Meta’s Deal for Nuclear Power Is Likely Cheaper Than Microsoft’s, Jefferies Says

Jefferies estimates Meta's new 20-year power purchase agreement with the largest US nuclear operator, for energy from the Clinton plant in Illinois, will likely cost around $80 per megawatt hour. This is projected to be cheaper than a similar agreement Microsoft entered last year, reflecting the increasing demand for power to support AI operations.

Analysis

Meta Platforms Inc. has secured a 20-year power purchase agreement with the largest US nuclear operator to supply energy from the Clinton plant in Illinois, a strategic move driven by the surging electricity demand required for its artificial intelligence initiatives. According to Jefferies LLC analyst Paul Zimbardo, Meta is projected to pay approximately $80 per megawatt-hour under this deal. This rate is notably forecast to be cheaper than a similar agreement Microsoft Corp. entered into last year, highlighting Meta's proactive approach to managing a critical operational cost for its platforms, including Facebook, Instagram, and WhatsApp. The ability to secure long-term, potentially cost-advantaged power is increasingly significant as AI development escalates, and this agreement could offer Meta a competitive advantage in terms of operational expenditure and energy price stability. The moderately positive sentiment (0.6 for META) associated with this news suggests market recognition of this potential cost benefit.

Key Decisions for Investors

• Investors should consider this agreement a positive development for Meta, potentially mitigating long-term energy cost volatility and supporting margin stability as AI-related power consumption grows.
• It is advisable to monitor similar energy procurement strategies across other major technology firms, as favorable power agreements are becoming a key differentiator in managing the operational costs of AI infrastructure.
• Evaluate the potential for this deal to provide Meta with a competitive cost advantage over rivals like Microsoft, particularly if energy prices continue to be a significant factor in AI operational expenses.