Executive Summary
Paul Kedrosky identifies AI as the first 'meta-bubble' combining every historical bubble ingredient: real estate speculation (data centers), technology hype, loose credit (private credit explosion), and government backstops. Market Consensus believes massive AI CapEx spending justifies valuations through AGI optionality. Variant Perception: This is a financing structure bubble, not a technology bubble. The critical flaw is a 30-year debt financing 2-year depreciating GPU assets, creating unprecedented temporal mismatch. China's distillation approach proves efficiency gains exist, invalidating US projections of compute demand. The refinancing wave hitting 2028 will expose stranded assets as natural gas plants outlive their AI data center purpose by decades. Unity Software represents the contrarian play - 3D spatial intelligence infrastructure benefits from efficiency trends while trading at distressed valuations despite recent earnings beat.
Key Insights
what Paul Kedrosky said“for the first time, we combine all the major ingredients of every historical bubbles in a single bubble. We have a meta-bubble, no pun intended for meta. We have real estate... We have a great technology story... We have loose credit... some kind of notional government backstop”
what Paul Kedrosky said“we've got this probably unprecedented temporal mismatch with 30-year loans and two-year depreciation on the underlying collateral which is essentially the GPUs”
what Paul Kedrosky said“rather than looking at it as an example of why China is doing something better for worse, another way of looking at it is to say, just refuted the approach that we're taking to training altogether, because it shows how bloated and inefficient the approach we're taking is”
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