What Do The Midterms Mean For Crypto And AI?

The episode centers on how the post-midterms selloff is changing the market’s view of AI, Bitcoin, and crypto equities. Matthew Sigel argues that the sharp drop in semis, neoclouds, and data-center names reflects a repricing of AI capex, financing risk, and the possibility that some projects will need more equity and less debt. He says the market is waking up to the scale of the buildout, especially in Texas, and that the trade is vulnerable if credit tightens and data-center space gets constrained.

The host pushes a more bearish read on the AI stack, arguing that many AI companies still have negative unit economics and that startups are moving toward open-weight models, which could weaken frontier-model moats. Sigel pushes back, saying the long-term demand story remains intact, the strongest balance sheets will win, and the current drawdown looks more like a buying opportunity than the start of a true bear market.

On crypto, Sigel says a more divided government could be bullish if it leads to more spending and less austerity, while the hosts argue that Bitcoin remains highly tied to liquidity and tech risk appetite. The discussion also covers stablecoins, tokenization, and prediction markets, with a shared view that onchain markets are growing but still face major questions about pricing power, regulation, and where value accrues.