Top AI Infrastructure Stocks for 2025

Screening Filters & Rationale

1. Market Cap >= $10B:

   • Purpose: Focus on large-cap companies with established market presence in AI infrastructure.
   • Rationale: Large-cap stocks tend to have more stability and resources to invest in cutting-edge AI technologies.

2. Beta (Low to Moderate Risk):

   • Purpose: Select stocks with manageable volatility for risk-conscious investors.
   • Rationale: Low to moderate beta ensures reduced exposure to market fluctuations while maintaining growth potential.

3. Revenue 5-Year CAGR >= 10%:

   • Purpose: Identify companies with consistent and strong revenue growth over the past five years.
   • Rationale: Sustained revenue growth indicates a company’s ability to capitalize on AI infrastructure demand.

4. EPS 5-Year CAGR >= 10%:

   • Purpose: Focus on companies with robust earnings growth over the last five years.
   • Rationale: Strong EPS growth reflects profitability and operational efficiency, critical for long-term investment.

5. Weekly Average Turnover >= $1M:

   • Purpose: Ensure liquidity by selecting stocks with high trading volumes.
   • Rationale: High turnover reduces the risk of illiquidity, allowing for easier entry and exit.

6. Ticker Selection:

   • Purpose: Narrow down to companies directly involved in AI infrastructure.
   • Rationale: The selected tickers represent businesses with significant contributions to AI hardware, software, or cloud infrastructure.