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1 Vanguard Index Fund to Buy Before It Surges 152%, According to a Certain Wall Street Analyst

The S&P500 (SNPINDEX: ^GSPC) is up 35% year to date, hitting more than four dozen record highs in the process. Factors contributing to this positive effect include enthusiasm about artificial intelligence (AI), strong corporate earnings, and the Federal Reserve’s stance on interest rate cuts.

More recently, stocks have surged on expectations that President-elect Donald Trump will improve the environment for businesses by lowering corporate tax rates and reducing regulations. Tom Lee, head of research at Fundstrat Global Advisors, expects stock market momentum to continue through the end of the decade.

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Specifically, Lee believes the S&P 500 will reach 15,000 by 2030. That would be a 152% increase from the current level of 5,950, requiring an annualized growth rate of 16.7% over the next six years. His prediction is based on the premise that tech stocks will shine as companies rely on AI to offset the impact of a global labor shortage estimated to reach 80 million workers by 2030.

Investors can gain exposure to that potential upside by simply purchasing a low-fee S&P 500 index fund like the Vanguard S&P 500 ETF (NYSEMKT:VOO).

The Vanguard S&P 500 ETF tracks the performance of the index, which includes 500 of the largest publicly traded U.S. companies, including growth and value stocks from every market sector. Like the benchmark index, the exchange-traded fund is now heavily weighted towards the technology sector, which includes a range of companies well-positioned to benefit from artificial intelligence.

The 10 largest holdings in the Vanguard S&P 500 ETF by weight are:

  1. Apple: 7.3%

  2. Microsoft: 6.6%

  3. Nvidia: 6.1%

  4. Alphabet: 3.6%

  5. Amazon: 3.6%

  6. Metaplatforms: 2.6%

  7. Berkshire Hathaway: 1.7%

  8. Broadcom: 1.6%

  9. Tesla: 1.5%

  10. Eli Lilly: 1.4%

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Several of these are already major players in the AI ​​economy. For example, Amazon, Microsoft and Alphabet’s Google are the three largest providers of public cloud infrastructure in the world, collectively responsible for more than 60% of cloud infrastructure spending. This leaves them well-positioned to benefit as companies look for processing power to support their AI systems.

Similarly, Nvidia is the market leader in data center accelerators and AI networking equipment, and has a sustainable competitive advantage thanks to its CUDA software platform. Broadcom is a leader in networking chips and application-specific integrated circuits (ASICs), two markets expected to grow rapidly due to rising demand for AI infrastructure.

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