Bitcoin miners are quietly changing their strategies. No longer relying solely on mining profits, an increasing number of mining farms are shifting their idle computing power resources toward AI training. Behind this shift reflects profound changes in the entire crypto and tech industries.

The logic is simple: from mining to "computing power leasing." Bitcoin rewards are highly volatile, and difficulty keeps rising, while the AI training market has a strong demand for GPUs. Mining farm owners are upgrading and transforming their equipment to become AI computing power providers directly. Tech companies lease computing power on demand, and mining farms gain stable income—this calculation is indeed more cost-effective than pure mining.

There are several noteworthy aspects of this phenomenon. First, the computing power market is being redistributed. A large influx of miners into the AI field suggests that the total network computing power of Bitcoin may face readjustment, and difficulty fluctuations could intensify. Second, the survival pressure on small-scale mining farms increases—costs of transformation are high, and the transition period is long; not all miners can withstand this shift. Furthermore, whether the demand for AI computing power can be sustained remains a question—what happens if demand declines and there is excess capacity?

The collective "career change" of miners essentially reflects the natural law of market resources flowing toward higher-yield sectors. Whether in mining or AI computing power, the pursuit is always maximizing returns. In the next phase, how Bitcoin difficulty adjustments will evolve and whether the AI computing power market can remain stable are points worth observing.