AMD and Meta Platforms: Top Stocks for 2025 Amid AI-Driven Revenue Surge

December 23, 2024
AMD and Meta Platforms: Top Stocks for 2025 Amid AI-Driven Revenue Surge
  • The company is also positioned to capture double-digit market share in GPU compute and AI inference, thanks to its integration of Xilinx's technology and innovative chiplet design.

  • Overall, AMD has made significant strides in revenue growth, particularly in the CPU and GPU sectors within server and data center markets.

  • Rosenblatt analysts have identified AMD and Meta Platforms as top stock picks for the first half of 2025, highlighting their growth potential.

  • Meta Platforms has reported a remarkable 22% revenue increase in the first nine months of 2024, driven by AI-enhanced advertising innovations.

  • Rosenblatt forecasts that Meta will continue to experience revenue growth into 2025, supported by strong advertising performance and investments in AI infrastructure.

  • Rosenblatt projects a price target of $250 for AMD, based on a 25x P/E multiple of an estimated $10.00 FY26 EPS, despite the cyclical nature of the semiconductor industry.

  • However, analysts caution that AMD operates in a highly competitive and cyclical semiconductor market, where missteps could adversely affect its performance.

  • Upcoming GPU products, including the MI350 and MI400, are expected to drive revenue growth for AMD as they gain traction in hyperscale environments.

  • Steve Frankel maintains a Buy rating on both AMD and Micron Technology, each with a price target of $250, citing strong momentum in their respective markets.

  • While both companies face risks such as regulatory pressures for Meta and market volatility for AMD, Rosenblatt sees significant upside potential in the growing AI ecosystem.

  • AMD's EPYC processors are set to bolster the company's revenue share in the server and data center CPU markets.

  • Both AMD and Meta are recognized for their robust growth potential and solid financial performance, largely fueled by advancements in artificial intelligence.

Summary based on 3 sources


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