QTUM ranks 1st and AIQ 7th of 30 funds in the Artificial Intelligence Category.
AIQ vs QTUM
QTUM −0.28pt a year
0.68%0.40%
AIQ 4.1×the volume
1.5M362K
QTUM +7.6pt
+13.9%+21.5%
AIQ vs QTUM Performance
+91.8%+164.9%
- AIQ 0.68%
- QTUM 0.40%, better
- AIQ $9.73B
- QTUM $5.06B
- AIQ +13.4%
- QTUM +17.5%, better
- AIQ 0.08%
- QTUM 1.05%, better
- AIQ 91
- QTUM 89
- AIQ 1.5M sh, better
- QTUM 362K sh
- AIQ $60.33
- QTUM $134.11
ETF.net Grade
| Pillar | AIQ | QTUM |
|---|---|---|
| Cost | C41 | A86Higher |
| Mission | A71 | A74Higher |
| Risk | B69 | A70Higher |
| Tradability | A79Higher | A70 |
| Holdings | A81 | A91Higher |
| Durability | A91Higher | A79 |
Rank among Artificial Intelligence funds
Same Category. AIQ and QTUM are both graded against the same 30 Artificial Intelligence funds, so their Grades compare head to head.
Our read on each fund
AIQB
QTUMA
In short
AIQ An AI fund with real mileage, trading since 2018. AIQ casts a wide net: about 80 names spanning AI developers, the companies putting AI to work, and the hardware makers feeding big-data crunching, in the US and developed markets abroad.
QTUM Live since 2018, QTUM turns the quantum-computing story into a plain index fund: about 90 global names spanning quantum hardware and machine learning, for 0.40% a year.
Stated mandate
AIQ The fund targets companies expected to benefit from developing and using AI in products and services, along with businesses supplying hardware used for AI-driven big-data analysis.
QTUM The Fund seeks to track, before fees and expenses, the total return of the BlueStar® Quantum Computing and Machine Learning Index. It uses a passive indexing approach.
Why people hold it
Worth knowing
AIQ vs QTUM Holdings
How we measure overlap
Each holding counts at its smaller weight in the two funds, summed over the full Holdings. Sector, country and asset class use the same rule on each fund’s split. Cash, FX and derivative lines stay out of the counts. Two bond funds get no overlap figure.
AIQ vs QTUM Cost
Overpaying AIQ vs QTUM
$5,162
On $10,000 over 30 years. 7% growth a year before fees, expense ratio only.
AIQ 0.68%
$13,252
QTUM 0.40%
$8,090
Cost over time
Year by year
| Year | AIQ | QTUM | Overpaying |
|---|---|---|---|
| 10 | $1,215 | $723 | $492 |
| 20 | $4,633 | $2,793 | $1,840 |
| 30 | $13,252 | $8,090 | $5,162 |
- 0.68%AIQ
- 0.40%QTUM, cheaper
- Middle half of Artificial Intelligence funds
- Median 0.65%
QTUM 5th cheapest of 30 funds
AIQ 17th cheapest of 30 funds
AIQ vs QTUM Dividends
- AIQ 0.08%
- QTUM 1.05%, better
- AIQ $0.05
- QTUM $1.40
- AIQ $0.00045
- QTUM $0.46
- AIQ Jun 29, 2026
- QTUM Sep 23, 2026
- AIQ Jul 7, 2026
- QTUM Sep 24, 2026
- AIQ Twice a year
- QTUM Quarterly
Distribution history
AIQ vs QTUM Risk
Fall from peak · 5 years
- AIQ
- QTUM
Risk facts
- Volatility
- AIQ 24.4%, betterQTUM 28.6%
- Return per unit of risk
- AIQ 1.09QTUM 1.30, better
- Worst fall
- AIQ −44.7%QTUM −38.4%, better
- Market sensitivity
- AIQ 1.49QTUM 1.67
AIQ and QTUM in the news
Popular comparisons
- 0.68% · 0.35%
- Same Category. Both funds are graded against the same funds, so their Grades compare head to head.
- 0.40% · 0.35%
- Same Category. Both funds are graded against the same funds, so their Grades compare head to head.
- 0.68% · 0.47%
- Same Category. Both funds are graded against the same funds, so their Grades compare head to head.
- 0.40% · 0.47%
- Same Category. Both funds are graded against the same funds, so their Grades compare head to head.
- 0.68% · 0.37%
- Same Category. Both funds are graded against the same funds, so their Grades compare head to head.
- 0.40% · 0.37%
- Same Category. Both funds are graded against the same funds, so their Grades compare head to head.




