> The massive AI build-out comes with a transparency problem.
> Tech companies often provide the cost of AI data centers and chips associated with a long-term construction project. The catch: They generally don’t break out the costs for each, nor are they required to do so, despite the vastly different time periods in which facilities and chips depreciate.
> That means the cost of chips that may have to be replaced in a few years or less can be lumped together with buildings that can stand for decades. This has some investors seeking more details about tech giants’ surging capital spending on AI infrastructure.
> “The construction-in-progress account is this big hole where hyperscalers can bury a lot of their costs,” said Gaurav Kumar, an accounting professor at the University of Arkansas at Little Rock.
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GPU lifespan: 3 years
Building lifespan: 30 years
Balance sheet: They’re the same picture
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> The massive AI build-out comes with a transparency problem.
> Tech companies often provide the cost of AI data centers and chips associated with a long-term construction project. The catch: They generally don’t break out the costs for each, nor are they required to do so, despite the vastly different time periods in which facilities and chips depreciate.
> That means the cost of chips that may have to be replaced in a few years or less can be lumped together with buildings that can stand for decades. This has some investors seeking more details about tech giants’ surging capital spending on AI infrastructure.
> “The construction-in-progress account is this big hole where hyperscalers can bury a lot of their costs,” said Gaurav Kumar, an accounting professor at the University of Arkansas at Little Rock.
GPU lifespan: 3 years
Building lifespan: 30 years
Balance sheet: They’re the same picture