JPMorgan Reports Increased Sensitivity of Bitcoin Mining Network to Price Fluctuations

Bitcoin miners are becoming more reactive to price fluctuations, with many operating near breakeven, as reported by JPMorgan.

JPMorgan has observed a significant rise in the sensitivity of bitcoin mining difficulty to price changes this year. This trend stems from an increasing number of miners working close to their breakeven points, as the price of bitcoin remains below production costs.

Data shows that the beta for mining difficulty relative to bitcoin price fluctuations has climbed to 0.62, suggesting that the network's computational power is adjusting more rapidly to market conditions. Analysts, including Nikolaos Panigirtzoglou, noted, "Mining economics have worsened this year with the bitcoin price staying well below its production cost for five months in a row." Currently, the estimated production cost for bitcoin stands at approximately $78,000, while bitcoin is trading around $64,700.

The financial pressure on miners is evident, with about 20% reportedly operating at a loss, according to CoinShares' first-quarter mining report. This situation has led to increased liquidation of bitcoin holdings, with publicly traded mining companies selling over 32,000 BTC in the first quarter, exceeding their total sales for all of 2025.

The impact of minor price changes is now more pronounced, as higher-cost miners tend to halt operations when prices dip below production costs, leading to a decrease in hashrate and subsequent adjustments in mining difficulty. For instance, a recent decline in mining difficulty of 10% occurred in the second week of June, marking the second such drop this year.

In light of these challenges, miners are exploring alternative revenue avenues such as artificial intelligence (AI) and high-performance computing (HPC). These sectors may provide more stable and higher-margin income compared to the volatile bitcoin mining landscape. Analysts report that miners have already initiated deals worth billions related to AI and HPC, though significant investment and execution risks remain as hurdles to development.