My Top 4 AI Investments To Get Rich in 2026 (DON'T MISS OUT)

Key Concepts

• Artificial Intelligence (AI) Market Growth: Projected to expand significantly, with a compound annual growth rate (CAGR) of over 38% through 2034.
• Generative AI: Its impact extends beyond chatbots and videos, revolutionizing industries like material science, gene sequencing, and drug discovery.
• AI Investment Strategy: Focus on diversified ETFs to gain exposure to the AI revolution without relying on picking individual winning stocks.
• Phases of AI Era:
  • Semiconductors: The foundational chips powering AI.
  • AI Data Centers and Edge Devices: The infrastructure built upon semiconductors.
  • Software and Services: Applications running on top of the infrastructure.
• ETFs Discussed:
  • VGT (Vanguard Information Technology ETF)
  • SMH (VanEck Semiconductor ETF)
  • CHAT (Roundhill Generative AI Technology ETF)
  • CIBR (First Trust NASDAQ Cybersecurity ETF)
• Importance of Diversification and Overlap: Selecting funds with overlapping top holdings ensures broader exposure to leading AI companies.
• Long-Term Investment Horizon: Emphasis on investing for at least three to five years.

AI Revolution and Investment Opportunities

The global artificial intelligence market is poised for explosive growth, projected to increase nearly 19-fold over the next nine years, with a compound annual growth rate (CAGR) exceeding 38% through 2034. This growth rate is significantly higher than the S&P 500's average returns over the past 15 years. The video advocates for investing in AI through Exchange Traded Funds (ETFs) to achieve broad exposure and mitigate the risk of picking individual stocks. The presenter, with a background in electrical engineering and data science and 10 years of industry experience, emphasizes a long-term investment approach (3-5 years) and investing only in what is understood, particularly AI and the chips that power it.

Generative AI's Broad Impact

Generative AI's influence is far-reaching, impacting critical industries beyond consumer applications like chatbots and videos. An example from Jonathan Godwin, CEO of Orbital Materials, illustrates this:

• Material Science: Within 6 months of adopting generative AI, material scientists achieved record discovery rates for advanced materials used in solar cells, solid-state batteries, AI chips, quantum computers, aerospace, and robotics.
• Patents: Record patent filings were observed within 8 months of AI adoption.
• Prototypes: A record number of new product prototypes were being tested by month 17. Similar advancements are being seen across gene sequencing, drug discovery, physics-based modeling, weather simulation, robotics, self-driving cars, and entertainment, evidenced by increased research papers, patents, and prototypes.

Recommended AI ETFs

The video presents four ETFs as a strategy to "win no matter which AI companies come out on top," aiming for diversification and exposure to different phases of the AI revolution.

1. Vanguard Information Technology ETF (VGT)

VGT is presented as a foundational fund for any AI-focused portfolio due to its broad coverage of the technology sector.

• Holdings: 314 companies, offering a balance between diversification and concentration.
• Focus: Exclusively comprises companies in semiconductors, hardware, system software, and applications – industries directly benefiting from generative AI. It excludes companies like Costco, T-Mobile, Pepsi, and Coca-Cola.
• Performance: Outperforms the S&P 500 and NASDAQ by allowing its winners to grow.
• Top Holdings (60% of fund): Nvidia, Microsoft, Broadcom, Palantir, AMD, and Micron. Nvidia and Microsoft alone constitute over 30% of the fund.
• Fees: Lower expense ratio compared to SPY and Triple Qs, contributing to faster compounding.
• Significance: Considered the single best fund for broad AI era exposure.

2. VanEck Semiconductor ETF (SMH)

SMH targets the crucial semiconductor phase of the AI revolution.

• Focus: Concentrated fund holding 25 companies, with the top five (Nvidia, Taiwan Semiconductor, Broadcom, AMD, Micron) making up nearly 50% of the fund.
• Strategy: Used to gain additional, concentrated exposure to semiconductors on top of VGT.
• Fees: Low expense ratio of 0.35% per year.
• Performance:
  • Over 40% year-to-date return.
  • 250% return since 2020.
  • A $10,000 investment in 2011 would be worth $270,000 today.
• Market Outlook: The global AI chip market is expected to grow nearly 9-fold over the next 8 years (31% CAGR through 2033), more than double the S&P 500's growth rate.

3. Roundhill Generative AI Technology ETF (CHAT)

CHAT focuses on companies developing and leveraging generative AI technologies.

• Holdings: Tracks 44 companies across four key areas:
  • Platforms: Companies developing AI tools for developers.
  • Infrastructure: Providers of chips and hardware for AI models.
  • Software: Companies building AI applications for businesses and consumers.
• Top Holdings: Nvidia, Google, Microsoft, AMD, Broadcom, Tencent, Amazon, and Meta Platforms, reflecting their extensive AI ecosystems.
• Software Focus: Includes strong pure-play software companies like Palantir, Cloudflare, Snowflake, and ServiceNow.
• Management: Actively managed, leading to a higher expense ratio of 0.75%, but offering diversified stock selection and rebalancing.
• Age: The youngest fund on the list, launched 2.5 years ago.
• Performance:
  • Almost 50% year-to-date return.
  • Over 130% return since inception.
• Significance: Captures the combined growth across hardware, software, and services in the AI market.

4. First Trust NASDAQ Cybersecurity ETF (CIBR)

CIBR targets the cybersecurity market, which is increasingly impacted and driven by AI advancements.

• Market Outlook: The global cloud security market is projected to grow nearly 4-fold by 2032 (22% annual growth).
• AI's Impact on Cybersecurity: AI is being used by malicious actors for sophisticated phishing attacks, deepfakes, ransomware, and identifying vulnerabilities, necessitating enhanced security measures.
• Holdings: 33 companies, with the top 10 (including Crowdstrike, Broadcom, Palo Alto Networks, Zscaler, and Fortinet) making up over 60% of the fund.
• Fees: Expense ratio of 0.59%, positioned between SMH and CHAT.
• Performance:
  • 17% year-to-date return.
  • 105% return over the last 5 years.
• Rationale: As AI evolves, cybersecurity markets are expected to grow even faster to protect companies and assets.

Framework for AI Investment

The video proposes a framework for investing in the AI era, drawing parallels with the rise of the mobile internet.

• Mobile Internet Case Study (Morgan Stanley Research):
  • Phases: Semiconductors, Infrastructure, Software & Services.
  • Performance: High-margin software and services companies show the best long-term performance but rise last.
  • Timeline: General-purpose technologies like mobile internet and AI evolve over a decade or more. The mobile internet's rise spanned from the first iPhone (2007) to the widespread adoption of 5G and apps like TikTok.
• AI Era Phases:
  1. Semiconductors: The foundational chips (e.g., Nvidia).
  2. AI Data Centers and Edge Devices: Infrastructure built on chips (e.g., AI hardware, robotics, self-driving cars).
  3. Software and Services: Applications running on the infrastructure (e.g., AI platforms, AI-powered software).

The recommended ETFs align with these phases: SMH for semiconductors, VGT for broad technology infrastructure and applications, and CHAT for generative AI technologies encompassing platforms, infrastructure, and software. CIBR addresses a critical adjacent market driven by AI.

Conclusion and Key Takeaways

The video emphasizes a strategic approach to investing in the AI revolution by utilizing diversified ETFs that offer exposure to key companies and market segments. The presenter's personal investment philosophy centers on long-term holdings, understanding the investments, and leveraging ETFs to achieve broad market participation without the risk of individual stock selection. The overlap in top holdings across the recommended ETFs (Nvidia, Microsoft, Broadcom, AMD, Taiwan Semiconductor) reinforces the strategy of gaining concentrated exposure to the leading players in the AI ecosystem. The core message is to "get rich without getting lucky" by investing in the inevitable growth of AI through well-chosen funds.

Notable Quote: "The best investment you can make is in you." - Alex (Tickerol U)