CIBR vs LRNZ

Key Takeaways

• CIBR provides passive exposure to a broad basket of cybersecurity companies, while LRNZ offers active, concentrated exposure to firms leveraging artificial intelligence (AI) and deep learning technologies.
• CIBR tracks an index with approximately 40 holdings focused on cybersecurity hardware, software, and services, whereas LRNZ maintains a smaller portfolio of 20-30 holdings selected for AI-driven competitive advantages.
• Expense ratios differ modestly, with CIBR at 0.58% and LRNZ at 0.69%, reflecting their respective passive and active management approaches.
• Sector allocations overlap in technology but diverge in emphasis: CIBR prioritizes cybersecurity infrastructure, while LRNZ targets AI application across multiple industries.
• Both ETFs exhibit thematic sensitivity to technology innovation cycles, regulatory developments in data protection, and capital spending on digital infrastructure, though their risk profiles vary due to concentration differences.
• Liquidity profiles favor CIBR due to higher assets under management (AUM) and trading volume compared with the more specialized LRNZ.

Introduction

Investors seeking thematic exposure to cybersecurity and artificial intelligence often evaluate specialized exchange-traded funds (ETFs) that target these high-growth areas. The First Trust Nasdaq Cybersecurity ETF (CIBR) and the TrueShares Technology, AI & Deep Learning ETF (LRNZ) represent distinct strategies within overlapping technology themes. CIBR delivers broad, rules-based access to cybersecurity firms, while LRNZ pursues active selection of companies advancing or applying AI and deep learning. These ETFs do not compete directly but offer complementary or alternative routes to similar investor objectives around digital transformation and innovation-driven growth.

First Trust Nasdaq Cybersecurity ETF (CIBR) Overview

The First Trust Nasdaq Cybersecurity ETF (CIBR) is a passively managed fund that seeks to track the performance of the Nasdaq CTA Cybersecurity Index. The index measures the performance of companies engaged in developing, manufacturing, or distributing cybersecurity hardware, software, or services. The ETF typically holds around 40 securities, with top holdings including CrowdStrike Holdings Inc. (CRWD), Palo Alto Networks Inc. (PANW), Fortinet Inc. (FTNT), Cisco Systems Inc. (CSCO), and Broadcom Inc. (AVGO). Sector allocation centers on technology, with meaningful exposure to information technology services and software. CIBR carries an expense ratio of 0.58% and employs a market-capitalization-weighted methodology with periodic rebalancing to maintain index alignment. Its structure emphasizes diversification across the cybersecurity value chain.

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

The TrueShares Technology, AI & Deep Learning ETF (LRNZ) is an actively managed fund that invests in a concentrated portfolio of technology companies significantly involved in the application of advanced artificial intelligence and deep learning. The ETF generally holds 20-30 positions selected for innovative AI solutions that confer competitive advantages. Representative holdings often include semiconductor and software firms with strong AI exposure. Sector allocation remains heavily weighted toward technology, with additional representation in related areas such as industrials or consumer discretionary where AI drives efficiency. LRNZ features an expense ratio of 0.69% and follows a discretionary rebalancing approach based on fundamental and thematic assessments rather than a fixed index. Its concentrated structure aims to capture high-conviction opportunities in the AI ecosystem.

Industry and Thematic Backdrop

The cybersecurity and artificial intelligence sectors operate within a dynamic technology environment shaped by accelerating digital adoption, evolving regulatory frameworks, and persistent geopolitical tensions around data security. Capital expenditures by enterprises on cloud infrastructure, threat detection, and machine learning platforms continue to support demand. Regulatory developments, including data privacy laws and export controls on advanced semiconductors, influence both industries. Macroeconomic factors such as interest rate expectations and corporate spending cycles affect capital allocation to these themes. Sector risks include rapid technological obsolescence, intense competition, and potential supply-chain disruptions, all of which can influence relative performance across specialized ETFs.

Performance and Positioning Comparison

In recent market cycles, CIBR has demonstrated sensitivity to cybersecurity-specific catalysts such as ransomware incidents and enterprise security budgets, resulting in volatility aligned with broader technology rotations. LRNZ, with its active AI focus, has shown responsiveness to advancements in generative AI models and semiconductor demand, often exhibiting higher concentration-driven dispersion during earnings seasons. Both ETFs have participated in technology sector momentum during periods of favorable interest rate sentiment, yet LRNZ’s narrower holdings have produced greater variability relative to CIBR’s more diversified cybersecurity basket. Relative positioning favors CIBR for investors prioritizing broad sector coverage and CIBR’s lower cost structure, while LRNZ appeals to those seeking targeted AI exposure.

AI Screener

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 like CIBR and LRNZ may find the tool useful for refining screens around sector exposure and momentum characteristics.

Tickeron AI Verdict

Based on structural strength, cost efficiency, and diversification profile, Tickeron’s AI would currently assign a modestly higher probability of favorable positioning to the First Trust Nasdaq Cybersecurity ETF (CIBR). Its passive index-tracking approach, lower expense ratio, and broader holdings reduce single-stock risk while maintaining relevant exposure to cybersecurity demand. LRNZ offers compelling thematic depth in AI but carries higher concentration and expense considerations that may temper relative appeal in balanced portfolios during uncertain market environments.

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.

Disclaimers and Limitations