Ethereum Network Takes The Crown As The Home Of On-Chain AI Agents

bitcoinistОпубликовано 2026-02-27Обновлено 2026-02-27

Введение

Ethereum is emerging as the dominant hub for on-chain AI agents, expanding beyond its DeFi roots. A recent report highlights that it hosts over 27,300 AI agents, significantly more than other major chains like Base and BNB Smart Chain. When combined with its Layer 2 networks, the Ethereum ecosystem supports the vast majority of all on-chain AI activity. Analysts note that AI agents thrive on Ethereum due to its deep liquidity, battle-tested infrastructure, and strong network effects. Bitmine Immersion is positioned to benefit from this trend, holding 4.4 million ETH and building staking network MAVAN to support Ethereum’s next phase and the growing ecosystem of AI-driven economic transactions.

Ethereum network dominance is turning out to be constructive rather than speculative as the blockchain expands beyond its Decentralized Finance (DeFi) stance. After dominating as a leader in on-chain finance, the network is now leading AI innovation.

AI Innovation Accelerates On The Ethereum Network

As the blockchain landscape expands, the Ethereum network is taking the spotlight in terms of Artificial Intelligence (AI) innovation. A recent report indicates that the blockchain is emerging as the primary hub for on-chain AI agents, suggesting an expansion beyond its roots in DeFi.

Compared to other chains, ETH is gradually becoming the home for these projects, surpassing them by a long shot. More autonomous, revenue-generating AI systems are being constantly hosted and supported by the blockchain.

As seen on the chart shared by Leon Waidmann, a data analyst and the head of research at Lisk, the number of AI agents on Ethereum has reached 27,315. Other major chains, such as Base, Monad, MegaETH, and BNB Smart Chain, have recorded 19,499, 8,348, 8,150, and 6,689 in AI agents, respectively. With this figure, the ETH network now handles 40% more AI agents than the chain in second spot.

Source: Chart from Leon Waidmann on X

However, this may be larger than it looks. Base, along with Arbitrum, Scroll, Linea, and MegaETH, is an Ethereum Layer 2, which means the ETH ecosystem accounts for the vast majority of all on-chain AI agents when put together.

During this period, discussions regarding a haven for the AI agents. Providing an answer that aligns with that of the market, Waidmann stated that these agents live where the liquidity is, where the smart contracts are battle-tested. In addition, this is where the infrastructure is deepest and where the network effects are at their strongest.

Bitmine In The Center Of The AI Agents’ Growth

BMNR Bullz has revealed on X that Bitmine Immersion is positioned for Ethereum’s next phase and AI agents. With the internet shifting from moving information to moving value, the company is emerging as a pioneer of the transition. Previously considered as separate trends, blockchain, stablecoins, and AI are now converging into a programmable economic system where transactions, settlement, and capital allocation occur natively online.

The world is seeing a change with tens, potentially hundreds, of billions of AI agents set to interact and perform economic functions over the internet. These agents will need to work with programmable money, open settlement, and neutral infrastructure, not legacy rails, and this is where Ethereum comes in.

This is structurally bullish for ETH, and Bitmine was built around that reality. Bitmine boasts roughly 4.4 million ETH, marking about 3.7% of the total supply. There is zero debt and no forced selling through cycles from the company; therefore, reserving liquidity to accumulate during drawdowns. Furthermore, the firm has locked away 3 million ETH in staking, earning native yield.

Beyond holding and staking, Bitmine is building a staking and validation network, MAVAN, created to bolster its assets and expand to stake other companies’ crypto over time. This network will position the company at the forefront of ETH’s next phase and AI agent, and as part of the infrastructure layer supporting external capital.

ETH trading at $2,038 on the 1D chart | Source: ETHUSDT on Tradingview.com

Связанные с этим вопросы

QAccording to the article, which blockchain network is leading in on-chain AI agents and by what margin?

AThe Ethereum network is leading in on-chain AI agents, handling 40% more AI agents than the chain in second place.

QWhat key reasons does Leon Waidmann give for why AI agents are primarily on the Ethereum network?

ALeon Waidmann states that AI agents live where the liquidity is, where smart contracts are battle-tested, where the infrastructure is deepest, and where the network effects are at their strongest.

QWhat company is highlighted as being positioned for Ethereum's next phase and AI agents, and how much ETH does it hold?

ABitmine Immersion is highlighted, and it boasts roughly 4.4 million ETH, which is about 3.7% of the total supply.

QBeyond holding ETH, what specific network is Bitmine building to support its position in the ecosystem?

ABitmine is building a staking and validation network called MAVAN to bolster its assets and expand to stake other companies' crypto.

QWhat major shift on the internet does the article mention that is creating the need for AI agents to work with programmable money?

AThe article mentions that the internet is shifting from moving information to moving value, which requires AI agents to work with programmable money, open settlement, and neutral infrastructure.

Похожее

Why Pricing Social Interactions is Doomed to Fail?

Titled "Why Putting a Price on Social Interaction Is Doomed to Fail," this article critiques attempts to monetize social networks directly through SocialFi models, arguing their inevitable failure stems from a fundamental misunderstanding of media dynamics. Using Marshall McLuhan's theory of "hot" and "cold" media, the author posits that social networks are inherently "cold" media. Their value isn't contained in individual posts but is co-created through user participation, interpretation, and fragmented, ongoing interaction (e.g., replies, shares). This ambiguity and need for user involvement are core to their function. The article asserts that SocialFi projects like Friend.tech failed because introducing real-time, tradable financial pricing (a definitive "hot" signal) into this "cold" environment doesn't add a layer—it replaces the medium's essence. The unambiguous price signal overshadows and nullifies the nuanced, participatory social signal. Users become traders, not participants, and when speculative profits vanish, the underlying social ecosystem—never genuinely cultivated—collapses entirely. This principle extends beyond crypto. The author argues platforms like Twitter have gradually "heated up" through metrics (likes, retweets counts, algorithmically defined value), shifting users from participants to performers and eroding organic engagement. The solution isn't to abandon capital but to manage its entry point. Successful models like Substack, Patreon, or Bandcamp allow capital to "condense" at specific, isolated nodes (e.g., subscriptions, one-time payments) without permeating and "heating" every social interaction. They preserve the core "cold," participatory medium while enabling monetization at designated boundaries. The NFT boom and bust serves as a stark parallel: the ancient "cold" medium of collecting (valued for story, community, gradual accumulation) was rapidly destroyed by platforms that introduced real-time floor prices, rarity scores, and trading dashboards, transforming collectors into speculators and vaporizing cultural value when prices fell. The core lesson: "Liquidity equals heat." Injecting high liquidity and definitive pricing into a "cold" participatory medium doesn't optimize it; it fundamentally alters and destroys its value-creating mechanism. The future lies not in pricing every social gesture but in finding precise, non-invasive points for capital to condense without overheating the entire ecosystem.

marsbit3 мин. назад

Why Pricing Social Interactions is Doomed to Fail?

marsbit3 мин. назад

Jensen Huang's CMU Speech: In the AI Era, Don't Just Watch, Build

Jensen Huang, CEO of NVIDIA and a first-generation immigrant, delivered the commencement address to Carnegie Mellon University's class of 2026. He shared his personal journey from a humble background to founding NVIDIA, emphasizing resilience, learning from failure, and the responsibility that comes with leadership. Huang framed the present moment as the dawn of the AI revolution, a shift he believes is more profound than previous computing waves. He described AI as fundamentally resetting computing—moving from human-written software to machines that understand, reason, and use tools. This will create a new industry for generating intelligence and transform every sector. While acknowledging AI's potential to automate tasks and displace some jobs, Huang distinguished between the *tasks* of a job and its core *purpose*. He argued AI will augment human capability, not replace humans. The real risk, he stated, is not AI itself, but people being left behind by those who effectively use AI. He presented AI as a generational opportunity for massive infrastructure investment—in chip factories, data centers, energy grids, and advanced manufacturing—that could re-industrialize nations like the U.S. and bridge the digital divide by making computing and intelligent tools accessible to all. Huang called for a balanced approach: advancing AI safely and responsibly, establishing prudent policies, ensuring broad access, and encouraging universal participation. He urged the graduates not to fear the future but to engage with optimism and ambition, reminding them of CMU's motto, "My heart is in the work." His core message was clear: this is their moment to actively build and shape the AI-powered future, not merely observe it.

marsbit1 ч. назад

Jensen Huang's CMU Speech: In the AI Era, Don't Just Watch, Build

marsbit1 ч. назад

The Era Has Arrived Where Human Writers Must Prove They Are Not Machines

The article describes an era where AI-generated content is flooding the market, forcing human authors to prove they are not machines. It begins with the example of dozens of AI-written, error-ridden biographies of Henry Kissinger appearing on Amazon within hours of his death, a pattern repeated for other deceased celebrities and even living experts who find fraudulent books under their names. This spam content has exploded, with monthly new book releases on platforms like Amazon reaching 300,000 by late 2025. The issue spans genres, from suspiciously high proportions of AI-written teen romance and self-help books to dangerous, AI-generated foraging guides containing lethal advice. The platforms' automated review systems, designed to catch plagiarism and banned words, are ill-equipped to detect AI-generated text that avoids these pitfalls while being nonsensical or fraudulent. The problem has infiltrated traditional publishing. A major publisher, Hachette, had to recall a bestselling horror novel after AI detection tools suggested 78% of its content was machine-generated. An acclaimed European philosophy book was later revealed to be entirely written by AI under a fake author persona. In response, authors are fighting back. At the 2026 London Book Fair, 10,000 writers published a blank book titled "Don't Steal This Book" containing only their signatures—using emptiness as a protest weapon in an age of AI overproduction. Initiatives like the "Human Author Certification" program have emerged, ironically placing the burden on humans to prove their work is not machine-made. The article warns of a vicious cycle: AI-generated low-quality books pollute the data used to train future AI models, leading to "model collapse" and an ever-worsening flood of digital waste, eroding trust in publishing and devaluing human creativity.

marsbit1 ч. назад

The Era Has Arrived Where Human Writers Must Prove They Are Not Machines

marsbit1 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Как купить HOME

Добро пожаловать на HTX.com! Мы сделали приобретение Defi.app (HOME) простым и удобным. Следуйте нашему пошаговому руководству и отправляйтесь в свое крипто-путешествие.Шаг 1: Создайте аккаунт на HTXИспользуйте свой адрес электронной почты или номер телефона, чтобы зарегистрироваться и бесплатно создать аккаунт на HTX. Пройдите удобную регистрацию и откройте для себя весь функционал.Создать аккаунтШаг 2: Перейдите в Купить криптовалюту и выберите свой способ оплатыКредитная/Дебетовая Карта: Используйте свою карту Visa или Mastercard для мгновенной покупки Defi.app (HOME).Баланс: Используйте средства с баланса вашего аккаунта HTX для простой торговли.Третьи Лица: Мы добавили популярные способы оплаты, такие как Google Pay и Apple Pay, для повышения удобства.P2P: Торгуйте напрямую с другими пользователями на HTX.Внебиржевая Торговля (OTC): Мы предлагаем индивидуальные услуги и конкурентоспособные обменные курсы для трейдеров.Шаг 3: Хранение Defi.app (HOME)После приобретения вами Defi.app (HOME) храните их в своем аккаунте на HTX. В качестве альтернативы вы можете отправить их куда-либо с помощью перевода в блокчейне или использовать для торговли с другими криптовалютами.Шаг 4: Торговля Defi.app (HOME)С легкостью торгуйте Defi.app (HOME) на спотовом рынке HTX. Просто зайдите в свой аккаунт, выберите торговую пару, совершайте сделки и следите за ними в режиме реального времени. Мы предлагаем удобный интерфейс как для начинающих, так и для опытных трейдеров.

684 просмотров всегоОпубликовано 2025.06.10Обновлено 2025.06.10

Как купить HOME

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 HOME (HOME) представлены ниже.

活动图片