Concentrated artificial intelligence tilt combined with a broad equity core delivering strong growth with higher volatility
Report created on Apr 29, 2026Risk profile
5/7
Diversification profile
4/5
Positions
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CH Global X Artificial Intelligence Semiconductor Index ETF
CHPS - CA4405571064 50.00% -
XE iShares Core Equity Portfolio
XEQT - CA46436D1087 50.00%
This portfolio is built from just two ETFs split 50/50, which makes the structure very simple to understand. Half is in a broad core equity fund covering a wide spread of companies and sectors. The other half is targeted specifically at artificial intelligence and semiconductor businesses, creating a very focused growth tilt. This blend means the portfolio is not a multi-asset mix; it is fully equity-based with a clear thematic component. The simplicity is a strength for transparency, but it also means every change in global equities and AI-related stocks flows through directly, without the dampening effect that bonds or cash would usually provide.
Growth
Historically, $1,000 invested here in mid-2021 grew to about $2,395, with a compound annual growth rate (CAGR) near 19.9%. CAGR is the “average yearly speed” over the whole period, smoothing out the bumps. That’s higher than both the US market (about 15.2%) and the global market (about 12.6%). The trade-off is a deeper maximum drawdown of roughly -34%, versus around -22% for the benchmarks. Needing almost two years to fall then fully recover shows meaningful ups and downs. Only 22 days generated 90% of returns, highlighting how missing a few strong days could hugely change the outcome.
Projection
The Monte Carlo projection looks at many possible futures by shuffling and resampling past return patterns, not by predicting specific events. It suggests a $1,000 investment might most commonly end around $2,805 after 15 years, with a wide “likely” band between about $1,734 and $4,172. The annualized return across all simulations is roughly 8.1%, but some scenarios finish barely above $900 while others are many times higher. This spread illustrates that even with the same starting point and historical data, outcomes can vary a lot. As with all simulations, the projection depends heavily on the past continuing to resemble the future, which is never guaranteed.
Asset classes
- US Equity 82%
- Stocks 18%
Asset-class exposure is almost entirely in equities: around 82% explicitly tagged as US equity and the rest as general stocks. There is effectively no built-in allocation to bonds, cash-like instruments, or alternative assets. That means the portfolio’s behaviour is closely tied to stock market cycles, without the typical stabilizing role that fixed income or cash often play. Compared with many diversified benchmarks that blend equities and bonds, this is a stock-heavy structure consistent with a growth orientation. In rising markets this can amplify gains, while in broad equity downturns the portfolio has fewer natural shock absorbers and can move more sharply in both directions.
Sectors
- Technology 60%
- Financials 10%
- Industrials 6%
- Basic Materials 4%
- Consumer Discretionary 4%
- Energy 4%
- Health Care 4%
- Telecommunications 3%
- Consumer Staples 2%
- Utilities 2%
- Real Estate 1%
This breakdown covers the equity portion of your portfolio only.
Sector-wise, technology dominates at about 60%, with the remaining 40% spread across financials, industrials, materials, consumer areas, energy, health care, telecoms, utilities, and real estate. This is a much stronger tech tilt than broad global equity indices, where technology is important but not usually this concentrated. Heavy tech exposure often means higher sensitivity to changes in interest rates, innovation cycles, and market sentiment around growth companies. On the positive side, many of the world’s fastest-growing and most profitable firms sit in this space. On the flip side, periods when markets rotate toward more defensive or value-oriented areas can feel relatively more challenging for such a tech-leaning portfolio.
Regions
- North America 71%
- Europe Developed 14%
- Asia Developed 10%
- Japan 3%
- Asia Emerging 1%
- Australasia 1%
This breakdown covers the equity portion of your portfolio only.
Geographically, around 71% of the portfolio is in North America, with the rest spread mainly across developed Europe and developed Asia, plus smaller slices in Japan, emerging Asia, and Australasia. This creates a clear North American tilt compared with global indices, which typically assign a larger share to non-US regions. A strong North American weighting has been beneficial over the last decade as that region has led global equity returns, especially in technology. However, it also means a large portion of economic and currency exposure is tied to one region. If leadership rotates to other parts of the world, this portfolio may not fully capture that shift.
Market capitalization
- Mega-cap 53%
- Large-cap 30%
- Mid-cap 11%
- Small-cap 3%
- Micro-cap 1%
This breakdown covers the equity portion of your portfolio only.
By market capitalization, the portfolio leans heavily into bigger companies: about 53% in mega-caps and 30% in large-caps, with smaller amounts in mid, small, and micro-caps. Large and mega-cap firms tend to be more established, widely followed, and often less volatile than very small companies, though they can still move significantly, especially in tech-related areas. This size mix aligns reasonably well with broad market benchmarks, which are also dominated by large names. The modest allocation to mid and smaller caps adds some extra growth potential and diversification without defining the overall risk profile, which is mainly driven by those huge global leaders in the top tiers.
True holdings
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XT iShares Core S&P Total U.S. Stock Market Index ETF 12.08%
Part of fund(s):- iShares Core Equity Portfolio
-
NV NVIDIA Corporation 10.98%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
- iShares Core Equity Portfolio
- iShares Core S&P Total U.S. Stock Market ETF
-
TS Taiwan Semiconductor Manufacturing 8.03%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
-
AV Broadcom Inc 7.87%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
- iShares Core Equity Portfolio
- iShares Core S&P Total U.S. Stock Market ETF
-
AS ASML Holding NV ADR 5.94%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
- iShares Core Equity Portfolio
- iShares Core MSCI EAFE IMI
-
AM Advanced Micro Devices Inc 3.62%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
-
AM Applied Materials Inc 2.96%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
-
LR Lam Research Corp 2.92%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
-
KL KLA Corporation 2.11%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
-
AR Arm Holdings plc American Depositary Shares 1.75%
Part of fund(s):- Global X Artificial Intelligence Semiconductor Index ETF
- Top 10 total 58.26%
This breakdown covers the equity portion of your portfolio only.
Looking through the ETFs, a few individual companies and one broad US fund stand out. A total US stock market ETF represents about 12% of the portfolio via underlying holdings. Specific AI and semiconductor names such as NVIDIA, Taiwan Semiconductor, Broadcom, ASML, and AMD together make up a meaningful share, with NVIDIA alone near 11%. Several of these appear across multiple ETFs, creating overlap that magnifies their influence. Because only top-10 ETF holdings are captured, true concentration is likely slightly higher than shown. This “hidden concentration” means that while the portfolio holds many securities indirectly, the performance of a relatively small group of big tech and chip names has an outsized impact.
Risk contribution
-
Global X Artificial Intelligence Semiconductor Index ETF
Weight: 50.00% 74.1% -
iShares Core Equity Portfolio
Weight: 50.00% 25.9%
Risk contribution shows how much each holding drives the portfolio’s overall ups and downs, not just how big it is. Here, the AI semiconductor ETF is half the portfolio by weight but contributes about 74% of total risk, meaning it punches well above its size. Its risk/weight ratio of 1.48 versus 0.52 for the core equity fund highlights its higher volatility. Put simply, this single thematic position largely sets the tone for day-to-day and month-to-month fluctuations. The broad core ETF, while equally sized, plays more of a stabilizing role. This concentration of risk in one holding is important to understand, especially across periods when AI and chip stocks move sharply.
Risk vs. return
This chart shows the Efficient Frontier, calculated using your current assets with different allocation combinations. It highlights the best balance between risk and return based on historical data. "Efficient" portfolios maximize returns for a given risk or minimize risk for a given return. Portfolios below the curve are less efficient. This is informational and not a recommendation to buy or sell any assets.
Click on the colored dots to explore allocations.
The risk–return chart compares the current mix with two theoretical alternatives built only from these holdings: the max-Sharpe “optimal” portfolio and the minimum-variance portfolio. The Sharpe ratio, a common risk-adjusted return measure, is about 0.78 for the current mix, versus 0.90 for both the optimal and minimum-variance options. Interestingly, the current portfolio sits on or very near the efficient frontier, meaning that for its chosen risk level the weighting is already quite efficient. The optimal mix would slightly lower both risk and expected return while improving the Sharpe number. This shows that even within the same two holdings, different splits can change the balance between volatility and return.
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