Vitalik compares BTC mining and AI inference costs: the former's electricity accounts for nearly half, while the latter relies more on computing power capital expenditure.

BlockBeats news, October 17 - Ethereum co-founder Vitalik Buterin shared in a post that the cost of Bitcoin mining roughly splits evenly between capital expenditure on mining hardware and electricity consumption; in contrast, AI inference costs are almost entirely dominated by capital expenditure on computing power.

This difference reflects the distinct cost structures of the two computing businesses. Bitcoin miners must continuously pay electricity bills and determine profitability based on mining machine efficiency, coin price, and changes in network difficulty; AI inference relies more on investments in expensive hardware such as GPUs, as well as equipment utilization and computational efficiency.

The industry boundaries between the two are also changing. As demand for AI computing power grows, some Bitcoin mining companies have begun shifting their existing power resources and data center facilities to AI and high-performance computing businesses, hoping to transition from pure mining to computing infrastructure services. Reuters previously reported that some mining companies are leveraging power capacity originally intended for mining to enter the AI data center market.

However, transformation does not mean cost pressures disappear: mining operations are more directly exposed to electricity price and Bitcoin price fluctuations, while AI computing businesses must bear risks such as GPU procurement, depreciation, and underutilization. Both businesses compete for power and computing resources, but ultimate profitability depends on how these resources are converted into revenue.