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And I actually think Michael Bur's got this wrong. And so what Michael Bur is saying is that all of these hyperscalers
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have extended their depreciation schedule or the useful life of their data centers by roughly 2x which cuts
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the operating costs in half when they report it in earnings and so it's making their earnings inflate. So he's claiming
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they're cooking the books. Google first made this change in Q1 of 21 where they said the servers are now going from 3 to
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four years. The chart shows the combination of servers and networking equipment separately. In 2021, Google
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took networking equipment from 3 to 5 years and then in 2023 they took it from 5 to six years. And so this is a result
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of this effort where they went in and did an analysis. So what happened? What happened in the data centers is that the
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data centers transitioned from being primarily data storage and data transfer systems where you would use hard drives
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and RAM and memory to store data and then transmit it back out to being data processing centers because of the AI
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boom. So as AI became more important in the data center, more of the dollars that are going into data centers were
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allocated towards chips from data storage which initially was hard drives. And then suddenly when you put these
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processors in to process the data to do AI, that's the majority of the spend and
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the majority of the energy is going towards the processors. I made some calls and I checked around with some
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other friends and everyone says the same thing that these seven and 8year-old TPUs and GPUs that are sitting in the
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data centers are still being used and they're being used at 100% utilization. So that actually justifies and validates
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the depreciation schedule being much longer versus shorter.