Just came across an interesting take from a tech investor with some serious credentials - and it actually makes a lot of sense when you think about it. The core argument? Crypto long term investment strategy shouldn't be lumped together with AI portfolio allocations. They're basically playing by different rules.

The reasoning is pretty solid: when you're building an AI investment thesis, you're looking at traditional tech metrics - revenue growth, market adoption, competitive moats. But crypto? That's a completely different animal. You've got blockchain fundamentals, network effects, regulatory landscape, adoption curves that work totally differently from software companies.

What struck me most is how many people still treat them as interchangeable pieces in a portfolio. They're not. A crypto long term investment requires its own framework, its own risk assessment, its own timeline expectations. You can't just apply AI stock analysis to Bitcoin or other major assets and expect it to work.

This is especially relevant right now when everyone's trying to figure out how to position themselves. If you're serious about crypto as a long term investment, you need to understand what you're actually holding - whether it's a store of value, a utility token, or something with actual cash flow characteristics. That's fundamentally different from asking 'will this AI company disrupt its industry?'

Makes you think about how you're actually allocating capital. Are you treating crypto and AI as separate theses, or are you just throwing money at whatever's trending? Because according to this perspective, the first approach is the only one that makes sense.