On January 12, Meta CEO Mark Zuckerberg announced the Meta Compute Initiative, committing the company to build tens of gigawatts of new data-centre capacity this decade and potentially hundreds of gigawatts over time. One gigawatt of power capacity typically serves around 750,000 homes, underscoring the massive scale of Meta’s plan. The initiative is designed to secure the company’s AI independence by giving Meta full control over infrastructure costs, performance and data sovereignty. Zuckerberg highlighted that this infrastructure build-out would not only support current AI integrations across Facebook, Instagram and WhatsApp but also future projects such as AI-powered smart glasses, which he envisions could become a dominant consumer form factor for artificial intelligence applications.

Meta’s long-term spending commitment has significant near-term implications for profitability and free cash flow. In Q4 2025, the company’s trailing-12-month free cash flow stood at $44.8 billion, down from a peak of $54 billion just one quarter prior. Over the same period, annual capital expenditures rose to $62.7 billion from $37.3 billion a year earlier. Wall Street analysts anticipate further declines in free cash flow through 2026 as Meta’s AI infrastructure outlays accelerate. During its October earnings call, management warned that 2026 capex would exceed 2025 levels, stoking an 11% share-price drop the following day despite record revenues. The growing gap between cash generation and reinvestment has prompted several brokerage firms to lower earnings forecasts and re-examine return-on-investment timelines for Meta’s AI projects.

To support its infrastructure ambitions, Meta has tapped Dina Powell McCormick, its newly appointed President and Vice Chair, to spearhead government relations and financing efforts. As a former senior advisor in the U.S. administration, Powell McCormick is expected to negotiate public-private partnerships that could yield favorable financing terms, tax incentives or regulatory waivers for data-centre expansions. Meta’s push for AI autonomy also dovetails with national strategic interests in semiconductor supply chains and digital sovereignty. By securing government support, Meta aims to lower its weighted average cost of capital for AI infrastructure and accelerate deployment schedules, potentially shaving months off project timelines and improving long-term returns on its multibillion-dollar investment.