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Bitcoin to Ride Tailwinds If AI Drives Easier Monetary Policy, NYDIG

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Bitcoin could gain ground if artificial intelligence reshapes labor markets or creates volatility that nudges central banks toward looser monetary policy, according to Greg Cipolaro, research lead at NYDIG. In a Friday note, he argued that AI may emerge as a general‑purpose technology on par with electricity, with macro effects on employment, economic growth and risk appetite that feed into the crypto market. The implications for Bitcoin (CRYPTO: BTC) hinge on the broader policy and liquidity backdrop: AI‑driven growth paired with ample liquidity and low real yields could be supportive, while a scenario of rising real yields and tighter policy would introduce headwinds. Conversely, if AI triggers labor disruption or market volatility that prompts fiscal expansion and looser policy, the liquidity impulse could again favor Bitcoin.

Key takeaways

  • AI could act as a broad macro catalyst, influencing employment, growth, risk appetite, and ultimately Bitcoin (CRYPTO: BTC) through shifts in liquidity and policy expectations.
  • Bitcoin’s direction depends on the interplay between AI‑driven growth, liquidity conditions, and the path of real interest rates; sustained expansion with accommodative policy may support BTC, while tighter real rates could weigh on it.
  • Disruptive AI adoption may trigger fiscal expansion and easier monetary policy in some scenarios, delivering a liquidity impulse that tends to benefit Bitcoin (CRYPTO: BTC).
  • Corporate AI ambitions are already reshaping corporate workforces, as seen in high‑visibility restructuring plans, signaling broader macro and market implications for risk assets.
  • Regulatory and policy signals surrounding AI’s impact on employment could influence risk sentiment and crypto flows in the near term, alongside traditional equity and fixed income markets.

Tickers mentioned: $BTC, $SQ, $COIN, $GS

Market context: The AI wave is converging with ongoing liquidity dynamics and risk‑on sentiment in crypto markets. As institutions assess AI’s productivity gains and potential disruptions, macro data releases and central bank guidance will help determine whether crypto assets like Bitcoin can sustain a bid amid shifting policy expectations.

AI adoption is already altering corporate strategy and labor markets, a trend that crypto markets are watching closely. The broader narrative suggests that the technology could be a catalyst for both growth and volatility, depending on how fiscal and monetary authorities respond to changes in productivity and demand. In the near term, investors are parsing whether AI‑led productivity will accompany a period of loose financial conditions or whether the opposite dynamic—tightening policy in response to stronger growth—will prevail.

Why it matters

The intersection of AI and crypto sits at a critical juncture for investors and developers. If AI accelerates productive capacity while liquidity remains ample and real yields stay subdued, Bitcoin could benefit from a favorable risk environment and higher risk tolerance among investors seeking alternative stores of value. Conversely, if AI boosts output and real yields rise, policy normalization could reduce the appeal of risk assets, including BTC, even as the technology broadens the toolkit available to market participants.

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From a labor‑market perspective, the outlook is nuanced. Goldman Sachs’ research arm suggested that widespread AI adoption could displace a portion of the workforce, even as it creates new opportunities. That tension—displacement alongside new roles—has historically been resolved through gradual adaptation and retraining rather than abrupt obsolescence. The practical implication for Bitcoin is not merely a price impulse but a shift in macro conditions that shape liquidity, risk appetite, and the relative attractiveness of crypto as an inflation‑hedge or diversification instrument.

Within the crypto industry, the AI rollout is not purely theoretical. Coinbase introduced a Payments MCP tool that enables AI agents to access on‑chain financial tools—an innovation that tests how AI can operate safely within decentralized systems while highlighting new risk vectors for security and market integrity. As AI agents gain more autonomy over financial actions, the ecosystem will need robust risk management, auditing, and compliance frameworks to avert unintended consequences.

The narrative is further complicated by corporate actions tied to AI. Block, the payments company co‑founded by Jack Dorsey, announced plans to cut roughly 40% of its staff as part of an AI‑driven restructuring, signaling that major tech and fintech firms are recalibrating cost structures in response to automation. That kind of market‑moving news underscores how AI may trigger both productivity gains and near‑term volatility as companies realign their workforces and investment priorities.

Looking ahead, the balance of macro forces—central bank policy, fiscal responses to AI‑enabled growth, and the pace of AI deployment—will shape how BTC trades in the coming quarters. If AI‑led productivity collapses into broader liquidity, Bitcoin could find a receptive environment; if not, the path of least resistance for BTC could be more challenging. The ongoing debate about AI’s macro impact is not just about employment; it’s about how money, policy, and risk assets interact in a world where automation and data drive more decision‑making than ever before.

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What to watch next

  • Upcoming macro data and central bank guidance to gauge whether AI‑driven growth translates into a more accommodative or restrictive policy environment.
  • Details on Coinbase’s Payments MCP rollout, including any updates on safety assessments and the practical adoption by institutions and retail users.
  • Further AI‑related restructurings or earnings commentary from major tech and fintech firms, and their impact on liquidity in crypto markets.
  • New research updates from Goldman Sachs or other institutions outlining the labor market implications of AI and potential knock‑on effects for risk sentiment.
  • BTC price responses to macro shocks linked to AI developments, providing a test of Bitcoin’s sensitivity to shifts in liquidity and policy expectations.

Sources & verification

  • NYDIG research note by Greg Cipolaro on AI as a potential general‑purpose technology and its macro effects on BTC.
  • Reports on Block’s planned staff reductions tied to AI‑driven restructuring.
  • Goldman Sachs research on the potential displacement and creation of jobs due to AI adoption.
  • Coinbase announcement of Payments MCP enabling AI agents to access on‑chain tools.
  • Related coverage on AI, crypto funding, and industry developments referenced in the original reporting.

What the announcement changes

What to watch next

Rewritten Article Body: AI as a macro catalyst for Bitcoin

Bitcoin (CRYPTO: BTC) stands at the intersection of two transformative trends: artificial intelligence’s runaway potential and the evolving policy stance of global central banks. In a forward‑looking view, Greg Cipolaro, the research lead at NYDIG, framed AI as a “general‑purpose technology” whose macro effects—on employment, growth, and risk appetite—could materially influence the path for BTC. The core argument is simple but consequential: if AI‑driven growth is accompanied by expanding liquidity and low real rates, BTC could benefit from a more favorable macro backdrop. But if that growth pushes real yields higher and policy becomes more restrictive, Bitcoin could face headwinds that temper enthusiasm for risk‑sensitive assets.

Cipolaro’s logic rests on a classic macro equation: technology boosts productivity, which should lift demand for assets that function as stores of value or hedges against inflation and uncertainty. Yet the tech boom is not a guarantee of perpetual ease. In practice, the same AI adoption that accelerates growth can also provoke shifts in the labor market and in fiscal and monetary policy. If AI growth translates into higher real activity without overheating inflation, central banks might tolerate looser financial conditions longer. In such a scenario, Bitcoin could ride a liquidity tailwind as investors search for non‑traditional diversifiers amid rising risk appetite.

Conversely, Cipolaro warned that if AI‑driven productivity pushes the economy toward higher real yields, or if policymakers tighten to cool overheating, BTC’s path could weaken. The idea is not that Bitcoin is inherently fragile, but that its performance is increasingly tethered to the broader policy environment and the velocity of liquidity. In other words, BTC’s fate may be decided as much by macro policy reactions to AI‑enabled growth as by the technology’s direct impact on the crypto market. The takeaway is nuanced: the same technology that could lift BTC through liquidity cycles can also dampen it if it prompts policy normalization that drains speculative capital from risk assets.

The conversation around AI’s macro impact gains realism when considering how the labor market might respond. Goldman Sachs’ research arm, in August, noted that widespread AI adoption could displace a portion of the US workforce, even as it promises to create new opportunities. The report underscored a familiar theme in technology transitions: disruption and opportunity often coexist, with the net effect dependent on policy choices, retraining, and the speed at which new jobs emerge. For the crypto market, the implication is not a single directional move but a spectrum of outcomes shaped by policy signals and the pace of AI integration into the real economy.

Within the crypto ecosystem, the AI narrative is already producing tangible experiments. Coinbase announced a new tool, Payments MCP, designed to grant AI agents access to the same on‑chain financial tools used by humans. The development marks a significant step in integrating AI capabilities with decentralized finance, while also highlighting new risk vectors—from misfired automation to security vulnerabilities in autonomous actions. Industry executives stressed that safety must be a priority as AI agents operate in on‑chain environments, posing questions for risk management and compliance frameworks that will shape adoption trajectories.

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Beyond wallets and protocols, AI is reshaping corporate strategy. Block, the payments company co‑founded by Jack Dorsey, disclosed plans to cut roughly 40% of its staff as part of a broader AI‑driven restructuring. The move is a vivid reminder that AI’s productivity gains can come with sharp adjustments to workforce composition and cost structures across the tech landscape. While such actions carry near‑term volatility for equities and tech‑driven liquidity, they also reflect the broader reallocation of resources toward more automated workflows and AI‑enabled platforms. For Bitcoin, these corporate shifts may contribute to liquidity dynamics and risk sentiment that influence price behavior in the months ahead.

As the AI‑era unfolds, Bitcoin’s trajectory will likely reflect a balance between macro stability and disruption. If AI accelerates growth without triggering aggressive tightening, BTC could benefit from an environment of ample liquidity and restrained inflation. If AI unlocks rapid productivity but also prompts policy normalization, risk assets—including Bitcoin—may face a more challenging climate. The overarching theme is that Bitcoin’s sensitivity to macro conditions is intensifying, driven not solely by on‑chain fundamentals but by the interconnected web of technology, labor markets, and policy responses that define the macro landscape.

In this evolving context, investors and builders alike should monitor the evolving AI policy narrative, corporate restructuring trends, and the practical rollout of AI‑driven financial tools within crypto ecosystems. The convergence of AI adoption, liquidity cycles, and central bank dynamics will play a decisive role in BTC’s direction in the near term, with the potential for both periods of outperformance and retracements depending on how policy and market sentiment respond to the AI shift.

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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AI Infrastructure Solutions for Enterprises by Antier Trusted AI Partner

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Enterprise Blockchain Development Cost, blockchain app cost, blockchain software pricing

✨ AI Summary

  • Discover how Artificial Intelligence has evolved from a niche experiment to a crucial asset for enterprise growth
  • Learn why successful AI deployment requires advanced infrastructure solutions and how AI-first enterprises integrate intelligence into every aspect of operations
  • Uncover the challenges traditional IT systems face with modern AI workloads and explore key pillars of enterprise-grade AI infrastructure
  • Dive into real-world use cases and understand the business impact of AI-ready infrastructure
  • Find out how strategic AI transformation roadmaps guide organizations towards full-scale AI integration, delivering measurable value and competitive advantage.

Artificial Intelligence has transitioned from a niche experiment to a strategic foundation for enterprise growth. Modern organizations rely on AI not just for automation or analytics, but to drive data-driven decision-making, predictive operations, and real-time insights. Yet, deploying AI successfully requires more than advanced algorithms; it demands enterprise-grade AI infrastructure solutions that support high-volume data processing, scalable compute workloads, and secure governance.

Many enterprises fail to achieve ROI because their IT systems cannot handle AI’s complexity. Structured AI infrastructure consulting services guide organizations in assessing readiness, designing scalable pipelines, and integrating AI into core workflows. Partnering with an experienced AI infrastructure development Company ensures transformation is sustainable, optimized, and aligned with business objectives.

What Does It Mean to Be an AI-First Enterprise?

An AI-first enterprise integrates intelligence into every layer of operations. Unlike organizations that adopt isolated AI tools, AI-first enterprises design infrastructure and workflows to maximize model performance, automation, and insight generation. Key characteristics include:

  • Enterprise-wide AI integration: From supply chains to finance, AI drives core decisions.
  • Real-time data orchestration: Automated pipelines ensure data is always accessible and accurate.
  • Scalable compute architecture: Dynamic resource allocation supports high-demand AI workloads.
  • Governance and compliance alignment: Secure and auditable AI deployment prevents regulatory and ethical risks.

Transitioning to AI-first requires investment in AI infrastructure solutions for enterprises and strategic guidance from AI infrastructure consulting services.

Why Traditional IT Struggles with Modern AI Workloads

Most legacy IT systems were built for routine business applications, not for the demands of AI. As organizations scale AI, these outdated systems reveal critical weaknesses that can hinder performance and ROI:

  • Compute Limitations: AI training and real-time inference require high-performance GPUs, TPU clusters, or distributed computing. Traditional CPU-only servers cannot handle these workloads efficiently, leading to slow processing and delayed insights.
  • Data Silos: Disconnected databases and unstructured data prevent AI models from learning effectively, resulting in inaccurate predictions and incomplete insights.
  • Scalability Challenges: AI workloads are unpredictable, with spikes in processing demand. Static infrastructure either fails to meet these peaks or results in wasted resources and higher costs.
  • Security & Compliance Risks: AI systems process sensitive information, requiring robust encryption, audit trails, and regulatory compliance. Legacy infrastructure often lacks these protections.
  • MLOps Gaps: Without proper model lifecycle management—including deployment, monitoring, and retraining—AI models degrade over time, producing unreliable results.

Addressing these challenges is why forward-thinking enterprises rely on AI infrastructure implementation partners to design scalable, secure, and high-performance AI environments.

Key Pillars of Enterprise-Grade AI Infrastructure

A robust AI infrastructure must integrate multiple layers, ensuring reliability, scalability, and governance:

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1. High-Performance Compute Architecture

  • Supports distributed AI training and inference workloads.
  • Utilizes hybrid cloud, on-prem GPU clusters, and edge computing for flexibility.
  • Enables cost-efficient scaling during peak demand.

2. Data Engineering & Governance

  • Automates real-time ingestion, cleansing, and transformation.
  • Establishes data lineage and auditability for regulatory compliance.
  • Supports diverse data sources, including structured, semi-structured, and unstructured datasets.

3. MLOps & Deployment Pipelines

  • CI/CD frameworks ensure continuous integration, testing, and deployment.
  • Versioning of models, pipelines, and datasets minimizes errors.
  • Monitoring tools detect drift, bias, and performance anomalies.

4. Security, Compliance & Responsible AI

  • Implements role-based access controls, encryption, and monitoring.
  • Aligns with GDPR, ISO, SOC, and industry-specific standards.
  • Introduces ethical AI frameworks to prevent bias or misuse.

5. Performance Optimization & Monitoring

  • Real-time dashboards track AI system efficiency.
  • Automated resource allocation optimizes costs and ensures uptime.
  • Continuous feedback loops enhance model accuracy and infrastructure efficiency.

Assessing AI Infrastructure Maturity

Organizations evolve along a structured maturity curve. Understanding your stage informs strategy:

  • Experimental: Pilot AI models with limited integration.
  • Operational: AI deployed, but with limited scalability and monitoring.
  • Scalable: Enterprise-wide pipelines, standardized MLOps, and reliable data infrastructure.
  • AI-First Autonomous: Fully orchestrated AI-driven operations with real-time insights, intelligent agents, and automated decision-making.

Mapping your maturity level is critical for building a successful AI transformation roadmap.

Building a Strategic AI Transformation Roadmap

Successfully becoming an AI-first enterprise requires more than technology adoption; it demands a structured roadmap that guides your organization from assessment to full-scale AI integration. A strategic AI transformation roadmap ensures every step is deliberate, measurable, and aligned with business objectives:

  • Infrastructure Audit & Gap Analysis: Assess your current systems, data pipelines, compute capacity, and governance processes to identify limitations and opportunities for AI readiness.
  • Architecture Blueprinting: Design AI-ready infrastructure, including scalable compute, secure storage, and robust networking layers, to support future growth and AI workloads.
  • Deployment & Integration: Implement high-performance AI pipelines, secure environments, and MLOps frameworks for seamless model development, testing, and production rollout.
  • Business Unit Integration: Embed AI into key operations—marketing, finance, supply chain, and customer engagement—so intelligence drives decisions across the enterprise.
  • Optimization & Governance: Continuously monitor performance, retrain models, and enforce ethical and regulatory compliance to ensure AI remains reliable, secure, and effective.

Partnering with experienced AI infrastructure consulting services and a trusted AI infrastructure development Company ensures each phase is executed efficiently, accelerating AI adoption while minimizing risk.

Real-World Enterprise Use Cases

Robust AI infrastructure unlocks tangible business outcomes:

  • Predictive Fraud Detection: Real-time anomaly detection across financial transactions.
  • Intelligent Supply Chains: Automated routing, demand forecasting, and inventory optimization.
  • Predictive Maintenance: AI-driven monitoring reduces downtime and operational costs.
  • Generative AI for Productivity: Copilots automate document generation, analysis, and reporting.
  • Customer Insights & Personalization: AI models provide real-time segmentation and recommendations.

These outcomes are only achievable with a scalable, secure, and compliant AI foundation.

The Business Impact of AI‑Ready Infrastructure

Investing in AI‑ready infrastructure delivers measurable value across operations, strategy, and competitive advantage much more than just speed or cost savings. Leading research from global analysts and industry reports highlights how modernizing technology foundations is critical to realizing the true potential of AI.

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1. Accelerated Enterprise AI Value

According to Gartner, AI has become a core part of business operations, and by 2030, AI is expected to touch all IT work, with AI‑augmented tasks and automation reshaping workflows across every department. Modern infrastructure enables enterprises to realize AI value faster and at scale rather than stalling after initial pilots.

2. Improved Decision Making and Operational Efficiency

IBM research notes that most enterprises are increasing IT investment to support AI – yet only a small percentage feel their current infrastructure fully meets business needs. Modern AI infrastructure empowers organizations with real‑time insights, faster model deployment, and automated workflows, improving efficiency and reducing manual errors.

3. Productivity & Competitive Impact

Deloitte’s State of AI in the Enterprise report shows that many organizations report tangible productivity and efficiency gains directly from their AI investments. The ability to deploy AI insights across operations, sales, and service functions drives measurable business benefits and supports future growth ambitions.

4. Strategic AI Infrastructure Drives Innovation

Microsoft’s massive ongoing investments in AI cloud and data center infrastructure highlight how foundational compute and platform readiness enable enterprises to innovate reliably from intelligent applications to automated analytics without overburdening internal IT teams.

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5. Platform Strength Enables Business Outcomes

Modern AI infrastructure not only accelerates deployment but also reduces risks related to governance, security, scaling, and performance. By enabling better data access, governance frameworks, hybrid architectures, and automation, enterprises can use AI as a strategic growth engine rather than a cost center.

6. AI Investment is Now Strategic

Industry reporting confirms that enterprises are rapidly increasing cloud, data center, and hybrid infrastructure spending to support intensive AI workloads from training to inference reflecting the essential role modern infrastructure plays in business transformation.

The AI-Readiness Imperative

The AI revolution is redefining enterprise competitiveness. Organizations that ignore infrastructure modernization risk wasted AI investments, operational instability, and compliance pitfalls. Becoming AI-first is not about adopting isolated tools; it requires an end-to-end transformation guided by AI infrastructure consulting services. Strategic design, secure deployment, and scalable pipelines form the backbone of success, enabled by a trusted AI infrastructure implementation partner.

By partnering with Antier – AI infrastructure solutions for enterprises, organizations can ensure AI initiatives are sustainable, high-performing, and ROI-driven, securing their position as market leaders in the AI-first era.

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Khamenei’s death raises questions about Trump’s China trip

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What's next after the joint military operation in Iran

A monitor plays footage of US President Donald Trump announcing US and Israeli strikes against Iran in the James Brady Press Briefing Room of the White House in Washington, DC, U.S., on Saturday, Feb. 28, 2026.

Bloomberg | Bloomberg | Getty Images

BEIJING — Uncertainty is growing over U.S. President Donald Trump‘s high-stakes trip to China after Washington targeted a second foreign leader in two months.

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Trump announced over the weekend that joint U.S.-Israel strikes on Iran killed its Supreme Leader Ayatollah Ali Khamenei. In early January, the U.S. also captured Venezuelan leader Nicolas Maduro and his wife from their residence.

Analysts say those actions could complicate Trump’s high-stakes trip to Beijing.

“President Xi Jinping won’t feel easy about the death of the top leader of Iran,” said George Chen, partner at The Asia Group, noting Beijing’s relatively good relations with Tehran and Caracas.

“How can Xi feel everything is normal and alright and be prepared to welcome Trump to visit in [a] happy mood?” he said. Chen added that “investors should manage their expectations on what Trump can achieve for his China trip — if he still goes.”

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Trump is scheduled to visit Beijing from March 31 to April 2, following a fragile trade truce with China reached in late October. It would mark the first trip by a sitting U.S. president since 2017.

But Beijing has yet to confirm the dates.

China’s Foreign Ministry on Sunday condemned Khamenei’s killing and called it “a grave violation of Iran’s sovereignty and security.” Beijing urged for an immediate ceasefire, although it was less direct about the U.S. role than it had been after Maduro’s capture.

“I worry the U.S. side might use Iran, if it’s going poorly, to delay the trip,” said a foreign business executive tracking meeting preparations very closely, who requested anonymity due to the sensitivity of the matter.

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“I think the risk [of the trip falling apart] is on the U.S. side more than the Chinese side,” the executive added.

What's next after the joint military operation in Iran

U.S.-based prediction markets signaled a greater likelihood of a delayed Trump trip.

As of late Monday morning, Polymarket showed a sharp drop in expectations that Trump would visit China by March 31, to 42%, from 83.9% on Feb. 21, while wagers on a visit by April 30 remained high at 81%.

Kalshi showed a slight drop in expectations that Trump would visit China by 2027, though it remained a high 91%.

While many analysts still expect the trip to proceed, it’s less clear how U.S. businesses will navigate plans for deals in the world’s second-largest economy.

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Several U.S. executives had been expected to accompany Trump on his Beijing trip, following a pattern of business delegations following leaders of different countries on their trips this year to China in a bid to strike deals.

“Prior to the attack on Iran, many American CEOs were already unwilling to go with Trump to China. Now the situation is even more tricky,” according to an active member of the American business community in China, who also requested anonymity due to the sensitivity of the matter.

The White House and China’s Foreign Ministry did not immediately respond to a CNBC request for comment.

The Chinese readout so far indicates an “unusually softer tone,” said Jack Lee, analyst at China Macro Group. He expects Trump to visit Beijing as planned, but is watching whether Washington signals restraint on arms sales to Taiwan.

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The democratically self-ruled island, claimed by Beijing, remains a central flashpoint in U.S-China relations.

Risks of prolonged conflict

Trump, meanwhile, told British newspaper the Daily Mail that U.S. strikes on Iran could last four weeks — a point that Chinese state media highlighted Monday morning. That timeframe would run into the planned March 31 start date for his trip to China.

“If the conflict escalates into a regional war beyond what the U.S. originally planned, it’s not impossible that Trump might delay the trip,” said Yue Su, principal economist at the Economist Intelligence Unit.

“Still, I expect Trump and [Xi] to have a phone conversation about this at some point,” she said. Her base case remains that Trump goes ahead with his China trip later this month.

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China this week kicks off an annual parliamentary meeting, where top diplomat Wang Yi typically speaks to the press. In mid-February, Wang told U.S. Secretary of State Marco Rubio on the sidelines of the Munich Security Conference that the U.S. and China should work to expand areas of cooperation.

In foreign policy, Beijing has prioritized its own interests by forging bilateral ties while encouraging multilateral engagement. Official statements around past U.S.-China meetings have noted the need to create “conditions” for developing bilateral relations.

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The U.S. actions in Iran have eroded trust between the two countries, said Dong Shaopeng, a senior researcher at Renmin University of China. While he still expects Trump and Xi to meet in a few weeks, he said he hopes the conflict does not spread to other countries in the Middle East.

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State-affiliated Chinese columnist “Niutanqing” on Monday described the Iran “war” as more intense than the conflict in Ukraine, drawing several lessons. Of the several lessons from the turn of events, the columnist said that Khamenei’s death revealed “traitors” can emerge from within, and that negotiations may conceal the true intentions of an adversary, according to a CNBC translation of the post in Chinese.

If the Trump-Xi meeting proceeds as planned, it could offer an opportunity for broader peace talks while addressing strained U.S.-China relations.

“The issues that they have to work out, China-U.S. trade, are pretty important, and the meeting has been scheduled to be in place for a long time, and so cancelling it would be pretty radical at this point,” said Gary Dvorchak, managing director at Blueshirt Group.

“I don’t think it would … help the situation to cancel the meeting for any reason.”

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Oil and gold pull backed from peaks while equity futures remain under pressure

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Bitcoin losing $70,000 is a warning sign for further downside

U.S. equities fell in pre-market trading after the U.S. and Israel entered into conflict with Iran over the weekend.

The Invesco QQQ exchange-traded fund (ETF), which tracks the Nasdaq 100 index, declined 1.5%, though early losses have started to moderate, suggesting that initial concerns may have been somewhat overstated.

A Saudi Arabia oil refinery was hit by Iran’s response, pushing WTI crude oil as high as $75 per barrel. It was recently trading below $72, though remains 8% higher over the past 24 hours.

Gold rallied more than 2% in the past day to $5,400 per ounce, putting it within reach of its all-time high near $5,600 as investors sought traditional haven assets. It also drew back following an initial surge.

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Bitcoin has held up, trading above $66,000 and gaining about 1% over the past 24 hours. This marks a modest divergence from its recent correlation with software stocks, as the iShares Expanded Tech-Software Sector ETF (IGV) is down around 1%.

Among crypto-related equities, Strategy (MSTR), the largest publicly traded corporate holder of bitcoin, is little changed. Crypto-exchange Bullish (BLSH), CoinDesk’s parent company, is down 4%, while AI-focused miners Cipher Digital (CIFR) and IREN (IREN) are both lower by about 3%. Crypto exchange Coinbase (COIN) is down 2%.

The conflict pushed the U.S. dollar index (DXY) higher to 98.2. At the same time, both the S&P 500 volatility index (VIX), and the U.S. bond market volatility index (MOVE), are up by more than 10%, reflecting elevated market uncertainty.

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Shanghai Stocks Hit 10-Year High While Hong Kong Crypto ETFs Sink

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Shanghai Stocks Hit 10-Year High While Hong Kong Crypto ETFs Sink

Shanghai’s benchmark index surged to its highest close in a decade on Monday, as Chinese investors piled into energy, gold, and defense stocks in the wake of the Iran conflict — further underscoring why Chinese capital continues to flow away from crypto markets.

The rally, combined with Beijing’s tightening grip on domestic liquidity ahead of this week’s National People’s Congress, narrows the already slim chances that Chinese capital will find its way into crypto anytime soon.

A Tale of Two Markets

The Shanghai Composite Index closed up 0.5% at 4,182.6 points on March 2, its highest since June 2015, even as most Asian markets buckled under geopolitical pressure. China’s blue-chip CSI300 gained 0.4%.

The rally was driven by a surge in energy and safe-haven plays. Shares of CNOOC, PetroChina, and Sinopec all climbed sharply after oil prices posted their biggest jump in four years. An index tracking Chinese gold stocks soared 7%, while defense names also advanced. Shipping stocks, including Nanjing Tanker and COSCO Shipping, hit their daily 10% limit up.

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Meanwhile, Hong Kong — the only regulated gateway for Chinese investors seeking crypto ETF exposure — told a different story. The Hang Seng Index dropped more than 2% to a two-month low, with tech, healthcare, and tourism among the hardest-hit sectors. Hong Kong-listed crypto ETFs fell across the board, with ChinaAMC Bitcoin ETF (3042.HK) down 2%, Bosera HashKey Bitcoin ETF (3008.HK) off 2.3%, and Harvest Bitcoin Spot ETF (3439.HK) losing 2.4%. Ether ETFs also declined.

Why This Matters for Crypto

The divergence between Shanghai and Hong Kong highlights a structural problem for crypto adoption among Chinese capital pools.

Mainland Chinese investors remain barred from directly accessing Hong Kong’s spot Bitcoin and Ethereum ETFs. Potential pathways — including the QDII program and the Cross-boundary Wealth Management Connect scheme in the Greater Bay Area — have been discussed by industry figures and legal experts, but none have materialized into concrete policy action. A January 2025 expansion of the GBA wealth connect scheme raised hopes, but stopped short of explicitly including crypto products.

With Shanghai equities rallying — buoyed by expectations of policy support ahead of the National People’s Congress, which opens March 5 — there is even less incentive for Chinese capital to seek alternative assets like crypto.

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Beijing has a long track record of propping up onshore markets during external crises. Hong Kong, open to global capital flows, typically absorbs the blow. Monday was a textbook example. The same geopolitical shock that lifted Shanghai’s energy and defense names sent the Hang Seng into retreat. Crypto ETFs went down with it. If the conflict escalates further, gold is likely to remain the preferred safe haven for Chinese investors, while Bitcoin faces additional downside pressure.

The NPC Factor

Beijing’s annual parliamentary meeting this week adds another layer to the equation. The NPC is expected to set a 2026 GDP growth target of 4.5%–5% and outline the 15th Five-Year Plan, with emphasis on domestic demand, tech self-reliance, and consumption stimulus.

This policy backdrop reinforces the narrative that Beijing wants capital to circulate within its own financial ecosystem — in A-shares, government bonds, and state-directed investment vehicles — rather than flow offshore into volatile assets.

Historically, geopolitical shocks have had a limited shelf life on Chinese A-shares. Beijing’s policy toolkit — from state fund purchases to trading curbs — is designed to insulate onshore markets from external volatility, and the pre-NPC window only strengthens that impulse.

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For crypto, those fundamentals point in the wrong direction. The onshore equity market is performing, policy support is coming, and Beijing’s capital controls remain firmly in place.

Bitcoin Caught in the Crossfire

Bitcoin itself has struggled to act as a safe haven during the Iran conflict. After dropping to $63,000 on Saturday following the US-Israel strikes, BTC briefly recovered above $68,000 on reports of Supreme Leader Khamenei’s death before settling around $66,000 — roughly where it traded before the strikes began.

Global crypto fund outflows have now extended to five consecutive weeks, with cumulative withdrawals reaching $4 billion, according to CoinShares data. The most recent week alone saw $288 million in redemptions, while trading volumes fell to $17 billion, the lowest since July 2025. Bitcoin is down 23% year-to-date and has fallen roughly 48% from its all-time high of $126,000 set in October 2025.

With Chinese equities absorbing domestic liquidity, Hong Kong markets under pressure, and crypto acting more like a risk asset than digital gold, the prospect of meaningful Chinese capital inflows into crypto appears increasingly remote — at least for now.

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Geopolitical Shock: Gold Price Storms $5,400 After Attack on Iran

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Geopolitical Shock: Gold Price Storms $5,400 After Attack on Iran

The reason is clear: confirmed US and Israeli strikes on targets in Iran, including reports of the death of Supreme Leader Ali Khamenei, have triggered renewed demand for safe-haven assets, pushing gold prices higher.

As of Monday morning, news of further escalation continues to emerge, while the price per ounce has climbed above the $5,400 level — for the first time since late January. Analysts (including J.P. Morgan and Bank of America) are already revising their targets. In their view, if the price consolidates above $5,400, this could point to a move towards $6,000 by the end of 2026.

Technical Analysis of the XAU/USD Chart

On 23 February, when analysing gold price movements, we confirmed that the long-term ascending channel remained in force and suggested that:

→ bulls would attempt to reach the median of the channel;
→ if gold were to pull back, the $5,100 level would act as support.

Indeed, both assumptions materialised. As indicated by the arrows:

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→ on 24 February, the price rebounded from the stated support level;
→ this morning, the price reached the median. At the first test, bears showed aggression, but extraordinary geopolitical risks pushed the quotation into the upper half of the channel.

It is worth noting that the price has left behind:

→ the psychological $5,300 mark;
→ the $5,250 level, which acted as resistance in February (and may now be expected to provide support).

At the same time, nearby resistance is formed by a local ascending channel (shown in purple), constructed using February’s price extremes on the XAU/USD chart.

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It cannot be ruled out that, following the shocking news over the weekend, market emotions may subside, leading to a pullback in gold prices. In that case, support may emerge in the $5,250–5,300 area, where the lower boundary of the purple uptrend line is located.

Start trading commodity CFDs with tight spreads (additional fees may apply). Open your trading account now or learn more about trading commodity CFDs with FXOpen.

This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.

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Xiaomi Faces Memory Chip Crisis as Prices Jump 90% in 2026

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Nexo Partners with Bakkt for US Crypto Exchange and Yield Programs

Key Takeaways

  • At Mobile World Congress, Xiaomi unveiled the Xiaomi 17 and 17 Ultra with global pricing set at 999 euros and 1,499 euros
  • First-quarter 2026 has seen memory chip costs skyrocket 80–90%, fueled by AI data center demand siphoning supply from mobile devices
  • Market research firm IDC projects a 12.9% contraction in worldwide smartphone shipments for 2026 amid the component shortage
  • Unlike Apple and Samsung, Xiaomi lacks sufficient premium market share to cushion the impact of escalating component costs
  • Electric vehicle revenue jumped nearly 200% year-over-year in Xiaomi’s latest quarterly report, partially compensating for a 3% smartphone revenue decline

Xiaomi revealed its flagship Xiaomi 17 series to the international market this past Saturday during Mobile World Congress in Barcelona.

Pricing for the standard Xiaomi 17 begins at 999 euros ($1,179), while the premium 17 Ultra commands 1,499 euros. These price points match the previous generation exactly.

This decision to maintain pricing stability comes during turbulent market conditions. Data from Counterpoint Research indicates memory chip prices have climbed 80–90% during the first three months of 2026.

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The dramatic price acceleration stems from constrained memory availability, as manufacturing capacity shifts toward AI-focused data centers. Mobile phone manufacturers are losing the bidding war for limited chip supplies.

Memory components represent among the costliest parts in contemporary smartphones. Industry analysts at Gartner anticipate smartphone retail prices could climb 13% industry-wide throughout 2026 as manufacturers pass costs to consumers.

IDC projects an even grimmer outlook, estimating global smartphone unit sales will contract by 12.9% this year as the component shortage ripples through the supply chain.

Xiaomi maintained stable flagship pricing, yet industry experts caution the company faces heightened vulnerability compared to market leaders. Apple and Samsung possess established premium customer bases capable of absorbing price increases. Xiaomi lacks this same cushion.

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“This year will be even worse because Xiaomi does not have a very strong premium share which means that they cannot rely on the premium segment to offset low margins in other devices like Apple and Samsung can,” said Francisco Jeronimo, VP of data and analytics at IDC.

Xiaomi’s smartphone shipment volume predominantly consists of mid-tier products — precisely the segment analysts identify as most vulnerable if retail prices must increase.

Ben Wood, chief analyst at CCS Insight, indicated Xiaomi will probably need to implement price adjustments on budget and mid-range models eventually. The critical uncertainty is how long they can postpone such moves without eroding profit margins.

Electric Vehicle Division Provides Financial Cushion

Xiaomi’s automotive division has emerged as an increasingly vital revenue stabilizer. During the most recently reported quarter — the three months ending September 2025 — EV revenue exploded nearly 200% compared to the prior year.

During that identical period, smartphone sales declined 3% on a year-over-year basis. The electric vehicle segment now represents approximately one-quarter of consolidated company revenue.

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Elliptic Labs Secures Additional Xiaomi Device Wins

In related developments, Norwegian artificial intelligence firm Elliptic Labs disclosed that its AI Virtual Smart Sensor Platform was integrated into five new Xiaomi and Transsion models launched during February 2026.

The software solution eliminates the need for physical proximity sensors, reducing bill-of-materials costs and enhancing power consumption efficiency. Elliptic Labs’ technology currently operates across over 500 million devices globally.

Despite these product integration successes, Elliptic Labs shares (EIP) have declined 45.51% year-to-date, with current market capitalization standing at NOK 389.6 million.

Xiaomi executives cautioned in November 2025 that the smartphone sector would likely face pricing pressure throughout 2026, a forecast that is now materializing in real time.

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Why Do Big Entities’ Payroll Demands Account Abstraction Crypto Wallets?

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Is Your Enterprise Equipped to Harness AI at Scale

AI Summary

  • In 2024 and 2025, the adoption of crypto payroll and stablecoin payouts by enterprises increased significantly, driven by the need for faster settlements, lower costs, and enhanced transparency
  • Account abstraction wallets emerged as a solution, enabling companies to pay employees in stablecoins without requiring them to hold native chain gas
  • These wallets automate multi-party approvals, batch-settle payroll events, and provide traceable on-chain tax and payroll records
  • The blog post outlines the challenges faced by large entities in existing payroll systems and explains how account abstraction wallets streamline payroll processes by offering gas abstraction, smart policy-driven wallets, batch operations, native support for stablecoins, and improved auditability
  • The post also details an enterprise-grade implementation pattern for account abstraction wallets and highlights the importance of compliance, legal, and regulatory support when developing such wallets

Efficiency without control is chaos. Control without efficiency is waste.” 

In 2024 and 2025, enterprise adoption of crypto payroll and stablecoin payouts accelerated sharply as treasury teams and global HR leaders sought faster settlement, lower cross-border costs, and better financial transparency. According to recent industry research, the share of professionals receiving any portion of their salary in digital assets rose materially, with stablecoins increasingly dominating employer-led payouts. This shift is not a fringe curiosity. It is a structural market signal: entities that want global, low-friction payroll must rethink crypto wallet architecture, gas mechanics, and compliance. Account abstraction wallets solve multiple technical and operational pain points by bringing programmable logic, sponsored gas, multi-sig governance, and token-denominated fee models into payroll flows. For serious investors evaluating infrastructure plays and enterprise SaaS for payroll modernization, understanding account abstraction is now table stakes.

Executive Summary

Account abstraction (AA) takes smart contract wallet patterns into production-friendly form, enabling payroll systems to: pay employees in stablecoins or tokens without users holding native chain gas, automate multi-party approvals, batch-settle payroll events, and provide traceable on-chain tax and payroll records. These capabilities open new revenue and product pathways for payroll orchestration platforms, treasury management systems, and white label wallet development companies. The rest of this article explains the technical mechanics, maps AA to payroll use cases, lists enterprise pain points solved by AA, outlines a practical implementation pattern, and describes a full-service AA wallet offering you can confidently invest in.

Challenges Big Entities Face In Existing Payroll Systems

Here are the persistent operational and technical problems large employers face today that AA smart crypto wallets can meaningfully resolve:

1. Cross-border settlement friction, currency conversion delays, and high remittance fees.

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2. The need for multiple approvals and role-based controls across treasury, payroll and legal teams.

3. Employees must hold native chain tokens to pay gas, creating onboarding friction and compliance gaps.

4. Poor auditability for on-chain payroll records and reconciliation against fiat ledgers.

5. Fragmented payroll rails across chains and token standards, increasing integration complexity.

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6. Vendor and contractor payouts that require atomic multi-payments and batch settlement.

7. Difficulty enforcing corporate policies like minimum fiat thresholds or mandated vesting.

8. Legal and tax reporting complexity when payroll touches dozens of jurisdictions.

How Does Account Abstraction Crypto Wallets Make Payroll Easier?

Account abstraction transforms the wallet from a passive keypair to an active, programmable account that enforces policy, pays fees flexibly, and supports advanced onboarding. Practically, this yields:

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  • Gas abstraction and paymaster sponsorship. Companies can sponsor transaction execution fees or accept fees in an ERC-20 stablecoin so employees do not need native chain tokens. This removes a major operational blocker for mass payroll adoption.
  • Smart, policy-driven wallets. Employer policies such as vesting schedules, spending limits, whitelists, multi-approvals, and emergency recovery can be enforced at the account level rather than relying on off-chain governance.
  • Batch operations and gas-efficient settlement. Payroll events can be bundled and executed via batching or meta-transactions to reduce per-transaction overhead and improve throughput.
  • Native support for stablecoins and tokenized payroll. Wallets can accept, custody, and disburse payroll in institutional stablecoins, simplifying treasury operations and reducing FX risk. Recent market data shows stablecoins, particularly USDC, are dominant in crypto payroll use cases.
  • Better audit logs and traceability. Every payroll transaction can include metadata, on-chain receipts, and signatures that feed reconciliations and tax reporting workflows.
Deploy Secure & Compliant AA Crypto Wallets at Enterprise Scale

How Does an Account Abstraction Wallet Work For Payroll Management?

An account abstraction payroll wallet is a smart contract-based account that replaces the traditional externally owned account. The employer provisions a wallet template for each employee or contractor and deploys or sponsors the wallet via a factory pattern. Payroll runs trigger a sequence: the payroll engine batches net-pay calculations, converts fiat to the chosen stablecoin using liquidity rails if necessary, and submits signed meta-transactions to a bundler or relayer. A paymaster contract verifies policy conditions and sponsors the gas or accepts payment in stablecoins. The wallet enforces company policies such as vesting, tax withholdings, and multi-sig approval before releasing funds to the employee’s wallet or custodial off-ramp. All events emit standardized on-chain records that integrate with accounting systems via event listeners and indexed logs. This flow removes the need for employees to hold native gas tokens, automates compliance controls, and enables atomic, auditable settlement across jurisdictions.

Enterprise-Grade Implementation Pattern

1. Wallet template and factory: Deploy a modular smart wallet factory supporting plug-in modules: multi-sig, recovery, timelock, vesting, and payroll hooks.

2. User onboarding and identity layers: Integrate enterprise KYC and identity proofs for employees. Tie corporate roles to on-chain permissions.

3. Paymaster and gas rules: Implement a paymaster strategy: sponsor gas for onboarding, accept payment-in-token for execution, and set sponsor policies for whitelisted payroll operations.

4. Bundler and relayer network: Use bundlers/relayers to aggregate UserOperations and submit to the EntryPoint layer, optimizing gas and batching payroll transactions.

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5. Treasury connectors: Integrate with custody providers, stablecoin rails, and FX providers for seamless fiat-to-crypto conversion and vice versa.

6. Reconciliation and reporting: Build event-driven listeners that mirror on-chain transactions into ERP and payroll ledgers with tax withholding and country-specific metadata.

7. Legal and compliance hooks: Add on-chain proof artifacts to satisfy audit requests and enable automated tax reporting pipelines.

Antier’s AA Crypto Wallet Development Offerings

Being one of the leading blockchain wallet development companies, our team develops end-to-end, compliance-first AA wallet solutions designed for large enterprises. Our offering includes:

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  • Requirements and architecture consulting for treasury and payroll teams.
  • White-label cryptocurrency wallet app development, including factory deployment and modular plugin architecture.
  • Paymaster design and implementation to enable gas sponsorship and token-denominated fee mechanics.
  • Multi-chain connectors and token bridges to support stablecoins across EVM-compatible and non-EVM rails.
  • Custody and custody-integration services, including hot wallet policies and secure key management.
  • On-chain payroll orchestration modules for batching, scheduling, automated vesting, and tax withholding.
  • Compliance automation: on-chain receipts, audit trails, and reporting connectors for ERP and payroll software.
  • Role-based access control, hardware HSM integration, and enterprise-grade multi-sig governance.
  • Performance engineering and gas optimization for enterprise-scale payout volumes.
  • Security audits, formal verification where needed, and third-party pen testing.
  • Managed relayer and bundler services or turnkey integration with vendor networks.
  • Post-launch managed services and SLAs for 24/7 support, monitoring, and upgradeability.

For an enterprise investor, this package reduces technical risk and shortens time to market while capturing recurring revenue from SaaS, managed services, and compliance tooling.

AA Crypto Wallet Development: Compliance, Legal, and Regulatory Support

Global payroll touches many regulatory domains. It is important for a visionary investor or enterprise that is planning for account abstraction-based cryptocurrency wallet development that they hire a certified and skilled team of experts who are adept at providing an integrated legal and compliance stack that supports launches across jurisdictions.

  • Jurisdictional analysis for wage law, payroll regulations, and allowable crypto compensation structures. We map per-country constraints such as mandatory fiat wage components and minimum wage rules.
  • KYC and AML integrations at the employer, payroll processor, and beneficiary levels to satisfy local financial regulations.
  • Tax reporting templates and workflows that capture on-chain metadata suitable for local tax authorities and auditors.
  • Licensing and counsel coordination. If a jurisdiction requires a payment license, crypto license, or trust entity, we coordinate with local counsel and white-label partners to secure compliant pathways.
  • Stablecoin and reserve risk advisory to ensure employers use institutional-grade, regulated stablecoins for payroll. Recent regulatory momentum and institutional issuance have strengthened USDC’s role in payroll rails.

Make sure that you partner with an experienced company that engages regional legal partners to deliver country-specific playbooks and operational checklists, reducing regulatory friction for enterprise deployments.

Current Market Trends

Enterprise payroll providers and fintech payroll players are actively building crypto rails or integrating stablecoin payouts. Various providers demonstrate mature product-market fit, processing large volumes and integrating with payroll systems. Meanwhile, market research shows the number of professionals receiving crypto pay rose materially, and stablecoins lead employer-denominated payouts. These trends indicate a growing TAM for AA-enabled payroll tooling, especially for global workforces and distributed organizations. 

Hire The Industry Leading Crypto Wallet Experts!

Account abstraction wallets are the natural evolution of wallet architecture for enterprise payroll. They remove the classical barriers that limited large-scale payroll innovation: native gas requirements, limited policy enforcement, and poor auditability. For serious investors seeking exposure to enterprise-grade Web3 infrastructure, AA crypto wallet solutions present a practical, near-term commercialization vector.
Connect with the vast blockchain team of Antier to share your thoughts and project planning. We build these solutions end to end: from wallet templates and paymasters to custody and country-level legal playbooks. Our Web3 crypto wallet development, security, and legal teams guide you through architecture choices, compliance checkpoints, and managed deployment, ensuring you capture the market opportunity while minimizing operational and regulatory risk. If you are evaluating infrastructure investments that help enterprises modernize treasury and payroll, account abstraction is no longer experimental; it is a core strategic capability.

For a technical deep-dive, deployment timeline, or a tailored investor pack with market sizing and revenue models, we can help you with our demo.

Connect today!

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Frequently Asked Questions

01. What is account abstraction (AA) in the context of payroll systems?

Account abstraction (AA) is a technology that transforms smart contract wallet patterns into a production-friendly format, enabling payroll systems to automate processes like paying employees in stablecoins, managing multi-party approvals, and providing traceable on-chain records without requiring users to hold native chain gas.

02. Why are enterprises increasingly adopting crypto payroll and stablecoin payouts?

Enterprises are adopting crypto payroll and stablecoin payouts to achieve faster settlement times, lower cross-border costs, and enhanced financial transparency, addressing the need for efficient global payroll solutions.

03. What challenges do large employers face with existing payroll systems that account abstraction can resolve?

Large employers face challenges such as cross-border settlement friction, the need for multiple approvals, onboarding friction due to gas fees, poor auditability of payroll records, and fragmented payroll rails across different chains, all of which can be effectively addressed by account abstraction.

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Bitcoin price drops below $66k as Iran conflict escalates: Here’s what to expect

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  • Bitcoin drops below $66K as Middle East tensions spark volatility.
  • $6.39 billion ETF outflows show weakening institutional crypto demand.
  • BTC swings between $63K–$65K; traders watch support and rate policy.

Bitcoin (BTC) has slipped below the $66,000 mark as global markets react to escalating tensions in the Middle East.

The rising conflict between Iran, the US, and Israel has prompted a wave of uncertainty that is affecting risk assets, including cryptocurrencies.

Bitcoin, in particular, is showing sharp intraday swings in response to news developments.

Early trading saw BTC fall as low as $63,000 before it recovered to above $65,000.

This volatility reflects a mix of geopolitical fear and active liquidations in the derivatives market, with more than $130 million in long positions being forced to close and amplifying the downward pressure on the cryptocurrency.

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The US, Israel, Iran war has sent shockwaves across markets

The current situation in the Middle East has made investors jittery.

Traditionally, Bitcoin has sometimes been viewed as a hedge during global crises, but recent behaviour shows it acting more like a risk asset.

Notably, Bitcoin’s price has been moving in close correlation with equities, particularly major stock indices, rather than holding steady in turbulent times.

Gold and oil, however, have seen upward movements, with oil prices surging amid anticipation of supply disruptions.

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The price of Gold has also climbed modestly, reflecting its traditional safe-haven status.

These shifts indicate that money is flowing away from riskier assets like Bitcoin and toward instruments perceived as more stable during geopolitical stress.

Long-term BTC holders, however, are showing resilience.

After the initial sell-off, many investors took the opportunity to buy at lower levels, which contributed to a partial recovery.

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This has prevented Bitcoin from falling as sharply as some other risk assets, demonstrating that there is still significant support at levels around $65,000.

Institutional demand weakens

US-listed spot bitcoin and ether exchange-traded funds have recorded sustained outflows over the past four months, pointing to a sharp cooling in institutional participation in digital assets.

Investors withdrew $6.39 billion from bitcoin ETFs during the period, the longest continuous monthly decline since the products launched in January 2024, according to SoSoValue data.

Ether ETFs also saw $2.76 billion in outflows.

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The retreat coincided with a steep fall in token prices, with bitcoin dropping from above $126,000 in early October, while ether has fallen more than 60% from its August highs near $4,950.

Spot ETFs had previously served as a visible channel for institutional inflows after their debut and following pro-crypto political developments in 2024.

However, demand weakened after the October market downturn, reportedly linked to pricing inefficiencies on offshore exchange Binance.

Although recent sessions have seen intermittent inflows, analysts say a consistent return of capital is required for a durable recovery.

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What this means for Bitcoin going forward

Traders should expect more volatility in the short term since Bitcoin is sensitive to headlines, and any further escalation in the Middle East could trigger additional sharp movements.

Traders should keep a close eye on the technical support level near $63,000, while resistance around $68,000 to $70,000 remains a key target for recovery.

Also, besides the Middle East war, monetary policy may also play a role in the next BTC price movements.

If central banks respond to the conflict with interest rate adjustments or liquidity measures, Bitcoin could benefit indirectly.

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Historical trends suggest that geopolitical crises followed by rate cuts or monetary easing often support risk assets, and cryptocurrencies could be no exception.

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European Banks Secure Exchange Partners for 2026 Stablecoin Rollout

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Crypto Breaking News

Qivalis, a consortium of Europe’s major banks, is accelerating plans to distribute a euro-pegged stablecoin, with discussions focusing on partnerships with crypto exchanges and liquidity providers. The report from Cinco Días on Monday outlines a path toward a 2026 launch, placing the project on track not only to issue the token but to facilitate its adoption across regulated platforms. The coalition, which includes ING and UniCredit and recently added BBVA, first signaled its ambitions in September 2025 when nine banks publicly joined the effort. The euro-stablecoin aims to serve as a regulated, domestic alternative to US dollar-denominated stablecoins and could reshape cross-border payments for European businesses.

Key takeaways

  • Qivalis is targeting a euro-pegged stablecoin with a potential launch in the second half of 2026.
  • Participating banks include ING, UniCredit, CaixaBank, Danske Bank, Raiffeisen Bank International, KBC, SEB, DekaBank, Banca Sella, with BBVA joining as the 12th member.
  • Distribution negotiations are underway with crypto exchanges, market makers, and liquidity providers; the banks themselves will also distribute the token.
  • Regulatory alignment emphasizes compliance with the European Union’s Markets in Crypto-Assets Regulation (MiCA).
  • Reserve design features a 1:1 backing, with at least 40% in bank deposits and the remainder in high-quality short-term euro-area sovereign bonds, plus 24/7 redemption for holders.

Market context: The initiative sits at the intersection of Europe’s push for regulated crypto assets and the broader search for stable on-chain rails that can support real-time, cross-border business activities. If realized, the euro-stablecoin could become a cornerstone within a growing European digital-finance infrastructure, complementing MiCA-driven licensing and oversight trends across the bloc.

Why it matters

The Qivalis initiative represents a collective effort by large European banks to reclaim a level of influence over digital settlement rails that have increasingly been shaped by non-bank actors. A euro-denominated stablecoin, designed to be fully regulated and domestically accessible, could provide a trusted on-ramp for corporate treasuries seeking faster settlement and reduced FX friction in cross-border trade. By pursuing partnerships with exchanges and liquidity providers, the consortium signals its intent to integrate the token into existing digital-asset ecosystems rather than building a closed system.

From a regulatory standpoint, the project underscores the EU’s approach to crypto by prioritizing formal oversight and consumer protections. The plan aligns with MiCA’s framework for stablecoins and asset-backed tokens, which is intended to bring transparency to reserves, redemption rights, and governance. For participants, the 1:1 reserve standard—with a minimum of 40% in bank deposits and the remainder in high-quality short-term government bonds—offers a familiar risk profile that may ease integration into corporate treasury policies and accounting practices. The stated goal of 24/7 redemption further underscores a practical mandate for liquidity and accessibility in day-to-day transactions.

Industry observers also note the significance of cross-border settlement capabilities. Real-time, B2B payments and global trade could benefit from a euro-stablecoin that is designed to operate within a regulated EU framework, potentially reducing settlement risk and enabling more predictable cash flows for European exporters and importers. The involvement of institutions with established KYC/AML practices could help mitigate concerns about illicit finance and market integrity as the asset ecosystem grows around the euro-stablecoin concept.

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While the focus remains on European institutions, Qivalis’ openness to European and international platform partnerships suggests a wider ambition. The project’s leadership, including Jan Sell, who previously led Coinbase’s operations in Germany, emphasizes a strategy that balances regulatory compliance with broader accessibility. The collaboration aims to ensure the token is usable within a global network of compliant platforms, while preserving the benefits of a domestic, euro-backed settlement asset. The broader crypto-reading community will watch whether these distribution talks translate into formal partnerships, liquidity commitments, and a clear timetable for reserves and redemption mechanics.

In a related development, the ongoing dialogue around stablecoins in Europe continues to unfold alongside initiatives from other European players. The momentum around regulated digital assets—coupled with the MiCA regime—appears to be shaping a landscape where traditional banks can recover a central role in the settlement layer while still engaging with crypto-native ecosystems. As the market digests these developments, the question for investors and corporates becomes whether pilots and pilot-scale rollouts will translate into scalable, compliance-driven usage in the real economy.

What to watch next

  • Public distribution agreements with major crypto exchanges and liquidity providers, as reported, and any announced partnerships in the coming months.
  • Regulatory milestones tied to MiCA compliance for participating banks and the euro-stablecoin’s reserve framework.
  • Official disclosures on the reserve composition, including the location and liquidity of assets backing the 1:1 stablecoin.
  • 正式 confirmation of the 2026 launch timetable and any interim testnets or pilot programs with partner platforms.
  • Further confirmations of BBVA’s role as the 12th member and the expansion of the consortium’s geographic footprint within and beyond Europe.

Sources & verification

  • Cinco Días report on talks with exchanges and the planned 2026 euro-stablecoin launch, including the involvement of ING, UniCredit, and BBVA.
  • Initial consortium announcement in September 2025 detailing the nine-bank lineup; subsequent confirmation of BBVA’s addition.
  • Markets in Crypto-Assets Regulation (MiCA) regulatory framework cited as a guiding principle for the project.
  • Public statement from Jan Sell detailing the proposal to work with European and international platforms and the focus on cross-border real-time payments.
  • AllUnity’s Swiss franc stablecoin CHFAU coverage as a related example of regulated, bank-backed stablecoins in Europe.

Qivalis euro-stablecoin plan advances toward distribution in 2026

Qivalis, a consortium of prominent European banks, is moving beyond high-level promises toward concrete distribution plans for a euro-pegged stablecoin. Cinco Días reports that the group is nearing formal partnerships with crypto exchanges, market makers, and liquidity providers, a development that would enable the token to circulate across regulated platforms while ensuring that the stablecoin remains fully backed and freely redeemable. The group’s boardroom dynamic has evolved since the initial launch of the project in September 2025, when nine banks, including ING, UniCredit, CaixaBank, Danske Bank, Raiffeisen Bank International, KBC, SEB, DekaBank, and Banca Sella, signaled a cross-border effort to reimagine euro-denominated digital settlement.

With BBVA recently joining as the 12th member, the coalition has intensified talks about how to distribute the euro-stablecoin both within the bloc and internationally. Jan Sell, the Qivalis chief executive and former Coinbase executive in Germany, stressed that the design prioritizes a regulated, domestic alternative to USD-based stablecoins. He noted the project’s ambition to embrace partners that meet European Union regulatory standards, aligning with MiCA and the broader push for safer, regulated crypto activity. The strategy envisions a two-pronged approach: direct distribution by the consortium’s banks and enablement through established crypto infrastructures via partner platforms.

The operational framework presented by Qivalis emphasizes 1:1 reserve backing for the euro-stablecoin, with a minimum of 40% held as bank deposits. The remainder would be allocated to high-quality, short-term sovereign bonds across various euro-area countries, ensuring diversification and liquidity. Moreover, the token would support 24/7 redemption, enabling holders to convert stablecoins back into euros at any time, a feature designed to maintain liquidity in line with demand. These reserve characteristics are intended to address both trust and practicality in a market that remains vigilant about reserve quality and redemption risk.

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Strategically, the project looks to collaborate with both European and international platforms, signaling an ambition to create a broad, interoperable network for euro-denominated digital payments. The initiative’s trajectory suggests that the consortium intends to position the euro-stablecoin as a cornerstone for real-time cross-border settlement, potentially enabling enterprises to streamline payments in multilateral trade without sacrificing regulatory compliance. While Bit2Me is cited as a MiCA-licensed exchange that has engaged in discussions with the consortium’s banks, the precise list of partners and the timeline for on-ramps remains to be finalized, pending regulatory clarity and due diligence processes.

In context, the euro-stablecoin project occurs within a broader European push to integrate digital assets into conventional financial infrastructure while preserving strict regulatory oversight. The alliance between traditional lenders and crypto-market participants could help bridge gaps between the fiat and digital realms, especially for businesses that operate across borders and rely on timelier settlement. If successful, the euro-stablecoin could become a resilient alternative to existing USD-pegged tokens, offering a euro-centric liquidity strand that aligns with Europe’s financial sovereignty goals and its ongoing digitalization drive.

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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Hyperliquid (HYPE) Price Predictions for this Week

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hype_price_chart_0203261


A closer look at a few important price levels to watch for HYPE in the coming days.

HYPE just made a higher low. Is the downtrend over?

Hyperliquid (HYPE) Price Predictions: Analysis

Key support levels: $26
Key resistance levels: $36

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Buyers Return

After the price found support at $26, buyers returned and pushed HYPE above $30. If they can hold here, the price has a good chance of testing the $36 resistance next.

hype_price_chart_0203261
Source: TradingView

Momentum is Turning Bullish

A look at the momentum indicators, such as the MACD or RSI, shows that bulls are taking control of the price action. The 3-day MACD is bullish, with a positive histogram, and the RSI has moved above 50. If nothing changes, HYPE has a good chance to move higher from here.

hype_price_chart_0203262
Source: TradingView

Buy Volume Picks Up

In the past week, the daily buy volume has been increasing, which shows a clear change in the trend. This shows sustained buy pressure which can propel HYPE higher. A first test of this uptrend will be the resistance at $36.

hype_volume_chart_0203261
Source: TradingView

 

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