# Transition Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Transition", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

A Glimpse into Crypto Miners in Q2: Rushing into AI Data Centers – Are They Profiting?

Mining companies presented mixed Q2 results as they navigate the shift towards AI data centers alongside their core Bitcoin mining operations. While mining output increased for some, declining Bitcoin prices and rising network difficulty pressured revenues. For instance, MARA mined more Bitcoin year-over-year but saw a 27% revenue drop and a significant net loss, partly due to unrealized losses on Bitcoin holdings. The standout trend is the growing contribution of AI/high-performance computing (HPC) hosting revenue. Core Scientific now derives over 80% of its revenue from high-density hosting, while TeraWulf generates about 71% from HPC leasing. However, the transition is at varying stages. Companies like Riot Platforms and Cipher Digital are in earlier phases, with AI-related revenue still a smaller portion of their total income. The article cautions against conflating massive, long-term AI hosting contracts (often valued in billions) with current quarterly revenue, as income recognition depends on capacity delivery and lease commencement. Financially, net losses were common but driven by different factors: some by Bitcoin price revaluations or warrant fair value changes, others by operational costs exceeding revenue. The sector is diverging into three paths: pure-play miners focusing on efficiency, companies successfully transitioning to AI hosting, and those in a challenging transitional phase where legacy mining income is declining before new AI revenue scales up. The key to future performance lies in reliable power access, timely data center delivery, and converting long-term contracts into consistent quarterly income.

marsbit8h ago

A Glimpse into Crypto Miners in Q2: Rushing into AI Data Centers – Are They Profiting?

marsbit8h ago

Goldman Sachs Stakes a Clear Position: This Is the Largest Capital Demand Cycle in Human History, and the Fed Is Just an Observer

Goldman Sachs argues that the world is entering the most capital-intensive investment cycle in history, driven by concurrent massive demands from AI infrastructure, reindustrialization, defense reinvestment, power grid rebuilding, supply chain realignment, and sovereign debt financing. This structural competition for capital is pushing its cost higher, fundamentally altering investment paradigms. Goldman's Mark Wilson states that the Federal Reserve is merely a "passenger, not the driver" in this shift, with rising yields rooted in these real economy demands rather than just monetary policy. While major indices appeared calm in July, underlying market movements were historic, featuring extreme stock dispersion and a severe momentum factor crash, leading to significant de-risking by fund managers. Wilson cautions against expecting a quick reversal in August, citing ongoing digestion of higher rates, disrupted risk models, and typically muted market performance ahead of US midterm elections. Corporate fundamentals remain robust with strong earnings, though growth rates are peaking in the US while accelerating in Europe. Notably, hyperscale cloud companies like Amazon and Microsoft are announcing staggering capital expenditure projections for 2027-2028, justified by explosive AI-related revenue growth and high returns. Amazon revealed its AI revenue run-rate exceeds $25 billion, growing triple-digits annually, and expressed confidence that AWS could become a trillion-dollar revenue business. The report concludes that a transitional period is underway, marked by a growing tension between aggressively investing private tech giants and increasingly capital-constrained sovereign governments. The AI super-cycle continues, with August likely being a consolidation phase.

marsbit08/03 09:46

Goldman Sachs Stakes a Clear Position: This Is the Largest Capital Demand Cycle in Human History, and the Fed Is Just an Observer

marsbit08/03 09:46

Miners Advised Not to Buy GPUs for AI and to Focus on Infrastructure

A founder at an energy investment forum advises bitcoin miners not to purchase GPUs for AI themselves, but to instead focus on infrastructure like power and data center space. Mike Alfred of Alpine Fox stated that while AI infrastructure demand is a long-term, 20-30 year trend, it presents a key choice for miners. The first, riskier model involves owning and operating GPUs, which requires financing expensive hardware that quickly becomes obsolete. The second, more conservative model is akin to real estate: providing colocation services where clients bring their own servers, and the miner sells space, power, cooling, and water. Alfred noted this model is easier to finance. Most existing bitcoin mining sites are difficult and expensive to convert for AI, as AI data centers require far higher construction costs, redundant fiber connections, backup power, complex cooling, and near 100% uptime. A hybrid model, where mining acts as a flexible load to use excess power during AI data center construction or from generation facilities, was discussed. However, participants concluded this is only viable with very cheap power; otherwise, developers are better off focusing solely on AI. Miners are increasingly being evaluated for their available power capacity and project portfolios rather than just bitcoin output. Panelists also warned of risks in the AI sector, predicting at least one major default or contract breach among AI tenants, lenders, or landlords before bitcoin's next halving in 2028.

cryptonews.ru07/28 11:26

Miners Advised Not to Buy GPUs for AI and to Focus on Infrastructure

cryptonews.ru07/28 11:26

Bitcoin Mining Farms Are Becoming AI Factories

Bitcoin mines are transforming into AI factories. This shift is driven by the convergence of three key assets from the previous crypto cycle: infrastructure, talent, and capital. Crypto mining companies like Crusoe, CoreWeave, and Bitdeer are repurposing their core competency—securing power, land, and grid connections in remote locations—to build data centers for AI clients. These firms are signing multi-billion dollar, long-term contracts with companies like Anthropic, AWS, and Microsoft, as AI's demand for reliable, high-capacity compute surpasses the profitability of Bitcoin mining. Simultaneously, crypto entrepreneurs and engineers are applying their skills to new AI ventures. Examples include OpenSea's co-founder launching OpenRouter (an AI model aggregator), and former Coinbase engineers building Fal.ai (a generative media infrastructure platform). Their experience in building scalable, global software networks translates effectively to the AI space. Furthermore, capital accumulated during the crypto boom is now fueling AI. Figures like Jed McCaleb (co-founder of Ripple) funded Voltage Park, a large-scale GPU cloud provider. Notably, some crypto investments, like FTX's early bets on Anthropic and Cursor, have generated astronomical paper returns, demonstrating how high-risk crypto capital flowed into AI before it became mainstream. The transition is not just about repurposing hardware, but about redirecting critical resources—power infrastructure, distributed systems expertise, and venture funding—to the next technological frontier: artificial intelligence.

链捕手07/22 06:33

Bitcoin Mining Farms Are Becoming AI Factories

链捕手07/22 06:33

The Ethereum Foundation is Dead, The Era of Ethereum's Pluralistic Organizations Has Dawned

The Ethereum Foundation (EF) has announced the dissolution of its Protocol Support Team, marking a significant organizational shift. This move, described as the largest layoff in EF's history with a 20% staff reduction, follows a major internal restructuring announced in late June. The restructuring, which EF framed as necessary to streamline for future challenges, has drawn criticism for its perceived cold execution. Concurrently, several new independent non-profit organizations have emerged, founded by former EF members. These include Ethlabs, a research and development lab, and Ethereum Institutional, which focuses on promoting institutional adoption of Ethereum. Their rise is seen as both filling roles vacated by EF's downsizing and signaling a fragmentation of the Ethereum ecosystem's leadership. Amidst these changes, EF is also integrating advanced AI tools into its security operations. The security team has begun using AI agents to conduct red-team testing, which has already uncovered vulnerabilities in Ethereum's code. While EF states that AI complements rather than replaces human researchers, this technological shift hints at potential future reductions in human-centric roles within the organization. The article posits that these developments—massive layoffs, the exodus of key personnel like former Executive Director Xiaowei Wang, the rise of rival organizations, and AI integration—collectively point to a decline in EF's central authority. Once the undisputed leader of the Ethereum ecosystem, EF now faces questions about its future role, with speculation that it may evolve into more of a symbolic "ecosystem mascot" rather than a driving force for growth and adoption. This organizational turmoil unfolds against a backdrop of ongoing market pressure and community debate over Ethereum's value proposition.

marsbit07/10 08:35

The Ethereum Foundation is Dead, The Era of Ethereum's Pluralistic Organizations Has Dawned

marsbit07/10 08:35

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