Tools are supposed to make life easier. Instead, people start lining up for them, watching tasks, and chasing rewards. This kind of role reversal is amusing—but when it comes to AI computing networks, it raises a serious question: once machines are connected, who is willing to pay for the results they produce?
Binance spot, rolling 24-hour figures: $TAO -5.06% (rolling 24 hours); $RENDER -2.95% (rolling 24 hours); $FET -6.87% (rolling 24 hours). These are price changes for the respective assets. They do not show how many tasks the networks received, nor do they prove anything about demand or the reasons for the declines.
According to a report by BlockBeats on October 22 (Beijing time), citing monitoring by Lookonchain, a whale bought several tokens worth about $7.22 million over the past 24 hours, including 1,387 TAO (about $368,000). This purchase reflects on-chain fund movements; it does not amount to customer payments, much less prove that demand for AI computing has been validated. Nor is it news specific to RENDER or FET.
I would look at three things separately: whether the network has computing supply, whether customers keep paying for the product, and whether fees can translate into token value. Incentives can attract resources, but they cannot replace repeat purchases. The AI industry needs computing power, but that does not automatically mean any particular token will benefit. At present, there is no evidence showing customer numbers, revenue, or repeat-purchase performance across these three areas. If a tool makes people busier, it first needs to prove that the results it delivers are worth paying for.
Binance spot, rolling 24-hour figures: $TAO -5.06% (rolling 24 hours); $RENDER -2.95% (rolling 24 hours); $FET -6.87% (rolling 24 hours). These are price changes for the respective assets. They do not show how many tasks the networks received, nor do they prove anything about demand or the reasons for the declines.
According to a report by BlockBeats on October 22 (Beijing time), citing monitoring by Lookonchain, a whale bought several tokens worth about $7.22 million over the past 24 hours, including 1,387 TAO (about $368,000). This purchase reflects on-chain fund movements; it does not amount to customer payments, much less prove that demand for AI computing has been validated. Nor is it news specific to RENDER or FET.
I would look at three things separately: whether the network has computing supply, whether customers keep paying for the product, and whether fees can translate into token value. Incentives can attract resources, but they cannot replace repeat purchases. The AI industry needs computing power, but that does not automatically mean any particular token will benefit. At present, there is no evidence showing customer numbers, revenue, or repeat-purchase performance across these three areas. If a tool makes people busier, it first needs to prove that the results it delivers are worth paying for.