Investors navigating the intersection of technology and sustainability find BOTZ, PBW, and SMH compelling for thematic exposure. BOTZ targets global robotics and artificial intelligence (AI) innovators, while SMH focuses on U.S.-listed semiconductor producers powering AI and computing. PBW, in contrast, emphasizes U.S. clean energy companies advancing renewables and conservation. These ETFs represent varied strategies: BOTZ's multi-sector thematic tilt, SMH's concentrated sector leadership, and PBW's equal-weighted purity in emerging green tech. Amid surging AI demand, energy transitions, and supply chain shifts, comparing their structures reveals tiered risk profiles—from SMH's high-conviction bets to PBW's broader diversification—positioning them for distinct roles in tech-oriented portfolios.
The Global X Robotics & Artificial Intelligence ETF (BOTZ) tracks the Indxx Global Robotics & Artificial Intelligence Thematic Index, seeking exposure to companies benefiting from robotics and AI adoption, including industrial automation, non-industrial robots, and autonomous vehicles. It holds 62 securities in a non-diversified, unconstrained global portfolio. Top holdings include KEY (9.42%), ABB (8.83%), FANUC (8.49%), NVDA (8.37%), and Intuitive Surgical (5.91%). Sector allocations feature industrials (44.8%), information technology (34.5%), and health care (9.6%). The expense ratio is 0.68%. BOTZ emphasizes thematic purity across developed markets without sector caps, distinguishing it as a broad AI enabler.
The Invesco WilderHill Clean Energy ETF (PBW) tracks the WilderHill Clean Energy Index, investing at least 90% in U.S.-listed stocks advancing cleaner energy, conservation, and zero-CO2 renewables. With 69 holdings, it uses a modified equal-dollar weighting to balance influence. Top holdings are SGML (2.45%), FCEL (2.39%), NVTS (2.32%), LAR (2.18%), and BE (2.11%). Sectors include industrials (42.57%), materials (19.70%), and information technology (18.53%). The expense ratio stands at 0.64%, with quarterly rebalancing and reconstitution. PBW prioritizes companies with technological relevance to pollution prevention, offering diversified clean energy exposure.
The VanEck Semiconductor ETF (SMH) replicates the MVIS US Listed Semiconductor 25 Index, targeting the largest, most liquid U.S.-exchange-listed semiconductor firms involved in production and equipment. It maintains 25-26 holdings in a market-cap-weighted, non-diversified structure (100% information technology). Top holdings feature NVDA (~17%), TSM (~10%), INTC (~8%), AVGO (~7%), and AMD (~6-7%). The expense ratio is 0.35%. SMH emphasizes global-scope leaders via depositary receipts, favoring liquidity and industry dominance for enhanced representation.
The semiconductor, robotics/AI, and clean energy sectors face intertwined macro drivers. AI data center expansion and electrification propel semiconductor demand, with global capacity concentrated in East Asia amid U.S. CHIPS Act incentives for reshoring. Capital flows favor power-dense assets, with clean energy capex rising at 12% CAGR since 2021 versus 3% for fossils, driven by grid modernization and 40% U.S. electricity demand growth by 2034. Robotics benefits from automation in renewables like solar assembly. Regulatory shifts, including FEOC rules and tariffs, spur domestic investment, while geopolitical tensions elevate energy security. Earnings growth in holdings reflects AI capex and transition tailwinds, though supply chain risks and policy volatility persist.
In recent months, SMH has outperformed with YTD returns around 57% and 1-year gains over 150%, fueled by semiconductor leaders' momentum in AI cycles, though its concentration amplifies volatility (beta ~1.8). BOTZ trails at ~14% YTD and 42% over one year, with steadier trends from diversified robotics exposure, showing lower drawdowns in non-tech rallies. PBW exhibits higher volatility tied to clean energy policy sensitivity, with modest recent positioning amid capex surges. Differences stem from SMH's cap-weighted tech purity versus BOTZ's multi-sector balance and PBW's equal-weight emerging focus, influencing macro sensitivities like rates and trade flows.
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 themes like tech and energy.
Tickeron’s AI favors SMH with moderate conviction (65-75% probability edge) due to its superior cost efficiency (0.35% expense ratio), liquidity from market-cap weighting, and momentum stability in AI-fueled cycles. While BOTZ offers better diversification and PBW limits concentration, SMH's risk-adjusted positioning in semiconductors—core to tech infrastructure—aligns with durable structural strengths amid capex trends.
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| BOTZ | PBW | SMH | |
| Gain YTD | 4.830 | 33.665 | 58.190 |
| Net Assets | 3.64B | 583M | 65.1B |
| Total Expense Ratio | 0.68 | 0.64 | 0.35 |
| Turnover | 12.11 | 62.00 | 12.00 |
| Yield | 0.59 | 0.60 | 0.18 |
| Fund Existence | 10 years | 21 years | 14 years |
| BOTZ | PBW | SMH | |
|---|---|---|---|
| RSI ODDS (%) | 3 days ago 83% | 3 days ago 90% | 3 days ago 81% |
| Stochastic ODDS (%) | 3 days ago 78% | 3 days ago 90% | 3 days ago 83% |
| Momentum ODDS (%) | 3 days ago 82% | 3 days ago 90% | N/A |
| MACD ODDS (%) | 3 days ago 84% | 3 days ago 90% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 85% | 3 days ago 90% | 3 days ago 86% |
| TrendMonth ODDS (%) | 3 days ago 84% | 3 days ago 89% | 3 days ago 90% |
| Advances ODDS (%) | 6 days ago 88% | 6 days ago 90% | 5 days ago 90% |
| Declines ODDS (%) | 3 days ago 82% | 20 days ago 90% | 3 days ago 82% |
| BollingerBands ODDS (%) | 3 days ago 88% | 3 days ago 90% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 90% | 3 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| MFs / NAME | Price $ | Chg $ | Chg % |
| DEVLX | 70.20 | -0.66 | -0.93% |
| Nomura Small Cap Value A | |||
| TNXAX | 10.70 | -0.15 | -1.40% |
| 1290 Loomis Sayles Multi-Asset Income A | |||
| ETIMX | 15.32 | -0.24 | -1.54% |
| Eventide Balanced Fund Class I | |||
| GSELX | 71.84 | -1.76 | -2.39% |
| Goldman Sachs US Equity Insights Instl | |||
| FDTRX | 212.11 | -12.12 | -5.41% |
| Franklin DynaTech R6 | |||
A.I.dvisor indicates that over the last year, BOTZ has been loosely correlated with NVDA. These tickers have moved in lockstep 59% 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% | -5.24% | ||
| NVDA - BOTZ | 59% Loosely correlated | -6.20% | ||
| SERV - BOTZ | 58% Loosely correlated | -7.90% | ||
| WRD - BOTZ | 55% Loosely correlated | -8.97% | ||
| HSAI - BOTZ | 51% Loosely correlated | -8.69% | ||
| SOUN - BOTZ | 51% Loosely correlated | -7.74% | ||
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A.I.dvisor indicates that over the last year, PBW has been closely correlated with ENVX. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is a high statistical probability that if PBW jumps, then ENVX could also see price increases.
| Ticker / NAME | Correlation To PBW | 1D Price Change % | ||
|---|---|---|---|---|
| PBW | 100% | -10.80% | ||
| ENVX - PBW | 66% Closely correlated | -12.92% | ||
| QS - PBW | 66% Loosely correlated | -15.53% | ||
| SLDP - PBW | 65% Loosely correlated | -11.45% | ||
| BLDP - PBW | 64% Loosely correlated | -18.95% | ||
| AMPX - PBW | 63% Loosely correlated | -12.64% | ||
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