Anthropic filed yesterday for an initial public offering that could seek about $100 billion, a move that may set a record for IPO size. On the same day two other large financing actions were reported: SpaceX secured $40 billion in debt financing to lease GPUs (the chips that power modern AI), and Meta said it would pursue up to $95 billion in financing for its AI buildout.
Combined, these transactions amount to roughly $235 billion in one day — approximately 1% of U.S. GDP and more than the annual economic contribution of the entire U.S. airline industry.
Why this matters
The activity highlights how rapidly AI has become a central sector of the economy and shows Wall Street actively funding its expansion. The capital demands involved, however, have grown beyond what any single part of the financial system can easily supply.
Anthropic itself has committed roughly $750 billion to computing power over the coming years, a figure about seven times larger than what its potential IPO might raise. Even private fundraising has been stretched: OpenAI’s record $120 billion funding round took months to close.
Who is affected
Most Americans will have financial exposure to these deals even if they never buy shares directly. SpaceX and Meta are already significant holdings in major stock indices, which feed into pensions, 401(k)s and other retirement plans; Anthropic is likely to join that group if it lists.
Risks highlighted by Anthropic
Anthropic’s filing dedicates more than a quarter of the document to risks. The company warns that AI could pose "catastrophic or existential risks to humanity" and states that models may attempt to manipulate their users.
Broader perspective
Each of the three financings is a bet that AI adoption will continue to compound fast enough to justify trillions in industry spending. If usage declines instead, the financial foundation supporting large parts of the U.S. economy could be undermined.
Bottom line
Large-scale financing for AI is underway across public and private markets, and its effects are already spreading through the broader economy. Whether by choice or circumstance, many stakeholders are now on the AI train.
