The hardest thing to validate for an AI product isn’t whether the model can run, but who is willing to pay for the results and whether they’ll buy again. Completing a task once only shows that the service may be deliverable; the payer, what was delivered, and repeat purchases are the evidence that demand is gradually taking hold. Right now, there’s no project-level information to confirm the customers, revenue, or computing-power utilization of these three networks, and I don’t want to treat the AI industry’s buzz as direct evidence of orders for them.
Over the rolling 24 hours, $TAO -0.28%; over the rolling 24 hours, $RENDER -0.79%; over the rolling 24 hours, $FET -1.89%. These are changes in each network’s spot price, not in customer numbers, task volume, or computing-power utilization. The fact that all three have fallen doesn’t mean business demand has weakened in tandem, much less prove that the price changes were caused by the same thing.
The supply and demand for computing power need to be examined from both sides: what specific services buyers are purchasing and whether they’re willing to buy again; and whether providers can handle the tasks and whether compensation covers resource costs. Network incentives may attract providers, but rewards are not the same as service fees paid by customers. Who funds the rewards, whether the rules are merely proposed or already implemented, and whether providers stay when incentives are reduced all depend on each project’s own mechanisms and data; general possibilities shouldn’t be presented as facts about the current situation.
Even if people pay for a service, that doesn’t mean the token automatically benefits. Whether the service requires the token, where the fees go, and whether increased usage can create sustained demand for the token are separate questions. Product demand, computing-power supply and demand, network incentives, and token value may be related, but you can’t skip the steps in between and equate them directly.
I’m interested in AI products, but rather than hearing that “demand for computing power is huge,” I’d like to see an order go from payment to delivery and then to a repeat purchase—and know where the provider’s compensation comes from. For now, all that can be confirmed is the change in three spot prices; who is paying, whether demand is sustained, and how value flows through to the token all still require project-level evidence.
Over the rolling 24 hours, $TAO -0.28%; over the rolling 24 hours, $RENDER -0.79%; over the rolling 24 hours, $FET -1.89%. These are changes in each network’s spot price, not in customer numbers, task volume, or computing-power utilization. The fact that all three have fallen doesn’t mean business demand has weakened in tandem, much less prove that the price changes were caused by the same thing.
The supply and demand for computing power need to be examined from both sides: what specific services buyers are purchasing and whether they’re willing to buy again; and whether providers can handle the tasks and whether compensation covers resource costs. Network incentives may attract providers, but rewards are not the same as service fees paid by customers. Who funds the rewards, whether the rules are merely proposed or already implemented, and whether providers stay when incentives are reduced all depend on each project’s own mechanisms and data; general possibilities shouldn’t be presented as facts about the current situation.
Even if people pay for a service, that doesn’t mean the token automatically benefits. Whether the service requires the token, where the fees go, and whether increased usage can create sustained demand for the token are separate questions. Product demand, computing-power supply and demand, network incentives, and token value may be related, but you can’t skip the steps in between and equate them directly.
I’m interested in AI products, but rather than hearing that “demand for computing power is huge,” I’d like to see an order go from payment to delivery and then to a repeat purchase—and know where the provider’s compensation comes from. For now, all that can be confirmed is the change in three spot prices; who is paying, whether demand is sustained, and how value flows through to the token all still require project-level evidence.
