Investors Reweighting the Tech Sector and Mag7

Key Concepts:

• Relief rally
• Targeted buying opportunities
• Valuation erosion
• Structural disruption
• Total Addressable Market (TAM)
• Geopolitics in technology stocks
• Domestically-focused tech companies
• Long-term investment
• Granular exposure
• Behavioral coaching
• Infrastructure build-out
• Data centers
• Technology stack
• Digital infrastructure

1. Market Overview and Relief Rally

• The market is experiencing a relief rally with strong volumes in specific areas.
• Investors are actively seeking buying opportunities in sectors like artificial intelligence (AI) and small-cap stocks.
• The recent price drops (10-20%) in these areas are seen as attractive entry points for long-term investors.

2. Targeted Opportunities and Valuation Erosion

• Investors are becoming more selective, focusing on targeted opportunities with lower valuations.
• The valuation erosion in certain chip stocks is considered to have reached a suitable buying price.
• Clients express strong interest in AI due to its structural disruption and massive Total Addressable Market (TAM).
• Concerns about over-hyped valuations in AI have diminished due to the recent price corrections (20% off since the beginning of the year).
• Despite short-term market fluctuations, the long-term conviction in AI remains strong.

3. Geopolitical Considerations and Domestic Tech Exposure

• A strategy focused on removing geopolitics from technology stocks is highlighted.
• The tech sector's global integration (over 60% of revenue from overseas) makes it vulnerable to geopolitical risks.
• The strategy involves isolating companies that primarily hire, build, and sell within the United States.
• This approach aims to maintain tech exposure and growth while limiting the impact of global supply chains.
• The portfolio underweights MAG7 stocks and communication sector stocks due to their global integration.
• It focuses on domestically-oriented e-commerce and air-related companies.
• The top ten holdings in the fund differ significantly from the broader tech sector.

4. Long-Term Investment and Granular Exposure

• Discussions with investors emphasize a long-term view and granular exposure.
• Investors are seeking targeted exposure in areas where they have high conviction over the next 5-10 years.
• The goal is to be compensated for taking equity risk, which is currently evident in the markets.
• Taking a long-term perspective and focusing on themes like AI is expected to yield rewards over time.
• Opportunity hunting and behavioral coaching are crucial for staying invested during turbulent times.

5. Infrastructure Build-Out and Data Centers

• The infrastructure build-out, particularly in data centers, remains a key focus.
• Tech companies plan for the long term, with data center investments based on 3-5 year projections.
• Tech companies have substantial cash reserves and generate free cash flow, fueling their investments in AI.
• They are eager to invest capital and plan for future growth in the AI space.

6. Technology Stack and Digital Infrastructure

• The entire technology stack is being evaluated for investment opportunities.
• The focus starts with the real estate hosting the digital infrastructure required for AI.
• Semiconductor companies, including those producing memory drivers, are also of interest.
• Digital infrastructure is considered a key area for revenue generation in AI over the next few years due to the ongoing build-out.

7. Synthesis/Conclusion

The current market environment presents both challenges and opportunities. While geopolitical risks and short-term volatility persist, long-term investors are focusing on targeted opportunities in sectors like AI and digital infrastructure. A granular approach, combined with a long-term perspective and behavioral coaching, is essential for navigating market turbulence and capitalizing on the growth potential of these areas. The ongoing infrastructure build-out, particularly in data centers, is expected to drive revenue and create investment opportunities across the technology stack.