AIHY
Not rated
No published distribution safety rating is available.
ETF Comparison
A head-to-head comparison of Defiance AI Hyperscale Leaders ETF and Global X Artificial Intelligence & Technology ETF covering yield, cost, risk, and income potential.
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.
Caution
High confidence
Score snapshot as of . Method 1.11.
| Metric | ||
|---|---|---|
| Full name | Defiance AI Hyperscale Leaders ETF | Global X Artificial Intelligence & Technology ETF |
| Issuer | Defiance ETFs | Global X |
| Last Close | $20.46 as of November 6, 2026 | $56.89 as of November 6, 2026 |
| Distribution rate | β | 0.00% |
| Trailing 12-month yield | β | 0.08% |
| 30-day SEC yield | 1.31% | -0.07% |
| Distribution Safety Scoreβ’ | β | 52 |
| Safety-Adjusted Yield | β | 0.04% |
| Expense ratio | 0.37% | 0.68% |
| AUM | $16.5M | $9.57B |
| Distribution frequency | Annual | Semi-Annual |
| 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 | 05/11/2018 |
| Beta | β | 1.68 |
| Last dividend | β | $0.00045 |
| Ex-dividend date | β | 06/29/2026 |
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 AIQ over the year to date, posting a 1.66% total return against 10.40%. 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% |
| AIQ | 10.40% | -7.95% | 28.5% | -1.11 | -1.43 | -16.3% |
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 | AIQ |
|---|---|---|
| Forward distribution rate | β | 0.00% |
| Trailing 12-month yield | β | 0.08% |
| 30-day SEC yield | 1.31% | -0.07% |
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 0.68% for AIQ, and on funds tracking the same thing that gap compounds every year you hold.
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.
Global X is known for offering a diverse lineup of thematic and income-focused ETFs that cater to both traditional and alternative investment strategies. Their fund families span income generation through covered call strategies and SuperDividend funds, alongside thematic exposure in areas like digital assets, robotics, and emerging markets, complemented by bond and commodities offerings. The issuer provides broad coverage across sector-specific, risk-managed, and growth-oriented strategies, making their lineup particularly notable for investors seeking specialized exposure beyond conventional equity and fixed-income categories.
See our curated list of related YouTube videos on AIQ.
AIHY (Defiance AI Hyperscale Leaders ETF) and AIQ (Global X Artificial Intelligence & Technology ETF) are both ETFs, but they take different approaches.
AIHY is cheaper with an expense ratio of 0.37% compared to 0.68%.
AIQ has $9.57B in assets vs $16.5M for AIHY, but AIHY only launched July 2026 β AUM comparisons will become more meaningful as it builds a track record.
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 current distribution rates, AIHY has no reported distribution yield yet, so a cash estimate is not available, while AIQ has no reported distribution yield yet, so a cash estimate is not available.
Over 10 years on $10,000, AIHY would cost approximately $370 in fees vs $680 for AIQ (simplified, not compounded). The $310.00 difference may be offset by yield or performance.
AIHY is an ETF built around technology exposure, while AIQ is an ETF built around technology exposure.
AIHY is managed by Defiance ETFs (launched 07/20/2026) with $16.5M in assets. AIQ is managed by Global X (launched 05/11/2018) with $9.57B in assets.
Neither AIHY nor AIQ currently reports a distribution yield, so neither is an income fund today. Compare them on holdings, cost, and total return instead.
AIHY (Defiance AI Hyperscale Leaders ETF) is an ETF built around technology exposure, while AIQ (Global X Artificial Intelligence & Technology ETF) is an ETF built around technology exposure. They are issued by Defiance ETFs and Global X respectively.
Yes β nothing prevents holding both. Whether the combination actually diversifies depends on how much the underlying exposures overlap, which isn't fully measurable from the data on this page; review each security's holdings, sector, and strategy before treating them as complementary.
AIHY has an expense ratio of 0.37% while AIQ charges 0.68%. Lower fees mean more of your investment returns stay in your pocket over time.
At current distribution rates, AIHY has not established a distribution history yet, so a cash estimate is not available. AIQ has not established a distribution history yet, so a cash estimate is not available.
AIHY has lagged AIQ over the year to date, posting a 1.66% total return against 10.40%. Figures are total returns: price change plus every distribution reinvested. Past performance does not guarantee future results.
Generated October 31, 2026.
Figures quoted in this analysis are from its generation date and may lag the live snapshot table above, which always shows the latest data.
AIHY and AIQ are both equity ETFs targeting artificial intelligence, but they differ fundamentally in scope and maturity. AIHY focuses narrowly on the compute infrastructure layerβdata centers, semiconductors, cloud platforms, and AI-specific hardwareβand requires holdings to derive at least 50% of revenue from AI. AIQ casts a much wider net across the entire AI and technology ecosystem without those revenue thresholds, capturing everything from AI software to semiconductor suppliers to traditional tech. AIHY is newly launched with $16.5M, while AIQ is a 8 years-year-old fund managing $9.57B.
The biggest difference is strategy scope. AIHY explicitly filters for companies whose business depends materially on AIβat least half their revenue or assets tied to the AI stack. AIQ holds technology and AI companies more broadly, without that revenue constraint, so it likely includes diversified tech firms where AI is a product or opportunity, not the core business. This makes AIHY a concentrated play on AI infrastructure and AIQ a more traditional tech-heavy AI thematic.
Yield is the second divide. Both are growth-focused, but their distribution structures signal capital appreciation orientation.
Fees and scale create the third difference.
AI-generated analysis for educational purposes only. Verify important details independently; past performance does not guarantee future results.
The metrics behind this comparison, explained in the Academy.
These comparisons follow the Dividend Vision methodology.