In the rapidly evolving landscape of artificial intelligence (AI) and automation, investors seek targeted exposure through thematic exchange-traded funds (ETFs). The BOTZ and SMH ETFs represent complementary yet distinct strategies within this domain. BOTZ provides diversified access to robotics and AI applications across industries, while SMH focuses on the semiconductor backbone powering these technologies. Comparing them highlights trade-offs in diversification, sector purity, costs, and sensitivity to AI hardware demand. As capital flows into tech amid ongoing innovation cycles, understanding their structural differences aids portfolio positioning for sector exposure versus thematic breadth.
The Global X Robotics & Artificial Intelligence ETF (BOTZ) is a passively managed thematic ETF that seeks to track the Indxx Global Robotics & Artificial Intelligence Thematic Index. Launched in September 2016 by Global X (Mirae Asset Global Investments), it invests at least 80% of its assets in companies benefiting from robotics and AI adoption, including industrial automation, non-industrial robots, and autonomous vehicles.
Key structural features include approximately 62 holdings, with top 10 accounting for about 58%: Keyence Corp (9.4%), ABB Ltd (8.8%), Fanuc Corp (8.5%), NVDA (8.4%), and Intuitive Surgical Inc (5.9%). Sector allocations (as of April 2026) emphasize industrials (44.8%), information technology (34.5%), and health care (9.6%). The expense ratio is 0.68%, with semi-annual distributions. Non-diversified by design, it offers global exposure across developed markets, rebalanced periodically by the index provider to reflect thematic relevance.
The VanEck Semiconductor ETF (SMH) is a passively managed sector ETF tracking the MVIS US Listed Semiconductor 25 Index. Issued by VanEck since December 2011, it invests at least 80% of assets in U.S.-exchange-listed companies involved in semiconductor production and equipment, including depositary receipts.
With 26 holdings, it is highly concentrated: top 10 represent over 71%, led by NVDA (17%), Taiwan Semiconductor Manufacturing Co (TSM, 10.5%), Broadcom Inc (AVGO, 8%), INTC (7%), and AMD (6.2%). Sector allocation is 100% information technology. The expense ratio stands at 0.35%, with quarterly distributions. The market-cap-weighted index selects the top 25 by liquidity and size, applying caps for diversification, and rebalances quarterly.
The semiconductor and robotics/AI sectors operate amid robust macro tailwinds, with global chip sales projected to reach $975 billion in 2026, driven by AI infrastructure buildout and data center expansion. Catalysts include surging demand for advanced chips in generative AI, edge computing, and automation, alongside policy support like the CHIPS Act for U.S. manufacturing reshoring. Capital flows favor semiconductors as the "industry of industries," enabling robotics advancements.
Risks encompass supply chain vulnerabilities, U.S.-China trade tensions, and potential AI investment slowdowns. Robotics benefits from labor shortages, aging demographics, and humanoid robot development, with market growth from $108 billion to $416 billion by 2035. Both themes face cyclical pressures from interest rate shifts and geopolitical developments, yet structural demand from AI adoption persists.
In recent market cycles, SMH has demonstrated superior relative positioning, benefiting from semiconductor leaders' earnings momentum in AI hardware. Over multi-year periods, SMH's annualized returns have outpaced BOTZ, reflecting concentrated exposure to high-growth chipmakers amid sector rotation toward infrastructure enablers. BOTZ, with broader diversification, exhibits lower volatility but trails in up-cycles driven by NVDA and peers.
Volatility profiles align with tech beta above 1.5 versus the S&P 500, amplified for SMH by top-heavy structure. Performance dynamics tie to AI compute demand, commodity trends in rare earths, and interest rate expectations favoring growth sectors. BOTZ gains from automation tailwinds, while SMH leverages chip supply constraints and geopolitical pushes for domestic production.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization (market cap), technical indicators, price patterns, and performance metrics. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions across asset classes like thematic ETFs.
Tickeron’s AI currently favors SMH with moderate probability due to its cost efficiency (0.35% expense ratio), structural alignment with surging semiconductor momentum, and consistent trend strength in AI infrastructure cycles. While BOTZ offers superior diversification, SMH's concentrated exposure to sector leaders enhances return potential amid observable capital flows, tempered by higher single-stock risk.
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| BOTZ | SMH | BOTZ / SMH | |
| Gain YTD | 0.966 | 71.860 | 1% |
| Net Assets | 3.42B | 73.4B | 5% |
| Total Expense Ratio | 0.68 | 0.35 | 194% |
| Turnover | 12.11 | 12.00 | 101% |
| Yield | 0.59 | 0.18 | 320% |
| Fund Existence | 10 years | 15 years | - |
| BOTZ | SMH | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 86% | 1 day ago 79% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 82% |
| Momentum ODDS (%) | 1 day ago 84% | 1 day ago 90% |
| MACD ODDS (%) | 4 days ago 86% | 1 day ago 86% |
| TrendWeek ODDS (%) | 1 day ago 85% | 1 day ago 90% |
| TrendMonth ODDS (%) | 1 day ago 84% | 1 day ago 90% |
| Advances ODDS (%) | 24 days ago 88% | 4 days ago 90% |
| Declines ODDS (%) | 1 day ago 82% | 1 day ago 82% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 81% |
| Aroon ODDS (%) | 1 day ago 87% | 1 day ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| CPAG | 102.87 | 0.56 | +0.55% |
| F/m Compoundr U.S. Aggregate Bond ETF | |||
| DIHP | 33.56 | -0.01 | -0.04% |
| Dimensional International High Pbly ETF | |||
| PIPE | 29.67 | -0.32 | -1.06% |
| Invesco SteelPath MLP & Energy Infrastructure ETF | |||
| DJP | 43.16 | -0.91 | -2.06% |
| iPath® Bloomberg Cmdty TR ETN | |||
| DGP | 128.29 | -9.25 | -6.73% |
| DB Gold Double Long ETN | |||
A.I.dvisor indicates that over the last year, BOTZ has been loosely correlated with NVDA. These tickers have moved in lockstep 61% of the time. This A.I.-generated data suggests there is some statistical probability that if BOTZ jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To BOTZ | 1D Price Change % | ||
|---|---|---|---|---|
| BOTZ | 100% | -0.16% | ||
| NVDA - BOTZ | 61% Loosely correlated | -0.52% | ||
| SERV - BOTZ | 58% Loosely correlated | -4.21% | ||
| WRD - BOTZ | 57% Loosely correlated | -2.61% | ||
| HSAI - BOTZ | 53% Loosely correlated | -1.73% | ||
| SOUN - BOTZ | 52% Loosely correlated | -1.55% | ||
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A.I.dvisor indicates that over the last year, SMH has been closely correlated with LRCX. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMH jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To SMH | 1D Price Change % | ||
|---|---|---|---|---|
| SMH | 100% | -0.50% | ||
| LRCX - SMH | 86% Closely correlated | +0.93% | ||
| KLAC - SMH | 84% Closely correlated | -1.64% | ||
| AMAT - SMH | 83% Closely correlated | +0.53% | ||
| TSM - SMH | 81% Closely correlated | +1.02% | ||
| ASML - SMH | 80% Closely correlated | -0.88% | ||
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