The easiest thing to misunderstand about AI computing-power networks is to assume that “someone is supplying computing power” means “someone is buying the product.” Machines being able to take on tasks only shows that supply is available. Who places the orders, what they buy, and whether they pay again after delivery are what determine whether demand is real. At present, there is no information confirming the customers, revenue, or utilization rates of any of these three networks, and I’m not going to make up answers for them.
Rolling 24 hours: $TAO , +1.99%. Rolling 24 hours: $RENDER , +2.15%. Rolling 24 hours: $FET , +0.98%. All three prices are up, but prices are not records of orders, computing-power utilization, or customer repeat purchases. Nor can their simultaneous movement alone support the conclusion that demand for the products has strengthened.
Rewards received by suppliers for participating in a network and money customers pay for a service are two separate accounts. Rewards can attract participants to provide resources, but they don’t prove that anyone is willing to keep paying for the results. If tasks are sustained mainly by incentives, it remains to be seen whether real orders will persist when those incentives change. Conversely, the fact that customers pay doesn’t mean the service is necessarily reliable; there must also be evidence that tasks are appropriately matched and delivery meets the required standard.
Even if people are buying the service, token value doesn’t automatically follow. We still need to verify where the fees go, whether the token is actually used for access or settlement, and whether holders have clearly defined rights. Demand for a network doesn’t necessarily mean its token can capture value; growth in a company’s AI business also cannot be directly taken to mean that orders for these networks are increasing.
I’m interested in AI products, but whenever I hear “demand for computing power,” I still ask: Who keeps paying, what are they getting, who funds the rewards, and which part of the process is ultimately linked to the token? Until each of these accounts has its own supporting evidence, this rally only tells us that prices have changed; it cannot serve as proof that the products have passed inspection.
Rolling 24 hours: $TAO , +1.99%. Rolling 24 hours: $RENDER , +2.15%. Rolling 24 hours: $FET , +0.98%. All three prices are up, but prices are not records of orders, computing-power utilization, or customer repeat purchases. Nor can their simultaneous movement alone support the conclusion that demand for the products has strengthened.
Rewards received by suppliers for participating in a network and money customers pay for a service are two separate accounts. Rewards can attract participants to provide resources, but they don’t prove that anyone is willing to keep paying for the results. If tasks are sustained mainly by incentives, it remains to be seen whether real orders will persist when those incentives change. Conversely, the fact that customers pay doesn’t mean the service is necessarily reliable; there must also be evidence that tasks are appropriately matched and delivery meets the required standard.
Even if people are buying the service, token value doesn’t automatically follow. We still need to verify where the fees go, whether the token is actually used for access or settlement, and whether holders have clearly defined rights. Demand for a network doesn’t necessarily mean its token can capture value; growth in a company’s AI business also cannot be directly taken to mean that orders for these networks are increasing.
I’m interested in AI products, but whenever I hear “demand for computing power,” I still ask: Who keeps paying, what are they getting, who funds the rewards, and which part of the process is ultimately linked to the token? Until each of these accounts has its own supporting evidence, this rally only tells us that prices have changed; it cannot serve as proof that the products have passed inspection.
