FTEC vs LRNZ

Key Takeaways

• FTEC provides broad, passive exposure to the U.S. information technology sector through replication of the MSCI USA IMI Information Technology Index, while LRNZ employs an active, thematic strategy focused on companies leveraging artificial intelligence and deep learning.
• FTEC holds approximately 280–300 securities with significant concentration in mega-cap leaders such as NVIDIA Corporation (NVDA), Apple Inc. (AAPL), and Microsoft Corporation (MSFT); LRNZ maintains a concentrated portfolio of 20–30 holdings selected for AI relevance.
• The expense ratio of FTEC stands at 0.08%, reflecting its low-cost passive structure, whereas LRNZ charges 0.68%–0.69% due to active management and specialized research.
• FTEC delivers diversified sector exposure almost entirely within information technology, including semiconductors and software; LRNZ emphasizes a narrower subset of technology companies with explicit AI and machine-learning competitive advantages.
• Both ETFs target technology-driven growth but differ markedly in risk profile: FTEC offers broader diversification and lower costs, while LRNZ introduces higher concentration risk alongside targeted thematic upside potential.
• In the current environment of sustained artificial intelligence investment, FTEC suits investors seeking scalable, low-cost technology beta, whereas LRNZ appeals to those pursuing concentrated exposure to AI innovation leaders.

Introduction

Investors seeking technology sector exposure face a choice between broad market representation and specialized thematic strategies. The Fidelity MSCI Information Technology Index ETF (FTEC) and the TrueShares Technology, AI & Deep Learning ETF (LRNZ) both provide access to technology equities yet follow fundamentally different approaches. FTEC offers low-cost, rules-based coverage of the entire U.S. information technology sector, while LRNZ applies active management to select companies with meaningful artificial intelligence involvement. The comparison highlights structural trade-offs between diversification and thematic precision within the same overarching sector.

Fidelity MSCI Information Technology Index ETF (FTEC) Overview

The Fidelity MSCI Information Technology Index ETF (FTEC) is a passively managed exchange-traded fund that seeks to track the performance of the MSCI USA IMI Information Technology Index before fees and expenses. The fund holds roughly 280–300 securities, providing broad representation across the U.S. information technology sector. Top holdings typically include NVIDIA Corporation (NVDA), Apple Inc. (AAPL), Microsoft Corporation (MSFT), Broadcom Inc. (AVGO), and Micron Technology, Inc. (MU), which together account for a substantial portion of assets. Sector allocation is concentrated almost entirely in information technology, with meaningful weights in semiconductors, software, and hardware. The expense ratio is 0.08%. As a traditional index-tracking ETF, FTEC employs full replication with periodic rebalancing aligned to index changes. The structure emphasizes liquidity and cost efficiency for long-term sector exposure.

TrueShares Technology, AI & Deep Learning ETF (LRNZ) Overview

The TrueShares Technology, AI & Deep Learning ETF (LRNZ) is an actively managed exchange-traded fund that invests in a concentrated portfolio of technology companies significantly involved in artificial intelligence, machine learning, and deep learning applications. The fund generally holds 20–30 positions, selected based on the manager’s assessment of competitive advantages derived from these technologies. Top holdings commonly feature companies such as NVIDIA Corporation (NVDA), CrowdStrike Holdings Inc. (CRWD), Cloudflare Inc. (NET), and other AI-focused firms. Sector exposure centers on electronic technology and technology services, with additional allocation to health technology where AI applications are prominent. The expense ratio is 0.68%–0.69%. LRNZ follows a discretionary active strategy without a benchmark index, allowing flexibility in security selection and weighting to emphasize thematic AI exposure.

Industry and Thematic Backdrop

The technology sector continues to benefit from sustained capital investment in artificial intelligence infrastructure, data centers, and enterprise software solutions. Semiconductor demand remains elevated due to training and inference workloads, while software providers integrating AI capabilities experience accelerated adoption across industries. Regulatory developments around data privacy, export controls on advanced chips, and antitrust scrutiny of large technology platforms represent ongoing considerations. Macroeconomic factors including interest rate trajectories and corporate capital expenditure budgets influence near-term sentiment, yet the structural shift toward AI-driven productivity gains provides a durable tailwind for both broad technology and specialized AI strategies.

Performance and Positioning Comparison

Over recent market cycles, FTEC has delivered returns aligned with the broader technology sector, benefiting from the performance of its largest constituents during periods of semiconductor strength and software growth. Its diversified holdings provide a measure of resilience during rotations away from mega-cap names. LRNZ, with its concentrated active approach, has exhibited greater sensitivity to AI-specific news flow and earnings momentum among its holdings, resulting in higher volatility relative to broad technology benchmarks. In environments favoring thematic leadership, LRNZ can capture outsized gains from AI innovators; during broader sector pullbacks, its narrower focus may amplify downside moves. Relative positioning therefore depends on an investor’s preference for diversified sector beta versus concentrated thematic conviction.

AI Screener

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Tickeron AI Verdict

Based on structural strength, cost efficiency, and broad diversification, Tickeron’s AI would currently assign a higher probability of suitability to the Fidelity MSCI Information Technology Index ETF (FTEC) for most investors seeking technology exposure. Its low expense ratio and extensive holdings reduce single-stock risk while capturing sector-wide trends. The TrueShares Technology, AI & Deep Learning ETF (LRNZ) offers compelling thematic focus but carries higher costs and concentration risk that may suit only those with strong conviction in AI leadership outperformance.

Disclaimer

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.

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