Zuckerberg says Meta will build data center the size of Manhattan in latest AI push

Meta Platforms is committing hundreds of billions to AI development, including constructing multi-gigawatt data centers like Prometheus and Hyperion, some comparable in scale to Manhattan, and raising 2025 capital expenditure predictions to $64bn-$72bn. CEO Mark Zuckerberg justifies this massive investment, aimed at achieving "super-intelligence" and generating new revenue streams from products like the Meta AI app, by citing the strength of the company's core advertising business. This aggressive strategic push, which includes a reorganized Superintelligence Labs and significant talent acquisition, positions Meta to compete directly with rivals like OpenAI and Google in the evolving AI landscape.

Analysis

Meta Platforms is undertaking a monumental capital investment, committing hundreds of billions to achieve artificial general intelligence (AGI) and directly challenge rivals like OpenAI and Google. This strategy is quantified by a raised 2025 capital expenditure forecast of $64bn-$72bn, designated for building multi-gigawatt data centers such as 'Prometheus' and 'Hyperion', with a scale compared to the size of Manhattan. CEO Mark Zuckerberg justifies the massive outlay by citing the financial strength of the core advertising business, which generated nearly $165bn in revenue last year, a point supported by analyst commentary that AI is already boosting ad performance. The company has also reorganized its efforts into a new 'Superintelligence Labs' division, attracting top-tier talent and making a $14.3bn investment in Scale AI, signaling a focused attempt to overcome previous setbacks. While the return on this investment is inherently speculative, Meta is strategically positioning to create new revenue streams from AI-native products, representing a significant long-term diversification effort.

Key Decisions for Investors

• Investors should recognize that Meta's investment thesis is now heavily weighted towards its high-risk, high-reward AGI strategy, requiring a re-evaluation of the company's risk profile beyond its stable advertising segment.
• Closely monitor quarterly capital expenditure figures against the new $64bn-$72bn guidance for 2025, as this level of spending will directly impact free cash flow and profitability metrics in the near-to-medium term.
• For long-term investors, the aggressive talent acquisition and robust core business funding the AI push are positive indicators, but a position requires tolerance for significant execution risk and close tracking of competitive milestones from rivals like Google and OpenAI.