AI Is the New Crypto, and the Comparison Cuts Both Ways

A fresh market conversation between Josh and Brian is making a pointed claim: AI is the new crypto. The pitch is simple. The energy, capital and speculation that once defined digital assets has found a new home, and the people who lived through the last crypto cycle are watching a familiar movie with different actors.

The source material is a short discussion rather than a data-heavy report, so there are no new figures to cite here. But the framing is worth unpacking, because it speaks to something many market participants have noticed over the past couple of years.

Start with the similarities. Both crypto and AI arrived with a big technological promise, a fast-growing cast of startups and a flood of venture money. Both produced a gold-rush mentality, where being attached to the right theme mattered almost as much as having a working product. Both also generated their own jargon, influencers and fear of missing out. Anyone who remembers token launches, rebrands to chase the trend and loud predictions about disruption will recognize the pattern.

There is also a shift in where attention goes. Crypto once dominated the conversation about speculative growth and new financial infrastructure. Today, headlines, funding rounds and investor curiosity often lean toward AI. For crypto-native traders and builders, that can feel like a loss of the spotlight, or a sign that the cycle has moved on.

But the comparison is not purely a warning, and it is not purely a compliment either. Crypto's boom and bust cycles left behind real infrastructure, from exchanges to stablecoins to settlement networks, even after prices collapsed. If AI follows a similar arc, the useful tools may outlast the inflated valuations. At the same time, the crypto experience is a reminder that strong narratives can run far ahead of fundamentals, and that late buyers tend to pay for it.

The two worlds are also not separate. Plenty of projects now sit at the intersection, using blockchains for payments between software agents, decentralized computing or data ownership. Whether those ideas prove durable or simply ride the hype is the same open question the market asked about crypto itself.

For readers, the takeaway is less about declaring a winner and more about pattern recognition. When a theme dominates conversation, attracts easy money and is described as inevitable, it deserves scrutiny. Crypto taught that lesson the hard way. Whether the AI market has learned from it, or is about to repeat it, is exactly what Josh and Brian's discussion invites listeners to weigh.