Why does Bitcoin mining hash rate slow?

Author: Vince Quill, Cointelegraph; Compilation: Five Bah, Golden Finance

Due to the decrease in mining difficulty and decreased mining hardware reservation, the BTC mining hash rate (that is, the total computing power in the network) will slow down.

According to Cryptoquant's data, on January 27, the difficulty of mining was reduced to 10.81 trillion, which was the first time in 2025, and the current hash rate is about 832 EH/S per second.

The data prepared by theMinermag also shows that in the past seven days, the difficulty of mining has retracted 2.12%. According to its pre -order data, the demand for special integration circuits (ASICs) and other mining hardware in the United States has declined in the third and fourth quarter of 2024.

The reduction of the difficulty should bring an opportunity for companies in the competitive industry. These companies are facing the highest difficulty rate of history in 2024 and 2025, and at the same time, the subsidies of mining blocks have also decreased.

Current Bitcoin mining difficulty. Source: Cryptoquant

Mining companies have diversified business but are still difficult

In 2024, the mining company diversified business and entered the data center of artificial intelligence and high -performance computing to make up for the gap in mining profits after half.

Bitcoin miners also use the financial strategy of Bitcoin enterprise to distribute more financial reserves to BTC to obtain long -term price appreciation.

Although the price of diversification, hedging strategy and the historic Bitcoin price in November 2024 rebounded, it was still difficult for mining stocks to keep up with the rise of BTC.

Data from Hashrate Index show that 20 of the 25 listed mining companies have fallen from the beginning of 2024 to the present.

After the release of DeepSeek R1, the mining stocks were hit again. Deepseek R1 is a generating artificial intelligence model built in China. Its performance is equivalent to OpenAI products, but the training cost is only a small part.

DeepSeek has subverted the traditional concept of artificial intelligence development, including the cost of training and expanding artificial intelligence. It is said that the DeepSeek team used limited hardware to complete this work.

This training cost of only $ 6 million shocked the US stock market because within a day, the value of AI companies, including NVIDIA, evaporated more than $ 1 trillion.

Investors sell AI stocks and are worried that DeepSeek will affect the income of several dollars of data center business and high -end AI processors worth billions of dollars.