If Web3 still has a shot, it probably isn’t in “building another blockchain,” but at the intersection of AI and Crypto.

$PRL — The AI-native currency narrative
It’s betting on a more radical path: computing power isn’t just a commodity to be rented, but an underlying asset that can be converted into “hard currency.” If this model works, computing power shifts from a cost to a monetary anchor, rewriting the entire valuation logic. The risks are just as clear—the narrative is running ahead of implementation, and the pace of delivery will determine whether it becomes a real asset or just another hollow concept.

$TAO — Bittensor’s incentive layer
Bittensor uses token incentives to organize distributed model training and inference into a subnet marketplace, making it one of the few AI Crypto projects with “real output.” The key variable now is subnet repricing: the subnets whose output the market recognizes will gain pricing power over computing resources and capital. Whether it can hold its flagship position depends on whether subnet economic models can continue attracting productive computing power, rather than relying on incentive inflation to keep up appearances.

In a nutshell: this AI × Crypto cycle is a bet on pricing power over “computing power → currency,” not on the narrative itself.

#Web3 #AI #Crypto #Bittensor