The rapid advancement of artificial intelligence has heightened investor interest in technology-focused exchange-traded funds. Fidelity MSCI Information Technology Index ETF (FTEC) and WisdomTree Artificial Intelligence and Innovation Fund (WTAI) offer complementary yet differentiated approaches to this dynamic sector. FTEC provides broad, low-cost exposure to the U.S. information technology industry, whereas WTAI pursues a thematic mandate centered on artificial intelligence and innovation companies worldwide. These ETFs do not compete directly but instead represent alternative strategies for investors seeking technology exposure with varying degrees of thematic focus and diversification.
FTEC is a passively managed exchange-traded fund that seeks to track the performance of the MSCI USA IMI Information Technology 25/50 Index before fees and expenses. The fund holds approximately 280–290 securities, providing diversified exposure across the U.S. information technology sector. Top holdings typically include NVIDIA Corporation, Apple Inc., and Microsoft Corporation, which together account for a substantial portion of assets. Sector allocation is overwhelmingly concentrated in information technology. The expense ratio stands at 0.08%, reflecting its passive, market-capitalization-weighted methodology and low turnover. FTEC is structured as a non-diversified fund with high liquidity characteristics typical of large, established equity ETFs.
WTAI is a thematic exchange-traded fund designed to track the WisdomTree Artificial Intelligence & Innovation Index. The fund holds roughly 50–75 securities selected for their involvement in artificial intelligence and related innovation themes. Holdings feature a mix of U.S. and international companies, with notable exposure to South Korea and other developed and emerging markets. Sector allocations extend beyond pure information technology to include communication services and industrials where artificial intelligence applications are prominent. The expense ratio is 0.45%, consistent with its active thematic selection process. WTAI employs a rules-based methodology that rebalances periodically to maintain alignment with the innovation-focused index.
The information technology sector continues to be shaped by accelerating adoption of artificial intelligence technologies across enterprise and consumer applications. Capital flows into semiconductor, software, and data infrastructure companies have remained robust amid ongoing innovation cycles. Regulatory scrutiny of large technology platforms and potential antitrust developments represent ongoing considerations. Macroeconomic factors such as interest rate trajectories and capital expenditure trends among technology leaders influence sector performance. Geopolitical tensions affecting semiconductor supply chains and international trade policies add layers of complexity to global technology exposure.
In recent market cycles, FTEC has exhibited performance closely aligned with broad U.S. technology benchmarks, benefiting from strength in semiconductor and software leaders. WTAI has shown sensitivity to artificial intelligence-specific catalysts, with positioning that can lead to greater volatility during periods of rapid thematic rotation. Both funds have participated in technology sector advances driven by earnings growth in key holdings, yet WTAI’s narrower focus introduces higher concentration risk compared with FTEC’s broader market-cap weighting. Relative positioning reflects trade-offs between cost efficiency and thematic purity across varying market environments.
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 seeking to evaluate technology and artificial intelligence exposure may find the tool useful for refining their research process.
Based on structural strength, cost efficiency, and diversification profile, Tickeron’s AI would currently assign a higher probability of favorability to FTEC. The ETF’s significantly lower expense ratio, broader holdings base, and established passive methodology provide a more resilient framework for sustained technology exposure amid evolving artificial intelligence trends, while still capturing core sector momentum.
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| FTEC | WTAI | FTEC / WTAI | |
| Gain YTD | 29.037 | 43.926 | 66% |
| Net Assets | 21.3B | 728M | 2,926% |
| Total Expense Ratio | 0.08 | 0.45 | 19% |
| Turnover | 9.00 | 32.00 | 28% |
| Yield | 0.35 | 1.29 | 27% |
| Fund Existence | 13 years | 5 years | - |
| FTEC | WTAI | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 4 days ago 83% | 4 days ago 85% |
| Momentum ODDS (%) | 4 days ago 88% | 4 days ago 90% |
| MACD ODDS (%) | 4 days ago 90% | 4 days ago 89% |
| TrendWeek ODDS (%) | 4 days ago 89% | 4 days ago 88% |
| TrendMonth ODDS (%) | 4 days ago 89% | 4 days ago 90% |
| Advances ODDS (%) | 4 days ago 88% | 4 days ago 87% |
| Declines ODDS (%) | 19 days ago 83% | 20 days ago 81% |
| BollingerBands ODDS (%) | 4 days ago 90% | N/A |
| Aroon ODDS (%) | 6 days ago 81% | 4 days ago 90% |
A.I.dvisor indicates that over the last year, FTEC has been closely correlated with ONTO. These tickers have moved in lockstep 69% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTEC jumps, then ONTO could also see price increases.
| Ticker / NAME | Correlation To FTEC | 1D Price Change % | ||
|---|---|---|---|---|
| FTEC | 100% | +0.29% | ||
| ONTO - FTEC | 69% Closely correlated | +6.16% | ||
| RMBS - FTEC | 68% Closely correlated | +1.33% | ||
| VSH - FTEC | 66% Closely correlated | +4.43% | ||
| COHR - FTEC | 65% Loosely correlated | +6.60% | ||
| PENG - FTEC | 64% Loosely correlated | +6.44% | ||
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A.I.dvisor indicates that over the last year, WTAI has been closely correlated with STM. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if WTAI jumps, then STM could also see price increases.
| Ticker / NAME | Correlation To WTAI | 1D Price Change % | ||
|---|---|---|---|---|
| WTAI | 100% | +3.48% | ||
| STM - WTAI | 86% Closely correlated | +1.87% | ||
| TSM - WTAI | 78% Closely correlated | +2.85% | ||
| CLS - WTAI | 64% Loosely correlated | +0.81% | ||
| APPN - WTAI | 64% Loosely correlated | -6.00% | ||
| ANET - WTAI | 59% Loosely correlated | +1.22% | ||
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