Home Financial Assets Alphabet upsizes equity raise to $84.75B to support AI expansion
Financial Assets

Alphabet upsizes equity raise to $84.75B to support AI expansion

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Alphabet Inc (NASDAQ:GOOG) has increased the size of its previously announced equity financing package, lifting the total potential raise to $84.75 billion from an earlier target of $80 billion, as the company moves to accelerate investment in artificial intelligence infrastructure and compute capacity.

In a filing with the Securities and Exchange Commission (SEC), the company said that the updated structure includes a mix of public share sales, preferred depositary offerings, a private investment, and a planned at-the-market (ATM) program. The increase reflects higher participation across components of the deal as Alphabet expands funding for data centers and AI-related capital expenditures.

As part of the transaction, Berkshire Hathaway has agreed to invest $10 billion in a private placement, purchasing $5 billion each of Class A and Class C shares at prices of $351.81 and $348.20, respectively. The investment is positioned as an anchor commitment within the broader capital raise.

In the public offerings, Alphabet is selling approximately $18 billion of Class A and Class C common stock combined, up from $15 billion previously planned. The company also upsized its depositary share offerings to $16.75 billion, compared with an earlier $15 billion target. The depositary shares represent interests in mandatory convertible preferred stock.

Alphabet is additionally maintaining a previously announced $40 billion ATM program, which would allow it to issue shares over time depending on market conditions. The proceeds from that program are expected to be used primarily for administrative and tax-related purposes tied to employee equity compensation.

The company said the combined financing activity is intended to support general corporate needs, with a focus on expanding global AI infrastructure and compute resources amid rising demand for large-scale model training and deployment.



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