
| Last Close | $20.46 as of November 6, 2026 | $42.16 as of November 6, 2026 |
| Distribution rate | β | 2.14% |
| Trailing 12-month yield | β | 1.16% |
| 30-day SEC yield | 1.31% | β |
| Distribution Safety Scoreβ’ | β | 74 |
| Safety-Adjusted Yield | β | 1.58% |
| Expense ratio | 0.37% | 0.79% |
| AUM | $16.5M | $12.1M |
| Distribution frequency | Annual | Quarterly |
| Underlying index | β | β |
| Objective | Seeks long-term capital appreciation by investing in the companies building and operating the compute backbone of artificial intelligence β 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. | β |
| Asset class | Equity | Equity |
| Inception date | 07/20/2026 | 11/28/2023 |
| Beta | β | 1.0111 |
| Last dividend | β | $0.226 |
| Ex-dividend date | β | 09/21/2026 |
β 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.
100% reinvested Β· ex-date convention. Period returns use this fixed assumption, independent of chart settings. YTD and 1Y are cumulative period returns; 3Y, 5Y, and 10Y are annualized. The shared Since-start window is annualized only when it covers at least one year.
AIHY has lagged PWER over the year to date, posting a 1.66% total return against 20.31%. PWER has been the steadier holding, though β annualized volatility of 19.2% against 28.8% for AIHY. Figures are total returns: price change plus every distribution reinvested.
| Symbol | YTD cumulative | Since Jul 2026 | Volatility | Sharpe | Sortino | Max drawdown |
|---|---|---|---|---|---|---|
| AIHY | 1.66% | 1.66% | 28.8% | 0.05 | 0.07 | -13.0% |
| PWER | 20.31% | 1.79% | 19.2% | 0.09 | 0.13 | -10.6% |
Total return with all distributions reinvested on the ex-dividend date (a modeling convention, not the cash-settlement date), split-adjusted, as of November 5, 2026. YTD and 1Y are cumulative period returns; 3Y, 5Y, and 10Y are annualized. The shared Since-start window is annualized only when it covers at least one year. βSince Jul 2026β measures every fund from July 21, 2026 β the start of shared available history β so all funds share one comparison window. Volatility is the annualized standard deviation of daily total returns over the shared window since Jul 2026. Sharpe and Sortino divide the annualized return in excess of the risk-free rate by, respectively, that volatility and the downside deviation (both over the shared window since Jul 2026) β higher is better. Max drawdown is the largest peak-to-trough total-return decline over the same window β shallower is better.
| Metric | AIHY | PWER |
|---|---|---|
| Forward distribution rate | β | 2.14% |
| Trailing 12-month yield | β | 1.16% |
| 30-day SEC yield | 1.31% | β |
Total return (price change plus reinvested distributions) is the Total returns section above. A 30-day SEC yield can sit far from the headline distribution rate; both numbers are the fund's own published fields.
Projections assume the current yield and share price remain constant. Actual results will vary.
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 β AIHY charges 0.37% against 0.79% for PWER, and on funds tracking the same thing that gap compounds every year you hold.
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 |
| Expense ratio | 0.37% | 0.79% |
| Portfolio fit | Review combined holdings and weights | Review combined holdings and weights |
See how much monthly income a hypothetical investment would generate in each ETF at current yields.
ETFs and AUM reflect what Dividend Vision tracks β 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.
ETFs and AUM reflect what Dividend Vision tracks β the issuer's full lineup may be larger.
See our curated list of related YouTube videos on PWER.
AIHY (Defiance AI Hyperscale Leaders ETF) and PWER (Nomura Energy Transition ETF) are both ETFs, but they take different approaches.
PWER has paid a 1.16% yield over the past 12 months. 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%.
Positions that appear in every fund's top 10. Issuers disclose only the largest weights, so this captures the overlap of the concentrated end of each book β not the full portfolios.
Top-10 holdings unavailable for AIHY β cannot compute overlap.
On a $10,000 investment at the rates paid over the past 12 months, AIHY has no reported distribution yield yet, so a cash estimate is not available, while PWER would pay about $116.00 a year (about $29.00 per quarterly distribution on average).
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 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 is managed by Defiance ETFs (launched 07/20/2026) with $16.5M in assets. PWER is managed by Nomura (launched 11/28/2023) with $12.1M in assets.
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.
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.
The metrics behind this comparison, explained in the Academy.
These comparisons follow the Dividend Vision methodology.