🧠 Conviction Isn’t What You Hold—It’s What You’d Hate to Lose
A thought experiment:
You allocate $1,000 across AI altcoins today. Six months pass. The entire bag goes to zero.
Which loss cuts deepest?
Mine:
· $TAO – 40%
Bittensor isn’t just another AI token; it’s an entire subnet economy where machine intelligence is commoditized. Losing this would mean missing out on the most fundamental rearchitecture of AI incentives.
· $FET – 25%
As part of the Artificial Superintelligence Alliance, Fetch.ai’s autonomous agent infrastructure is already being deployed in supply chains and DeFi. Watching that vanish would feel like betting against the agentic future itself.
· $RENDER – 20%
The decentralized GPU network powering AI rendering and 3D workloads. With compute demand exploding, this is the quiet workhorse—its loss would be the sting of ignoring real infrastructure.
· $NEAR – 15%
NEAR isn’t purely an AI play, but its chain abstraction and growing AI tooling (like the NEAR AI assistant) make it a strategic bet on user‑owned AI interfaces. Letting go of that exposure would be admitting I underestimated mass adoption.
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Why this framing matters
If you can’t emotionally stomach the total loss of a position, you’re either over‑sized or genuinely convinced. Use the exercise to pressure‑test your portfolio: the allocation that “hurts most” is often the one where your research and narrative alignment are strongest.
So, what’s your conviction stack? 👇
