Transcript
0:00 We should expect a bubble. Every prior market precedent for a foundational new technology like AI, you've always had a bubble. That bubble funds the buildout of this new technology, but supply gets ahead of demand and you get a crash and it's a particularly severe crash if it's a debtfueled buildout like the year 2000. And one thing really good about the current buildout is it's still overwhelmingly funded out of operating cash flows, which is a a really important fundamental difference versus the year 2000. has is valuation has is the fact that every GPU is running at 100% utilization when 99% of fiber was unutilized. So there's all these fundamental differences and I have been optimistic that this fundamental shortage of wafers which really today is controlled by Taiwan Semi will prevent one. If Taiwan Semi did what Jensen wanted, I think Nvidia could sell $2 trillion of GPUs in 26 or 27, maybe three trillion. But there is a limit where consumers would consume so much you probably would be in an overbuild.
0:59 And so Taiwan Simmyi, if we don't get a bubble, we need to have like a giant party in Taiwan because they will have single-handedly prevented a bubble. Okay.
Summary
- Historical tech bubbles often precede foundational technologies like AI, leading to severe crashes.
- Current AI buildout is primarily funded by operating cash flows, unlike the debt-fueled growth of the year 2000.
- GPUs are operating at 100% utilization, indicating strong demand compared to previous tech cycles where resources were underutilized.
- A shortage of semiconductor wafers, particularly controlled by Taiwan Semiconductor Manufacturing Company (TSMC), may help prevent an impending bubble.
- If TSMC meets demand, Nvidia could potentially sell trillions in GPUs by 2026-2027.
- There is a limit to consumer consumption, suggesting that overbuilding could still occur if demand is exceeded.
- The importance of TSMC's role in the market is highlighted as crucial for stabilizing the AI technology landscape.