AGIX vs. FAI

Last updated Aug 6, 2026

AGIX (KraneShares Artificial Intelligence & Technology ETF) and FAI (First Trust Bloomberg Artificial Intelligence ETF) are both Artificial Intelligence funds - AGIX tracks the Solactive Etna Artificial General Intelligence Index while FAI tracks the Bloomberg Artificial Intelligence Index. Both are passively managed. Over the past year, AGIX returned 41.17% vs 46.14% for FAI. Their correlation of 0.93 means they have usually moved in the same direction. AGIX charges 1.00%/yr vs 0.65%/yr for FAI.

Performance

AGIX vs. FAI - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in KraneShares Artificial Intelligence & Technology ETF (AGIX) and First Trust Bloomberg Artificial Intelligence ETF (FAI). The values are adjusted to include any dividend payments, if applicable.

Returns By Period

In the year-to-date period, AGIX achieves a 22.77% return, which is significantly lower than FAI's 31.06% return.

AGIX

• 1D: -1.61%
• 1M: -2.11%
• 6M: 33.77%
• YTD: 22.77%
• 1Y: 41.17%
• 3Y*: —
• 5Y*: —
• 10Y*: —
• ALL TIME*: 32.94%

FAI

• 1D: -1.05%
• 1M: 1.90%
• 6M: 37.79%
• YTD: 31.06%
• 1Y: 46.14%
• 3Y*: —
• 5Y*: —
• 10Y*: —
• ALL TIME*: 40.65%

*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison

Position	Avg. Volume Value (2W)	Avg. Volume Value (1M)	Avg. Volume Value (3M)
AGIX KraneShares Artificial Intelligence & Technology ETF	$6.66M	$6.82M	$17.79M
FAI First Trust Bloomberg Artificial Intelligence ETF	$1.72M	$2.75M	$3.66M

AGIX vs. FAI - Yearly Performance Comparison

	2026 (YTD)	2025	2024
AGIX KraneShares Artificial Intelligence & Technology ETF	22.77%	29.24%	3.91%
FAI First Trust Bloomberg Artificial Intelligence ETF	31.06%	33.37%	2.28%

Correlation

The correlation between AGIX and FAI is 0.93, meaning they have usually moved in the same direction, including during past declines.

	Correlation
Correlation (1Y) Focuses on recent behavior, but can change the most.	0.93
Correlation (All Time) Calculated using the full available price history since Nov 21, 2024	0.93

The correlation between AGIX and FAI has been stable across timeframes, ranging from 0.93 to 0.93 - a consistent structural relationship.

Return for Risk

AGIX vs. FAI — Risk / Return Rank

Compare historical risk-adjusted metric ranks over the past 12 months.

AGIX

AGIX Risk / Return Rank: 47
AGIX Sharpe Ratio Rank: 50
AGIX Sortino Ratio Rank: 48
AGIX Omega Ratio Rank: 45
AGIX Calmar Ratio Rank: 51
AGIX Martin Ratio Rank: 42

FAI

FAI Risk / Return Rank: 53
FAI Sharpe Ratio Rank: 57
FAI Sortino Ratio Rank: 52
FAI Omega Ratio Rank: 49
FAI Calmar Ratio Rank: 61
FAI Martin Ratio Rank: 48

The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

AGIX vs. FAI - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for KraneShares Artificial Intelligence & Technology ETF (AGIX) and First Trust Bloomberg Artificial Intelligence ETF (FAI). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.

Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.

	AGIX	FAI	Difference
Sharpe ratio: Return per unit of total volatility	1.43	1.57	-0.15
Sortino ratio: Return per unit of downside risk	1.98	2.10	-0.12
Omega ratio: Gain probability vs. loss probability	1.24	1.26	-0.02
Calmar ratio: Return relative to maximum drawdown	2.08	2.46	-0.38
Martin ratio: Return relative to average drawdown	5.16	6.36	-1.20

AGIX vs. FAI - Sharpe Ratio Comparison

The current AGIX Sharpe Ratio is 1.43, which is comparable to the FAI Sharpe Ratio of 1.57. The chart below compares the historical Sharpe Ratios of AGIX and FAI, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.

Drawdowns

AGIX vs. FAI - Drawdown Comparison

The maximum AGIX drawdown since its inception was -31.48%, which is greater than FAI's maximum drawdown of -27.82%. Use the drawdown chart below to compare losses from any high point for AGIX and FAI.

Drawdown Indicators

	AGIX	FAI	Difference
Max Drawdown Largest peak-to-trough decline	-31.48%	-27.82%	-3.66%
Max Drawdown (1Y) Largest decline over 1 year	-19.85%	-18.84%	-1.01%
Current Drawdown Current decline from peak	-9.78%	-6.91%	-2.87%
Average Drawdown Average peak-to-trough decline	-6.19%	-5.78%	-0.41%
Ulcer Index Depth and duration of drawdowns from previous peaks	7.99%	7.27%	+0.72%

Volatility

AGIX vs. FAI - Volatility Comparison

KraneShares Artificial Intelligence & Technology ETF (AGIX) and First Trust Bloomberg Artificial Intelligence ETF (FAI) have volatilities of 10.35% and 10.63%, respectively, indicating that both stocks experience similar levels of price fluctuations. This suggests that the risk associated with both stocks, as measured by volatility, is nearly the same. The chart below showcases a comparison of their rolling one-month volatility.

Volatility by Period

	AGIX	FAI	Difference
Volatility (1M) Calculated over the trailing 1-month period	10.35%	10.63%	-0.28%
Volatility (6M) Calculated over the trailing 6-month period	24.26%	24.94%	-0.68%
Volatility (1Y) Calculated over the trailing 1-year period	29.00%	29.46%	-0.46%
Volatility (5Y) Calculated over the trailing 5-year period, annualized	30.23%	31.45%	-1.22%
Volatility (10Y) Calculated over the trailing 10-year period, annualized	30.23%	31.45%	-1.22%

AGIX vs. FAI - Expense Ratio Comparison

AGIX has a 1.00% expense ratio, which is higher than FAI's 0.65% expense ratio.

Dividends

AGIX vs. FAI - Dividend Comparison

AGIX's dividend yield for the trailing twelve months is around 0.98%, while FAI has not paid dividends to shareholders.

Position	TTM	2025	2024
AGIX KraneShares Artificial Intelligence & Technology ETF	0.98%	1.21%	0.77%
FAI First Trust Bloomberg Artificial Intelligence ETF	0.00%	0.00%	0.04%

Frequently Asked Questions

Can I hold both AGIX and FAI in my portfolio?

With a correlation of 0.93, AGIX and FAI move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.

Which is riskier, AGIX or FAI?

FAI has higher volatility (10.63%) compared to AGIX (10.35%). In terms of maximum drawdown, AGIX dropped -31.48% vs FAI's -27.82%.

Which ETF is better, AGIX or FAI?

On 1-year performance, FAI leads with 46.14% vs 41.17% for AGIX. On fees, FAI is cheaper at 0.65% per year. On volatility, AGIX has been the lower-risk option at 10.35%. The better choice depends on whether you care most about return, fees, risk, or income.

Which ETF has performed better, AGIX or FAI?

Over the 1-year period, FAI has performed better with a 46.14% return vs 41.17%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

Which ETF is cheaper, AGIX or FAI?

FAI is cheaper with a 0.65% expense ratio, compared with 1.00% for AGIX.

Which ETF pays a higher dividend yield, AGIX or FAI?

AGIX has the higher dividend yield at 0.98%, compared with 0.00% for FAI.

What is the main difference between AGIX and FAI?

AGIX tracks Solactive Etna Artificial General Intelligence Index, while FAI tracks Bloomberg Artificial Intelligence Index. They also come from different issuers: KraneShares and First Trust. Their fees differ too: 1.00% for AGIX and 0.65% for FAI.

Which has better risk-adjusted returns?

FAI currently has the higher Sharpe Ratio (1.57 vs 1.43), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.