The semiconductor and artificial intelligence investment themes have become two of the most closely watched segments of the technology market. Although SMH and WTAI are often grouped together by investors seeking AI exposure, they are not direct competitors. SMH is a narrowly focused semiconductor fund, while WTAI is a broader, thematic AI and innovation strategy. This ETF comparison clarifies how each fund builds its sector exposure, how their holdings and cost structures differ, and how their relative positioning has evolved through recent market cycles.
SMH is a passively managed fund that seeks to replicate the MVIS US Listed Semiconductor 25 Index, which tracks the largest and most liquid US-listed semiconductor companies. The fund holds roughly 25 to 26 positions, making it highly concentrated by design. Its top holdings include NVDA, TSM, AVGO, AMD, TXN, ADI, MU, ASML, and KLAC. I also checked this using Tickeron’s AI Screener to see how the holdings line up against peers.
The portfolio is overwhelmingly tilted toward semiconductors and semiconductor equipment, with the largest single position historically accounting for close to 20% of assets. The fund's expense ratio is 0.35%. Its structure is passive and index-replicating, and it is among the most liquid semiconductor ETFs available, benefiting from substantial trading volume and large assets under management. Investors choose SMH primarily for targeted, high-conviction exposure to the chip cycle.
WTAI is a passively managed thematic fund that tracks the WisdomTree Artificial Intelligence & Innovation Index. Rather than focusing on a single industry, it targets companies across the globe that are primarily involved in AI and innovation, including semiconductor, software, cloud, and networking businesses. The fund holds roughly 57 securities and is classified as non-diversified.
Top holdings include MU, NVDA, AMZN, GOOGL, META, PANW, TSM, and AVGO, alongside non-US names such as Samsung Electronics, SK hynix, and Kioxia Holdings. Geographically, the fund is dominated by US listings but also includes meaningful South Korea, Japan, Taiwan, and Netherlands exposure. Its expense ratio is 0.45%. The fund offers a diversified, multi-sector way to capture the broader AI megatrend rather than a pure semiconductor bet.
Both funds operate within the powerful AI-driven technology cycle. Demand for advanced chips, memory, and data-center infrastructure has remained a central driver of capital spending, supporting the semiconductor industry that dominates SMH. At the same time, AI adoption is broadening into cloud platforms, cybersecurity, and enterprise software, which is the wider opportunity set captured by WTAI.
Key catalysts include sustained investment in AI infrastructure, rising memory prices, and growing enterprise deployment of AI tools. The principal risks are shared as well: valuation sensitivity, cyclicality in semiconductor demand, potential export-control and regulatory changes, and concentration risk in a small number of large technology names. Interest rate expectations also matter, because long-duration growth assets tend to be sensitive to shifts in rate policy.
In recent market cycles, SMH has tended to exhibit higher beta and sharper drawdowns because of its concentrated semiconductor exposure and its heavy weighting to a single dominant chipmaker. When the chip cycle accelerates, SMH has historically captured much of the upside; when sentiment cools, it has corrected more steeply.
WTAI, by contrast, has provided a more diversified return stream across semiconductors, software, and internet platforms. Its broader base has generally moderated both upside and downside relative to a pure chip fund. This difference in relative positioning means SMH suits investors with high conviction in the semiconductor cycle, while WTAI appeals to those seeking broad thematic AI exposure with somewhat lower single-industry risk.
When comparing funds like these, I often rely on Tickeron’s AI Screener to quickly filter ETFs by industry exposure, expense ratios, and recent performance trends. It helps surface how concentrated vehicles stack up against broader thematic ones without manual number-crunching. This kind of data-driven scan has become a regular part of my process for spotting structural differences early.
Based on observable structural factors, Tickeron's AI would currently favor SMH over WTAI. SMH offers a lower expense ratio, deeper liquidity, and a cleaner, higher-conviction exposure to the semiconductor cycle that sits at the heart of the AI buildout. Its concentrated positioning has historically translated into stronger trend consistency during semiconductor upswings. While WTAI provides valuable diversification and broader thematic reach, the AI's assessment leans toward SMH for its structural cost efficiency and focused sector momentum. This is a probabilistic evaluation based on fund characteristics, not a personalized recommendation.
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Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
The Aroon Indicator for SMH entered a downward trend on November 13, 2026. Tickeron's A.I.dvisor identified a pattern where the AroonDown red line was above 70 while the AroonUp green line was below 30 for three straight days. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options. A.I.dvisor looked at 135 similar instances where the Aroon Indicator formed such a pattern. In 120 of the 135 cases the stock moved lower. This puts the odds of a downward move at 89%.
The Momentum Indicator moved below the 0 level on October 30, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SMH as a result. In 70 of 81 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 86%.
The Moving Average Convergence Divergence Histogram (MACD) for SMH turned negative on October 09, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 49 similar instances when the indicator turned negative. In 41 of the 49 cases the stock turned lower in the days that followed. This puts the odds of success at 84%.
SMH moved below its 50-day moving average on October 14, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for SMH crossed bearishly below the 50-day moving average on October 20, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 14 of 17 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 82%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SMH declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 82%.
The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where SMH's RSI Oscillator exited the oversold zone, 22 of 22 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 51 of 56 cases where SMH's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.
Following a +8.86% 3-day Advance, the price is estimated to grow further. Considering data from situations where SMH advanced for three days, in 326 of 357 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
SMH may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows