Meta Exploring Multi-Billion Dollar Stock Offering to Support AI Growth
Meta is reportedly considering raising tens of billions of dollars through a stock offering as the company looks for additional funding to support its rapidly expanding artificial intelligence ambitions.
According to a report by the Financial Times, Meta executives have been exploring new and “creative” ways to secure capital as the company prepares for a significant increase in AI-related spending. Discussions reportedly gained momentum following Alphabet’s recent $84.75 billion equity fundraising effort, which highlighted how major technology companies are increasingly turning to financial markets to fund large-scale AI infrastructure projects.
The potential fundraising would mark a notable shift for Meta, which has traditionally relied on its strong cash flow to finance growth initiatives. However, the rising cost of building AI data centers, purchasing advanced chips, and expanding computing capacity is pushing even the largest technology firms to seek outside funding.
Meta has already taken several steps to support its AI investments. In October, the company filed for a bond offering worth up to $30 billion and later secured a $27 billion financing agreement with investment firm Blue Owl Capital.
Earlier this year, Meta significantly increased its projected capital expenditures for 2026, raising its forecast to between $125 billion and $145 billion. Much of that spending is expected to be directed toward AI infrastructure, including data centers and computing resources needed to train and deploy advanced AI models.
The Financial Times report noted that Meta has not yet hired banks for a potential stock sale and may ultimately decide against issuing new shares. Sources familiar with the discussions said all financing options remain under consideration.
Investors reacted negatively to the report, with Meta shares falling about 6.6% following the news.
As competition intensifies among major technology companies, access to capital is becoming increasingly important in the race to build the infrastructure needed for the next generation of AI services.