In today's investment landscape, thematic ETFs like BOTZ and FTWO offer distinct pathways to high-growth sectors. BOTZ targets the transformative potential of robotics and artificial intelligence (AI), while FTWO emphasizes natural resources and national security amid geopolitical tensions and energy transitions. Though not direct competitors, they appeal to investors seeking alternatives to broad market exposure, balancing tech innovation with resource resilience. Comparing them highlights structural trade-offs in diversification, costs, and risk amid rising capital flows into AI and defense-related themes.
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 2016, it invests at least 80% of assets in companies involved in robotics and AI development, including industrial automation, non-industrial robots, and autonomous vehicles. With 62 holdings and $3.79 billion in assets under management (AUM), BOTZ features a 0.68% expense ratio.
Top holdings as of May 2026 include Keyence Corp (9.42%), ABB Ltd (8.83%), Fanuc Corp (8.49%), NVIDIA Corp (8.37%), and Intuitive Surgical Inc (5.91%), with the top 10 comprising about 58%. Sector allocations emphasize industrials (44.8%), information technology (34.5%), and health care (9.6%). The fund rebalances periodically to maintain thematic purity, offering global exposure across developed markets but with concentration risks inherent to non-diversified structures.
The Strive Natural Resources and Security ETF (FTWO), formerly Strive FAANG 2.0 ETF (name changed August 2024), is a passive ETF tracking the BFAANGST Index, focusing on U.S. and Canadian large- and mid-cap companies in national security and natural resource sectors like fuel, aerospace & defense, agriculture, nuclear, and precious metals. Inception in 2023, it maintains a low 0.49% expense ratio and around $79 million AUM, with approximately 50-55 holdings.
Top holdings include Deere & Co (9.89%), Constellation Energy Corp (9.25%), Exxon Mobil Corp (7.57%), Cameco Corp (4.93%), and GE Aerospace (4.48%), top 10 at ~55%. Sector breakdown features industrials (~32%), energy (~29%), and basic materials (~26%). Quarterly rebalancing ensures sector neutrality, providing cost-efficient access to resource security themes with emphasis on governance engagement.
Both ETFs operate in environments shaped by technological and geopolitical shifts. Robotics and AI benefit from surging capital inflows—AI-themed ETFs saw $19 billion in 2025—driven by data center expansion, physical AI advancements like humanoid robots, and policy support for automation amid labor shortages. Macro catalysts include AI's computing demands and reindustrialization, though risks encompass high valuations, regulatory scrutiny on AI ethics, and supply chain disruptions.
Natural resources and security sectors gain from elevated defense spending ($2.6 trillion globally), energy security imperatives, nuclear revival for AI power needs, and critical minerals demand. Geopolitical tensions boost gold, uranium, and agriculture plays, with U.S. policies like Section 232 tariffs enhancing domestic resilience. Headwinds include commodity volatility, trade barriers, and energy transition uncertainties.
In recent months through early 2026, BOTZ has navigated tech sector rotations, buoyed by AI leaders like NVDA amid earnings strength, though exhibiting higher volatility tied to interest rate sensitivity and valuation concerns. YTD returns around 10-15% reflect consistent trend strength in automation cycles.
FTWO has shown resilient positioning, with YTD gains of 12-15% and 1-year returns near 45%, propelled by energy and defense momentum from geopolitical developments and nuclear demand. Its lower beta and commodity diversification provide relative stability versus BOTZ's growth-oriented swings, aligning with sector rotations toward resources amid macro uncertainty.
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.
Tickeron’s AI currently favors FTWO with moderate probability due to its lower expense ratio, sector-neutral diversification across resilient resources, stronger recent relative positioning amid geopolitical tailwinds, and reduced concentration risk compared to BOTZ's tech-heavy profile. BOTZ remains compelling for pure AI growth exposure, but FTWO's cost efficiency and macro alignment edge it in current risk-reward dynamics.
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| BOTZ | FTWO | BOTZ / FTWO | |
| Gain YTD | 2.843 | 6.659 | 43% |
| Net Assets | 3.42B | 74.4M | 4,593% |
| Total Expense Ratio | 0.68 | 0.49 | 139% |
| Turnover | 12.11 | 21.00 | 58% |
| Yield | 0.59 | 1.01 | 59% |
| Fund Existence | 10 years | 3 years | - |
| BOTZ | FTWO | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 88% |
| Momentum ODDS (%) | 1 day ago 88% | 1 day ago 69% |
| MACD ODDS (%) | 1 day ago 82% | 1 day ago 85% |
| TrendWeek ODDS (%) | 1 day ago 85% | 1 day ago 70% |
| TrendMonth ODDS (%) | 1 day ago 84% | 1 day ago 72% |
| Advances ODDS (%) | 10 days ago 88% | 17 days ago 90% |
| Declines ODDS (%) | 2 days ago 82% | 2 days ago 72% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 86% | 1 day ago 76% |
A.I.dvisor indicates that over the last year, BOTZ has been loosely correlated with NVDA. These tickers have moved in lockstep 60% 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% | +2.81% | ||
| NVDA - BOTZ | 60% Loosely correlated | +2.22% | ||
| SERV - BOTZ | 58% Loosely correlated | +6.59% | ||
| WRD - BOTZ | 56% Loosely correlated | +3.11% | ||
| HSAI - BOTZ | 52% Loosely correlated | +3.02% | ||
| SOUN - BOTZ | 51% Loosely correlated | +3.70% | ||
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A.I.dvisor indicates that over the last year, FTWO has been closely correlated with AEM. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTWO jumps, then AEM could also see price increases.
| Ticker / NAME | Correlation To FTWO | 1D Price Change % | ||
|---|---|---|---|---|
| FTWO | 100% | +2.21% | ||
| AEM - FTWO | 73% Closely correlated | +3.46% | ||
| FNV - FTWO | 71% Closely correlated | -0.05% | ||
| NEM - FTWO | 70% Closely correlated | +5.20% | ||
| WPM - FTWO | 70% Closely correlated | +4.78% | ||
| RGLD - FTWO | 68% Closely correlated | +3.81% | ||
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