Visa-Issued Crypto Card Spending Soars 525% in 2025, Led by EtherFi

TheNewsCryptoОпубликовано 2026-01-05Обновлено 2026-01-05

Введение

In 2025, spending via Visa-issued crypto cards surged by 525%, growing from $14.6 million in January to $91.3 million in December, according to Dune Analytics. This growth signals a shift from crypto as purely an investment to a medium for everyday transactions. EtherFi led this expansion, processing $55.4 million—over 60% of all Visa crypto card payments—followed by Cypher with $20.5 million. These cards function like traditional debit cards but are linked to crypto wallets, allowing users to spend the value of staked or locked cryptocurrencies like ETH at regular merchants. Key drivers include clearer regulations, improved user experience, economic uncertainty, and Visa’s trusted payment network. Stablecoin transaction volume also exceeded $2.5 trillion, dominated by USDT and USDC. The trend underscores crypto’s growing use in travel, online shopping, and cross-border payments, accelerating its path toward mass adoption.

The people around the World are using the Visa-issued Crypto cards for payments, and this has massively increased in 2025, showing a 525% jump, according to Dune Analytics, which is quietly turning Crypto from an investment to everyday usage.

According to the Dune Analytics Data in 2025, People spending through Visa Crypto cards grew from $14.6 million in January to $91.3 million in transactions in December. This made a huge impact and rise in the real-world crypto payments. People have started buying things with crypto more often and using the Crypto cards like normal debit cards.

Visa’s Backing Fuels EtherFi’s Rise in Crypto Card Payments

The Visa Issued Cards look and work like the Normal Visa Debit cards, which are linked to the Crypto wallets. The users can spend Crypto at the regular stores. Visa is heavily investing in Stablecoins and expanding its partnerships with cryptocurrency. It supports cryptos, keeping Visa at the center of global payments, while the Blockchain technology makes those payments faster, cheaper, and more scalable.

These cards are offered by the Crypto projects and platforms like GnosisPay, Cypher, and Avici Money, but Etherfi was leading the list. The EtherFi Crypto card handled $55.4 million in spending, which is over 60% of all Visa Crypto Card payments. Cypher is followed by $20.5 million. These EtherFi cards make the users spend the value of staked ETH by turning the Locked Crypto into usable money.

These Crypto Cards usages are growing fast due to clear Regulations, Better user experience, Economic Uncertainty, and Visa’s Trusted Payment networks. These together make the Crypto cards easy and safe to use for people around the World. The stablecoin usage is also exploding, and Total Stablecoin Transaction volume crossed $2.5 trillion, where USDT and USDC dominate the usage. Smaller stablecoins are also growing fast, especially for the regional and specialized Use cases.

This shows that the Crypto is no longer speculative; it is being used for travel, online shopping, cross-border payments, etc. So linking these cryptos with the Visa cards may be a faster path to mass adoption. The banks must speed up the Crypto adoption, and the Customer clearly wants Crypto linked payments Options.

Highlighted Crypto News:

Onyxcoin (XCN) Jumps 22%: Can It Keep Flying, or Will Profit-Taking Strike?

Связанные с этим вопросы

QWhat was the percentage increase in Visa-issued crypto card spending in 2025 according to Dune Analytics?

A525%

QWhich company led the Visa-issued crypto card payments in 2025 and how much spending did it handle?

AEtherFi led the Visa-issued crypto card payments, handling $55.4 million in spending.

QWhat are some key factors driving the rapid growth of crypto card usage mentioned in the article?

AClear regulations, better user experience, economic uncertainty, and Visa's trusted payment networks are driving the growth of crypto card usage.

QHow do Visa-issued crypto cards function for users at regular stores?

AVisa-issued crypto cards look and work like normal Visa debit cards, but they are linked to crypto wallets, allowing users to spend cryptocurrency at regular stores.

QWhat significant milestone did total stablecoin transaction volume reach as mentioned in the article?

AThe total stablecoin transaction volume crossed $2.5 trillion, with USDT and USDC dominating the usage.

Похожее

The Right Way to Use Skills: 5 Reflections After Anthropic Publicly Shared Its Internal Methodology

A deep dive into Anthropic's internal methodology for building effective AI "Skills" reveals five key insights for maximizing their value. First, Skills should focus on capturing "Gotchas" and tacit organizational knowledge—like common pitfalls and undocumented rules—rather than restating general information the AI already knows. Second, think of Skills as a form of "Context Engineering"; they are best structured as folders, not monolithic documents. A core `SKILL.md` file should act as a navigational index, progressively pulling in detailed references, examples, and assets only as needed to avoid overwhelming the model's context window. Third, whenever possible, automate repetitive tasks with scripts. This preserves the model's reasoning capacity for judgment and analysis, while scripts reliably handle the execution, saving tokens and improving accuracy. Instructions within a Skill provide the "why" and the expert judgment, while scripts provide the concrete "how." Fourth, a Skill's description is critical and often misunderstood. It should not be a list of features but a routing rule that clearly signals *when* the Skill should be triggered based on user intent and common phrasing. Finally, as Skills scale from personal tools to team-wide assets, management is crucial. Anthropic advocates for a lightweight, organic approach: let new Skills spread organically within small groups first. Those that prove genuinely useful through adoption naturally graduate to a formal marketplace, ensuring the curated library contains only high-value, battle-tested tools.

marsbit12 мин. назад

The Right Way to Use Skills: 5 Reflections After Anthropic Publicly Shared Its Internal Methodology

marsbit12 мин. назад

Vying for the AI Payment Track: Traditional Card Networks Face Off Against Coinbase

As AI agents increasingly conduct commercial transactions, a battle for control over the underlying payment infrastructure is unfolding. The competition centers on two divergent and incompatible technical approaches for autonomous AI payments. One camp, led by traditional card networks Visa and Mastercard, relies on tokenized card credentials within the established banking rails. Visa's "Intelligent Commerce" and Mastercard's "Agent Pay" services extend their existing tokenization technology to authorized AI agents for consumer retail transactions, leveraging decades of fraud protection and dispute resolution systems. Their partners include major AI firms like Anthropic, OpenAI, and Microsoft. The opposing camp, spearheaded by Coinbase, advocates for an open internet protocol using stablecoins. Coinbase's x402 protocol utilizes the HTTP 402 status code to enable direct, machine-to-machine micropayments with USDC on-chain. This model eliminates card fees and is designed for high-frequency, low-value transactions between AI agents, such as paying for API calls or data streams, where traditional card costs are prohibitive. Currently, application scenarios are clearly divided. Mainstream consumer-facing AI shopping services (e.g., ChatGPT's "one-click checkout," Amazon's AI-assisted shopping) predominantly use card channels due to their mature consumer protections and merchant networks. Conversely, the stablecoin channel dominates machine-to-machine payments, as seen in Amazon Bedrock's core payment service using Base blockchain. Significantly, traditional card networks are not solely defending their turf; they are also investing in the stablecoin arena. Visa has rapidly expanded its stablecoin settlement volume and partnered with Coinbase on interoperability, while Mastercard moved to acquire stablecoin platform BVNK. This dual-strategy indicates their intent to become the fee-collecting gateway for all payment flows, regardless of the underlying rail. The short-term outlook is for coexistence: cards for personal retail, stablecoins for machine transactions. The long-term outcome hinges on whether AI-driven commerce will resemble traditional retail or evolve into a vast network of machine micropayments. Visa and Mastercard's hedging strategy suggests they are prepared for either future, while companies betting on a single channel face greater risk.

Foresight News14 мин. назад

Vying for the AI Payment Track: Traditional Card Networks Face Off Against Coinbase

Foresight News14 мин. назад

For the First Time, Pure Human Video Pretrained VLA for Dexterous Manipulation: Deployable with Minimal Fine-Tuning Data

For the first time, a purely human-video-pretrained Vision-Language-Action (VLA) model for dexterous manipulation requires only a small amount of data for fine-tuning to achieve successful real-world deployment. Achieving human-level dexterous manipulation remains a core challenge in robotics. While multi-fingered hands offer hardware potential, Visual-Language-Action (VLA) models lag behind due to the high cost of collecting diverse, high-quality robot data. A novel framework, VITRA, developed by Microsoft Research Asia and Tsinghua University, addresses this by automatically transforming massive, unlabeled real-world human activity videos into a structured V-L-A training dataset. Key innovations include precise 3D hand motion annotation from monocular video, atomic action segmentation based on hand-speed minima, and automated instruction generation using VLMs combined with 3D trajectory visualization. This process created a massive dataset of 1 million clips. Pretrained exclusively on this human video data, the VLA model (combining a VLM backbone with a Diffusion Transformer action expert) demonstrates strong zero-shot hand motion prediction in unseen environments. Crucially, it requires minimal fine-tuning (~1.2k demonstrations) on real robot data to achieve high-success-rate dexterous manipulation tasks like grasping, placing, pouring, and sweeping on hardware like the Realman robot with the XHAND1 dexterous hand. The model shows exceptional generalization to novel objects and environments. The research also observes promising scaling behavior, where performance improves with more pretraining data, paving the way for more generalized embodied intelligence.

marsbit24 мин. назад

For the First Time, Pure Human Video Pretrained VLA for Dexterous Manipulation: Deployable with Minimal Fine-Tuning Data

marsbit24 мин. назад

Ray Dalio: The Revival of a China-led 'Tribute System', and the AI Industry Will Develop Like the EV Industry

Ray Dalio, founder of Bridgewater Associates, discusses shifting global power dynamics and the AI competition between the U.S. and China. He argues U.S. credibility as a global power willing to fight for its interests is declining, while China is accumulating wealth and influence. Dalio observes a trend where world leaders visit China, which he compares to a modern "tribute system"—not oppressive, but a hierarchy where nations acknowledge China's strength, affecting trade and security. This shift creates market uncertainty, prompting investors to seek asset diversification, including gold. Regarding AI, Dalio contrasts the U.S. and Chinese approaches. U.S. companies like OpenAI focus on monetization and subscriptions for revenue. In contrast, China treats AI as a public utility, akin to electricity or water, aiming for widespread worker accessibility over immediate profitability. He draws a parallel to China's electric vehicle industry success, where companies like BYD achieved rapid market growth. Dalio and JPMorgan's Mary Callahan Erdoes note China lacks U.S.-style fear of AI displacing jobs; instead, it focuses on leveraging AI for development and dominance in next-generation industries like robotics.

Odaily星球日报51 мин. назад

Ray Dalio: The Revival of a China-led 'Tribute System', and the AI Industry Will Develop Like the EV Industry

Odaily星球日报51 мин. назад

Michael Saylor's Latest Thoughts: The Four Beliefs That Determine Bitcoin's Future

Michael Saylor outlines four key ideologies shaping Bitcoin's future: Bitcoin Maximalists view it as the dominant monetary network and a breakthrough in economic empowerment. Bitcoin Capitalists focus on integrating Bitcoin into the global economy—into capital markets, banking, and corporate strategies—to realize its full potential as digital capital. Bitcoin Technologists advocate for ongoing protocol improvements in scalability, privacy, and security to ensure Bitcoin evolves with technological demands and threats. Bitcoin Fundamentalists prioritize protecting Bitcoin's core principles of self-custody, decentralization, and its use as sound money, guarding against dilution or capture. Each group addresses a vital aspect: Maximalists provide conviction, Capitalists drive adoption, Technologists tackle technical challenges, and Fundamentalists defend the protocol's integrity. The article argues that Bitcoin's path forward requires a balanced synthesis of these perspectives—maintaining a secure, immutable core while enabling disciplined innovation and integration in higher layers. The ultimate challenge is for Bitcoin to remain true to its principles while becoming useful to the broader world.

marsbit1 ч. назад

Michael Saylor's Latest Thoughts: The Four Beliefs That Determine Bitcoin's Future

marsbit1 ч. назад

Торговля

Спот

Фьючерсы

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на PEOPLE (PEOPLE) представлены ниже.