Big Tech's AI spending commitments are absurd when you see the numbers.
$GOOGL, $META, $MSFT, $AMZN, $ORCL, $NVDA, and Anthropic have $4.49 trillion in off-balance-sheet obligations. Data centers, equipment purchases, lease commitments that haven't even started yet.
Alphabet leads at $1.08 trillion. Anthropic $865 billion. Meta $810 billion.
Their actual on-balance-sheet debt? Only $758 billion combined.
So off-balance-sheet commitments are nearly 6x bigger than what's already on the books. Total obligations across these seven companies: ~$5.25 trillion.
This is the AI infrastructure race in raw financial terms. Massive future commitments, most of which aren't reflected in traditional balance sheets yet. The scale of capital being deployed here is unprecedented.
$GOOGL, $META, $MSFT, $AMZN, $ORCL, $NVDA, and Anthropic have $4.49 trillion in off-balance-sheet obligations. Data centers, equipment purchases, lease commitments that haven't even started yet.
Alphabet leads at $1.08 trillion. Anthropic $865 billion. Meta $810 billion.
Their actual on-balance-sheet debt? Only $758 billion combined.
So off-balance-sheet commitments are nearly 6x bigger than what's already on the books. Total obligations across these seven companies: ~$5.25 trillion.
This is the AI infrastructure race in raw financial terms. Massive future commitments, most of which aren't reflected in traditional balance sheets yet. The scale of capital being deployed here is unprecedented.
