
In the perception of many people, the core goal of Mining has always been to obtain Bitcoin block rewards. However, as the industry matures, this logic is changing. Computing Power is no longer just serving the blockchain network, but is regarded as a general infrastructure that can be used simultaneously for AI training, cloud computing, and high-performance computing tasks.
For mining companies, mining is no longer the only option, but rather one of the ways to utilize Computing Power. This shift in perception is the starting point of changes in the entire industry ecosystem.
Bitcoin hash rate has been in a long-term upward trend, indicating an enhancement in network security and also implying that mining competition is intensifying. The higher the computing power, the lower the probability of individual miners obtaining block rewards, which leads to a continuous decline in the marginal returns of unit computing power.
Under the premise of fixed block rewards, the growth of hash rate is more reflected as cost competition rather than revenue growth. This is also why the expansion of computing power itself cannot guarantee miner profitability, and may instead exacerbate industry reshuffling.
The demand for computing power, electricity, and heat dissipation in AI model training and inference aligns closely with large mining farms. Compared to the cyclical fluctuations in Bitcoin mining profits, AI computing power leasing is usually based on long-term contracts, resulting in a more stable income structure.
Many mining companies are beginning to reposition themselves as “Computing Power operators,” providing infrastructure services for AI companies through GPU clusters, data centers, and energy management capabilities. This transformation not only diversifies business risks but also changes the valuation logic of mining companies.
Whether it is Bitcoin mining or AI computing power, energy is always the most critical cost factor. Electricity prices, power supply stability, and energy structure directly determine the sustainability of computing power businesses.
Therefore, mining farms located near hydroelectric, wind, geothermal, or low-cost energy areas have a natural advantage. Energy is no longer just a factor of production, but has become a strategic resource that determines the layout of computing power.
Some countries have begun to participate directly or indirectly in Bitcoin mining, not for speculative reasons, but for the realization of energy value and asset diversification. By converting excess energy into Computing Power and Bitcoin, these countries are building new ways of value storage without relying on traditional financial systems.
The intervention of sovereign power has elevated mining from a “market activity” to a “national-level computing power layout,” making the participation structure of the Bitcoin network more diverse.
The dual effects of increasing Computing Power and rising costs have made the trend of industry centralization明显. Large mining companies占据 an increasingly larger share of Computing Power due to their scale, electricity price negotiation capabilities, and financing channels.
In contrast, small and medium miners lack advantages in terms of electricity, equipment upgrades, and compliance costs, and their survival space is constantly being compressed. This structural change has led mining to gradually evolve into a highly capital-intensive industry.
In the long term, the mining industry is evolving towards a composite model of “Computing Power + Energy + Financial Assets.” Bitcoin mining will become part of the Computing Power business rather than the entirety; AI and high-performance computing will provide stable cash flow; Bitcoin itself will exist as a long-term asset allocation.
In this model, the core competitiveness of mining enterprises is no longer just the scale of Computing Power, but rather the ability to acquire energy, the efficiency of Computing Power scheduling, and the level of risk management.
Bitcoin mining is at a critical juncture of industrial upgrade. From a single mining logic to a diversified computing power ecosystem, the boundaries of the industry are continuously expanding. For participants, understanding the relationship between computing power, energy, and capital will be more important than simply focusing on coin prices.











