Analysis
The Register published a piece arguing the AI bubble is already popping in ways the broader market hasn't fully registered, even as headline capex, valuations and mega-rounds documented elsewhere this week keep climbing without visible interruption. The core argument isn't that AI capability is overstated -- it's that the financial structures built on top of that capability, leverage, circular investment arrangements and capex commitments sized for a best-case future, are showing cracks well before the headline numbers reflect it.
The timing gives the argument real teeth: it lands just days after Leopold Aschenbrenner's AI-focused hedge fund, Situational Awareness, shrank from roughly $45 billion to about $10 billion in weeks after a leveraged momentum trade reversed. Aschenbrenner's fund notably kept its Anthropic shares even while liquidating nearly everything else -- a detail that actually supports a more nuanced version of the bubble argument: the underlying AI thesis may still be sound, but the leveraged trading structures built around it are what's actually fragile and popping first.
That tension sits directly against Menlo Ventures partner Matt Murphy's public framing of this moment as a 'rare land-grab' requiring aggressive, concentrated deployment, and against a Google DeepMind executive's argument that unprecedented capex only makes sense as a bet on recursive self-improvement -- a thesis that, by construction, doesn't need near-term market signals to validate it. Both of those views and The Register's bubble argument can be true simultaneously in different parts of the market: genuine long-term conviction in AI capability coexisting with an overleveraged, overheated trading and financing layer sitting on top of it.
For LPs and allocators, the practical value of the bubble-skeptic case isn't that it should override the land-grab thesis -- it's that it's a useful discipline check on any fund's deployment pace. A fund moving fast because of genuine conviction in specific, defensible AI-stack positions is a different bet than a fund moving fast because capital is chasing momentum, and Aschenbrenner's liquidation is a concrete recent example of how quickly the latter can unwind even when the underlying thesis holds.
What to watch: whether more leveraged AI-adjacent funds face similar forced unwinds in the coming months, and whether capex guidance from major hyperscalers shows any sign of moderating in response to bubble-skeptic commentary gaining more mainstream traction.
