AI computing power networks face a question often obscured by talk of an “industry-wide shortage of computing power”: who bears the cost when resources sit idle? Over the rolling 24 hours, $TAO -10.89%. Over the rolling 24 hours, $RENDER -7.32%. Over the rolling 24 hours, $FET -11.24%. These three figures are changes in the respective spot prices, not order volumes, customer counts, or computing power utilization rates. Their simultaneous declines do not prove that demand weakened across the board, much less show which business news caused the market movement.
To assess product demand, look at actual payments: what service are customers paying for, does it solve their problem, and will they buy it again? Industry interest in AI cannot automatically be counted as orders for a particular network. There is currently no data on customers, revenue, or utilization for these three projects, so I won't make up a report card for them. Having equipment online and tasks running does not mean anyone is willing to keep paying.
The supply side is not as simple as asking whether the “rewards are generous enough.” Network incentives may attract resource providers, but rewards are not the same as service fees paid by customers. We need to ask who funds the rewards, whether the rules are proposed or already implemented, and whether providers will stay once rewards are reduced. If customer payments do not cover delivery costs, the supply may look lively without being sustainable over the long term.
Token value needs to be assessed separately: Is a token required to use the service? Where do the fees go? Can actual demand translate into sustained demand for the token? Product usage, network delivery, sustainable incentives, and value accruing to the token are distinct links in the chain; you can't skip from one to the next. Growth in a company's AI business also cannot be directly counted as orders for these networks or demand for their tokens.
So what this downturn makes me want to ask is not whose label sounds more like AI, but whether the demand ledger closes the loop: who pays, what do they get, who bears the cost of supply, and does the token actually play a part? What we can confirm right now is the price movement; the available information cannot yet tell us who has sustained paid demand.
To assess product demand, look at actual payments: what service are customers paying for, does it solve their problem, and will they buy it again? Industry interest in AI cannot automatically be counted as orders for a particular network. There is currently no data on customers, revenue, or utilization for these three projects, so I won't make up a report card for them. Having equipment online and tasks running does not mean anyone is willing to keep paying.
The supply side is not as simple as asking whether the “rewards are generous enough.” Network incentives may attract resource providers, but rewards are not the same as service fees paid by customers. We need to ask who funds the rewards, whether the rules are proposed or already implemented, and whether providers will stay once rewards are reduced. If customer payments do not cover delivery costs, the supply may look lively without being sustainable over the long term.
Token value needs to be assessed separately: Is a token required to use the service? Where do the fees go? Can actual demand translate into sustained demand for the token? Product usage, network delivery, sustainable incentives, and value accruing to the token are distinct links in the chain; you can't skip from one to the next. Growth in a company's AI business also cannot be directly counted as orders for these networks or demand for their tokens.
So what this downturn makes me want to ask is not whose label sounds more like AI, but whether the demand ledger closes the loop: who pays, what do they get, who bears the cost of supply, and does the token actually play a part? What we can confirm right now is the price movement; the available information cannot yet tell us who has sustained paid demand.
