In the rapidly evolving technology landscape, investors face choices between broad sector exposure and targeted thematic strategies. The AIQ and FTEC ETFs represent complementary approaches within the information technology space. AIQ focuses on companies poised to benefit from artificial intelligence (AI) and big data advancements, offering global diversification. FTEC, meanwhile, tracks the comprehensive U.S. information technology sector, capturing established leaders across hardware, software, and services. Comparing these funds highlights trade-offs in cost, diversification, geographic reach, and growth potential, particularly amid surging AI adoption and sector rotation trends. This analysis equips investors to align exposure with risk tolerance and market outlook.
The Global X Artificial Intelligence & Technology ETF (AIQ) is a passively managed thematic ETF that seeks to replicate the Indxx Artificial Intelligence & Big Data Index. This index targets companies involved in AI development, utilization, and hardware for big data analysis, adopting an unconstrained approach across sectors and geographies. The fund holds 84 securities, with the top 10 comprising about 40% of assets. Key holdings include SK Hynix Inc. (6.31%), Micron Technology Inc. (MU, 5.08%), Intel Corp. (INTC, 5.07%), Samsung Electronics Co Ltd. (4.75%), and Advanced Micro Devices Inc. (AMD, 4.59%).
Sector allocations emphasize information technology at 75.7%, followed by communication services (9.6%), consumer discretionary (8.5%), and industrials (5.5%). Geographically diverse, AIQ allocates roughly 67% to the U.S., with notable exposure to South Korea, Taiwan, and others. The expense ratio stands at 0.68%, reflecting its specialized strategy. With assets under management (AUM) around $9.76 billion and a tight 30-day median bid-ask spread of 0.02%, AIQ offers solid liquidity for a thematic fund.
The Fidelity MSCI Information Technology Index ETF (FTEC) is a passive ETF tracking the MSCI USA IMI Information Technology 25/50 Index, which includes large-, mid-, and small-cap U.S. equities classified in the information technology sector under Global Industry Classification Standard (GICS). It holds 284 securities for broad exposure, with the top 10 accounting for approximately 60% of assets. Leading positions are NVIDIA Corp. (NVDA, 18.83%), Apple Inc. (AAPL, 14.29%), Microsoft Corp. (MSFT, 9.91%), Broadcom Inc. (AVGO, 4.86%), and Micron Technology Inc. (MU, 2.64%).
Nearly 100% allocated to information technology, FTEC maintains pure sector focus, with sub-industries spanning semiconductors, software, and hardware. The expense ratio is a low 0.08%, supporting cost efficiency. AUM exceeds $19 billion, underpinned by high trading volume and strong liquidity. The index applies 25/50 diversification constraints to comply with regulatory investment company (RIC) limits, ensuring balanced positioning.
The information technology sector remains a cornerstone of global growth, fueled by AI proliferation, cloud computing expansion, and semiconductor demand. AI thematic ETFs like AIQ have seen robust capital inflows, with the theme capturing tens of billions in assets amid projections of the generative AI market expanding from $434 billion in 2026 to $2.5 trillion by 2031. Broader tech flows favor infrastructure plays, as capital expenditures (CapEx) for data centers and chips accelerate. Macro drivers include moderating interest rates, easing supply chain pressures, and geopolitical emphasis on domestic semiconductor production via CHIPS Act incentives. Risks encompass valuation stretches in mega-caps, regulatory scrutiny on AI ethics, and potential sector rotation toward energy or industrials if economic slowdowns emerge. Both ETFs are well-positioned amid these catalysts, with AIQ capturing niche innovation and FTEC anchoring established leaders.
In recent market cycles, both ETFs have benefited from technology leadership, particularly AI-fueled rallies in semiconductors and software. FTEC's heavy concentration in top U.S. performers like NVDA and AAPL has driven strong relative returns over multi-year periods, often outpacing broader benchmarks amid earnings growth from cloud and hardware segments. AIQ, with its global AI tilt, has shown resilience in thematic rotations, gaining from international chipmakers during supply chain recoveries and AI hype cycles. Volatility profiles differ: FTEC's broader diversification tempers drawdowns, while AIQ's thematic focus amplifies swings tied to AI sentiment. Recent weeks reflect sector momentum from positive interest rate outlooks and CapEx announcements, positioning FTEC for stability and AIQ for upside in continued AI adoption.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that empowers traders and investors to filter thousands of assets using customizable criteria. It scans based on technical patterns like moving averages and RSI (Relative Strength Index, a momentum oscillator measuring speed and change of price movements), fundamentals such as P/E ratios and revenue growth, trends including sector momentum, volatility metrics like beta, and proprietary AI-driven signals for pattern recognition and predictive insights. Users can target specific industries, market capitalizations, price patterns, breakout candidates, or performance thresholds to uncover trade ideas and market opportunities efficiently. Beyond manual screening, the AI Screener identifies hidden gems in real-time, saving hours of analysis. Explore it today to enhance your ETF comparison and discovery process.
Tickeron’s AI currently favors FTEC with moderate conviction (65-75% probability edge). Its superior cost efficiency (0.08% expense ratio), extensive diversification (284 holdings), dominant U.S. sector momentum, and consistent trend alignment outweigh AIQ's thematic appeal in the current environment. While AIQ excels in targeted AI exposure, FTEC's structural advantages and lower risk profile position it better for sustained outperformance across market cycles.
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.
| AIQ | FTEC | AIQ / FTEC | |
| Gain YTD | 25.836 | 24.274 | 106% |
| Net Assets | 10.5B | 20.4B | 51% |
| Total Expense Ratio | 0.68 | 0.08 | 810% |
| Turnover | 15.52 | 9.00 | 172% |
| Yield | 0.14 | 0.33 | 43% |
| Fund Existence | 8 years | 13 years | - |
| AIQ | FTEC | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 80% | 4 days ago 82% |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 88% |
| Momentum ODDS (%) | 4 days ago 80% | 4 days ago 79% |
| MACD ODDS (%) | 4 days ago 80% | 4 days ago 86% |
| TrendWeek ODDS (%) | 4 days ago 88% | 4 days ago 89% |
| TrendMonth ODDS (%) | 4 days ago 88% | 4 days ago 89% |
| Advances ODDS (%) | 4 days ago 89% | 4 days ago 88% |
| Declines ODDS (%) | 6 days ago 82% | 6 days ago 82% |
| BollingerBands ODDS (%) | 4 days ago 83% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 86% | 4 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| NBOS | 27.91 | 0.16 | +0.57% |
| Neuberger Option Strategy ETF | |||
| PFDE | 27.49 | 0.13 | +0.49% |
| Pathfinder Disciplined US Equity ETF | |||
| TDEC | 26.09 | 0.03 | +0.10% |
| FT Vest Emerging Mkts Buffr ETF - Dec | |||
| BSCQ | 19.56 | -0.01 | -0.03% |
| Invesco BulletShares 2026 Corp Bd ETF | |||
| EEA | 10.62 | -0.12 | -1.12% |
| European Equity Fund (The) | |||
A.I.dvisor indicates that over the last year, AIQ has been closely correlated with STM. These tickers have moved in lockstep 84% of the time. This A.I.-generated data suggests there is a high statistical probability that if AIQ jumps, then STM could also see price increases.
A.I.dvisor indicates that over the last year, FTEC has been closely correlated with NVDA. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTEC jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To FTEC | 1D Price Change % | ||
|---|---|---|---|---|
| FTEC | 100% | +0.61% | ||
| NVDA - FTEC | 76% Closely correlated | +0.16% | ||
| LRCX - FTEC | 70% Closely correlated | +1.18% | ||
| AVGO - FTEC | 69% Closely correlated | -0.91% | ||
| CEVA - FTEC | 69% Closely correlated | +1.08% | ||
| KLAC - FTEC | 67% Closely correlated | +5.55% | ||
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