Can the rise and fall of AI project tokens be used as a thermometer for product demand? I think at most they serve as a reminder, not an answer. Rolling 24 hours, $TAO +0.28%. Rolling 24 hours, $RENDER +0.42%. Rolling 24 hours, $FET -0.89%. There’s no clear consensus on direction, but quotes are neither user bills nor computing orders; they also can’t tell us which product is more popular.
To really validate demand, I’d first look for a payment relationship: who pays for which service, what result is delivered, and whether users are willing to buy again. The number of calls or successfully completed tasks can show that resources were used or a delivery was completed, but it doesn’t necessarily mean someone will keep paying. Right now, there’s no verifiable information on these three projects’ customers, revenue, computing utilization, or formal product progress. Where information is missing, we should leave it blank rather than use “AI buzz” to give a project undeserved credit.
Supply and demand for computing power is a separate question: whether resources match the tasks and delivery is reliable. Network incentives may encourage more resources to connect, but we still need to ask who funds the rewards, what participants deliver, and whether supply remains after rewards are reduced. The number of connected resources doesn’t automatically count as customer demand, and subsidies shouldn’t be mistaken for user payments.
Token value also needs to be assessed separately: whether the service requires the token, where fees go, and what explicit rights holders have. Even if people use the product, that doesn’t mean value will flow to the token; growth in a company’s AI business can’t simply be credited to the related token, either. Product demand, computing supply, network incentives, and token value can’t be answered by the same set of price movements.
I’m interested in AI, but rather than guessing which kind of network the market will recognize sooner, I’d rather see a transaction that can be verified: who paid, what they got, and whether they’ll buy again.
To really validate demand, I’d first look for a payment relationship: who pays for which service, what result is delivered, and whether users are willing to buy again. The number of calls or successfully completed tasks can show that resources were used or a delivery was completed, but it doesn’t necessarily mean someone will keep paying. Right now, there’s no verifiable information on these three projects’ customers, revenue, computing utilization, or formal product progress. Where information is missing, we should leave it blank rather than use “AI buzz” to give a project undeserved credit.
Supply and demand for computing power is a separate question: whether resources match the tasks and delivery is reliable. Network incentives may encourage more resources to connect, but we still need to ask who funds the rewards, what participants deliver, and whether supply remains after rewards are reduced. The number of connected resources doesn’t automatically count as customer demand, and subsidies shouldn’t be mistaken for user payments.
Token value also needs to be assessed separately: whether the service requires the token, where fees go, and what explicit rights holders have. Even if people use the product, that doesn’t mean value will flow to the token; growth in a company’s AI business can’t simply be credited to the related token, either. Product demand, computing supply, network incentives, and token value can’t be answered by the same set of price movements.
I’m interested in AI, but rather than guessing which kind of network the market will recognize sooner, I’d rather see a transaction that can be verified: who paid, what they got, and whether they’ll buy again.
