Fidelity launches FIDD on Ethereum – Could this boost ETH?

ambcryptoОпубликовано 2026-01-30Обновлено 2026-01-30

Введение

Fidelity, a $5.9 trillion asset manager, has announced the launch of its own stablecoin, FIDD, on the Ethereum network. This move leverages Ethereum's existing dominance, as it already controls 56% of the stablecoin market and 60% of the Real-World Asset (RWA) sector's TVL. The launch is expected to boost on-chain liquidity, facilitate smoother capital flows across DeFi, and strengthen Ethereum's position as the leading DeFi hub. Consequently, increased network activity could lead to higher transaction fees, more ETH burned, and a potential supply squeeze. On-chain data shows whales are accumulating and staking ETH, with staked ETH reaching an all-time high of 36.5 million. This strategic decision by Fidelity underscores Ethereum's robust fundamentals and could further solidify its long-term technical advantage.

Big financial players are finally hopping on the stablecoin bandwagon.

Fidelity, the $5.9 trillion asset manager, just announced it’s building its own stablecoin, FIDD. Looks like even the heavyweights don’t want to be left behind as DeFi continues to shake up traditional finance.

But the buzz isn’t really about the coin itself. What’s grabbing attention is Ethereum [ETH] as the launch platform. With ETH controlling 56% of the stablecoin market, it’s the natural playground for a move of this scale.

From a technical perspective, another “digital dollar” on Ethereum naturally means more on-chain liquidity, smoother capital flows across DeFi sectors, and an extra edge for ETH in the decentralized finance game.

In fact, the FUDD launch couldn’t come at a better time. Ethereum already dominates the RWA sector with 60% of TVL, and as more stablecoins roll in, its position as the go-to DeFi hub only gets stronger.

Meanwhile, analysts are turning bullish on network performance. Growing liquidity drives more daily transactions, higher fees, and more fees burned, which could set the stage for a supply squeeze down the line.

The big question now: Will this theoretical edge actually play out in reality?

FIDD launch strengthens Ethereum’s technical edge

When smart money starts moving during FUD, it’s never random.

Data from Onchain Lens shows whales are back in ETH accumulation. One wallet grabbed 29,665 ETH, while another pulled 3,207 ETH to stake. At the same time, long positions on Bitfinex hit a seven-month high.

Taken together, it’s clear smart money is betting on Ethereum’s future. The big takeaway? It’s not just speculation. Daily transactions are also surging, closing in on the 2.8 million ATH, showing real activity behind the hype.

Notably, this move also backs analysts’ thesis.

With the FIDD launch, Ethereum’s supply squeeze is real. BitMine [BMNR] already has 61% of ETH supply staked, pushing total staked ETH to an all-time high of 36.5 million, or over 30% of total supply.

Now, add more stablecoin liquidity moving on-chain on top of Ethereum’s dominance in key sectors. In this setup, ETH’s daily transactions are set to surge, paving the way for a supply squeeze as more fees get burned.

In this context, Fidelity picking Ethereum isn’t random. Instead, it’s a strategic move, leveraging ETH’s strong fundamentals to strengthen its DeFi layer, while also boosting ETH’s technical edge over the long run.

Final Thoughts

  • Fidelity launches FUDD on Ethereum, leveraging ETH’s liquidity, DeFi dominance, and strong fundamentals.
  • Whales and network activity surge, signaling growing transactions, staking, and a potential ETH supply squeeze.

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.

marsbit2 мин. назад

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

marsbit2 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 News4 мин. назад

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

Foresight News4 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.

marsbit14 мин. назад

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

marsbit14 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41 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41 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.

marsbit55 мин. назад

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

marsbit55 мин. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Manyu: восходящая мем-звезда на Ethereum, готовая открыть новую эру культуры Shiba

Manyu - это мемтокен на Ethereum, который приносит децентрализованную культурную и развлекательную ценность через вирусное влияние в соцсетях и вовлечённость сообщества.

1.9k просмотров всегоОпубликовано 2025.11.27Обновлено 2025.11.27

Manyu: восходящая мем-звезда на Ethereum, готовая открыть новую эру культуры Shiba

Неделя обучения по популярным токенам 14: Glamsterdam — самое ожидаемое обновление Ethereum в 2026 году

Ordinals/Runes по-прежнему стимулируют доходы от комиссий за блоки и активность разработчиков, рассматриваются как отправная точка «нативной эмиссии активов» в сети.

1.5k просмотров всегоОпубликовано 2026.04.29Обновлено 2026.04.29

Неделя обучения по популярным токенам 14: Glamsterdam — самое ожидаемое обновление Ethereum в 2026 году

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 ETH (ETH) представлены ниже.

活动图片

Топ вопросы

Популярные категорииright-arrow

Популярные тегиright-arrow