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Vitalik compared the mining costs of BTC and the inference costs of AI: the former has electricity costs accounting for nearly half, while the latter relies more on capital expenditures for computing power

Ethereum co-founder Vitalik Buterin shared that the cost of Bitcoin mining is roughly half derived from capital expenditures on computing power equipment and the other half from electricity consumption; in contrast, the cost of AI inference is almost entirely dominated by capital expenditures on computing power. This difference reflects the distinct cost structures of the two computing businesses. Bitcoin miners need to continuously pay for electricity and determine their profit margins based on mining machine efficiency, coin prices, and network difficulty changes; AI inference, on the other hand, relies more on investments in expensive hardware like GPUs, as well as equipment utilization and computing efficiency.The industrial boundaries of both are also changing. As the demand for AI computing power grows, some Bitcoin mining companies are beginning to shift their existing electricity resources and data center facilities towards AI and high-performance computing businesses, hoping to transition from pure mining to computing infrastructure services. Some mining companies are leveraging previously allocated electricity capacity for mining to enter the AI data center market. However, transformation does not mean that cost pressures disappear: mining operations are more directly exposed to fluctuations in electricity prices and Bitcoin prices, while AI computing businesses must bear risks related to GPU procurement, depreciation, and underutilization. Both types of businesses compete for electricity and computing resources, but ultimately, profitability depends on how these resources are converted into revenue.

Circle: Revenue in the first half of the year was 1.4 billion USD, with nearly 60% used for partner and transaction costs

On October 16, Circle announced that in the first half of 2026, the on-chain settlement amount of USDC exceeded $36 trillion, and Circle minted and redeemed over $315 billion of USDC during the same period, averaging about $1.7 billion per day. The company stated that as of June, USDC accounted for approximately 77% of the global stablecoin trading volume, an increase from 60% a year ago.More attention from the market is focused on the income distribution of USDC. Circle disclosed that the company generated approximately $1.4 billion in revenue in the first half of the year, of which about $819 million was allocated to USDC distribution partners and transaction costs, accounting for about 59% of the revenue; another approximately $473 million was invested in licensing, banking partnerships, settlement liquidity, compliance systems, product development, and multi-chain deployment, accounting for about 34%. According to the announcement, for every $1 of revenue Circle earns, it ultimately retains only about 7 cents in net profit.This announcement may be in response to market concerns regarding "the monopolization of reserve income by stablecoin issuers." Circle stated that partners can share corresponding reserve income by holding and expanding their USDC balances on their platforms; currently, more than 150 trading platforms, wallets, banks, fintech companies, payment platforms, and enterprises have formed economic interests tied to the growth of USDC. Circle also mentioned that Binance signed a five-year commercial agreement with it in September and invested $100 million in Circle.On the product side, Circle announced the expansion of its free redemption mechanism: all Circle customers can still redeem USDC for free through traditional banking channels, with the funds typically arriving within two business days; customers who make payments through the Circle Payments Network or use eligible products such as Arc, Circle Mint, and Circle Wallets will be able to enjoy free, near-real-time redemption capabilities.

first_img The funding gap for Bitcoin mining companies is about 50 billion USD, and the borrowing costs for IREN and others are diverging

According to the Miner Weekly briefing published by BlocksBridge Consulting, Bitcoin mining companies expanding into the fields of artificial intelligence and high-performance computing are facing significantly different borrowing costs, with lenders increasingly scrutinizing large data center projects. The briefing points out that securing large AI clients is only part of the challenge; mining companies also need to raise billions of dollars to purchase computing power equipment, build data centers, and ensure the power infrastructure required for contract fulfillment. BlocksBridge indicates that large lending institutions have become more selective about data center loans, with decisions increasingly depending on client qualifications, contract terms, and project completion paths.The transition from Bitcoin mining to AI infrastructure by IREN reflects the differences in financing costs: the company secured $3.65 billion in GPU financing in June at a blended interest rate of 6%; in August, it completed another $2.4 billion financing with a fixed interest rate of 9%. The two agreements correspond to different projects and are not directly comparable, but they show that even within the same company, borrowing costs can vary significantly. Financing arrangements may also incur costs beyond interest; in another transaction involving Cipher Digital, Google guaranteed a $1.4 billion lease obligation in exchange for warrants representing a 5.4% equity stake in Cipher, with exercising the warrants potentially diluting existing shareholder equity.The rise in financing demand highlights the overall challenges mining companies face in entering the AI market. Data from VanEck shows that during the peak of the Bitcoin bull market in October last year, mining company debt surged by approximately 500% compared to the second quarter of 2024.

first_img Castle Labs: Variational Swaps have execution costs 8 to 12 times lower than mainstream on-chain venues

Castle Labs released a research report on September 10, comparing the execution costs of the swaps products launched by Variational with traditional perpetual contracts. The report shows that for most trading volumes, Variational is currently the lowest-cost venue among listed assets, with the cost of a $1 million trade in the US100 market being only $47.The report points out that the trading volume of RWA perpetual contracts has grown from less than $1 billion in October 2025 to over $12 billion in August 2026, currently accounting for about 12% to 13% of on-chain perpetual contract trading volume, with a peak in July reaching 20%. As of the report's release, the total open interest of RWA perpetual contracts was $4.9 billion, with TradeXYZ and Variational accounting for nearly 90%.Variational's swaps utilize RFQ execution and the proprietary liquidity provider Omni, with liquidity coming directly from traditional financial partners, and the fees being a holding cost charged once at the daily close, rather than relying on market supply and demand funding rates. Since the launch of the US100, US500, XAU, XAG, and USOIL markets at the beginning of the month, a total trading volume of $3.8 billion has been accumulated, with a peak open interest of $245 million. Currently, swaps have contributed over 50% of Variational's daily trading volume and more than $220 million in open interest.

RootData: Apple, QQQ, and over ten popular assets have the most optimal trading costs on Bitget, with a weighted price difference of 0.0144%

According to the report "Explosive Growth of Stock Derivatives in 2026: The Landscape of Cryptocurrency Exchanges and Key Trends" released by RootData, the stock derivatives sector has transitioned from "marginal experimentation" to the "explosive growth" phase, with a cumulative trading volume of approximately $17.5 trillion from January to August.In terms of cumulative transaction volume, the concentration effect among the top exchanges remains significant. Among the four exchanges, Binance ranks first with $853.58 billion and a 61.3% market share; Bitget follows in second place with $270.85 billion and a 19.5% market share; OKX comes in third with $234.39 billion and a 16.8% market share; Bybit ranks fourth with $33.41 billion and a 2.4% market share.Regarding liquidity, in the ±2% weighted order book depth indicator, Binance and Bitget together account for over 70% of the stock derivatives order book liquidity. Among them, Binance has an average daily order book depth of approximately $10.1 million, followed closely by Bitget at $4.82 million, with OKX and Bybit at $3.87 million and $1.16 million, respectively.In terms of trading costs, in the recent comparison of weighted spreads for more than a dozen representative popular assets, Bitget ranks first with 0.0144%, followed closely by Binance at 0.0145%, with both essentially at the same level; OKX is at 0.0154%, and Bybit is at 0.0237%.
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