Investors seeking exposure to artificial intelligence and advanced technology often evaluate specialized ETFs that target distinct segments of the innovation chain. The Invesco AI and Next Gen Software ETF (IGPT) and the VanEck Semiconductor ETF (SMH) both align with AI-driven growth themes but pursue different strategies within the broader technology sector. IGPT emphasizes companies advancing software development and AI applications globally, while SMH concentrates on semiconductor producers and equipment makers essential to hardware infrastructure. These ETFs serve as complementary or alternative vehicles depending on an investor’s preference for thematic breadth versus sector specificity.
The Invesco AI and Next Gen Software ETF (IGPT) is a passive ETF that seeks to track the STOXX World AC NexGen Software Development Index. The index selects companies from developed and emerging markets that derive at least 50% of revenue from technologies or products supporting future software development. The fund holds approximately 101 securities and maintains a global allocation with heavy weighting toward the United States. Top holdings typically include Advanced Micro Devices Inc. (AMD), Meta Platforms Inc. (META), Micron Technology Inc. (MU), NVIDIA Corporation (NVDA), and Alphabet Inc. Class A (GOOGL). Sector allocation centers on technology and communication services. IGPT features an expense ratio of 0.57% and rebalances quarterly in March, June, September, and December. Its thematic focus on AI and next-generation software distinguishes it as a revenue-weighted strategy rather than a traditional market-cap approach.
The VanEck Semiconductor ETF (SMH) is a passive ETF designed to replicate the MVIS US Listed Semiconductor 25 Index. The index tracks the performance of the 25 largest and most liquid U.S.-listed companies involved in semiconductor production and equipment. SMH maintains a concentrated portfolio of 25 to 27 holdings, resulting in significant exposure to a narrow group of leaders. Prominent positions include NVIDIA Corporation (NVDA), Taiwan Semiconductor Manufacturing Co Ltd (TSM), Advanced Micro Devices Inc. (AMD), Broadcom Inc. (AVGO), and Micron Technology Inc. (MU). The fund allocates nearly all assets to the technology sector, primarily information technology. SMH carries a lower expense ratio of 0.35% and follows a market-cap weighted methodology with liquidity and revenue thresholds. Its non-diversified structure and annual rebalancing emphasize pure-play semiconductor exposure.
The semiconductor and AI software sectors continue to benefit from sustained demand for advanced computing, data centers, and machine learning applications. Capital flows into technology infrastructure have accelerated amid enterprise adoption of generative AI tools and expansion of cloud services. Macroeconomic drivers include ongoing digital transformation, 5G deployment, and automotive electrification, all of which rely on semiconductor supply chains. Regulatory developments around export controls on advanced chips and potential antitrust scrutiny of dominant technology platforms introduce risks. Geopolitical tensions affecting Taiwan and global supply chains remain relevant considerations for both ETFs. Sector momentum in recent market cycles has been supported by earnings growth from leading chipmakers and software innovators, though valuation multiples and interest rate sensitivity influence relative performance.
In recent weeks and months, both ETFs have reflected broader technology sector rotation driven by AI enthusiasm and semiconductor demand cycles. SMH’s concentrated semiconductor focus has positioned it to capture hardware-led rallies tied to chip production capacity expansions and memory cycle recoveries. IGPT’s inclusion of software and platform companies has provided exposure to recurring revenue models and AI application growth, potentially offering different volatility characteristics during earnings seasons. Relative positioning highlights SMH’s sensitivity to manufacturing utilization rates and capital expenditure trends, while IGPT responds more directly to software adoption metrics and digital transformation spending. Both funds exhibit elevated volatility compared to broad market indices due to their thematic concentrations, with performance differentials often tied to shifts in interest rate expectations and commodity trends affecting component costs.
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, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Investors comparing thematic ETFs such as IGPT and SMH may find the tool useful for generating additional ideas aligned with their strategies.
Based on observable factors including lower expense ratio, established liquidity profile, and direct alignment with semiconductor momentum that underpins AI hardware infrastructure, Tickeron’s AI would currently assign a probabilistic preference to the VanEck Semiconductor ETF (SMH). Its concentrated structure and cost efficiency may offer a structural edge in capturing sector-specific trends, though outcomes remain dependent on prevailing market conditions and individual risk tolerance.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
| IGPT | SMH | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 89% | 4 days ago 77% |
| Stochastic ODDS (%) | 4 days ago 80% | 4 days ago 84% |
| Momentum ODDS (%) | 4 days ago 85% | 4 days ago 90% |
| MACD ODDS (%) | 4 days ago 77% | 4 days ago 90% |
| TrendWeek ODDS (%) | 4 days ago 83% | 4 days ago 87% |
| TrendMonth ODDS (%) | 4 days ago 89% | 4 days ago 90% |
| Advances ODDS (%) | 8 days ago 90% | 8 days ago 90% |
| Declines ODDS (%) | 5 days ago 83% | 4 days ago 81% |
| BollingerBands ODDS (%) | 4 days ago 90% | 4 days ago 78% |
| Aroon ODDS (%) | 4 days ago 90% | 4 days ago 82% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| IPOS | 20.98 | 0.32 | +1.56% |
| Renaissance International IPO ETF (IPOS) | |||
| FNGS | 84.22 | 0.67 | +0.80% |
| MicroSectors FANG+ ETN (FNGS) | |||
| BBIN | 77.54 | 0.52 | +0.68% |
| JPMorgan BetaBuilders International Equity ETF (BBIN) | |||
| CHGX | 33.05 | N/A | N/A |
| EA SERIES TRUST STANCE SUSTAINABLE BETA ETF | |||
| MYLD | 32.45 | -0.24 | -0.74% |
| Cambria Micro and SmallCap Shareholder Yield ETF (MYLD) | |||
A.I.dvisor indicates that over the last year, IGPT has been loosely correlated with EMR. These tickers have moved in lockstep 50% of the time. This A.I.-generated data suggests there is some statistical probability that if IGPT jumps, then EMR could also see price increases.
| Ticker / NAME | Correlation To IGPT | 1D Price Change % | ||
|---|---|---|---|---|
| IGPT | 100% | +0.21% | ||
| EMR - IGPT | 50% Loosely correlated | +1.74% | ||
| P - IGPT | 49% Loosely correlated | +2.60% | ||
| HPE - IGPT | 48% Loosely correlated | +3.46% | ||
| AME - IGPT | 47% Loosely correlated | +0.43% | ||
| DELL - IGPT | 44% Loosely correlated | +2.00% | ||
More | ||||