Earlier this week, a sweeping US winter storm pushed Bitcoin miners to curtail, pulling a noticeable chunk of computing power off the network in a short window.Earlier this week, a sweeping US winter storm pushed Bitcoin miners to curtail, pulling a noticeable chunk of computing power off the network in a short window.

Bitcoin miners are making millions by shutting down because of a massive US winter storm

2026/02/01 01:55
10 min read

Earlier this week, a sweeping US winter storm pushed Bitcoin miners to curtail, pulling a noticeable chunk of computing power off the network in a short window.

Data shows a 40% dip in hashrate between Jan. 23 and Jan. 25, with around 455 EH/s going offline, and block production slowing to around 12 minutes for a stretch.

bitcoin hashrate Graph showing Bitcoin's hashrate from Jan. 20 to Jan. 30, 2026 (Source: CoinWarz)

The fact that the sharpest drop came from Foundry USA, the largest mining pool with the largest presence in the US, tells you that the drop was caused by curtailments.

bitcoin mining pools hashrate minersGraph showing the 30-day distribution of Bitcoin's hashrate by mining pools on Jan. 30, 2026 (Source: Hashrate Index)

Why can so many miners now shut off quickly? Why would they ever choose to do it, and what do those choices mean for Bitcoin’s security budget, transaction flow, and the politics of plugging a large industrial load into a grid that can get stressed in extreme cold?

Curtailment 101: miners as flexible load, not fragile infrastructure

While curtailment is simple in definition, it's kind of messy in practice. At the simplest level, it's miners reducing electricity consumption, either partially or fully, because power is scarce, expensive, or contractually more valuable to sell back to the grid than to burn through ASICs.

In the US, and especially in Texas, that choice has matured into a full-blown business model. ERCOT has explicitly created mechanisms meant for “large flexible customers” that can reduce load during peak demand, and it named Bitcoin mining facilities as a core example.

The idea is straightforward: if a load can drop quickly, reliably, and repeatedly, a grid operator can treat it as a pressure-release valve during tight conditions.

In real mining fleets, curtailment tends to fall into three buckets.

The first is purely economic. Miners watch a simple spread: revenue per unit of hash versus the all-in cost of producing that hash. When real-time power prices spike, the cheapest decision can be to just stop hashing.

This is no charity, and it's certainly not some kind of corporate moral stance. It's just your basic unit economics measured minute by minute, especially for miners exposed to wholesale pricing.

The second is contracted. Some miners sign demand-response arrangements where the “off switch” is effectively part of the product they sell.

Texas has offered multiple ways for flexible load to participate in reliability programs, and the last few years have produced plenty of cases of miners profiting during stress events by curtailing or selling contracted power back into the market.

Company disclosures show miners can earn money for not consuming power when the grid is tight. In Riot’s August 2023 update, the company split the haul into two buckets: $24.2 million of “power Credits,” which it describes as power curtailment credits earned by selling contracted power back into ERCOT at market spot prices, plus $7.4 million of something called “demand response credits,” tied to participation in ERCOT demand response programs.

The smaller, routine versions of this show up in almost all of Riot’s monthly reporting. In its November 2025 update, Riot listed $1 million in estimated power curtailment credits and $1.3 million in estimated demand response credits, noting that those demand response credits came from participation in ERCOT and MISO programs and that the combined credits are netted against its all-in power cost.

Iris Energy’s investor update from August 2023 said its Texas site generated about $2.3 million in “power sales,” described as power credits primarily driven by voluntary curtailment under hedge contracts tied to ERCOT real-time prices.

In that setup, a mining site is closer to a hybrid of data center and power trader than the old mental model of a warehouse that just runs ASICs until they break.

The third is emergency or rule-driven. Texas now expects the biggest new loads to be curtailment-ready as a condition of interconnection in grid-emergency scenarios, explicitly naming crypto miners and data centers among the targets.

That matters because it turns curtailment from something nice to have into something that's now built into the operating plan.

What makes this week’s storm useful as a teaching moment is that the incentives line up.

Cold snaps lift heating demand, which tightens reserve margins and often triggers conservation alerts. The storm was seriously disruptive for the US energy system, with price spikes and operational strain reported across regions.

So, if you're a miner sitting on a flexible load arrangement, curtailment is often the cleanest, most rational response to a grid that is suddenly valuing a megawatt more than a terahash.

This is also why the pool-level picture can move fast. When US-heavy operators curtail, their pools register it almost immediately. The week’s curtailment effect was most easily seen through the visible drop in Foundry's hashrate and the knock-on slowdown in blocks.

While the network is global, the marginal hashrate swing can still be regional when enough capacity clusters behind a handful of operators and grid regimes.

Bitcoin’s difficulty timer: why slow blocks are usually a temporary tax

A hashrate shock scares people because they map it directly to security. That's true, but in a very narrow sense, because fewer hashes per second means the brute-force cost of attacking the chain is lower than it would be at peak hashrate.

But the more important operational question is what Bitcoin does when hashes disappear quickly. The answer is that Bitcoin has a built-in recalibration mechanism with a built-in delay.

Bitcoin targets one block roughly every 10 minutes, but it doesn't adjust difficulty continuously. It adjusts difficulty every 2,016 blocks based on how long the last 2,016 blocks took to mine.

That structure creates the short-term “storm tax.” If a lot of miners shut off today, blocks will be slow today. However, the difficulty doesn't instantly drop to compensate; the network just produces blocks more slowly until enough of them pass for the next adjustment to reprice the work.

You could see that taking place in real time this week. CoinWarz’s difficulty dashboard showed the network running slower than the 10-minute target, with average block time above target during the window it tracked.

When block production stretched to roughly 12 minutes, it was the lived experience of that lag: fewer blocks per hour, slower confirmations on average, and a mempool that can thicken if transaction demand holds steady.

But slow blocks aren't Bitcoin “breaking,” they're Bitcoin charging users and miners a time cost for abrupt changes in hash supply.

If the shock fades quickly and miners come back online as prices normalize and grid stress eases, the network may never need a difficulty adjustment. If the shock persists, the next adjustment will lower difficulty and pull block timing back toward the target.

The fee market can also behave in ways that confuse casual observers. A short spell of slow blocks can lift fee pressure if demand is steady, but it can also pass quietly if the mempool wasn't tight to begin with and demand is soft.

The bigger point here is that Bitcoin’s design assumes mining power is opportunistic and sometimes transient. Difficulty adjustment is the protocol’s way of accepting that reality without turning every local infrastructure event into a systemic failure.

Winter storms as repeat stress tests: Uri, Elliott, and what 2026 adds

This isn't the first time winter weather has affected Bitcoin. What changed is the scale of the US footprint and how integrated miners have become in grid programs.

Start with Winter Storm Uri in February 2021, the modern reference point for Texas grid trauma. Uri drove a historic demand surge while generation failed across fuel types, triggering widespread outages and a political reckoning.

Back then, large-scale bitcoin mining was far less intertwined with Texas reliability planning. The industry was smaller in-state, and the “miners as flexible load” concept was almost completely theoretical. That's significantly different than today’s setup, where curtailment is easier to coordinate and far more common.

Uri matters for this story because it sets the political backdrop. After a crisis like that, any large new electricity user gets measured against a simple question: Will you make the next emergency better or worse?

Now jump to Winter Storm Elliott in December 2022, the episode that more directly resembles this week’s hashrate pattern. Galaxy’s 2022 mining report described Elliott as a moment when miners curtailed as much as 100 EH of hashrate, framing it as roughly 40% of network hashrate at the time, done to help stabilize the grid.

Separate academic and policy discussions have also cited the same order of magnitude, reinforcing that Elliott was a major curtailment event rather than a blip in hashrate.

Elliott is the clean comparison because it showed two things at once. First, large miners can shut off at scale on short notice during extreme cold. Second, once miners build curtailment into their commercial relationships, those shutoffs become legible and, in some cases, expected.

What does 2026 add? It adds the reality that “flexible load” is no longer mostly about miners, but about a broader class of giant compute loads.

The US Energy Information Administration has described Texas as a center of fast electricity demand growth, explicitly calling out data centers and cryptocurrency mining as major contributors and pointing to ERCOT’s task-force style oversight around large loads.

That matters because the grid politics change when flexible load stops being a niche. Once AI data centers and other compute-heavy facilities compete for the same interconnection capacity and the same public patience, miners lose the ability to argue that they're a special case.

They become one category inside a broader debate about who gets power first during stress, and who pays for the grid upgrades needed to serve everyone.

Bloomberg’s reporting on the storm pointed in the same direction, discussing how large industrial loads, including crypto mines and data centers, reduced power use during the event and how ERCOT’s demand expectations moved as conditions evolved.

That sort of framing from the mainstream media is a reminder that the next decade of mining in the US will be narrated through grid governance as much as through Bitcoin price cycles.

So the hashrate drop this week is best read as a preview. As the US share of mining remains large and as compute loads keep scaling, weather events will keep producing these short-lived network slowdowns. The protocol can handle them. The political environment is less forgiving.

Bitcoin’s difficulty timer makes curtailment survivable for the chain, and flexible-load economics can make curtailment profitable for miners. The open question is whether regulators and residents accept the bargain: a large new load that promises to leave when asked, in exchange for the right to plug in the rest of the time.

The post Bitcoin miners are making millions by shutting down because of a massive US winter storm appeared first on CryptoSlate.

Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Altcoin Rally Will Come Only When This Coin Makes ATH

Altcoin Rally Will Come Only When This Coin Makes ATH

The post Altcoin Rally Will Come Only When This Coin Makes ATH appeared on BitcoinEthereumNews.com. The crypto market is buzzing with talk of an altcoin season, but one prominent analyst says the true rally will only come after Ethereum hits a new all-time high. According to renowned crypto analyst Benjamin Cowen, a genuine altcoin season, like those seen in late 2017 and 2021, depends on three key conditions. The first is for Ethereum to not just break its all-time high (ATH), but to sustain a durable price above it. The second is a decline in Bitcoin dominance. And the third is the emergence of clear signs of crypto market rotation. Cowen emphasizes that Ethereum’s movement is the single most important factor for triggering a major altcoin season. He believes the current calls for an altcoin season are premature because Ethereum has yet to achieve a lasting ATH. Sponsored Sponsored Cowen expects Ethereum might briefly push above the $5,000 mark but must “check back in” with its 21-week exponential moving average (EMA) during a correction to build a robust rally. Cowen also believes an altcoin season is unlikely in October. Historically, Bitcoin dominance has seen its biggest monthly increase in October, rising by an average of 5%. He says the market should only expect an altcoin season after Bitcoin dominance begins to decline and a clear rotation into altcoins begins. Cowen also shared his outlook for the top of the current bull cycle. He explained that past cycles have tended to peak in the fourth quarter of the year following a halving, a pattern seen in 2013, 2017, and 2021. This suggests that the current cycle’s peak will likely arrive in the fourth quarter of this year. In terms of days, the current rally is 1,041 days old, while the previous two cycles topped out at 1,059 and 1,067 days, respectively. Cowen’s Forecast for the Coming…
Share
BitcoinEthereumNews2025/09/19 20:48
AI Data Centers: Unleashing Billions in a Revolutionary Tech Investment Wave

AI Data Centers: Unleashing Billions in a Revolutionary Tech Investment Wave

BitcoinWorld AI Data Centers: Unleashing Billions in a Revolutionary Tech Investment Wave In the rapidly evolving digital landscape, where breakthroughs are measured in petabytes and processing power, a monumental shift is underway that echoes the early days of crypto innovation: the unprecedented investment in AI Data Centers. Just as blockchain technology reshaped our understanding of decentralized finance, artificial intelligence is now redefining infrastructure, demanding colossal resources and attracting billions in capital. For those plugged into Bitcoin World, understanding this seismic shift isn’t just about tracking tech trends; it’s about recognizing the foundational changes that will power the next generation of digital economies and potentially influence everything from trading algorithms to network security. Understanding the AI Data Centers Phenomenon The sheer scale of capital flowing into AI Data Centers is staggering. Recent reports, like the purported $100 billion commitment for OpenAI’s compute infrastructure, highlight a level of investment previously unimaginable. These aren’t your typical server farms; AI Data Centers are highly specialized facilities, optimized for the intensive computational demands of machine learning models. They require: Massive GPU Clusters: Unlike traditional CPUs, GPUs are adept at parallel processing, crucial for training complex AI models. Advanced Cooling Systems: The heat generated by these powerful processors necessitates sophisticated cooling solutions. High-Bandwidth Networking: Moving vast datasets between servers and storage requires ultra-fast network infrastructure. Sustainable Power Solutions: The energy consumption is immense, driving demand for greener and more efficient power sources. These facilities are the bedrock upon which the future of AI will be built, enabling everything from advanced generative AI to autonomous systems. The race to build and expand these centers signifies a profound belief in AI’s transformative power and its potential to reshape global industries. Fueling the Future: The Surge in AI Infrastructure Beyond the physical walls of AI Data Centers, the entire AI Infrastructure ecosystem is experiencing an unprecedented surge. This includes not only the hardware—like NVIDIA’s cutting-edge GPUs and custom AI chips from companies like Google and Amazon—but also the intricate software layers, specialized networking solutions, and robust cybersecurity measures required to protect and manage these complex systems. The demand for this infrastructure is driven by: Rapid AI Model Development: As models grow larger and more sophisticated, so does their computational appetite. Enterprise AI Adoption: Businesses across sectors are integrating AI, from customer service chatbots to predictive analytics, requiring scalable infrastructure. Cloud AI Services: Major cloud providers (AWS, Azure, GCP) are heavily investing to offer AI-as-a-service, making powerful AI accessible to more users. This comprehensive build-out of AI Infrastructure is not merely about capacity; it’s about creating a resilient, efficient, and secure foundation that can support the next wave of AI innovation, making it a critical area for observation for anyone tracking major tech shifts and their impact on the digital economy. Decoding the Massive AI Investment Landscape The sheer volume of AI Investment is perhaps the most telling sign of the times. We’re witnessing a multi-faceted financial commitment from venture capitalists, tech giants, and even sovereign wealth funds. This isn’t just about funding startups; it’s about strategic long-term plays in foundational technology, reflecting a global belief in AI’s inevitable dominance. Consider the following aspects of this investment surge: Corporate Spending: Tech titans like Microsoft, Google, and Amazon are pouring billions into their AI divisions and infrastructure, securing their positions at the forefront. Startup Funding: AI startups continue to attract massive rounds, often with valuations soaring into the billions before product launch, indicating high market confidence. Government Initiatives: Nations are recognizing AI as a strategic imperative, allocating funds for research, development, and infrastructure to maintain competitive edges. This influx of capital is creating a self-reinforcing cycle: more investment leads to more innovation, which in turn attracts more investment. The implications for the global economy, including sectors relevant to cryptocurrency, are profound, as this AI Investment fuels new applications and potentially new digital assets. Is This the New AI Gold Rush? The term ‘AI Gold Rush‘ is frequently used, and for good reason. The parallels to historical periods of rapid expansion and wealth creation are striking. From the California Gold Rush to the dot-com boom, moments of transformative technology often spark frenzied activity. Today, the ‘gold’ is computational power, data, and skilled expertise, driving an unprecedented scramble for resources. What defines this AI Gold Rush? Rapid Value Creation: Companies leveraging AI are seeing exponential growth in valuation and market cap, often outpacing traditional industries. Intense Competition: The race to acquire resources—compute, talent, data—is fierce, leading to soaring costs and aggressive acquisition strategies. Speculative Investment: While much investment is strategic, there’s also an element of speculative capital chasing the next big AI breakthrough, reminiscent of past tech booms. Infrastructure Scramble: The urgent need for robust AI Infrastructure is creating immense opportunities for hardware manufacturers, cloud providers, and energy companies. While the opportunities are immense, like any gold rush, there are inherent risks. Over-speculation, unsustainable business models, and the potential for market correction are factors that savvy investors, including those in the crypto space, are carefully monitoring. The long-term winners will be those who build sustainable value amidst the frenzy. Navigating the AI Talent Shuffle: Challenges and Opportunities Amidst the hardware and capital, the human element—AI Talent—remains arguably the most critical and most expensive resource. The demand for skilled AI engineers, researchers, and data scientists far outstrips supply, leading to unprecedented competition for top professionals. The article’s mention of $100,000 visa fees is a stark illustration of how far companies are willing to go to secure the best minds globally. The AI Talent shuffle presents: Skyrocketing Salaries: Top AI professionals command salaries rivaling executive compensation, reflecting their value. Global Competition: Companies are recruiting globally, leading to brain drain concerns in some regions and fostering international talent wars. Upskilling Imperative: Existing workforces face pressure to adapt and acquire AI-related skills to remain relevant in an evolving job market. Ethical Considerations: As AI becomes more powerful, the need for ethical AI developers who understand its societal impact becomes paramount for responsible innovation. This intense focus on AI Talent acquisition and development underscores that while machines may be learning, human ingenuity and expertise are still the ultimate drivers of innovation in this transformative field. For crypto enthusiasts, understanding the flow of this talent can indicate where the next wave of innovation in decentralized AI or blockchain-AI integration might emerge, shaping future projects and ecosystems. The narrative of billions being poured into AI Data Centers and the broader AI Infrastructure is not just a fleeting headline; it’s a foundational story shaping the future of technology. From the strategic AI Investment driving unprecedented growth to the intense competition defining the AI Gold Rush, and the crucial scramble for AI Talent, every aspect points to a paradigm shift. As discussed on Bitcoin World’s ‘Equity’ podcast, this isn’t merely an expansion; it’s a redefinition of what’s possible, impacting every industry, including the burgeoning world of digital assets. The coming years will undoubtedly reveal the full extent of AI’s transformative power, making this a pivotal moment for observation and strategic engagement. To learn more about the latest AI market trends, explore our article on key developments shaping AI features and institutional adoption. This post AI Data Centers: Unleashing Billions in a Revolutionary Tech Investment Wave first appeared on BitcoinWorld.
Share
Coinstats2025/09/27 01:55
England’s Titanic Hitters Cruise Past Ireland In First T20 At Malahide

England’s Titanic Hitters Cruise Past Ireland In First T20 At Malahide

The post England’s Titanic Hitters Cruise Past Ireland In First T20 At Malahide appeared on BitcoinEthereumNews.com. DUBLIN, IRELAND – SEPTEMBER 17: Phil Salt of England hits out for six runs watched by Ireland wicketkeeper Lorcan Tucker during the first T20 International match between Ireland and England at Malahide Cricket Club on September 17, 2025 in Dublin, Ireland. (Photo by Gareth Copley/Getty Images) Getty Images England continued their brutal form in T20 internationals after they beat Ireland on Wednesday in the first of a three-match series. A trip across the Irish sea was a gentle introduction for stand-in captain Jacob Bethell as his side completed a comprehensive four-wicket win over the Green and Whites within the attractive environment of Malahide Castle and Gardens. England have now scored over 500 runs in the last two T20s. They mauled South Africa at Manchester last Tuesday, recording the highest score by a Full Member nation in the format. Phil Salt, who belted 141 at Old Trafford, fell 11 runs short of another century in his quest to be the best T20 batter in the world. Salt swiped his bat against his pad in anger as he walked off, but he has smashed a combined 12 sixes and 25 fours in those knocks. Ireland had batted well, scoring 25 boundaries after a relatively subdued powerplay. Lorcan Tucker averages over 40 in Test cricket, and his multi-format skills had a breezy outing here. The wicketkeeper hit a splendid 55 as he put on a stand of 123 with Harry Tector, who made 63. The only black mark against England was the bowling effort. Adil Rashid suffered more than usual in the truncated series against the Proteas, and he chucked in some ropey deliveries in North Dublin too. Jamie Overton has taken himself out of red-ball selection, but he was wayward in length. Sam Curran, England’s bits and pieces specialist, didn’t have his…
Share
BitcoinEthereumNews2025/09/18 07:53