Just came across an interesting take from a former Snap exec who's pretty deep in tech investing. His argument? Crypto and AI are completely different beasts, so mixing them in a portfolio doesn't really make sense.

The thing is, he's got a point. Everyone's been lumping everything tech-adjacent together lately, but crypto operates on totally different mechanics and risk profiles compared to AI infrastructure plays. One's about speculative digital assets and protocol adoption, the other's about computational power and model development.

What caught my attention is how this reflects a broader portfolio strategy question that's probably not getting enough attention. When you're building exposure to emerging tech, the instinct is to throw everything into one bucket. But this investor is saying that's lazy thinking.

Crypto has its own thesis - decentralization, on-chain adoption, regulatory evolution. AI has its own entirely - enterprise adoption, compute requirements, model differentiation. They're not correlated the way people assume.

I think what he's really highlighting is that crypto investors need to stop waiting for AI to validate their thesis and vice versa. Each space needs to develop on its own terms. The sooner people stop treating them as a single trend and start analyzing them separately, the better allocation decisions they'll make.

Worth thinking about if you're building any kind of diversified tech exposure right now.