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CoreWeave secures multi-year Anthropic contract for AI workloads

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Crypto Breaking News

CoreWeave, a publicly traded AI cloud infrastructure company, announced a multi-year agreement with Anthropic to run Claude AI model workloads in its data centers. The rollout will occur in phases, with the potential to expand over time, according to CoreWeave’s announcement.

Shares rose more than 12% on the news, trading around $102.73 at the time of reporting, according to Yahoo Finance coverage.

The deal comes amid CoreWeave’s recent financing round and strategic pivot. The company completed an $8.5 billion capital raise led by Meta Platforms, with the borrowing structured around deployed computing capacity rather than the company’s GPU hardware. In practice, the financing emphasizes predictable cash flows tied to the scale of compute capacity rather than the asset value of the hardware itself.

CoreWeave has long prioritized AI compute over crypto mining. The company pivoted away from mining and rebranded as an AI infrastructure provider in 2019, a move that positioned it to capitalize on growing demand for scalable AI workloads as the crypto industry faced cyclical pressures and rising energy costs.

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Key takeaways

  • The Anthropic deal is designed as a multi-year engagement with a phased deployment, opening the door to further expansion if demand grows.
  • The $8.5 billion capital raise, led by Meta Platforms, is collateralized against deployed compute capacity, signaling a shift toward cash-flow-based valuation in AI infrastructure rather than hardware-backed lending common in crypto mining.
  • CoreWeave’s pivot from crypto mining to AI infrastructure aligns with broader industry trends favoring AI compute markets in an environment of mounting mining headwinds.
  • Bitcoin miners face sustained economic pressures, with a notable share reportedly unprofitable, which reinforces the appeal of directing energy and computing resources toward AI workloads.
  • Analysts and market participants note that AI workloads—especially large-language-model inference and training—have become a more attractive revenue driver than traditional mining in recent years.

CoreWeave and Anthropic: a phased deployment for Claude workloads

In a statement, CoreWeave described the collaboration as a long-term, multi-year engagement aimed at supporting Anthropic’s Claude family of models. The plan is to roll out the compute capacity in stages, with the potential to scale as Claude’s demand grows and as the two companies refine capacity planning and efficiency. The arrangement underscores the ongoing shift in the AI ecosystem toward specialized cloud operators that can deliver cost-effective, scalable infrastructure for model development, training, and inference. By aligning with Anthropic, CoreWeave signals its intent to remain at the forefront of AI-accelerated compute, where the timing and cadence of deployments matter for both model developers and infrastructure providers.

CoreWeave has previously positioned itself as a bridge between AI research and production-grade compute, emphasizing the ability to deliver high-performance, scalable resources to a diverse set of AI workloads. The Anthropic partnership complements a strategy that seeks to monetize large-scale AI activity through predictable, capacity-driven revenue streams, rather than relying solely on hardware ownership or crypto-focused cycles. While the exact terms beyond the phased rollout were not disclosed, investors will be watching for indicators of expansion, such as additional model families integrated into Claude workloads or cross-service collaborations with other AI developers.

Financing anchored to compute capacity signals a strategic pivot

The capital raise tied to deployed compute capacity reflects a broader financial premise: the income stability of AI compute assets can be more predictable than hardware-backed collateral in volatile tech cycles. By stressing capacity-backed financing, CoreWeave and its backers aim to capture recurring revenue from ongoing Claude usage, rather than relying on the resale value or utilization of GPUs alone. The arrangement aligns with Meta Platforms’ broader investment in AI infrastructure, and it signals continued appetite among major tech sponsors for AI-oriented compute assets as a strategic asset class.

Industry observers have noted that such structures could become more common as AI workloads grow and require turnkey, scalable capacity that operators can commit to long term. For CoreWeave, the approach may enhance revenue visibility and help fund further expansion of its data-center footprint to meet rising demand from large-scale AI deployments.

Mining headwinds push AI compute demand higher

The broader crypto sector continues to wrestle with a challenging macro backdrop. Bitcoin mining remains capital- and energy-intensive, with rising energy costs squeezing margins as crypto asset prices fluctuate. CoinShares’ mining research has highlighted that as many as 20% of Bitcoin miners may be unprofitable under current conditions, underscoring the difficulty of sustaining traditional mining operations in today’s environment.

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Market participants have observed a shift of some mining capacity toward AI processing and other high-value compute tasks, particularly when energy prices become more favorable for AI workloads. Market-maker Wintermute has underscored the need for miners to find yield opportunities for their assets, including deploying crypto into DeFi protocols to shore up revenues in tighter macro cycles. The sector’s stress intensified after the October 2025 market crash, when Bitcoin slid from a peak near $126,000 to the low-$60,000s before stabilizing in the $70,000s range. In this context, AI compute demand appears increasingly attractive as a more predictable cash-flow engine for data-center operators.

Analysts have framed this dynamic as a structural shift: AI compute needs—quantities of scalable, dependable processing capacity—are increasingly displacing traditional mining activity as the dominant driver of data-center utilization and profitability. As Ran Neuner noted in market commentary, “AI is willing to pay more for electricity,” a factor that complicates the economics of mining and tilts the balance toward AI-centric infrastructure solutions.

What investors should watch next

The Anthropic deal adds a new layer to CoreWeave’s earnings narrative, linking revenue growth to a major AI model developer’s deployment cadence and efficiency improvements. Investors will look for clear milestones on Claude workloads—such as rollout scale, latency benchmarks, and energy efficiency—and for confirmation that capacity expansion aligns with Anthropic’s model-usage patterns. At the same time, the sector-wide shift away from mining toward AI compute will continue to influence capital allocation, asset mix, and financing terms across AI-focused data-center operators.

For miners and AI infrastructure players alike, the key questions center on energy prices, the trajectory of AI compute demand, and the ability of data-center networks to scale while maintaining profitability. The CoreWeave-Anthropic alliance provides a concrete data point in a broader narrative: AI workloads may become the dominant driver of compute demand in the near term, with capital markets increasingly favoring capacity-backed models over hardware-centric financing in volatile cycles.

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As the relationship between AI developers and compute providers deepens, observers will want to monitor how Anthropic’s Claude deployments scale in CoreWeave’s footprint, whether additional AI customers follow suit, and how this model of long-term, capacity-backed financing influences valuations and funding in the sector.

What remains uncertain is how broader regulatory and energy-market developments will shape the economics of AI compute versus crypto mining. Until then, CoreWeave’s latest collaboration with Anthropic serves as a tangible sign that AI-centric infrastructure—and the funding mechanisms that support it—are increasingly central to the next phase of digital technology deployment.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Stablecoin Flows Emerge as Leading Signal for L1 Market Performance: Research

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR:

  • Artemis stablecoin factor posted 83.6% annualized returns with minimal dependence on Bitcoin direction.
  • The strategy gained 6.8% monthly across BTC down months, showing resilience during crypto market weakness.
  • Mid-cap chains including Polygon and Sei generated 84% of total stablecoin factor returns over five years.
  • Stablecoin flows remained Artemis’ least-correlated alpha factor with only 6.1% variance overlap.

Stablecoin flows are emerging as one of crypto’s clearest signals for layer-1 market rotation. 

New research from Artemis shows capital moving through stablecoins consistently preceded stronger relative returns across major chains. The firm’s five-year backtest found the strategy remained largely detached from broad crypto market direction. 

Results also showed the factor produced gains during months when Bitcoin posted losses.

Stablecoin Flows Predict L1 Returns Across Market Cycles

Artemis said its weekly rebalanced long-short factor generated a 1.67 Sharpe ratio over five years. The model delivered an annualized return of 83.6% during the test period.

The same backtest recorded a maximum drawdown of 43.9%. A volatility-targeted overlay lowered drawdown to 31.9% while reducing Sharpe to 1.17.

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The data pointed to minimal dependence on Bitcoin’s broader trend. Artemis reported a market beta of -0.03 and an R² of 0.1%.

That structure became more visible during weaker crypto conditions. Across 30 BTC-negative months, the factor returned 6.8% monthly while Bitcoin fell 10.9%.

Artemis also measured annualized alpha at 73.8% after controlling for market exposure. The reported t-statistic reached 3.31 with significance at the 1% level.

The firm noted the strategy’s out-of-sample Sharpe estimate still held at 0.96 after applying a degrees-of-freedom haircut. That kept stablecoin flows among its strongest market-neutral crypto signals.

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Mid-Cap Chains Drive Stablecoin Factor Alpha

Most of the gains came from the long side of the book. Artemis said 84% of returns originated from long exposure to chains attracting positive stablecoin inflows.

Mid-cap networks dominated the return profile. Polygon, Mantle, Optimism, BSC, and Sei contributed 84% of total factor returns.

The research also showed limited overlap with Artemis’ broader factor suite. Maximum pairwise correlation across the stack measured only 0.16.

Even after spanning regression against all other factors, the stablecoin signal retained a 2.54 t-statistic. Artemis said just 6.1% of variance overlapped with other models.

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Performance also stayed resilient through distinct market phases. The factor returned 262% in 2021, 47% in 2022, and 315% in 2025.

Its only negative year came in 2024 with a 13% decline. Artemis linked that period to stagnant aggregate stablecoin supply growth before recovery resumed.

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EngageLab Flaw Opened 30M Wallet Apps to Android Data Theft: Microsoft

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR:

  • Microsoft found the EngageLab SDK bug could expose private wallet data across 30M Android installs globally.
  • The flaw abused Android intents to grant hostile apps persistent read and write provider permissions.
  • EngageLab fixed the issue in v5.2.1 by changing MTCommonActivity to non-exported status.
  • Google Play removed affected wallet apps, while Android added safeguards for already installed versions.

Microsoft has disclosed a severe Android SDK vulnerability that placed more than 30 million crypto wallet installs at risk. The flaw affected EngageLab’s widely used EngageSDK, which many wallet apps used for push messaging features. 

According to Microsoft’s security research, the issue enabled malicious apps on the same device to bypass sandbox protections. Google Play has since removed all identified apps using the vulnerable SDK versions.

EngageLab Android SDK Flaw Exposed Crypto Wallet Attack Surface

Microsoft said the issue centered on an exported Android activity called MTCommonActivity

The component was automatically added during manifest merging after developers imported the SDK. Because it appeared post-build, many teams likely missed it during review. That left production APKs open to hidden risk.

The vulnerable flow began when the activity received an external intent. Its onCreate() and onNewIntent() callbacks both routed data into processIntent()

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That method extracted a URI string and forwarded it deeper into the SDK logic. The chain eventually rebuilt and launched a new intent.

Microsoft’s write-up noted the critical failure happened in a helper method. Instead of returning a safe implicit intent, it returned an explicitly targeted one. That changed Android’s normal resolution path and let hostile apps redirect execution. 

In practice, the vulnerable wallet app launched the malicious payload with its own privileges.

The risk worsened because the SDK used Android’s URI_ALLOW_UNSAFE flag. That allowed persistent read and write URI permissions inside the redirected intent. 

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A malicious app could then gain access to non-exported content providers. From there, sensitive wallet files, credentials, and user data became reachable.

Microsoft Patch Timeline and Android Wallet Mitigation Guidance

Microsoft Security Vulnerability Research first identified the flaw in EngageSDK version 4.5.4 in April 2025. It then notified EngageLab under coordinated disclosure rules. 

The Android Security Team also received the report because affected apps were live on Google Play. The fix arrived months later in version 5.2.1 on November 3, 2025.

In the patched release, EngageLab changed the vulnerable activity to non-exported. That single change blocks outside apps from invoking the component directly. Microsoft said it currently has no evidence of in-the-wild exploitation. Still, it urged developers to update immediately.

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The report stressed that third-party SDKs can silently expand wallet attack surfaces. 

Crypto apps face elevated stakes because they often store keys, credentials, and financial identifiers. Even minor upstream library flaws can ripple across millions of devices. This case pushed total exposure above 50 million installs when non-wallet apps were included.

Microsoft also said Android added automatic protections for previously installed vulnerable apps. Those mitigations reduce risk while developers migrate to the fixed SDK. 

The company urged teams to inspect merged manifests after every dependency update. That review can catch exported components before release.

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XRP Price Flashes Multiple Bottom Signals As Bulls Defend $1.30.

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XRP Price Flashes Multiple Bottom Signals As Bulls Defend $1.30.

XRP (XRP) has been in an eight-month downtrend, with momentum and onchain indicators at levels that previously coincided with macro bottoms.

Data from TradingView reveals that the relative strength index (RSI) of the XRP/BTC ratio is at 24, the most oversold level since October 2025. 

Such low levels in the daily RSI have marked market bottoms for the ratio, ultimately leading to 65% to 345% XRP price breakouts against Bitcoin as seen late 2024 and 2025.

XRP/BTC daily chart. Source: Cointelegraph/TradingView

The chart above also shows that the XRP/BTC pair is trading within a long consolidation range, which has previously acted as a strong launching pad for the ratio.

The last time XRP bottomed against Bitcoin around this zone was in June 2025. It marked the beginning of a 61% increase in the XRP/BTC ratio, accompanying a 92% XRP price rally to a multi-year high of $3.66.

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Other instances shown by the yellow bars in the chart reinforce the reliability of this level in marking macro bottoms for XRP/BTC. 

MVRV Z-Score suggests XRP price is bottoming

XRP’s MVRV Z-score is hovering near zero, a level that historically aligns with accumulation zones and market bottoms.

This indicates that most holders are close to breakeven, reducing sell pressure and signalling potential downside exhaustion. Similar patterns appeared in 2021, 2022 and 2024 before major rallies.

XRP MVRV Z-score vs. price. Source: Glassnode

Note that the last time XRP’s MVRV Z-score fell to similar levels in late 2024 coincided with a macro market bottom at $0.30 and preceded a multi-month rally, with the XRP/USD pair rising 500% to a multi-year high above $3. 

Meanwhile, the 0.80 MVRV pricing band, which has historically marked cycle bottoms, is currently at $1.14, coinciding with a 15-month low reached on Feb. 6.

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XRP: MVRV pricing bands. Source: Glassnode

These onchain metrics suggest that XRP is undervalued and may continue the ongoing recovery, potentially rising toward $1.70 or higher

XRP price must hold above $1.30 

Meanwhile, XRP/USD remains cautiously bullish as long as it holds the $1.25-$1.30 support zone. 

“$XRP is sustaining the major support zone between $1.30-$1.25 levels since early Feb’26,” trader ChiefraT said in an X post on Friday, adding:

“If this zone continues to hold, then a short-term bounce towards $1.45 can’t be ruled out.”

XRP/USD daily chart. Source: Cointelegraph/TradingView

The importance of this support level is reinforced by cost basis distribution. The heatmap below shows that nearly 1.73 billion XRP were acquired around this price.

XRP cost-basis distribution heatmap. Source: Glassnode

Below that, the next line of defence is the $1.15 demand zone, where the 200-week simple moving average is. 

If XRP/USD drops below this level, it would be in a free-fall toward the measured target of the bear flag at $0.80, or 41% below the current price.

As Cointelegraph reported, holding $1.27-$1.30 would be a sign of strength among the bulls who must push the XRP/USD pair toward the $1.61 range high to regain control. 

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