U.S. artificial intelligence (AI) “Three Musketeers” such as Alphabet (Google), Amazon, and Meta Pla..

U.S. artificial intelligence (AI) “Three Musketeers” such as Alphabet (Google), Amazon, and Meta Pla..

U.S. artificial intelligence (AI) “Three Musketeers” such as Alphabet (Google), Amazon, and Meta Pla..

https://www.mk.co.kr/en/stock/11957196

Publish Date: 2026-02-08 07:38:00

Source Domain: www.mk.co.kr

Here’s an unordered list summarizing the key points of the article provided:

  • Significant AI Investment: Major tech companies like Google’s Alphabet, Amazon, and Meta are heavily investing in AI, with annual investments projected to reach around $200 trillion won.

  • Volatility in Stocks: Despite these companies’ strong financial performances, their stock prices have plunged due to concerns about the heavy outflow for AI investments reducing profits and shareholder returns.

  • Increased Free Cash Flow (FCF): Despite the heavy AI investments, the FCF for Google, Amazon, and Meta is expected to rise for the next two consecutive years, sustaining dividends or treasury stock issues.

  • Trump’s Influence: The presence of Donald Trump in U.S. politics is expected to protect these companies as they continue to deliver strong performance despite substantial AI expenditures.

  • ETFs as an Investment Option: For diversified investment, there are AI-related ETFs like the First Trust Dow Jones Internet (FDN) and TIGER U.S. Tech TOP10 that offer investment in these companies.

  • Google’s Efficiency Improvement: The use of Tensor Processing Units (TPUs) has greatly increased Google’s efficiency, reducing costs by 78% for its AI model, helping it manage higher CAPEX with rising FCF.

  • Amazon’s Large-scale Investments: Amazon plans the largest capital expenditure (CAESP) but still maintains rising FCF, showcasing its robust financial position.

  • Meta’s Undervaluation: Meta’s current market valuation remains lower compared to Google and Amazon, and it stands out as an attractive investment despite its large AI investment costs.