Meta Platforms Turns AI Power Scarcity Into a $10 Billion Cloud Bet

Meta Platforms is negotiating to lease up to $10 billion in data center computing capacity to Anthropic over two years, positioning itself as a cloud infrastructure provider. Meta's Meta Compute initiative aims to build roughly 14 gigawatts of AI capacity by 2027, capitalizing on a projected 100-gigawatt U.S. power supply gap by 2030. Meta maintains strong fundamentals, including a 32.84% net margin and 36.93% return on equity, while planning $125 billion to $145 billion in 2026 capital spending. MarketBeat previews the top five stocks to own by August 1st . A severe macroeconomic grid power shortage has quietly transformed physical artificial intelligence (AI) compute capacity into the technology sector's most valuable commodity. By leveraging its vast infrastructure to lease processing power to Anthropic, Meta Platforms NASDAQ: META is aggressively pivoting from a hardware consumer to a commercial cloud landlord, challenging established hyperscalers directly at the compute bottleneck. Get Meta Platforms alerts: Sign Up Shorting the Plug: The 100-Gigawatt Grid Shock Meta Platforms Today META Meta Platforms $647.21 +1.20 (+0.19%) As of 11:10 AM Eastern This is a fair market value price provided by Massive. Learn more. 52-Week Range $520.26 ▼ $796.25 Dividend Yield 0.32% P/E Ratio 23.49 Price Target $830.45 Add to Watchlist The conversation around artificial intelligence has historically centered on silicon. Investors constantly ask how many chips a business can buy and how fast it can deploy them. That narrative is rapidly evolving. Banking analysts project a U.S. electricity supply gap exceeding 100 gigawatts by 2030. Upgrading the domestic power grid requires high-voltage transformers and transmission lines that are currently experiencing multi-year manufacturing backlogs. The primary bottleneck is no longer just securing graphics processing units, but finding an energized facility to plug them in. Companies with existing physical footprints, secured data centers, and locked-in power purchase agreements hold a structural advantage that competitors cannot replicate by raising capital. Building Business: The 14-Gigawatt Infrastructure Meta Platforms is navigating an immense capital expenditure cycle. Management projects spending between $125 billion and $145 billion in 2026 alone, predominantly directed toward AI hardware and data center expansion. To the untrained eye, that level of cash burn looks like an operational liability. When a technology enterprise spends that aggressively, market participants typically worry about margin compression, fearing that the upfront costs will erode bottom-line profitability before the investments generate a measurable return. Viewing this purely as an expense misses the strategic land grab taking place. Meta Platforms is essentially acquiring highly sought-after real estate in a supply-shocked compute market. The internal initiative, Meta Compute, aims to build approximately 14 gigawatts of AI compute capacity by 2027. Meta Platforms is bypassing the utility grid bottlenecks that currently paralyze smaller developers. The underlying enterprise value is shifting from purely digital advertising yields to the direct ownership of secured, energized infrastructure. Signing the Lease: Anthropic Rents Meta's Power The clearest validation of this infrastructure thesis surfaced with preliminary negotiations to lease data center computing capacity to AI developer Anthropic. The proposed transaction is valued at up to $10 billion over 2 years and structured as monthly installments. The deal reportedly includes mutual early-termination clauses, acting as a pragmatic safety valve should Meta Platforms require the physical capacity for its own internal development. Why would a tier-one AI developer bypass traditional hype...